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syannn

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Whhhaaat? I had brunch for 10 dollars today at Cafe Habana. Huevos rancheros smothered in red salsa,  honestly the most FLAVORFUL BLACK BEANS of any nyc latin joint thus far. The wait was tremendous but absolutely obligatory. Whatevezzz,  you can bond over your Cafe Habana wait with the rest of the solita, nolita, chihita--- whatever they're calling mah neighborhood these days. However, the service is just uggggh. No water, no check, missing orders, and a HUGE smile at the end with a big, 'THANK YOU VERY MUCH!!" Beggin' for tipz. Le sigh, and thus only four stars. Oh, everyone ordered the corn, if you don't then you're a big silly or a poor slob that's allergic to corn.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.098307292; Sentiment_Subjectivity (from 0 to 1): 0.544895833 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 long wait, the Mona Lisa, the PIZZA. All essentials in tastes, smells, and sights for perfect evening to catch up with friends. I ordered the margarita because I'm always dining with vegetarians... ughhh. Longingly,  I watched a pizza delivered next to us that was topped with pepperoni--- the thick, spicy circles were flipped up like crispy little bowls. I wanted to kill my veggie friendz. Not that our margarita wasn't delishalish! It was just to my liking. Thin, gooey, with tart and sweet tomato sauce. The basil had a shockingly fresh pop--- a sexy little dress for the gooey, slutty mozzerella. I also saw European tourists getting served salad. Woe is them, that salad had big hunks of rinsed tomatoes, iceberg lettuce, and onions. Not tasty. So be aware, say no to expensive starters here--- they are no good, just get the pizzzzza! If you're not full then get another pizza.... with pepperoni.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.007226562; Sentiment_Subjectivity (from 0 to 1): 0.5046875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only thing I get here is the oyster special that includes a glass of wine. It all comes to 8 dollars and their house wine is wonderful. The bartender is your usual, stoic, slightly greasey dude. The service overall is surprising wonderful! They were totally chill with me splitting the oyster special with my friend. A great exprience, I'll be back when I'm hankering for oysters late at night.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.269047619; Sentiment_Subjectivity (from 0 to 1): 0.550732601 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Discovering this place was a very happy event. Red pepper falafel is a very happy meal. They really stuff it with fresh, prime ingredients that blast any other falafel place out of the water. The texture of each ball is PERFECTION. Crunchy on the outside, chewy on the inside--- they must have their frier set on the perfect temperature. It's a little pricier than I'm used to for falafel but it's still hella cheap. I love the smoothies as well, I usually split on with a friend because I'm frugal like that and they've even been satisfying that way. The location is such an Alice-In-Wonderland like nook that it truly makes the restaurant a "diamond in the rough". This is definitely my go to spot to treat my vegetarian friends... and myself.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.26484375; Sentiment_Subjectivity (from 0 to 1): 0.5359375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's hard to get in here right now. Just be brave and put on a front face when confronted by the reservation po-po at the front door. Here's a sure fire way to make sure you get in--- once you're in, the rest is delicious history: "Do you have a reservation?" The doorman asks, (Cocky, I know... NB: You're just a doorman! Doorman!) "No, I do not have a reservation." (Truth time. My heart makes a sad face.) "Well, our restaurant is pretty crowded right now and there is no space at the bar." (Bitch, I ain't sccccurred.) "When do you think you'll have an opening at the bar?" (Making him feel vulnerable with a question he's not suppose to give a direct answer to.) "Let me check... there are some people finishing up but then again they could linger for a while..." (Good boy, now watch this...) "GREAT! We'd love to come in and have a drink while we wait." (Ladies and gentlemen, it is against all logic they should not want your money ala overpriced drankz.) "...uhhhhh, sure. Welcome." Once my friend and I infiltrated, stools were easy to snatch up. Just make sure you make eye contact with the bartender and request he reserve the next available seats. Slip him your credit card to open a tab IMMEDIATELY (added pressure for the 'tender to put you first), set your drinks down. They have delicious Old Speckled Hen on tap and it was served in beautiful, long glasses. Frothy as always and deliriously creamy. Of course, we ordered the Lobster Salad and the NY Strip Steak with the Potatoes Anna--- all so delicious. The Lobster was some of the freshest and juiciest lobster I've ever tasted. Shockingly tender--- coupled with very satisfying toothsomeness. The saltiness in the meat was just stunning, evocative of licking your lips after a day spent swimming in the Pacific. My friend's steak was so beautiful, I wanted to cradle it. Unfortunately, he wasn't so hungry--- which he apologized profusely for (so polite)--- more to the steak than to me for not being able to cherish it fully by gnawing on the bone. I was pretty freakin' full too but kept nibbling at the crispy, caramelized perfection that is the potatoes anna. Buttery and smooth on the inside, crispy and with bubbled edges on the outside. This is where potatoes want to go when they die. A very good and satisfying meal for a very reasonable price--- a rapturous strange joy will fill your chest as you leave, this is a fuqqin' good meal. Good luck.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.33677166; Sentiment_Subjectivity (from 0 to 1): 0.671025132 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chef of this place used to work at The Mermaid Inn for many years. He is really into salty. I kind of felt sick after I finished my summer corn (risotto) dish with shaved truffles. I've eaten truffles before... those black truffles that were gorgeously shaved on top had a surprising (meh) dry texture. The best though was the arugula salad, I could eat two plates worth. Anything sweet and sour that involves fruit. Maybe my palate has been blasted by all the Zabb City (thai) I've been having lately. Actually, the best part of the experience was the service. Attentive but not fussy and extremely knowledgeable. I don't know if I'd go back there again though, it was a little out of my price range.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211994048; Sentiment_Subjectivity (from 0 to 1): 0.51202381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cozy and relaxing. I like to come here during the day for lunch. They're really chill with you working on your computer before 4:30pm which is when they start setting up for dinner service. My favorite lunch sandwich of  theirs is the buffalo mozzarella. The pesto dressing is citrusy, earthy, and creamy. They layer each silky slice of the buffalo mozz with thin strips of fresh crunchy kale. And although the bread they use to make their sandwiches change sometimes, I find the delicious factor to be consistent. I usually substitute my chips for a salad because I love the way they dress their kale. If you get a coffee and the owner is there, he'll pour you some steamed milk on top. This is such a treat! I love a light layer of dairy to keep my exceptionally brewed coffee warm. They brew their coffee by the cup using those Japanese ceramic spiral thingers--- you know what I mean? Oh also, their caramel donut is delicious. A soft, warm caramel that's not too sweet is generously drizzled over a cake donut, mmmm. Free wifi for the win!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.334963768; Sentiment_Subjectivity (from 0 to 1): 0.599456522 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 are in a Vietnamese sandwich shop that does not have a jewelry counter inside then you MIGHT BE AT THE WRONG PLACE. I can honestly say I have had every sandwich here. My mind was blown by each one. Except for maybe the vegan sandwich--- but I'm just meat-centric, my vegan friend throughly enjoyed it. The best thing to start off with is #1. It is 3.75, it is massive. Honestly, like Wendy C. says, you can have one half for lunch and another half for dinner. They ask you if you want it spicy or not. Get is spicy or else you're missing out!!! How do I describe how it tastes? The French bread is warm, crusty, and chewy. The pickled silvers radish is sweet and sour, really tangy and refreshing. The pork is sweet and savory--- LIKE FUCKING GOD.  There's some cilantro in there carrying all those flavors to tickle taste buds you did not know you had. Definitely one of the things to eat before you die.  Don't fuck around with a salad or whatever, you're here for the sandwich. And maybe a jade ring.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.122423246; Sentiment_Subjectivity (from 0 to 1): 0.535964912 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 some pretty serious fat people food. Bacon? Processed cheese? A huge softball sized beef ball? If you salivate at these foodstuffs, you must order the heart-stopping Bistro Burger with a side of fries fried in bacon grease. Wash it all down with a cheap ass (2 dollah holla!) McSorzzzleyzz, the carbonation will clean your poor arteries. NOT. HAHAHAHAAHhahahAHAHaha. It usually gets crazy-ass-muthalovin' packed in this hole. Just fucking come when there are a shit ton of people, it's the ultimate West Village neighborhood exprience, Brits included!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.038383838; Sentiment_Subjectivity (from 0 to 1): 0.700505051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quick and dirty in the best way. I really crave only one dish they make--- and that's #47--- I think. Whenever I walk in there I just point to the picture. Their homemade chili oil-peanut hot sauce is aromatic and has a crunchy yummy factor. I would hate to be allergic to nuts. So this dish I'm talking about also has peanuts with thin slices of beef, you get your choice of thin or flat noodles--- I choose flat because it holds the sauce better. You mix it all together with a squirt of lemon and a shit ton of their homemade hot sauce and that is all you need to sustain you for the rest of your day. All for 6.50. Go. But don't go everyday---; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.007777778; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their bad service is greater than the goodness of their brunch. The server I had was so rude, I was scared of him. Never coming back. Douces.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.125; Sentiment_Subjectivity (from 0 to 1): 0.441666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unlimited free booze with brunch. YOU HEARD ME?! Not just any free booze, lots of different types of free booze. An entire nexus of sangrias buffet style. You go to the sangria bar and pour to your heart's content. Parents, red in the face, laugh at their screaming babies, couples make out in the near the bathrooms, people shimmy and sashay to the loud Latin music as they make their way to more sangria. Calle Ocho keeps their lights turned on all the way up because if they lowered them it would start an orgy. They don't  take reservations, thus, the front room was spilling over with people lounging with their sangria. I had the mango and the mojito--- both tolerably sweet, well mixed, and refreshing--- the fruit tasted very fresh. That stuff was no joke though, my friend always put vodka in her sangria and I think Calle Ocho does the same--- lots of vodka, you don't even taste it, it's wrong. My very polite friend had the Vaca Frita al Caballo which is Cuban skirt steak, Latin fried rice, tomato escabeche, and avocado. He got it without the avocado--- wouldn't you know it, they got his order perfectly and announced it at the table with a sense of pride. The steak was tender and the fried rice had great bite and flavor.   The service is mixed. I got carded! I gave her an incredulous look, boarderline dramatic prairie dog style. I was about to whip out my ID out but our server lost her nerve and just gave some line about not wanting to get arrested... dude. Next, a back-waiter standing right in front of steak knives could not get one for us--- poor newbie, surfing around in a sea of people who can get extra drunk because they don't drive will make you delirious. Oh, and the server didn't ask my friend how he wanted his steak--- it just turned up well done which was fine because it was delicious/we were too tipsy to notice (but now I remember, yeah, my memory is awesome like that). I got the pollo rancheros--- not the best I've ever had (cookshop heuvos rancheros are my god)--- but tasty. I was expecting just a little more flavor, it was very nice though. They brought lots of hot sauces for me in little dishes that made for a neat and appetizing presentation. The more I think about this place as a whole rather than some tedious service points--- the more I love it. Next time I come here it'll be for a victory brunch (i.e. I did work all night, I cured cancer, I ran seven miles) and I'll get fucked up enough so that management will just think about closing the sangria bar but don't actually do it. Why would anybody come here for any other meal?!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.182395503; Sentiment_Subjectivity (from 0 to 1): 0.545793651 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Greek soup buttery, milky chicken broth with lemon Oh my God.....BEST SOUP&UNIQUE I'VE EVER HAD IN MY LIFE@@ chicken sandwhich is great too. But expensive..especially the greek salad was dame small. But thinking about their rent in Soho ..maybe I have to understand.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.108333333; Sentiment_Subjectivity (from 0 to 1): 0.508333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: nothing special. I tried spice mushroom sandwich and mozzarella sandwich,spilt soup,side salad.. subway sandwiches are even better for me. ha ha... My favorite sandwich is OLIVE'S take out place in prince st..That's the best!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.589285714; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: nothing special on the food. too many people ...I don't get why this place is so popular...Even though I live in neighborhood,I don't come here anymore. I just get corn sometimes. The food on116 east mexican halem food is much way better!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.303084416; Sentiment_Subjectivity (from 0 to 1): 0.378571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just came back from Korea a week ago for visit my family. As I live in New York, what I miss the most about Korea is food because the Korean restaurants in NY are pretty bad comparing to the ones in Korea. But I finally!!!!!! found the great Korean Restaurant today.!!! I'm so happy!! Kim chi Bizzy soup was so great!! I didn't feel any chemical seasoning inside which is almost impossible in other restaurants. It tastes like my mom or my home made food!! The quiet& nice vibe and great service also amazing which is difficult to find in other Korean restaurants.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.213097117; Sentiment_Subjectivity (from 0 to 1): 0.686363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: such a great italian food  with cheap price~!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35625; Sentiment_Subjectivity (from 0 to 1): 0.4875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow. I would leave my review at that if people didn't think I was being sarcastic or facetious. I rocked out with the Chicken 1.7 which was by far one of the best sandwiches I have had in 2008. All of the ingredients worked so harmoniously that I nearly sang along with it. If you are down in SoHo and want something awesome and made with care...check this place out. Wow.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.19382716; Sentiment_Subjectivity (from 0 to 1): 0.748765432 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just moved back to Manhattan and some friends came over to check out our new place. We debated briefly on where to eat when my friend's wife suggested Cafeteria. Aren't you glad you read that worthless information. Let's get to the nitty gritty. I was not hungry (more useless info) but everyone else was. We were sat immediately and a waiter promptly arrived to take drink orders. We browsed the menu and made some delicious choices; meatloaf, sliders and two burgers. The food was great. The atmosphere was decent. The crowd seemed a bit hoity toity (I bet I can use one more rhyming phrase) but I really only cared about the people in my immediate group. I look forward to more meals at Cafeteria, especially extremely late night meals, fur sure (there it was). Cafeteria gets my blessing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.187689394; Sentiment_Subjectivity (from 0 to 1): 0.627714646 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quality and proportions. Atmosphere that begs and succeeds at making you comfortable. Take a date or friend here and just enjoy yourselves.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; 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: Great first impression. I ordered a panini to go and it made for a perfect lunch. The place is affordable and high quality. The experience of jamming into the place is great too. They are authentic enough to accept euros! Haha! Try this place out, be forewarned it will be very cramped and most likely crowded.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.405454545; Sentiment_Subjectivity (from 0 to 1): 0.611212121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 - great place for lunch. Food is sooo delicious and well worth the little wait for a seat in a cramped space.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5025; 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: Great food. Lousy service. We used to order the "Old fashioned" pizza. Great value, until they decided to trim down the dough. What used to feed a family of four, now feeds a family of 2.5. Don't expect great phone etiquette either. This place feeds on tourist so they don't even bother pleasing the locals.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.307407407; Sentiment_Subjectivity (from 0 to 1): 0.539814815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yummers! I accidentally passed by it because it is such a tiny little place with only four two-persons tables.  Surprisingly, the food is incredibly tasty and rich in flavor (but not over powering).  I had the special ground beef stuffed egg plant and my friend had a fish dish.  Holy cow, we were both so happy with our own dishes and tasted each other's dishes too.  If I lived in NY I'd probably make this one of my frequent stops. :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.277593537; Sentiment_Subjectivity (from 0 to 1): 0.647363946 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious!  I got the lamb sandwich with no onions.  The bread was slightly toasted, but not at all hard.  The lamb itself was juicy and a bit too chewy for my taste, but still very good.  The sauce was tomato-y and somewhat spicy.  The entire thing was $9.75, and it was large enough to fill me up.   As others have said, the place is very small, so there's a good chance that you won't have a chance to eat in (especially around lunchtime).  I recommend taking it to go, and then eating at some of the tables that are just down the block (assuming its not too cold).   If you're planning on spending less than $20, bring cash.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.086056166; Sentiment_Subjectivity (from 0 to 1): 0.578266178 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Why is the regular size HUGE and the large size a bucket?  Why can't you buy a portion that a regular person can actually finish? The lady behind the counter was very nice and let me try a couple sauces before ordering, but there are just way too many to actually make any sort of educated decision.   The fries were thick and very greasy.  I prefer them a bit more crispy then they came out to be, so I wasn't super impressed.   I'm pretty sure, right now, all the oil from the fries is slowly (or quickly) killing me.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25537037; Sentiment_Subjectivity (from 0 to 1): 0.541593746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I finally found a solid brunch place in New York.  Instead of attracting customers by providing three watered down alcoholic drinks at 11am, this place does brunch right. I had the Clinton Omelet, which comes with three eggs and allows you to choose two ingredients.  I chose bacon and cheese, which ended up being a good choice.  It also came with hash browns and toast (which I substituted for a  biscuit).  Everything was delicious, and the biscuit was simply HUGE.   I also tried my friend's cheese grits, which were surprisingly good, especially since I normally don't like grits, and her candied bacon, which was probably the best thing on the menu.  We also all shared a plate of sweet potato fries, which were OK, but I could have lived without.   They also come with an assortment of warm (ciders and hot chocolates) and cold (milk shakes) drinks, but with and without alcohol (for those of you who need that noon fix).   The service was friendly, and impressive for New York, but would have been considered just OK in other parts of the U.S.  This would have been a solid 4 stars, but since they seated our 5 person group  without a wait, really earned them that extra star.   If only the accepted credit cards....; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.264921704; Sentiment_Subjectivity (from 0 to 1): 0.583655336 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard of this place for a while and finally got a chance to come here on my last day in New York.  Like many of the places in the East Village, Supper doesn't take reservations.  So we walked out in the blistering cold hoping that they would have tables available.  Of course, they didn't.  However, we were told we could go to the wine-bar (owned by Supper) next door to wait for a table.  In the bar we found a small table that fit the three of us, and took a seat.  Within 5 minutes the hostess came up to us and asked us if we wouldn't mind simply eating there.  We looked around and noticed that the bar had several larger tables where people were having their full meal, and since we were famished, we readily agreed. What confuses me is why we had to go through all of that.  If they had a table open at this second bar-like occasion that served the same meal, why not simply seat us there in the first place?  Places like this confuse me. Anyway, the food was very good.  I got the gnocchi in sauce that reminded me a bit of vodka sauce, but wasn't.  It was quality.  My roommates got ravioli (which was very good) and some other noodles with sausage and chicken, which I liked the best of the three.  Overall, the food was very good, but for some reason I had this nagging feeling that it could have been better.  That's why I think this place deserves 4.5 stars, but for some reason I just can't get myself to bump them to 5.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.19612013; Sentiment_Subjectivity (from 0 to 1): 0.453886827 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came here for brunch and man was this a disappointment. The food ranged from bland to inedible. I got the breakfast burrito, which I was very excited to see on the menu, and then proceeded to eat easily the worst breakfast burrito of my life. Nothing fresh, too much egg, weird meat, just a disappointment all around. Probably didn't help any that all of my friends were equally disappointed with their meals. Grumblings of "we're never coming back here" could be heard throughout the meal.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.199621212; Sentiment_Subjectivity (from 0 to 1): 0.626515152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch because people said it had one of the best hamburgers in NY.  Well... they were wrong.  The places itself was very nice and the service was great.  It was quick and polite and clean and etc...  The complimentary bread was warm but a bit too hard for my taste.  Then again, I usually don't expect to get complimentary bread when going for a burger. Now, the hamburger was simply not good.  The bread it was on was OK, fairly fluffy, but a bit too large.  The patty was HUGE, and completely tasteless.  When you have that much meat and it has no taste, that's not bad.  Their two slices of lettuce and tomatoes didn't help much either.  After a bite or two I added ketchup and mustard, and while that helped a little, I still had way too much tasteless meat in each bite.   I could definitely be persuaded to come here again, but I'm never getting that burger!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.146309524; Sentiment_Subjectivity (from 0 to 1): 0.575517598 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quality, greasy, fast, and very cheap place.  Almost nowhere to sit, the place seems constantly crowded, and the food get ready in less than a minute.  Probably shouldn't eat here too often, but every now and then is ok. I got the Shwarma sandwich for $4.50.  The meat had some fatty parts, but otherwise was pretty good.  The whole thing was pretty messy, so you probably couldn't eat it on the go (I tried and failed).  I'd recommend either taking it to go, or using one of their two tables, or outdoor bench. Don't forget to bring cash.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.134871795; Sentiment_Subjectivity (from 0 to 1): 0.539230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Here's the problem, as I see it.  Their small plates are far too expensive for this location, but they're the only thing that's really worth it here.  I got the Latin burger and it was huge, plain, and boring.  I think if the tapas were less expensive, I would have shared a combination of a couple with my friends, and would have had a much better meal.   I would have given this place more stars if I wrote it right after the meal, but last night I had a huge stomachache due to the sangria.  It was truly horrible.  Made of clearly bad and old wine, it was far too sweet and probably past its expiration.  Drink at your own risk.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.046532091; Sentiment_Subjectivity (from 0 to 1): 0.602950311 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch and really enjoyed this place.  It's small and not really part of the main hustle and bustle of SoHo, which is always a plus.   It was crowded for lunch, but I did manage to get a seat at a small round table near the window.  The service was fast and people were very friendly.  I got the beef plate, which came with beef, rice and a salad, all for $9.50 (including tax).  That's not a bad price at all.  The beef had an interesting green sauce (no, not Paris sauce) on it that I really liked, but the meat itself was a bit too hard and chewy.  But overall, a good solid lunch spot.   Make sure to bring cash, it's cash only!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.148026316; Sentiment_Subjectivity (from 0 to 1): 0.498976608 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious and cheap dumplings.  For 2 dollars I had a good amount, for another $2, I would have rolled out of there stuffed.  They have soups and stuff too, but that's not what I'm here for.  Dumplings, dumplings, and more dumplings!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.68125; 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: I was pretty unimpressed by this place.  First, it took them FOREVER to make my panini.  Second, the panini was way more expensive than what I want to pay on the street.  Third, it simply was not that good.  In some places there was way too much cheese, and it was all very greasy... Oh, I also got lemon muffin.  It was good, and for $1.50 a pretty good bargain (I can't believe I'm getting used to these NY prices).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.476190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been wanting to get pizza from here for a while, and I finally got delivery last week. I got their regular pizza with Italian sausage.  The sausage was good, the crust was good, the edges of the crust were a bit rougher than I would have wanted, but still good.  The toppings were good.  The price was a bit much, but the ingredients were clearly of a higher quality.  I didn't finish the pizza that day (thank God) and I had some the next day.  The next day was a completely different situation.  This pizza does not microwave well.  It is not good the next day.   I think everything else has already been said about it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.193333333; Sentiment_Subjectivity (from 0 to 1): 0.362905983 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really cool place! I came here on a Friday around 7:30 (which sucks because Happy Hour is 4-7).  It was a good full, but not so packed that we couldn't find a table.  The waitress came pretty quickly and we learned about the $5 beers on tap.  And it wasn't just bud and bud-lite, they had a very good selection.  We each ordered a beer, a burger, and we shared one basket of fries ($3).   Everything came out pretty quickly.  The burger was solid.  A good bun, fresh fruit, melted cheese.  The patty was juicy, but could have been better.  I got it done medium, but probably should have gone with medium rare.  I took the first few bites without condiments, and then added ketchup and mustard.  It was not amazing, but it was a very solid burger. The five stars are because I could definitely see this as a regular place.  A good bar that doesn't seem empty but is not so full that you can't sit down or move.  The music was good, but not so loud that you couldn't talk.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.266985597; Sentiment_Subjectivity (from 0 to 1): 0.550338715 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I finally found a burger that can at least be compared to Father's Office.   I got the bronte burger to-go, so I can't say much about the restaurant or the service, but I can say that even though it had been 20 minutes before I got home and sank my teeth into this wonderful creation, it was still the best thing I have tasted in New York.  I can't wait to try it fresh!   Yes, it is a bit pricey, but not the most expensive burger I've had and definitely worth the price!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.278636364; Sentiment_Subjectivity (from 0 to 1): 0.515454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: People have said these are the best panini and cupcakes in Astoria, so I decided to try both.  The panini was overly greasy and had way too much sauce on it.  The cupcake was bland, flavorless, had too much frosting, and really not worth the $3.00.   Yet another place in Queens to avoid.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.216666667; Sentiment_Subjectivity (from 0 to 1): 0.326666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dinner last night.  They have a cool outside seating area where you can people watch, and there are plenty of people to watch around here.  The waitress was very nice, but the service was not very noteworthy.  Not great, but not bad either (which I guess is a good thing).  I ordered the burger (because I'm still on my burger kick) and I think that was a mistake.  Even though the server said their burger was delicious, it wasn't.  Like a lot of places, it was heavy on the meat and light on the flavor.  However, the bun it was on was delicious!  I think it was ciabatta, but it wasn't super hard or super soft, it was just right! It also came with a small salad, which was the usual greens with some light dressing, and some fries, which were stringy and crispy and fairly good.   I heard this place is really good for brunch, so I might come back here for that, otherwise I'll probably keep moving.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.261397516; Sentiment_Subjectivity (from 0 to 1): 0.547567288 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 late-night food and a drink, since it's the only place in the area open until 2:00am and my flight got in around 11:00pm.  Glad that I did.  Hung out at the bar and chatted up with the bartender, who is very cool and easy going.   Tried the burger, which was solid but not "one of the best burgers in NY" as he claimed.  It was medium rare, like I asked, the patty was very juicy and practically fell apart in your hand.  The bun was large and supported everything, but way too buttery.  The fries were good too, but nothing to highlight. Overall, great vibe and good food for a reasonable price.  Plus, it's open late!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.30162465; Sentiment_Subjectivity (from 0 to 1): 0.579817927 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has a pretty friendly atmosphere and good lunch specials.  The food was good, but nothing remarkable.  Pasta's pretty easy to get right and really hard to make great, and here you got a pretty good dish for a pretty reasonable price.  The brought out complimentary bread, which was delicious, but would have been even better if warmed up.  They also brought out a pitcher of water right away, and we served ourselves (which I prefer because I drink a lot of water).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.42989418; Sentiment_Subjectivity (from 0 to 1): 0.713690476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 because I heard the fries were supposed to be some of the best in the city... they were good, but nothing special.  The place itself is really nice though.  The service was very friendly and fast.  I got the burger and fries.  The burger was very juicy and the bun different then any bun I have ever had.  Though a bit pricey, definitely worth giving it a try.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.42718254; Sentiment_Subjectivity (from 0 to 1): 0.524603175 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 solid place.  I shared a pizza with a pesto base and their lemon/pine nuts risotto.  Everything was delicious and more than enough for two people.  The bill came out to about $30 (with tax and tip), so that wasn't too bad either.   They also have a bakery on the side, and while I did not try anything, it looked very good. They don't split checks, so either bring cash or a sugar daddy/mama; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.13; Sentiment_Subjectivity (from 0 to 1): 0.64952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How does a hidden sandwich shop get five stars? Start with very fast service (under a minute to place and get order) Make the sandwich absolutely delicious Have enough variety to want us to keep coming back Make the sandwich so large that it could easily feed two people Make that HUGE sandwich only $3.50 Yup, that seems to add up to 5 stars for me!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.237883598; Sentiment_Subjectivity (from 0 to 1): 0.641693122 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was one of the best burgers I have had in New York.  The patty was HUGE, which I usually don't like, but for some reason it was so juicy and well made that it didn't feel overwhelming.  Nothing special to be said about the bun or the cheese (which was not very well melted on), but the bacon was really delicious.  This is one of the few (if not the only) burgers where I'd actually recommend getting the bacon.  The fries it came with weren't worth it.  Also, for some reason my burger completely fell apart.  I mean, half the patty broke off and the buns didn't do much keeping the rest of it together.  So the fact that I enjoyed my burger while it was falling apart around me means it was really good. The place itself is fairly small and really crowded.  The servers were not friendly at all, ignoring us while we waited to be seated, barely giving us a nod while seating us, and then doing as little interaction as possible when serving us.  We also heard them complaining about the "water drinkers" and how they should be ignored.  It's the usual curse of the delicious bar/food place.  They know people are coming for the food and not the service, so they treat you horribly.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.13108666; Sentiment_Subjectivity (from 0 to 1): 0.510375581 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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't believe I never got around to reviewing this place.  This was my go-to place for anytime I wanted a quality sandwich.  Its a small, unassuming, deli that looks like the thousands of others in this city.  Except, this one is legit.  Meaning, this one has a large variety of delicious sandwiches.  I've been here half a dozen times, and never left disappointed.  Well... maybe once, but I think that's because it was my third day in a row of sandwich and I was getting a little bored.  The point is, this place is great.  And the price is awesome.  For $6-$7, you get a HUGE sandwich with the works.   Also, peter d.'s review is hilarious!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.168086081; Sentiment_Subjectivity (from 0 to 1): 0.607326007 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack completely lived up to the yelp reviews.  Adorable tiny place with just a few tables, and a moderate sized menu and lots of nice light things to choose from. The tzanziki was creamy and garlicky, the eggplant dip so fresh, GREAT strong greek olives, a small greek salad (god i hate giant salads, who eats that much salad?) some spanikopita, and it was all good.  I was bummed that they were out of the hummus and the keftedes but thats one way to know that everything is really freshly prepared.   Make sure you end with greek coffee-- a rare treat.   One drawback-- dont go with 3 people unless you're prepared to squish.  Cuz its so small they cant give you two tables for 3 people, so you basically are smooshing 3 people into a table for 2.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165151515; Sentiment_Subjectivity (from 0 to 1): 0.553282828 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nook is one of those wonderful New York condundrums of a place that doesn't fit easy classification. When should you go to Nook?  You want really good food, not too expensive, casual environment is a-ok. We had great food, thanks to all the yelpers for the tip on the mushroom straws and the tuna tartare.  In fact, the tuna tartare was good enough to order two!  The chicken was really tasty, the rosemary fries were fantastic, and the seared tuna was quite good.  The steak was good too. The atmosphere was really bare.  Its a small place, with tables you might find in a sandwich shop, but if you get there early enough to grab the front table, or if you're just 2 people, you'll be comfy enough.  Very laid back service, if you're jumpy and demanding, its probably not for you.   Nook is hard to spot, looks slightly unwelcoming, but ends up being a really nice surprise and a nice restaurant to add to your hells kitchen roledex.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.207828283; Sentiment_Subjectivity (from 0 to 1): 0.554180696 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the hell is going on here?  I've been waiting to try this place since before they opened and never got around to it.  My expectations I admit were through the roof.  And that's never good.  I also went on Christmas day, which is probably not a fair day to judge.  And as much as I want to be charitable on Christmas, I can't believe how disappointing ABC Kitchen was. The french toast was a deep fried brick.  It tasted and smelled like pure oil.  I couldn't even eat it.  The fried over medium egg was fried hard, returned to the kitchen and came back fried hard again.   And the omelet and scrambled eggs kind of reminded me of airplane eggs.   There were a few highlights.  Fantastic orange juice, killer Cheddar-Chive biscuits and a great over all vibe to the restaurant.  The service was terrific too.  But man, the food.  And it didn't seem like it was just a bad day either, I'm pretty sure they meant for that french toast to look and taste like that.   And I certainly wasn't expecting a lumberjack breakfast, but is it wrong to expect a little more than just two triangles on a giant empty looking plate with 3 tiny apple slices? I know i need to give this place another try, but Im not in a rush.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.026212522; Sentiment_Subjectivity (from 0 to 1): 0.587419165 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything here is outstanding.  I love a great tiny restaurant, and Casa Mono is both.  The environment is great, particularly in summer, and very comfortable.  I love having the kitchen out in the open, and the personalized attention cant be beat.   MUST ORDERS, aka the most memorable items, were,  the seared foie gras, Hudson Valley Pig Chorizo, Mixed Beets Salad, the Skirt Steak and the Pan con Tomate.   This is a really nice place to get some terrific small plates in the Union Square/Irving Plaza area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.342444444; Sentiment_Subjectivity (from 0 to 1): 0.670555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious breakfast only one block from the highline park, what more could you want?  Seriously i dont think you could plan a nicer way to spend an afternoon (unless of course you add a stroll through little italy, a visit to an art gallery show on new york storefronts, and end your day at a famous old italian pastry shop). Add cookshop to the list  of NY ":clean plates" restaurants-- great food prepared from fresh organic ingredients.  The orange juice might have been the freshest I've ever had.  The little southern twist on some of the menu items was great (mmmm grits, and biscuits), but i preferred the scramble with salmon, chives, creme fraiche and a side green salad.  Everything looked amazing, tasted amazing, was amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.283931419; Sentiment_Subjectivity (from 0 to 1): 0.606379585 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was always reluctant to go to Carmines for two reasons-- one-- its a well known NY tourist place, which usually translates to awful, and two-- its family style (you get large portions that are enough to feed several people and meant to be shared ) and i dont like to share unless we have a huge table and can share lots of yummy things. I was reluctantly semi-dragged there by some visiting friends, and I was really pleasantly suprised.  I still dont like sharing but the food was not only good, it was REALLY good.  The Seafood pasta (fruitte di mare i think) was so good i was soaking up every last bit of the sauce with my bread, and the Chicken Scarpariello is amazing.  Both were so good that i've never ordered anything else in all the times i've been back.  I need to go with a larger group so we can order a lot more things next time. Worth the wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.184880952; Sentiment_Subjectivity (from 0 to 1): 0.523095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMFG HOLY *^((($%%$#%$@&, CSBC I LOOOOOOVE  YOU!!! Im only trying to figure out who gave this place less than 5 stars and why?  This was hands down, absolutely the best breakfast I have ever had.  And i thought no way it could live up the hype I've seen (not to mention the two hour wait on weekends). I was wrong.  I apologize.  Go.  Now.  Often.  I may never eat a pancake anywhere else again.  And definitely try the chorizo with your breakfast.  The maple butter is indescribably heavenly, ditto for the raspberry preserves, and it looks like my favorite Salmon and Eggs (actually LEO) at Barney Greengrass now has some competition.  Toss up for which one is better.  Try both.  They're very different. Cant wait to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116472416; Sentiment_Subjectivity (from 0 to 1): 0.525811966 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Becco!!!!  What an underated place!  When I want to take my New York friends out, who have been everywhere, this is where I take them.  For some reason, (i guess broadway district shouts tourist to them) locals seem to never know about this place.   Also, you can impress without killing your wallet.  Someone mentioned the $25 wine list, which is amazing!  Where can you find that in New York? The osso bucco is delicious, the veal chop is great, but you come to becco for the pasta/anitpasta price fixe.  Every day becco makes three pastas, all always delicious and they serve you some of each, straight out of the sautee pan, and here's the best part-- they keep coming around with more, for as long as you want.  Im always suspicious of all you can eat offerings, as they are rarely good, but i've never been disappointed by any of the Becco pasta offerings.  They are delicious.   I haven't had dessert in ages, but they used to offer a semifreddo that was awesome.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.561515152; Sentiment_Subjectivity (from 0 to 1): 0.673939394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There is a good reason Gramercy Tavern consistently gets amazing ratings.  Its amazing.  Its comfortable, the staff is friendly and quick, and the food is creative without being weird, and more importantly-- delicious.   But the real excitement on this trip to Gramercy Tavern came from the desserts.  My god-- corn ice cream with blueberries, carmel corn and black pepper whipped cream may sound odd, but it was outstanding as were the cookies and the german chocolate cake with german chocolate cake ice cream on the side.   Oh-- skip the scallops if they're on the menu. They were good but there are much better things to choose from.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.33625; Sentiment_Subjectivity (from 0 to 1): 0.565416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can I say that 4 and a half stars and 300 reviews doesnt already say?   I've long heard that Yasuda is the place that any true lover of sushi has to visit, I've been looking forward to checking it out. All day I kept thinking...omg we're going to Yasuda tonight!  Its no stretch to say they had very high expectations to meet. Verdict?  This is the real deal.  Outstanding sushi.  No frills, tricks, or gimmicks just perfect fish over perfect rice.  We ordered omakase and the chefs selections were all outstanding.  They included two rolls which surprised me, because I had long ago abandoned rolls in favor of pieces of sushi, but Im so glad they did because they restored my faith that an occassional roll can be a wonderful addition.  And its SO much fun to share all the tastes of omakase with friends.  A visit to Yasuda is without a doubt, a great place to celebrate a special occasion. If you love sushi, you'll love Yasuda.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.424220899; Sentiment_Subjectivity (from 0 to 1): 0.666116402 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard about this place on the Ron and Fez show and have been dying to go ever since. I'll be honest, even though the guys on the show LOVED it, i was skeptical cuz i love really thin pizza.  And when i saw it I was more skeptical.  Its REALLY  thick.   But man, i was not even remotely prepared for what happened when i took a bite.  Well the first thing that happened, is it was so piping hot and fresh that the cheese and topping just started melting off and I burned by entire arm and hand-- buyer beware.  But thats only because im a clumsy idiot. But after that...oh my god.  What is in this stuff????  Heavenly!  HEAVENLY!!!!  Man, I was actually eating the topping off my arm, and didnt want to put the damn slice down to get a napkin and take the hot cheese off my hand.  I just had to go for another bite right away. So worth the 20 minute wait to get a slice of pizza! I had a slice of reg and a slice of the artichoke, and forget the regular stuff.  Its fine but who cares-- go for what makes them famous.  WOW!  So good!!!  And its HUGE!  I felt like a pregnant woman after eating one slice.  I couldnt even finish it.  What kind of maniac could eat more than one? I didnt even mind the 20 minute wait to get a slice.   My only problem is, its take out only, which nobody had really mentioned to me, and there isnt any place nearby that I could see where you could bring it to sit and eat.  (I almost sat in a bus stop to eat it).   So for those of us w/o nearby apartments-- im not sure how you really get to enjoy it.  As i learned, its not meant for eating while walking down the street.  And it really should be enjoyed hot. If you're on your own you can lean on the little ledge in their tiny little shop, but I need better options, cuz going to artichoke is way out of the way for me. Anyone with a nearby apartment wanna be my pizza eating friend?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.151102293; Sentiment_Subjectivity (from 0 to 1): 0.589169719 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 neighborhood bistro is most famous for their outstanding Antipasto bar, but I also recommend the wafer thin pizza, any of their pastas, and their exceptional veal parmagiana.  The atmosphere is a perfect balance between comfort and style and its the kind of place you can return to over and over again without ever getting bored. It isnt cheap, but then again, this is New York.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.34030303; Sentiment_Subjectivity (from 0 to 1): 0.827954545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Its pricey and the food is very good.  Its not outstanding, but the atmosphere makes up for the food being just pretty good.  I love a restaurant where you can be outside without sitting on the sidewalk and barbutos "walls" all open up garage door style so that you're inside and outside.  Its a nice comfortable environment with very good steaks and really good fish and excellent drinks. Im not sure I would tell you to go out of your way to get to barbuto, but if you're in the neighborhood its a great choice. Oh, and while its not cheap, unlike the other hot spots in the meat packing district, it is possible to go here and not spend $50 a person.  I noticed some people complained about the service but to be honest, every time i've been there i've been perfectly happy to sit and people watch, and never been in a rush, so I cant say i'd even notice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.331590909; Sentiment_Subjectivity (from 0 to 1): 0.69540404 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is outstanding, but its the ambiance that pushes the LIttle Owl from a 4 to a 5 star restaurant.  This tiny little restaurant is tucked into a quiet corner in the west village, with floor to ceiling windows, just 10 tables, an amazing sound system and great music.  Incredibly romantic.   Yes, the meatball sliders were good, but they were a little too heavy for an appetizer, particularly in the summer.  If you want to order THE standout item from the starters, order the scallops.  Im always reluctant to order scallops because their either amazing or really disappointing.  These were fantastic.  For dinner, the highlight is the pork chop-- one of the best i've ever had, but the steak was also exceptional.   Make sure you save room for dessert.  For some reason, they dont want you to know whats on the dessert menu in advance (its not on the website, and there is a seperate dessert menu) so i wont spoil the surprises, but definitely plan to at least share a lil something. If you were only going to go to the Little Owl once, i'd say save it for fall or winter-- there would be something about being here on a chilly night, with a light snowfall that would be absolutely perfect and their menu leans on the heartier side.  I do wish the menu was a little more seasonal, but im not going to complain about outstanding food. The only bad moment of the night was when one of the staff for some reason decided to screw around with the fantastic music that we were enjoying...cutting 3 great songs off in the middle, (for no reason).  We were LOVING the music, and that was so odd, and annoying and definitely pulled us out of this great food/music/atmosphere haze.   But check this place out.  Such a great experience over all.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.190955285; Sentiment_Subjectivity (from 0 to 1): 0.650542005 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything we had at Cabana was great.  The fried plantains were great, and we had a variety of appetizers to share which were all really good.  The highlight of the appetizers though, were the sauces.  Just the right amount of spicy and savory. For dinner I ordered Arroz con Pollo (im a purist and like simple things) and it was fantastic, although it was HUGE!  18 hours later and im still stuffed.   It came in a big cast iron pot, and was also loaded with slices of  really really really good sausage.  Next time i may have to switch to arroz con chorizo. After the big plate of starters, I probably should have ordered something a little lighter, like the Tilapia which came in a sauce so good you needed bread to soak it up.  The Salmon in a citrus glaze was really good too, and was served  over a bed of coconut rice.  I dont normally like salmon or coconut--  but I tried it because my friend who ordered it insisted.   Fantastic!   The restaurant seating is pretty tight.  5 of us sat at a table for 4, which means one of us was stuck sitting on the crack of the table, and its really difficult to feel like a grown up enjoying a meal when you're sitting on a table crack.    And being  really close to the other tables is something you kind of get used to in NY but its always better if you dont have to. Oh, almost forgot, i liked the lively music which was loud enough to energize the room, but not so loud that you couldn't talk.  Overall, lots to choose from on the menu, and its all good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.279093953; Sentiment_Subjectivity (from 0 to 1): 0.553236607 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 annoyed!!! Schlepped all the way to bubbys cause we'd passed it a few times and remembered it was 24 hours, and we were looking for a bite to eat at 4:30 on a weekend.   I thought it would be fun to try a grass fed hamburger, so off we trekked. We arrived all excited only to find out that despite the 24 hour signage, they dont serve food round the clock, so we were welcome to sit down for some drinks if we wanted to, but we didnt want to.   If you look like a restaurant and you say 24 hours, and advertise a midnight till am breakfast...why would you not serve food at 4:30 on a weekend?  Am i being too harsh..maybe.  Im sure i'll give them another chance but not just yet.  Im still bitter.  ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.07165404; Sentiment_Subjectivity (from 0 to 1): 0.620707071 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'll just throw my 1.5 cents in to agree that its really good, its really cheap, its available at the hours you really need greasy yummy food, and its kind of a NY institution.  And the line isnt as bad as people say...it comes and goes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.577777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Its as wonderful as my fellow yelpers say.  Really 4.5 stars.   Its just not quite all the way up to FAVORITE PLACE OF ALL TIME status, but its on the super high very much recommend list. Do yourself a favor and order duck...duck...  well just duck duck (sigh, if only they had mousse on the dessert menu you could order duck duck mousse).  But if you've read through a few yelps then you didnt need me to tell you to order the spicy duck meatballs and the duck breast entree.   The apps are the real star here.  Actually i think apps are the real star everywhere, so add to your list the crispy calamari salad for sure, and if you have room for one more, the pork belly was also unique and delicious.  And do not leave the restaurant without sharing some Risotto with your tablemates. Its really decadent. I was nervous about ordering the hangar steak because the Yelpers either raved or were disappointed, but mark me up in the Yay column, cause it was perfectly cooked, had great texture and had a lightly sauced plate that was good enough to lick clean.   If you have room for dessert, you cant beat the experience of a freshly made donut, still warm when it arrives at the table.  I also adored the complimentary recently baked peanut butter mini cookies that were brought out with our coffees.  For me, a simple perfectly made cookie trumps any other kind of dessert.  Although I did kind of regret not ordering the 'must-place-your-order-before-dinner' teacup soufflee that I saw float by.  It smelled heavenly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.344375; Sentiment_Subjectivity (from 0 to 1): 0.607428075 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 kind of a snob when it comes to greek food because my best friend is Cypriot and his family makes the worlds greatest food and knows the best restaurants.  I generally wont eat Greek outside of Astoria because its usually just not worth it.   But now I've found my first Manhattan Greek restaurant that I feel can rightfully call themselves a Greek restaurant. The tzanziki was delicious.  The octopus salad is perfect.  It should have a ray of moonlight follow it to the table.  THAT GOOD.  The Sheftalia was really good, although tasted a touch more middle eastern than greek. And they have Pork Souvlakia!   Its really hard to even find pork souvlakia.  Don't get the chicken, the pork is so much better!  Is it as good as we make at home?  No, but nobody's is.  But its much better than any other 'greek' restaurant in Manhattan.  The salads are great too.   The only low point was the Bronzino. Just not what I expect from an otherwise yummy Greek restaurant.   My advice?  Skip the main course and just till the table with starters. Next time I have to try the dessert. I hear they have galaktapouriko.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.278030303; Sentiment_Subjectivity (from 0 to 1): 0.402525253 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 9th Avenue and I adored Room Service.  It seems like 9th avenue has become Little Thailand which is just fine with me.  And Room Service was EXCELLENT thai food served in a really fun, quirky environment.  Great date place.  Great place to go with friends.  So many appetizers make for good/fun sharing, and everything was delicious.  I'm not a drinker but the drink menu almost made me change my mind.  Girls night out!?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.512916667; Sentiment_Subjectivity (from 0 to 1): 0.68 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tasty, not cheap enough for what it is. You can get a good sandwich to go for only a lot of money (rather than a ton), and it will be fresh and yummy.  If you are willing to travel for Greek, go to Kefi.  If you want a fresh cucumber sandwich in Soho, come here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.16875; Sentiment_Subjectivity (from 0 to 1): 0.56875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is awesome. Food is tasty, tons of seating inside and outside, free wifi and plenty of places to work.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Based on one experience, so I can't speak to everything. Mondays: all you can eat mussels for $10. I'm not sure I got $10 worth. The first round was undercooked so a third of them were closed and not particularly appetizing once opened. I was offered more once my companion was already done with his meal. I said yes and it was another 10-15 minutes before they arrived.  I felt disappointed.  My companion was also not very satisfied with what he got. I'm not planning to go back any time soon.  The servers were quite pleasant, but I do think they could have anticipated this issue of the mussels taking a long time and that being awkward for the other party.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.038931624; Sentiment_Subjectivity (from 0 to 1): 0.478874644 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I feel like this is a place that operates on its own rules.  I don't really understand how the menu works (there is one copy, a print out stapled together, I guess it changes sometimes?). The food is ridiculously good.  I got my $9 out of that sandwich somehow.  Crusty bread, delectable meat, well-executed gourmet fixins.   The owner seems serious, up to the serious task of cooking all of us a substantial dinner full of flavor, thought and heart.  And probably better than anything I could cook on my own. Minus one star because he always seems to be barking something unpleasant at the employees, which is off-putting.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.153333333; Sentiment_Subjectivity (from 0 to 1): 0.623333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: DO NOT GO HERE.  It is because of people like you that it's so hectic at Pepe Rosso, and I would prefer if you could stay away and leave more for me. Salmon is great, also pink sauce.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grabbed a late lunch while shopping in Soho on Friday afternoon... Made the mistake of ordering pre-frozen spanakopita... Pucker-faced on sour, mint-less lemonade... Rejoiced with lamb and chicken sandwiches on super-chewy bread!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.4; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The $36 lunch tasting menu was installed at Bouley shortly after Bouley Bakery and Bouley Market closed down due to low marginal profits, when David started re-working his whole gameplan. Rumors are he's concentrating his efforts on opening something where Secession and Danube once were, so I'm not sure if this 6-course lunch is just a means to rake in some income before the next big thing. At Bouley, the French-New American cuisine is clean, simple, and elegant. No gimmicky foams or liquified tarts. Which brings me to why the lunch tasting menu was a little disappointing: Most of the items were too simple. I would have taken 3 outstanding courses over 6 meh courses any day.  The chicken with black truffle gnocchi and a side of fingerling potato puree was so utterly straightforward that I was kind of suprised it was being served at such a highly-touted restaurant. I think I would have rated Bouley 4 stars had it not been for this boring piece of rubbery chicken (the duck, on the other hand, was much tastier). More items, in order from worst to best: the tuna, the flan, the skate. The big eye tuna sashimi was basically sliced fish over a lemon sauce. While the lemon terrine was very visible and flavorful underneath the sashimi, I'm not sure why the cucumber and radish were even emphasized on the menu as I barely knew they were there. I'd be interested to know if this is Pacific or Atlantic big eye tuna as I believe one or the other is very overfished. The porcini flan was a little salty, but the meaty pieces of crab were savory enough for you to want to keep digging your spoon back into the copper pot. And the skate was my lunch experience's saving grace. This is the only course where the dish seemed simple and unpretentious, but a few bites truly brought out the underlying complexity and thoughtfulness that went into preparing it. Really liked the granité and olive oil sorbet (again, well-calculated). This was, lastly, followed by a bombarding of chocolate in the chocolate frivolous, a delicious caramelized pear, and various petit fours. While dessert was freaking awesome, it was also kind of sad given that the high point of a meal here shouldn't be it's final note; I wanted to be wowed throughout the entire tasting menu. My date, also, barely mouthed a "omg WOW" save for the breads, the skate, and the dessert. A small note: The items on the Spring lunch tasting menu are almost identical to the Summer lunch tasting menu but for a few changes. Current website menus are incorrect. Maybe this review of an entire restaurant is a litte unfair as I only had the tasting menu at lunch, whereas the dinner tasting menu seems to be much more elaborate. My experience was okay and the service was very good.  $36 is great deal to draw people in, but, unfortunately, it should not be an excuse for average-level food at what should be a superior establishment.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.074499218; Sentiment_Subjectivity (from 0 to 1): 0.540606975 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Three standout pieces you will want over and over again: the goat cheese tart, the mussels, and the profiteroles. This is my third time at La Sirene and the meal is always a hit with me. La Sirene is a casual French bistro with very buttery, rich, and indulgent food. Not really vegetarian or vegan-friendly which I saw a  vegetarian diner found out as she left in a huff mid-dinner (dommage... c'est francaise!). The dining area is small and intimate so definitely stick to reservations and don't be surprised if everything from your hair to your boots reek of butter afterwards. CASH ONLY! Don't be silly like me and forget to go to the ATM earlier if you're treating someone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.033928571; Sentiment_Subjectivity (from 0 to 1): 0.492261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Last Sunday, my date and I shared the creamy polenta and frito misto over a bottle of wine. We then shared the black tagliolini, the spaghetti, and the red beet casonsei (like a ravioli) with some more wine. This was more than enough food for two foodies so we skipped on dessert, but not before a heaving sigh of complete satisfaction. Highlights: The polenta, the spaghetti, the tagliolini, the bread. I love beets, but did not particularly like the poppy seed-pistachio topping on the ravioli. I think a key to your experience here is to keep your expectations in check. Opinions on Scarpetta have ranged from "phenomenal" to "just okay" to "overhyped", so each time I just hope for a a good meal and nothing out of the ordinary. What I've received over and over is considerate, friendly service (no attitiude, unlike the waiters at Babbo) and a truly solid meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1984375; Sentiment_Subjectivity (from 0 to 1): 0.439583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 banh mi, and I love the banh mi from Banh Mi Zon. This is a small airy shop with only a few tables and window seats. Grab a travel magazine from the rack and unwind with a fresh lemonade (so good, made with lemons and sweet limes) while they make your order. The grilled chicken banh mi is definitely my favorite. The bread is so fresh and crusty ("zon" means crispy in Vietnamese), but can almost give you the Cap'n Crunch effect on the roof of your month. For less than $10, this is a really pleasant meal. All of the banh mi, except for the vegetarian banh mi, have pate, mayonnaise, cucumber, pickled carrots and daikon as basic ingredients. The vegetarian sandwich does not come with pate or mayonnaise.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.19047619; Sentiment_Subjectivity (from 0 to 1): 0.575595238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like the new Spoon album: so damn satisfying. Ask for extra coriander chutney. MMmm.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.212121212; Sentiment_Subjectivity (from 0 to 1): 0.518181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite brunch spots in the city, absolutely perfect in the summer for a hangover if you just wanna keep the party going. Very festive and leisurely. I think the fries are better at Ideya, but salsa on the fries at Yuca is soo action-packed and awesome.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.64; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Kind of crowded, but a few mean mojitos will make you forget that you are waiting 20 minutes for your table. The Colombian gangster in me craves their goat cheese empanadas, platanos, and arepas.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.029166667; 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: I'm just restating what everyone one else has already said. 1. Brunch is the BEST. 2. Eggs, eggs, and eggs. 3. Hash browns (more like slices of hash brown pie) are phenomenal. 4. Anything housemade (granola, ice cream, etc) = YUM. 5. Neighborhood-y and very friendly. 6. Great celebrity-watching spot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.6575; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 more in love with the vibe of this place than I am with the food. I might have to give the food another go because my meal was kind of eh (chicken rollatini) but my boyfriend's meal was really good (chicken scarperiello). I'm not even sure why I ordered off the specials menu on my first time there (I never do that) but I think the rich, herby garlic bread threw me off (I couldn't stop eating it). Also, the salad that comes with the entree was kind of blah and oily. Very loud but very charming. I felt like I was in a giant Italian movie scene. I barely had room left for the generous slice of tiramisu, but it was totally awesome.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.289117647; Sentiment_Subjectivity (from 0 to 1): 0.674836601 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new location in the Excelsior Hotel is still spacious but more cozier than Calle Ocho's previous setting with the high ceilings and expansive dining room. Pretty loud on a Friday night. And none of the entrees really go all the way as I remember them to. Rice or chicken is sometimes dry, and the desserts are passable. (Minus one star) Nonetheless, I'm still pretty happy with their appetizers and drinks. Some ceviche, datiles (YES, the dates are bacon-wrapped AND almond-stuffed), roja sangria, and some of the cheesy bread with bean dip is usually all I need to get an evening started right. Downer of the night had to be when the waiter asked if he could bring our entrees out a little bit early as the kitchen was a bit rushed (we were still munching on apps). I don't think this is my first review where a waiter has done this, and I'm starting to get a little alarmed that this is becoming conventional. Hmm.. Did I not make reservations? Did you not just give us our drinks and appetizers 2 minutes ago? (Minus one star) This same waiter turned out to be a hero after my boyfriend totally forgot that he left his credit card inside the bill holder. Two days later, my boyfriend went back to the restaurant to pick up the card, which was safely being kept by the restaurant thanks to this waiter who had returned it to Calle Ocho's management. (Add one star for doing the right thing).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.069890378; Sentiment_Subjectivity (from 0 to 1): 0.459616674 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went to snack for sandwiches, although their pies looked really good, too. The sandwiches were yummy. They are served on bread which has a crusty outside and a nice chewy inside. It's delicious, but can be difficult to bite through in a sandwich. The hummus was not at all bland and was served with freshly baked pitas. I also got the mint lemonade. The lemonade was perfect: not too sour, not too sweet, but there was no taste of mint. All in all, a great lunch spot. Lots of vegetarian options. There is a $20 credit card minimum.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.357575758; Sentiment_Subjectivity (from 0 to 1): 0.68030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been to Tom's a few times. The men in my life absolutely love it. A huge menu, cheap as hell.... I , on the other hand, find it just ok. The history is intriguing. Gus is a doll. The food can be hit or miss. I have had omelettes that were so salty that I couldn't eat them and I've had perfectly satisfying pancakes. That being said, it's a great place for breakfast any day of the week (except Sunday, of course).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.341666667; 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: I brought the fam to Supper when they were in town.Of course, the whole way there, they kept asking over and over, "What's the name of this place again?" "Supper." It was just as annoying as those old Guess jeans ads. "What jeans are you wearing?" "Guess." After a long day of museuming, we got there early enough that there was no wait and late enough that we were emulating my 95 year old aunt. The place is small and cozy inside. I thought the food was delicious. The portions were a perfect size and priced well. The eggplant appetizer was amazing. We sopped up every last bit of sauce before letting the plate go. Everyone enjoyed their entrees as well. I have to admit being quite jealous of the mozzarella app that came to the table beside us... I want to go back and try the daily risotto.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.111111111; Sentiment_Subjectivity (from 0 to 1): 0.489814815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Song was a fantastic discovery, thanks to Yelp. There is a wait, even on weekdays (I think there was a 40 minute wait last Tuesday--we were too hungry, had to defer), but if you come expecting to wait, you will be rewarded. The food is delicious and the drinks are generous. And you will have leftovers. Leftover Thai might be better than leftover pizza!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.445; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one of my favorite Greek places in the city. There are only a couple of tables here but if they are full they take your cell phone and call you when a spot opens up. The food and service is great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33; 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: Extremely overpriced for what it is, and food is good but not amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.091666667; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved the food!  I went mid-afternoon so it was not crowded and it was a very pleasant, mellow experience.  The chicken lunch special was delicious and just as good as I've had in Greece.  Yummy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.576746032; Sentiment_Subjectivity (from 0 to 1): 0.820238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was looking forward to a cool, quiet lunch at JANE.  The restaurant is light, well designed and pleasant. However, the food is overpriced for what you get and my waiter was inattentive and slightly snobbish.  There were only 2 other patrons so I don't know why he couldn't refill my water or check in with me after I received my order. I'm glad I tried it but I won't return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211458333; Sentiment_Subjectivity (from 0 to 1): 0.648958333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: HOLY JEEBUZ that's all I have to say, because the thought of their fries makes me salivate and thank the Divine.; Max_Daily_Reviews: 1; 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: I went early on a weekday morning recently and was happy that this place has lived up to its accolades.  I ordered the FARMERS and was amazed at the mountain of fluffy eggs, plump broiled tomatoes, slices of wonderful farm cheese and super fresh bread. The ingredients, preparation and presentation were carefully considered and it's no wonder I see the lines around the block on the weekends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.279166667; Sentiment_Subjectivity (from 0 to 1): 0.639583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went on a slow night and it was lovely and quiet.  I had a Pom Martini (good but syrupy sweet), Sea Bass (flavorful and creative presentation) and a side of Mac N Cheese that was good but no da bomb as others have raved.   I liked everything but my friend loved the Scallops and was very pleased.  If you have $$$ to spend on fancy food, go for it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.386363636; Sentiment_Subjectivity (from 0 to 1): 0.675757576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for a late lunch and they had a good selection of choices that were fairly priced.  The cafe con leche hit the spot and so did the Cuban Chicken fillet. I am not sure what it would be like for dinner but I'd highly recommend it for lunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.068333333; Sentiment_Subjectivity (from 0 to 1): 0.746481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is absolutely adorable. It's just a tiny place with a handful of tables, with benches outside to sit and wait (good place to people watch). I used to frequent this place much more often because I had a dreary little job and it was in walking distance from said job. It was my little respite away from the office. I was happy to see that it hadn't changed one bit. It was still as delicious as ever, when I went a few weeks ago for a casual lunch with a friend. The ingredients are as fresh as ever, and the portion sizes are great for what you get. I love moussaka as a rule, and they do it well. Also love the keftedes and stuffed grape leaves. Sandwiches are good, too! I love Snack! Eat here!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.348958333; Sentiment_Subjectivity (from 0 to 1): 0.587037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 miss Palo Santo. First, great dinners. I remember when it first opened and the chef/owner served up AMAZING chef's menu dinners. Everything was always perfect. Meats were cooked perfectly, savory, and never over-seasoned. Get the chicken offal grilled on skewers. Perfect latin street food! But the BRUNCH is TO DIE FOR. Every time I went, I always left stuffed. I loved the various fish (soft shell crab, even!) on grits, and the oh-so-delicious hash. The potato hash is also amazing, as is the whole baked plantain, served with sour cream topped with brown sugar. Mmmm!!! The decor is a little funny, with the knick knacks in the tables. They look too shiny when compared with the rustic decor.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.334972426; Sentiment_Subjectivity (from 0 to 1): 0.63627451 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was our after band practice hangout, which, at the time, was a Pizzeria Uno's. I wish I could be cool and say I was the drummer of an awesome rock band, but I can't. This was NYU concert band, and my buddies were the rest of the percussion section. Anyways, it was really interesting for me to see how they transitioned the old Uno's space into The Smith. All the parts are basically there, but it's all much more trendy. First and foremost, it's really noisy. When I went last night, my friend told the host "three people." I only witnessed it because I couldn't hear him say anything, and he was standing right next to me. Upon arriving at the table, we were presented with bottles of flat and sparking water. Wasteful? Most likely, but it was nice to get some nice (complimentary) sparkling water for a change. The food, overall, was okay. The hot potato chips with blue cheese were a big hit, and for $6 the portion was generous. The beer selection is okay, too. I tried to order the Victory Pilsner, but they had just changed it out for Kelso's Pilsner (if you're wondering, NO Kelso Pilsner, YES Kelso Nut Brown Ale). I shouldn't have ordered the fish. I had the cod - it was perfectly decent - but I had made Chilean Sea Bass the night before. Damn. No comparison, you know? It's my own fault, I know, but I should have known better. The sides that came with it were good. The spicy cauliflower is indeed spicy (although a little oily). The $5 sundae menu was a nice touch, too. I liked that the cookies on the menu were $7, but there was a note by it that said (not a sundae). Waiter and service were good, although a little time was spent flagging down a guy with a pepper grinder.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.280467372; Sentiment_Subjectivity (from 0 to 1): 0.531007496 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Another great bar with Smithwick's on tap! Hooray for good beer! I love this bar. It's much more cozy that sister bars Ulysses and Puck Fair.  It's just the right size without being a sprawling loud mass, and still has a few corners for privacy. I've definitely fed myself on dollar dogs and beer when my pockets were feeling light. A great place to just hang out. I can't say about the weekend crowd, since I'm more of a weeknight drinker. Did I mention the beer?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.40467033; Sentiment_Subjectivity (from 0 to 1): 0.614285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Me: I wasn't sure I should get you fries... Momo: The answer is always yes... I remember my best friend was looking forward to Pommes Frites more than anything else when she came for a visit to NYC. We were planning on going right after she got off the plane. However, another friend of mine had mentioned that they were shut down. Upon a little research, I realized Pommes Frites was going to be closed for the weekend, due to renovations started the week before. She cried. Not because she wasn't going to be able to get them (in fact, they were reopening on Monday, and she would be here for the week), but because she couldn't get the immediate gratification. 6 months of anticipation shot down. Yes, they're that good. Minus 1 star, not because of inflating fry prices (regular was $4, now $4.50), but for inflating sauce prices (used to get one free, then $.75 for one, $1.50 for 3, NOW $1 for 1, $2.50 for 3, boo!!!!).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.259904691; Sentiment_Subjectivity (from 0 to 1): 0.427093145 [/INST] Not Spam</s>