Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good thin crust pizza.  Went late and they didn't have all of the toppings I wanted, but I enjoyed what I ended up with.  Pick your toppings and sauce, really your fault if you don't like it!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.59 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As a frequent Ramener from west coast, I regret to say that it's just not worth waiting for 2hours... Shisengumi,santoko... are equally good if not better. And the price is only half and the portion in much more.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.104761905; Sentiment_Subjectivity (from 0 to 1): 0.452380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cant believe I didn't come here before moving from NYC. Its as close as you will get to Mexican food in Manhattan (other places are at Sunset Park and Corona Queens). I got the torta milanesa. Loved it. Also order guac!! Also they have a great brunch deal! I will definitely be back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.385 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best neighborhood spot! I've been haunting this joint since they first opened as a cafe and its only gotten better since they've also become a bar at night. The happy hour is really a happy 'day' as its from 2-9pm!! amazing! prices are just right and you get a lot for how little you spend. Most items are under $6. During happy hour, beers on tap are $3 and there are deals like a beer n fries for $5. The staff is friendly and out-going, the owners are cool and really down-to-earth. The atmosphere is welcoming and comfortable and the space out back is perfect for warm summer days/nights. They also have recently gotten a foosball table and 2 beer pong tables. The music is always on point. On Weds, there's a trivia night that looks to become quite popular. The food is yummy and presented well. In the beginning, they didn't seem to put much effort into the presentation but I didn't mind because I was more interested in eating the yummy food, but these days, they plate the food to look as yummy as it tastes. I love the waffles (Ah May Zing! no eggo frozen stuff here!), bagel sandwiches, wraps, and grilled cheese. The smoothies are yum and the vanilla lattes are perfect (when the espresso machine is operating properly that is.) I like the regular coffee also. The beer selection is decent and a long happy hour means I can have a few brews and not kill my wallet. They're experimenting with cocktails and adding new concoctions to the menu. I love what they're mixing up so far and look forward to more tasty cocktails to sip this summer. They have TVs and its a great place to watch the game, even if you're not that into sports. Its also fun to watch Spanish soaps on mute with the bar patrons making up the dialogue! I love Brooklyn Stoops, its like my own version of Cheers. Seriously...they know my name! hahaha. The Stoops is full of interesting characters, good beer, good food, good music, fun staff and always a good time. You can feel comfortable here chillin with a beer and your fave book, having a chat with total strangers, bringing your crew and having a party or Sunday brunch or just posting up to drink a brew and watch a game.  Oh and ladies, under the bar are hooks for your purses! Brooklyn Stoops! I heart you!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.377427781; Sentiment_Subjectivity (from 0 to 1): 0.559945823 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As with the other Meyer restaurants, this one was on the whole, very good, with excellent (if on the casual side) service, and great Tuscan-inspired dishes. The one surprise was the less than good pasta which was a definite disappointment and surprise of the evening. The starters of grilled octopus and fried artichoke with anchovy dip were perfect. Yes the artichokes were a bit greasy. Maybe also a tad overdone. But with the aioli, all was forgiven.  As mentioned earlier, the spaghetti carbonara,(we had them split an order to share as a second course) was the low point of the evening.  The pasta was undercooked and the sauce was terribly oversalted (guanciale is plenty salty already).  The famed suckling pig with the roasted rosemary potatoes atop a pool of jus delivered all the right notes - crispy, succulent and flavorful.  We ended the evening with a lemon and pignolia tart - a light refreshing dessert with copious sprinkling of pine nuts.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.189113757; Sentiment_Subjectivity (from 0 to 1): 0.598558201 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was here slightly past half-12 on a Sunday. There was quite an insane crowd of people waiting outside of the cafe. Was told that the wait would take around 30 minutes - but within 10 minutes, my friend and I were seated! which was YAY as we were both starving. I ordered its Eggs Benedict - it was 3.5 stars - but the house fries was amazing! the baked skin was crispy and salty! We shared a portion of their legendary pumpkin pancakes. They were all right as well ... not too impressive. Service was average as well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.227901786; Sentiment_Subjectivity (from 0 to 1): 0.641964286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best German food I've had in NYC. Amazingly delicious. Small place with a great atmosphere in the LES. Come here with no more than 4 people. The beer is reasonably priced and you can't match this type of atmosphere when it comes to German food anywhere else. The owner is awesome and will help you out with anything you need. Will definitely come back to this place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.318181818; Sentiment_Subjectivity (from 0 to 1): 0.459090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Please everyone, stop going to Grimaldi's.  Seriously, stop it.  It's pizza.   I'd like to be able to get to my apartment without navigating a sea of crazy people clogging the sidewalk and blocking my front door.  Crazy because they're willing to wait 2 hrs in line for pizza!  And I think if we're being honest here, only decent pizza at that.  Fresh ingredients and thin crust, yes, but still... just pizza.  Why then, you're asking yourself, do so many people think it's the greatest thing on earth?   Here's why--because they've been waiting in line for 2 hrs and they're STARVING!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.120486111; Sentiment_Subjectivity (from 0 to 1): 0.771527778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're looking to plan a private event, DO NOT GO HERE.  The event staff is extremely unfriendly and short.  Take your money somewhere else!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.041666667; Sentiment_Subjectivity (from 0 to 1): 0.558333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 kind of reminds me of St. Louis-style pizza, what with its thinness and rectangular slices, only there are quality ingredients and an impressive crust. Speaking of the crust, it's bubbly and lightly burnt, which is nice, but on the soft side - I wouldn't want to lose the chewy texture entirely, but just a little more crispness would elevate things. Red sauce is a weak spot - I'd prefer something a little more simple that lets the tomato flavor shine. Also, a small quibble about the menu's listing of "caramelized onions" - the onions here are sauteed, which is quite a different animal than those that are truly caramelized. Small shortcomings aside, these pies are thoroughly enjoyable, priced right and deserving of kudos for their use of humanely raised meats. The beer/wine list is very respectable, if not mind-blowing. Also, the service is friendly, knowledgable and quick. Overall, this place is perfect for a low-key dinner any night of the week.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.247761905; Sentiment_Subjectivity (from 0 to 1): 0.581714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Rare that I feel this let down by Yelp (and, apparently, some good press coverage), but it's rare that I have such mediocre brunch food with sad service. It's mainly small things, but here were my issues: 1) Service was very poor. The waiter was inattentive and didn't even offer refills on coffee (generally a deal-killer for me when it comes to brunch). When I asked for things he was on the gruff side, like it was some kind of imposition. He spent more time canoodling with another waiter/manager there than he did serving us. 2) Maybe 15% overpriced. $14 for eggs benedict (I had mine with salmon so it was another couple bucks) is just too much where there are other, cheaper, better places around. (The piece of salmon on the plate was pretty pathetic in size, as well.) 3) My hollandaise sauce was super lemony - the lemoniest I've ever had - and it overpowered everything on my plate. 4) We sat in the back room (not on the patio, but the room in front of the patio with the fireplace), and there were a large quantity of ants back there, including on the table. That said, my partner really enjoyed his cocotte. Overall, I would not return for brunch. May be better for dinner and beer.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.071040904; Sentiment_Subjectivity (from 0 to 1): 0.541889499 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this place is a jewel in the city. There are few complaints and many praises. NY knows how to do it like no other places.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.120833333; Sentiment_Subjectivity (from 0 to 1): 0.325 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for lunch with my parents. We got in early so didn't have to fight the crowds; the hostess seated us immediately. The lunch here is a pretty great deal - about $10 for miso soup, small salad, rice and entree. I got the simmered pork belly which was really rich and delicious. I wish the salad was a bit larger - it's really just about three bites worth. The miso soup was standard - nothing to complain about or praise. Back to the pork belly - it was tender and sitting in a tasty broth. The fat portions of the belly melted in my mouth. Good stuff. Didn't get a chance to try either of my parents dishes - but they looked good. My mom got some grilled fish and my dad got some deep fried pork. The atmosphere of this place is casual and the entire restaurant is essentially in a basement. It can get somewhat loud but it didn't bother me. Really cool spot; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.217105263; Sentiment_Subjectivity (from 0 to 1): 0.517982456 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretty sure Ear Inn is the oldest bar still around in NYC.  I love how the ceiling is crooked and sloped down, it feels like you might see a Hobbit at the bar.  Some of the regulars do look a bit Hobbity actually.  It's a great place to get a decent burger and beer for lunch too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.294444444; Sentiment_Subjectivity (from 0 to 1): 0.613492063 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: New York is arguably the best overall city in the US for dining and Yasuda simply fortifies that belief.  Came to New York for a conference and my wife heard rave reviews about this place from friends and co-workers so we had to check it out.  Outstanding cuisine - with the sushi being fresh and beautifully arranged.  We talked with several other patrons who all agreed; one gentleman said this is the best place for sushi he's ever been to (that's a bit pretentious - I know some places in Tokyo which could rival it!).  Nevertheless, you get the picture:  a great restaurant.  Considered pricey, but if you plan out your meal carefully enough (and don't get too carried away), it can be reasonable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.294848485; Sentiment_Subjectivity (from 0 to 1): 0.477748918 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Heard about it for long enough and finally made the 4 minute walk on Sunday afternoon. It almost  brought  brought a tear to me eye. So perfectly cooked and spiced plus the bacon I added to the smash was delicious. It's hard to explain how good this was but this may help. I JUST HAD IT TONIGHT (Monday) FOR DINNER! It was just as good as yesterday's lunch. I could easily do a late night snack there as well. Will be back soon with everyone I know.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.293333333; Sentiment_Subjectivity (from 0 to 1): 0.624166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Room Service pad thai + mango mojito = beautiful lunch. The chandelier and bathroom weren't too shabby either.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.85; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for a drink with some co-workers before heading to another bar nearby, and ended up staying for some food. I ordered the shrimp salad, wherein the greens were soggy and overdressed, and the shrimp was overcooked and flavorless. My co-workers had a pasta special with a vodka sauce that was completely bland. By far, the best dish at the table was the shepherd's pie, which came in a pretty hefty portion. I might come back here for drinks some time, but I'll head somewhere else if I'm hungry. Essentially, the service and ambience were great, but the food left a lot to be desired. Except for the shepherd's pie. Go ahead and get that.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26005291; Sentiment_Subjectivity (from 0 to 1): 0.528306878 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best grilled cheese and brunch place in Astoria!! I always enjoy my time here!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.8125; 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: what?  you're yelping Pylos because you've never been? get there tonight - it's delish.  so many choices on this little block, but this is the spot for really delicious dinner. lots of greek places in the city, but this one really gets it right.  there were four of us and we just ordered a million things from the menu - so we did greek tapas style, don't judge, it was perfection.  everything was prepared to perfection. it was packed on a weeknight - we had about an hour wait so we crossed the street to Mini Bar for a couple glasses of wine.   do the same - it was a great starter to dinner! this little stretch of street is becoming irresistible to me - i had the best haircut and color across the street (go see Nic at Slate), a fabulous time at Mini Bar, and now the best greek in the city.  can somebody explain why i'm living in tribeca when i'm so drawn to this block; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.364047619; Sentiment_Subjectivity (from 0 to 1): 0.437380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After a long day either rehearsing or performing I can always count on Junior's  to satisfy my late night cravings for either some cheesecake or there amazing cole slaw...both by far my favorite things to have at Juniors! They have an amazing team who are outstanding at what they do!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.314285714; Sentiment_Subjectivity (from 0 to 1): 0.810714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Took a trip out to Brooklyn to show my gf's and sister-in-law (both from Texas) what real New York pizza is about!  Actually, it was also my first time at Spumoni's so I was techniquely taking a huge gamble.  With some advice and reviews from my italian friends, I knew the risk was worth the reward.  Sunday afternoon and it was not packed with decent parking spots across the street. Food:  We ordered both the round and their famous sicilian pie.  Their round pie was delicious typical NY pizza.  Very thin with a nice bottom crust.  Their sauce was outstanding with a generous amount of cheese still melting on top.  My favorite was their Sicilian of course.  Crusty on the bottom, yet soft and buttery in the middle.  The sauce that I loved so much was just layered beautifully on top.  After the first bite, I knew it was already worth it.  Good call Rich... good call. Now whats better than their Sicilian slice?  Leftover, and rebaked.  Wow.  JUST WOW!  Make sure you get some to go to try it out!  Just out of this world.  Next time I'm back there, I'll have a good at their ice.  Heard they're out of this world.  Enjoy!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.293162338; Sentiment_Subjectivity (from 0 to 1): 0.547972583 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great idea but poorly executed. I love bacon, but the strips you get with the flight are a bit sad. They come on a slate and there's two slices of each type, but it just looked so flimsy and inconsistent in cooking time. Also, the beers they have are not "craft" but more of just common, mainstream ones (Brooklyn lager is probably the best beer they have on tap). Don't come expecting anything awesome, you're just getting flavored, thin-sliced bacon.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.65625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had really high expectations of Chuko.  Like SUPER DUPER high expectations.  Although I'm a *gasp* traditional Ippudo fan-like wait 2 hours for ramen or go at noon on Sunday and stand around for 45 minutes person, I was really excited to try Chuko. I was so sad it fell short of my expectations.  We ordered the pork buns to start, and they were just ok.  They were good, don't get me wrong, but they did not live up to Ippudo and most definitely did not live up to my second favorite, Momo's noodle bar.   The waiter did not tell us about the special Pork Bone Ramen that they had that night so we went with Miso Ramen for Jim and a regular pork ramen for me with Pork. It wasn't bad, but it wasn't mind blowing good.  The broth lacked depth, and maybe the pork bone would have hit the spot.   The kale salad was great, I admit.   I will give it another chance, to try the Kimchi or Pork Bone if they're on special, because I don't like to miss the boat on Ramen!!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.173052194; Sentiment_Subjectivity (from 0 to 1): 0.581050616 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great brunch spot & food quality has been consistent past 3 years :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best kibbeh this side of Parramatta.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I work across the street and this bar is the go to spot any day of the week.  They have a ton of craft brews that change all the time.  $5 select beers for happy hour til 7!  I've only had the food here a few times but it was good each time.  Jackie is an awesome bartender!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I tried this place with haste when I discovered it on Yelp. I'd really like to give Melt Shop more stars, but I feel it's only deserving of three at the moment. The service was excellent. The guy at the window was beyond friendly. Being a sucker for truffle anything, I ordered the truffle melt. It had a good bread:cheese:filling ratio and was toasted/melted to perfection. I like that the bread here is pretty thin, there's nothing worse than a sandwich/melt where the bread takes over. Taste was good overall but left something to be desired, though my sandwich choice wasn't particularly something that would be exploding with flavor. The tater tots were pretty good as well. As far as seating goes, there is seating in the Citi atrium but it might be a bit hard to find a table. There is outdoor seating as well, so I will DEFINITELY be returning when the weather is a bit nicer and ordering something a bit more flavorful. I get the feeling I will be updating my review with an extra star or two.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.211363636; Sentiment_Subjectivity (from 0 to 1): 0.592045455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last night I had one of the most amazing dining experienced ever. Everything about this place was perfection. The service was insane we had the best waiter. He was kind recommended two amazing bottles of wine according to our likings. He listen and just provided us work all we ask ( I can be a little demanding borer line annoying). He was the best. Now we basically had a three course meal for the price of a plate. The meals come with Cesar salad than for nine dollars more you get all three pastas of the day which are perfectly cooked aldente. The pumpkin raviolis were to die for. You can really taste the homemade pasta difference. Huge selection of 25 dollar . The atmosphere is magnificent cozy and private regardless of the people around you. They closed at midnight and we left at one without being kicked out (major plus). Our entrees were a beauty. We made great friends seating next to us. Everything was sensational. Great place top eat. Surprised it's on the theatre district district.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.327469136; Sentiment_Subjectivity (from 0 to 1): 0.594753086 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You have to jump through a few hoops to get in, but I must say we had a very awesome experience. The service is attentive, the ambiance is cozy and warm & the food is delicious! I would definitely recommend this place to my fellow Yelpers! Im sure it's very hard for them to remain secret and under the radar....but they seem to be doing a good job! I'm a fan!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.301893939; Sentiment_Subjectivity (from 0 to 1): 0.703914141 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow. Great, cheap, fast falafel.  Not to be missed for the falafel fan.   Update- May 2014- Still really one of the best grab-and-go falafels I have ever had.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 favorite resto in queens. Everything is reasonabLe and the food never lets you down. Worth a visit or two or three ....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211111111; Sentiment_Subjectivity (from 0 to 1): 0.497222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First time here! Been dying to go! Cousin in town so we checked it out! Small spot! Told us a 45 minute wait but since it was just us 2, table became available quick! A plus! $5 happy hour drinks. 2nd plus! Had the Muddy Waters which was good. Cousin tried the fried grits and hot fried chicken which she was very pleased with! I went simple with scrambled eggs, bacon and grits! I was satisfied!  For dessert we shared bourbon pound cake and ice cream! Delicious! Wont wait for family to be in town to return!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.372335737; Sentiment_Subjectivity (from 0 to 1): 0.645421245 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While I was looking forward to having another lunch/dinner spot near the office when I first walked by Union Bar & Kitchen, I ended up being severely disappointed by the food. The plating was terrible and looked like something I'd throw together based on the things I could find in my college refrigerator. I wouldn't go back, but understand it is still early and hope they can turn around their menu. The space itself is pretty cool and there are a few TVs set up. In the meantime, don't bother. It's a bummer because I wanted this place to be good so bad.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.081818182; Sentiment_Subjectivity (from 0 to 1): 0.527272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Eataly needs to rethink some things. I am a self professed foodie that goes everywhere, travels a lot and blogs my adventures. All that to say, I know my stuff. As you enter Eataly, there are these nifty basket carts to load your goodies in. Problem is, they don't fit down many of the aisles. As soon as you enter the place you are dumped right off in the vegetable section. Most of the veggies looked nice but I made the unfortunate mistake of choosing $8 of heirloom tomatoes of which were rotted and mushy! Eataly has no flow to it. I looked for a map, or even someone to ask for one. No such luck. The staff does not make eye contact and almost seem took past you to avoid chatting or helping. I looked for somewhere to eat...I understand it was busy. I have no problem with that, but I went restaurant to restaurant and they were either closed or the wait was 2 hours. It makes no sense to close a restaurant if people are lined up to eat. I gave up and went across the street to eat pasta...and it was delish! I then came back to Eataly and shopped. The shopping? All I can say is $$$$$$$$$$$$! They were out of Chocolate gelato..not good! Pasta selection? I expected to be in Pasta heaven. Didn't happen. There was no variety at all. I did bring some home, cooked it for dinner. It was really nice and would buy it again. The store is really hard to navigate. I had to crawl around people that were blessed enough to get to sit and eat in the pasta place. There were chairs stacked up against a back wall and a street entrance that was blocked by ugly boxes, bikes and junk? Really? I did not feel like I had stepped into Italy, I felt like I was in Shoprite after the senior center had just let the grannies out for their weekly shopping trip. The hype behind Eataly is celebrity and touristy. I am not a tourist and I can live without the celebrity. I do appreciate Eataly's edgy and new approach to the market business. I wanted authentic Italy at my doorstep...to bad. Think I will track down to Mikes in the Bronx next time I want the real deal. Chow!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.039355459; Sentiment_Subjectivity (from 0 to 1): 0.470879028 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely the best coffee in the neighborhood! Quality sake served with a passion! The presentation, professionalism and product have a common theme - consistency. Its not easy to successfully function as a dual use space, but Hi-Collar seamlessly manages to transform via what I call a metamorphosis - from a unique coffee house by day into an exceptional sake bar at night.  Its become a daily routine and always a pleasurable experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.286111111; Sentiment_Subjectivity (from 0 to 1): 0.62037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a pretty good pizza place in Brooklyn. Had the margarita pizza, fennel sausage roll and table 87 salad. All the food was fresh and yummy. Quick delivery to Carroll Gardens.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.395833333; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ordered 2 sandwiches - Gristle outnumbered the meat. It's a shame bec. the parts that were edible were delicious, but comically small for the price. Slow delivery didn't help either.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15; 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: Very fancy schmancy :) great place to take someone on a serious date. Had the 3 course pre-fix dinner. Lobster pasta starter was great as was the main lamb shoulder dish. Dessert of egg nog rolls was also good. Only thing that dropped the 4 stars to 3.5 (I rounded up): - atmosphere is very uppity which wife and I enjoy most of times but that doesn't mean we like snotty and cold. The service felt too... industrial or cold. Too uppity maybe? Wait staff never excused themselves when interrupting conversation and hardly smiled. - perhaps needed to sit downstairs cos the atmosphere upstairs felt less inviting. - not a place to be free and a little boisterous. But then again maybe the wife and I are simply drunken louts haha Conclusion - very classy place have to try it if you haven't. Food is great. If you hit the right night with great wait staff and more lively guests it could turn things around and hit the 4 stars easily. I'll give this place another shot with a group.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235262145; Sentiment_Subjectivity (from 0 to 1): 0.610383598 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 guilty pleasure take out ... so pleasurable, best thing on seamless. always get the fried chicken box. no regrets.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.01; Sentiment_Subjectivity (from 0 to 1): 0.51 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't seem to get why this place is crazy popular. I came here to get some crab meat soup dumplings and they were not what I expected. The soup dumplings came out slightly warm. I was expecting something pipping hot and enjoyable, but it really wasn't. The restaurant could use a tune up especially the tea cups and plates. They are all scratched up. Don't expect to get your own table. Most likely you will be sharing a table with other customers. There are much better options in Chinatown to go to.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.225; Sentiment_Subjectivity (from 0 to 1): 0.678846154 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I dined here a few years.  Recently I went back there for a friend's birthday dinner.  I was excited to have the Black Label Burger again, but to my surprise- -  Price of the burger went up (now $28). -  The burger was much smaller than what I remembered.  I couldn't finish it the first time I had it. This experience was quite a disappointment in paying so much for something that I can easily get half the cost elsewhere and much tastier.   This place is now overrated and you are better off going unless you want to try their souffle.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.063461538; Sentiment_Subjectivity (from 0 to 1): 0.358974359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here Once.   The reason I haven't been back:  located in Williamsburg, its just too far. Aside from that, the BBQ was delicious.  Tender and moist.   You order your meat, find a spot, and eat it up.  There is no table service so don't expect to be waited on.  It's not that kind of place.   It's more casual and relaxed.   *thumbs up*; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.711111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my favorite pizza in NYC!! First off- 1 slice is a meal in itself, which is a rarity. The artichoke pizza is literally artichoke dip with melty cheese on bread. How could that NOT be good??? I've tried everything they had other than the artichoke pizza too, though. The only one I wasn't fond of was the crab pizza- flavor and texture was good, but waaaay too salty! Did i get a bad batch or something?? Anyway, I never got it again. I also get the pizza margherita all the time when I want to be full but not stuffed. There's plenty of cheese (and I'm not talking JUST mozzarella either! yum!), the perfect amount of basil, and a little splash of olive oil over all their pizzas right at the end all over the pie. The sicilian slice is also really good when I'm in a more bread/crust kind of mood. But the best: vodka sicilian slice. OH MY GOD IT"S THE BEST!!! Just try it and get back to me. It needs no explanation.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.425078782; Sentiment_Subjectivity (from 0 to 1): 0.574159664 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hearty Italian food at it's best! Huge portions too so come in with a reservation and a famished bunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here with a friend from work for the first time today, she keeps kosher and it's hard to find good places in this neighborhood where we can both find something we like. Because Nish Nush is advertized as vegetarian I knew it would be fine, but it was nice to arrive and see that it is certified kosher. The staff are friendly and the space is cute and inviting, I only wish it was larger. They have high, communal tables with backless stools that are good enough, but it's hard to know what to do with your purse and giant coat. I had the spicy felafel sandwich and added feta- all of the ingredients were fresh and the sandwich was huge. Best of all it was really, really spicy! The pita was incredible- obviously just baked with a lovely texture. I had hot mint tea which is only $1.50 and is full of large, fresh mint leaves. I also had a Hint peach water which is a favorite, but a tad spendy at $3 a bottle. Overall this place is a very good value for the money. They take credit/debit cards on orders over $6. Despite the cold temps the restaurant was cozy and even sitting in front of the door we didn't freeze. We went at noon and it was pretty packed with a steady stream of to-go customers as well. There are one or two four top tables in addition to the communal tables but I think you'd have to be early to get one.   I'm already looking forward to going back and this will probably become a regular take out spot for me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.248899614; Sentiment_Subjectivity (from 0 to 1): 0.606544897 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had a pork banh mi, the most delicious, cheap sandwich I've had in a long time. Just fantastic. Will be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have to say for such a small menu what they offer is fantastic.  I first experienced Pio Pios food in queens (which I believe is their first location in the NY) and I fell in love.  The chicken is awesome.  The rice and beans, avocado salad, and tostones are good as well.  Sangria was awesome.  Now I use the Pio Pio on the Upper East Side and although the food is good the service is less than stellar.  Use the take out if you can and you will be happy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.352083333; Sentiment_Subjectivity (from 0 to 1): 0.589583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best  pizza in the country; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: pretty good reman in NYC; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.475; 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: Finally, a reason to go to the lettered Avenues! I love me some Spätzle and some Schnitzel on a cold winter's night, and the Wolf delivered!  Not only was the atmosphere warm and cozy, but the design was so eclectic and rustic it was kind of like being in a beautifully decorated barn.  It was hard to get a good look at all of the design detail in the room because it was so crowded with people but what I did see was beautiful and unique.  They even use old bullet casings to present your check at the bar, adorable! The hostess said their would be an hour and a half wait for a table (it was a Friday night at 9:30) so we decided to order a bottle of white from the bartender and hunker down for the long haul.  About 10 minutes after the bartender served us our wine, he came over and got us from the side and said that he had held two bar stools for us. Yay!  Don't you just love attentive staff?  5 stars for the bartender! We had the Freekah salad, the Spätzle and the veal schitzel.  Everything was delicious.  My only regret is that I didn't have room for the Schokolade Nuss Palatschinken. I guess I will just have to go back again after stretching my stomach with my competitive-style Christmas feasting. Hooray for beauty and substance!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.232233796; Sentiment_Subjectivity (from 0 to 1): 0.647800926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ahh...what a great freaking day! A friend of a friend does a monthly food tour and this months feature food was xiaolonbao aka soup dumplings.  the soup dumplings here are very very good.. I would have perferred the soup in the dumpling not to be as hot as it was..i really like to toss the whole dumpling in my mouth and feel the burst of goodness...but here I had do suck the soup out slowly and then eat the dumpling...not the end of the world!!!! The service at  was great!! very attentive!! Also went to the flushing location..not sure why..review to follow!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.473897569; Sentiment_Subjectivity (from 0 to 1): 0.668765432 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Obviously not a fancy sit-down establishment, but for the price I don't really think you can find much better food. My favorite falafel in the city, and the chicken pita is pretty great too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235714286; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my second time at Lupa, and both visits have been nothing short of amazing. Tonight three of us shared an assortment of cured meats, vegetable dishes, a special chicken entree and two deserts. The three of us left debating which dish was the best, and no one could decide. 'Its not as if anything was bad... Everything was great. It's a matter of what was the greatest!' The decor is also noteworthy- comfortable, chic and intimate, but the staff and music make me and my visiting friends feel at home. Finally, the wine list was amazing- and our waitress/bartender Emilia had great recommendations. We tried a range of white and red wines, and I particularly loved the after- meal Amaro. Try lupa. You can't go wrong- unless you fail to make a reservation!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.201607143; Sentiment_Subjectivity (from 0 to 1): 0.574404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best Halal food I've ever had.  Went on a Monday around 12:30.  The line was pretty long but got longer after we had gotten our food.  They had a limited menu with just a few things if I remember correctly but I'm sure that's to the customer's advantage. The three of us ordered the "Combo" plate which consisted of a small side salad, a couple small pieces of pita bread, a generous sharing of tasty yellow rice(saffron?), and the most moist and tender helping of chopped chicken and lamb.  I think that's what did it for me...how delicious the meat was.  I have had dry chicken and lamb before but this place cooks it perfectly. The location is nice...you can sit on the sidewalk seating nearby.  The meals will really fill you up but not so greasy or thick that you will feel bloated, in my opinion.  I snarfed it all down and felt just find afterward.  I love the word snarf...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.126649958; Sentiment_Subjectivity (from 0 to 1): 0.536612364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can only assume that the people giving this place 5 stars are friends of the owner.  Went there on Saturday night with a party of five and was made to feel less than welcomed by the owner manning the front - who had the audacity to repremand our party for being on time for our reservation.   We were seated in the back next to the oven and told to keep the area clear because of food preparation (I would think that management would have thought of that before putting a table in the kitchen).  The pizza was salty but the wine was good.  Our server was very sweet hence the 2 stars, but the owner left much to be desired and because of her this will be my first and last visit, not to mention any recommendation to anyone I know.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.139848485; Sentiment_Subjectivity (from 0 to 1): 0.317727273 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perfect place to relax into the suppl leather couches and have a glass of wine with friends -- my friend lives upstairs and calls it his "living room".  The food is also quite good, and the owners and friendly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.691666667; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Super cute brunch spot in Chelsea, away from the noise. My favorite part were the lattes which are enormous and served in a bowl :). The crepes and croque monsieur were delicious. Super friendly, albeit slow, service. Perfect Sunday comfort food.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.424166667; Sentiment_Subjectivity (from 0 to 1): 0.813333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: These fries are AMAZING... if you have the drunk munchies (or regular munchies lol). But so overpriced. I think it's lame as shit that you have to pay for a tiny ass container of sauce and it's over a dollar for one I'm pretty sure. Also, every time I've been here the fries are cooked in a disgusting black oil... The portion of fries they serve is huge, but I mean the price isn't dirt cheap so it's not a great deal. Idk maybe my review is just harsher than most because I honestly think this place is overrated. I'm not a fry connoisseur, so maybe I'm wrong about this place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.026157407; Sentiment_Subjectivity (from 0 to 1): 0.743702517 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 delivery was here in less than 15 mins. - a feat only possible if they had my order pre-prepared and packed before I called to place the order AND the delivery guy sprinted all the way here - and yet it was only lukewarm. The pasta was fine. Certainly passable for delivery (but not passable for the price). The fennel salad at $10 is a joke. The 4 orange segments were disgusting. The dressing was oily with absolutely no flavor. Never again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.082589286; Sentiment_Subjectivity (from 0 to 1): 0.754761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the my favorite dining experiences of all time.  We took our time eating dinner, and every course was a seasonal delight.  I went in autumn; the restaurant's atmosphere was the perfect antidote for a chilly fall evening.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.966666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Johny's was exactly as described, small, simple, and delicious.  I don't remember the name of the sandwhich I ordered, but it had grilled chicken, sauteed onions, melted swiss cheese, and hot sauce.  To top it off, it was served on a garlic bread roll that was just butter...  so good!   The only downfall I would say if I had to choose one was the quality of their french fries which were mediocre at best, but that means nothing to me when the sandwhich is that good!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.271153846; Sentiment_Subjectivity (from 0 to 1): 0.600549451 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ponty Bistro is a small French-African Bistro, very close to Union Square , Sty-Town, and Gramercy.  The menu is mostly French / Mediterranean with a Senegalese  twist, inspired by the two Head Chefs and owners' Senegalese background. I can say that the food is always amazing- well spiced in simple and interesting ways , beautifully cooked and served. The service is attentive and kind.  They seem to accommodate large groups with ease, even though it is a small and intimate place. My favorite meal here is the chicken parm.  I know its just a simple thing, but somehow i am addicted, and this is actually the meal that I ordered from my hospital bed twice... after having a baby at Beth Israel Hospital near by.  It was the ONLY thing I wanted. They also make a great brunch. The Fresh Ginger "Ponty" Martini is so good; with pressed fresh ginger.... and have a  2 for one special for these after 12 noon every day. I do appreciate their flexibility, and customer service... and they even deliver. I love.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.224857143; Sentiment_Subjectivity (from 0 to 1): 0.584571429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unfortunately, I am writing to complain about the treatment I just received from one of your servers. I ordered a take out "Chelsea" pizza and a Peroni as I waited. After 30 mins. waiting in a practically empty house, I had to ask another server if there was any food ready. This after witnessing the oven cook had left the premesis. This male server then fetched my take out pizza stating it had just come out of the oven. He was obviously lying since upon easy inspection, the Chelsea pizza was room temperature with its cheese having congealed. Granted there was a large party of friends meeting at the bar, so this server obviously prioritized their service and potential tips over mine. I always tip even on take out items. Not this time. I was actually scouting Ovest in order to bring a large family party in later this week. This will not happen now, nor will I ever return or recommend to anyone I know to patronize Ovest. It took all of my powers of consideration -- a character trait this server obviously lacks -- not to upend the pizza and smear it all over a table, especially having been lied to without remorse. At least he gave me a "thank you," and actually gave me my food. I left my cold pizza there having even had a few bites. With each of my 3 bites I became angrier. I paid my bill, and will never pay another in Ovest again. I will do my best not to let anyone else waste their money in Ovest either. ps. I still have my receipt. "Your Server was CLAUDIO"; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.007359307; Sentiment_Subjectivity (from 0 to 1): 0.422294372 [/INST] Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is good but the decor has gotten really tired.  On top of that the almost exclusively Indian wait staff isn't very good.  A bit pushy and rude.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.282; Sentiment_Subjectivity (from 0 to 1): 0.636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Did the waiter go to Italy to get my wine and mozzarella for my pizza?  Just like Adrienne's (the same people run this pizza place), the service is lacking.  The service did get better as the night wore on though. The wine list has some great finds...$1,000 Supertuscans!  (Just find a fella nice enough to pick up the tab.) The pizza is also very good.  The two of us shared a 16" Ortolana, which was topped with cherry tomatoes, zucchini, and eggplant.  Even though the waiter suggested the 16" rather than the 10, we couldn't finish, so leftovers followed us home.  (Definitely not a bad thing.) You can also get your pizza to go, which I would highly recommend if you're in the Battery Park area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.44; Sentiment_Subjectivity (from 0 to 1): 0.607708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent service. Kudos to the bartender. Great beer selection too. Will definitely be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place for breakfast.  Had a chance to try a few dishes and I will say that it is good, but doesn't really Wow me.  I give it a 3.5 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there last night after some drinking around 9:00 PM and maybe 1-2 people were in there.  Ordered the Buffalo Balsamic Maple and my coworker I think got the garlic parmesan.  We split the truffle fries. My first complaint was the slow service.  Our order took 40 minutes and the guy who came in 10 minutes after us got his order first.  The Buffalo balsamic maple has a good consistency but had too much vinegar undertone with the Buffalo Sauce and Balsamic.  The Sauce needed less Buffalo, and more maple to balance the acidity.  The garlic parmesan were very good.  They were  stuffed with a cream sauce and had some kind of sauce on top.  Funny how the best one I can hardly remember.  The truffle fries had good flavor but could have used 1-2 minutes more since they weren't really crispy. The second complaint is price.  The average 3 piece is maybe $10 which is fine but I need more for $10 a pop.  In total two 3 pieces, two waters, and a truffle fry came to $32, not cheap.  Did I mention there is a McDonalds right by there?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.232847985; Sentiment_Subjectivity (from 0 to 1): 0.446437729 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome chicken gyro and Greek salad!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.133333333; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Be prepared to wait at most times of the day and you'll be rewarded with a big bowl of steaming hot udon or ramen with a range of toppings which you can also customize. Some good appetizers including sashimi, salads and pork buns but they're not the star of the show. Carb coma afterwards guaranteed if you get to the bottom of the bowl!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.265; Sentiment_Subjectivity (from 0 to 1): 0.41 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my new favorite food find in NYC this year! You can enjoy premium Italian food at Eataly without making a trip to Italy.  The place is gigantic.  There's a section for pasta, meats, seafood, pizza, gelato, home goods, food products, etc.  The place was buzzing but we managed to score a table at Il Pesce without waiting too long.  I sampled the seafood stew, grilled salmon, grilled prawns and penne marinara.  Everything was super fresh and tasty!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25995671; Sentiment_Subjectivity (from 0 to 1): 0.503030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Surprisingly good coffee (they use buttermilk!) Mushroom gravy and biscuits were ok. Veggie omelette was huge, nothing special. French toast was yummy. Kitschy atmosphere, I'm sure the hype will die down soon.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.353798186; Sentiment_Subjectivity (from 0 to 1): 0.535600907 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I usually feel tears of happiness gather when I am handed a giant over filled paper cone of hot fresh right-out-of-the-oil frites by the amazing friendly patient ladies behind the counter.  The fries are hot fresh and well seasoned. Sometimes I just eat them without any sauces. However, I have made it a personal goal to try every sauce once and I have gone through half the list. I want pommes frites to exist forever. and ever. and ever.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.186309524; Sentiment_Subjectivity (from 0 to 1): 0.561904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hot Sauce on my Mac n' Cheese has changed my whole outlook on life lol. The Chicken biscuit and Honey butter brought a tear of joy to my eye.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.29; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perhaps its bc i'm not a huge pizza fan, but the pizza here was just okay for me. We ordered the Supreme, classic & mushroom/prosciutto. The crust was thin which i liked but I wasn't particularly impressed with the sauce or actual toppings. I was really excited about the mushroom &proscuitto but that was the one that no one touched at my table. The sauce and mushroom combo just did not compliment each other and the proscuitto tasted odd, a bit slimy even. For $25 per pie, i don't think I can come back to give it another shot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.159090909; Sentiment_Subjectivity (from 0 to 1): 0.517424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best macaroni and cheese I've ever eaten --- just be careful the plate they serve it on is extremely hot -- great beer selection & house specialty cocktails  -- I firmly recommend the philanthropist; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing little gem, came here for lunch and got the fettuccini pescatore. The food is not too salty and not too overpowering with flavor. Just the perfect blend of subtle flavor.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.269791667; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was hoping this place would be spectacular, and, although it was good enough, it didn't live up to all the buzz. Service - This is where Char No. 4 shines; absolutely top-notch service. Drinks - Drinks are tasty. Most are whiskey based concoctions, which are generally my favorite. I had the Hound Dog (grapefruit juice, lime, ginger & mint), which was tasty enough, but it was weak and had too much ice. We also tried wine, which was portioned ok. Apps - We had both the Smoked and Fried Pork Nuggets and Chicken Wings. The pork nuggets could have used a bit more flavor. The dipping sauce helped, however, the nuggets themselves needed salt or something. As for the wings, they were right on--a bit smokey and tasty! Entrées - Tony had the brisket. The taste was good, but the portion size was super disappointing. For almost $30, I would have expected at least a quarter or half pound of brisket and not 4 small slices. Super disappointing. I ordered the burger, and, while the meat was tender and tasty, the brioche bun was a bit stale, and it overpowered the burger. Sides - The Crispy Potatoes are delicious! Wow! I want to learn how to make those myself. I believe they were oven crisped. The Brussels Sprouts were good as well. Ambiance - Char No. 4 is trendy and modern looking inside and definitely inviting. The noise level was surprisingly quiet, which was a bonus. Would I go back to Char No. 4? Maybe for drinks and apps (they have Whiskey tastings on Wednesday nights). However, I doubt I would return for dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.183390828; Sentiment_Subjectivity (from 0 to 1): 0.582626488 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place for cheap food! They get very crowded so expect a wait for your food, but being able to get good food for under $4 and having a place to sit and eat without tips is pretty amazing. Their dumplings are always satisfying and their hot&sour soup is especially unique. The soup is packed with different type of vegetables and soft tofu (surprising since often times, restaurants always use firmer tofu), and their soup flavor is usually more sweet and less pepper which is perfect for my taste buds. Overall, great place to get something cheap in Chinatown and if you are able to avoid the rush hours, then it will be quick and cheap.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.628030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My wife and I made a reservation last night, showed up on time, but still had to wait 1 hour to be seated. No offer for a free drink or anything, even after asking about when we would be seated, 40 minutes after we got there. I don't even know if they noticed or cared.  Didn't do restaurant weeks since the menu was too limited.  Won't be going back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.082142857; Sentiment_Subjectivity (from 0 to 1): 0.252380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Chicken and waffles is all that I have to say!  This trendy diner is open 24 hours and is always good for a meal.  Nothing is better than a rasberry mojito and the bacon mac and cheese after clubbing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.21; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Indecently good pizza from a hole in the wall that boasts a chalkboard menu and a not-so-seductive leg lamp as decor.  Not that they need anything to draw you in but those curiosity-spiking lines.  I'd passed by Artichoke several times as I live right down the street and finally decided the people waiting at all hours must know something worth knowing.  I am happy to count myself among the informed. With hungry customers snapping up slices as soon as they're baked, you know that pie comes from oven to tummy hot and fresh.  The spinach artichoke is devastating - cheesy and rich with a gorgeous crust and head-filling flavor.  The crab is a winner, too, a thinner slice with a zesty bisque topping.  It may be inferior to the artichoke but I would flip for it at most other pizza joints.  I now feel pity for all the late-night pizza-eaters I see in different spots in the East Village.  Sometimes the crowd knows best - Artichoke cannot be missed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.182448546; Sentiment_Subjectivity (from 0 to 1): 0.578926483 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walked by here probably hundreds of times and never noticed it. A friend suggested this place for lunch and I'm a fan of Vietnamese food in general so I figured why not. The only reason I was apprehensive is because I get most of my Vietnamese sandwiches in chinatown, so no way that they could be that cheap. Well they weren't, but they were unique. I've been to Vietnam and after having those ham and pate sandwiches nonstop I got kinda sick of them. It's STILL hard for me to get hungry for a bowl of Pho. But as I said, this place is unique. A twist on a classic sandwich. You can get brisket, catfish, pork belly and other meats. I had the brisket and it was very tasty. It's corny but even the cream soda was top notch! So next time you walk by this seeming hole-in-the-wall just jump in line because the upstairs place is nice, the sandwich is tasty and you're going to spend ten bucks for a sandwich and drink (which aint bad for this neighborhood).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.091294643; Sentiment_Subjectivity (from 0 to 1): 0.569196429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute little Japanese snack shop. They don't open till 1230pm for lunch but they made an exception when I got there early craving some takoyaki. For $6 I was able to get a 3 Shrimp Takoyaki and 3 Sausage Takoyaki. Both were quite tasty and I liked all the condiments and toppings. Lots of flavor and it definitely filled me up for lunch. Great for a snack in the area and love the cute logo!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.348863636; Sentiment_Subjectivity (from 0 to 1): 0.634090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love a happy hour deal! Buy one, get one free drink deals always get me going! That was really what motivated me to go to Riverwalk: all of the thumbs up on the happy hour. Initially we were thinking we were going to do appetizers and drinks, but instead decided to go for burgers. I ordered the salmon burger, expecting a burger that "did the job" but I was overwhelmed with how good the burger was. Not to mention, the sweet potato fries with all of the dipping sauces was incredible! I was really happy that our waitress let me go nuts with the various dipping choices. The honey mustard was the BEST! Overall, the service was great, the food was good, AND they had some kind of deal going, so I left a happy camper.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.541666667; 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: Long waits for delivery/food preparation, be ready to wait for at least 30 mins. However, the food is authentic and delicious. It is well worth the wait and money.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great meal and fun ambience! -1 star because of a not so nice bus boy. Dropped a fork on me then told me I was lying!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.704166667; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't come here for the Porterhouse Brewing Company Irish beers and a variety of whiskys and whiskeys. Have a good old Porter in honor of our General Washington in the oldest tavern on Manhattan. Check out the museum upstairs during the day.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2125; 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: OMG this is the best place! Everything italian i grew up eating is here! Everything is fresh and delicious. The mozarella its absolutely amazing. The breads are yumm, not to mention the huge range of chocolates! I could spend the whole day here! This place is a must in NYC; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.521428571; Sentiment_Subjectivity (from 0 to 1): 0.571428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nice small place to catch up with friends and/or just have brunch. We came here for a fairly quick dinner and it was really great tasting. The table layout was a bit cramped but I forgot about it after my initial thought about it. I had the sandwich with the smoked salmon and it was good. Prices weren't bad either.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211904762; Sentiment_Subjectivity (from 0 to 1): 0.55952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hours after eating the lasagna pizza here we were still saying "wow that was really good pizza" It's a small hole in the wall, grab and go place.  3-4 barstools along the wall to sit if you have to.  Not a dollar slice place, but still very reasonable for a good quality slice with lots of toppings.  Excellent crust, excellent size of pizza slice. Try the lasagna pizza.  Will upload photo. Thinking about it makes me want to go back and get another. . . .; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.43875; Sentiment_Subjectivity (from 0 to 1): 0.6725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the layout and decor. Comfy booths and a great intimate back room for groups. My friends and I got a few things to share off the late night menu.. Food was eh- really nothing I'd come back for. And our server seemed a little bit distracted: she the wrong food at our table, then 10 minutes later asked to take it to the right table.... not exactly professional...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.057554945; Sentiment_Subjectivity (from 0 to 1): 0.375824176 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really really good authentic Italian pizza & pasta. Spaghetti alla Chitarra was especially awesome. Very very inexpensive to eat. Ridiculously expensive for groceries; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326666667; Sentiment_Subjectivity (from 0 to 1): 0.573333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to Noodle Town about 1/2 dozen times. In addition to roasted pork or spare ribs, each time we order some roasted duck.  The most recent time we ordered the full roasted duck which was much fattier than normal. Waiter suggested we order 1/4 of a roast duck which is cut from a leaner section. Nice tip. We'll try that next time.   In addition to the roasted meats, the vegetable sides are great. I recommend snow pea tips in garlic and baby bok choy also in garlic. It's a popular, small cramped restaurant on Bowery and Bayard and can get very crowded.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.286363636; 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: Great drinks and ambiance. Getting a little too crowded for my taste these days (they need to cap capacity much sooner at night...) but if you can manage to get in early and snag a table, you're golden. Bartenders are all great. Slushies are always way too strong-whether that's good or bad-your call. After trying just about everything on the menu...I tend to stick with the fried chickpeas or the burger. Mother's ruin is no longer a "hidden gem" but it's still a great go-to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.371759259; Sentiment_Subjectivity (from 0 to 1): 0.52037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bedouin Tent is a neighborhood gem!  I'm definitely a fan of Middle Eastern food, and this place does not disappoint.  I went with a dining buddy, and I ordered the falafel platter as my entree.  He ordered the lamb platter.  We shared a spinach & cheese pie appetizer, and some semolina cake for dessert. The food was really delicious.  Everything was seasoned perfectly, the pita bread was fresh and hot, the service was quick & friendly.  I highly recommend trying the spinach & cheese pie appetizer; it'll remind you of a calzone when they bring it to the table.  My only gripe was that the semolina cake seemed a little dry, but I'd be willing to try it again. While it is cash only, I feel the prices are pretty cheap and that you get more than your money's worth.  I look forward to my next visit!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.255708333; Sentiment_Subjectivity (from 0 to 1): 0.5895 [/INST] Not Spam</s>