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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: Oh Balthazar - what would we do without you. A mainstay in our neighborhood - just an absolutely terrific spot for just about anything you can think of - breakfast, lunch, dinner, brunch and cocktails. The food is all almost always well executed and there is solid variety on all of their menus - from a nice raw bar to a plethora of appetizers to rich, decadent entrees and awesome deserts - you will find something that suits your fancy when you go. Of particular note are the extensiveness of wine / cocktail / liquor selections, eggs (try the ratatouille omelet - damn!) and all of the red meat dishes (steak frites, duck preparations). But, as mentioned earlier, you're likely to get something good even if you pick randomly. On top of that, the place is always bustling with an interesting, blended crowd of in-the-know tourists, locals and people that have made the trek down from all parts of the city. It's as great a place to meet for a quick drink as it is for Sunday brunch as it is for ordering one too many bottles of wine with a great group of friends over a multi-hour dinner. This is my favorite of this family of restaurants (which also includes Schiller's, Morandi and Pastis) - I'd say the only slight downside is that walking in and getting a table in a reasonable amount of time (except weekday breakfast) is a near impossibility - but hey, it's that good, so do your homework and make a reservation, and frankly, if you have nothing better to do, it's worth the wait ;-); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.307913897; Sentiment_Subjectivity (from 0 to 1): 0.588904717 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A pretty solid spot - we ended up here last minute as we were visiting some friends in the neighborhood and ended up deciding to stick around for dinner. They had raved about this place so we decided we should all give it a shot - it was a worthwhile visit with food that was imminently satisfying and well prepared. While there are some more solid Italian restaurants around Manhattan and Brooklyn, these guys know how to execute a solid meal, with a reasonable wine selection and decent prices. We're also huge fans of Henry's End down the block, and the two restaurants are nicely bright spots in the neighborhood that I'd recommend to someone, foodie and otherwise, in a heartbeat.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.218650794; Sentiment_Subjectivity (from 0 to 1): 0.473015873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A great spot - very homey spot that can dress it up for cocktails but also perfect to roll into with jeans and flip flops on a lazy weekend for deeply satisfying brunch, a cocktail or two and friendly service. Food is very good - simple, well-executed, often gives you that "this was exactly what I was in the mood for" feeling. Highly recommend you stop in when in the area - perfectly exemplifies the relaxed but refined Nolita vibe that makes me love the neighborhood so much.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.434230769; Sentiment_Subjectivity (from 0 to 1): 0.636703297 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only tried the sandwiches here, and the hummus (mmmm). everything tastes fresh, light but filling, and actually healthy! the sandwich bread is a bit crunchy and not as soft as most breads but it doesnt leave that soft bread gunk stuck in your teeth feeling, which i hated back when i wore braces. minus one star because there are only 5 two-seater tables so most of the times i came here, they were already taken.  a perfect cozy place for you to go alone as well. i love coming here in the beginning of summer. it's a great stop on a shopping excursion in soho.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2265625; Sentiment_Subjectivity (from 0 to 1): 0.58125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: sunnyside hollaaa!!! (alright so i've only dwelled here for 6 months, but i'm damn proud of it!) this surprisingly clean and silverware laden restaurant with the non-greasy floor (like most places around here) is conveniently 3 blocks away from my humble abode. it's a gem and definitely a great intimate date place in the middle of sunnyside's mecca of fast food take out spots. i believe i've had the grilled chicken torta 3 weekends in a row. crispy chewy bread smeared with guac, refried beans, jalapenos, onions, lettuce, tomato,  and your choice of meat. never failed to hit the spot. my weekend roommate swears by the chicken burrito con mole poblano. their nachos are real NACHOS. not your nachos with cheez whiz and a dallop of sour cream here. there's enough toppings to go around for each chip. good toppings to chip ratio. i hate it when theres not enough toppings and you have to eat it consciously so your last few chips wont enter your mouth naked. definitely get the guac made to order and the tres leches...ohh yes the tres leches. once it came with mango chunks on top. so delishis. can you say flavor of loove??; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.094444444; Sentiment_Subjectivity (from 0 to 1): 0.529861111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best italian places i've ever tried. But can get pricey. Great special date option but i've seen groups there as well. It's so much more than your average pasta and sauce. I usually hate carting home leftovers from the city because i live in the far reaches of queens. But honey, i would carry this on my back and walk home if i had to!!! The Misto Platter is a great sampling dish. Shrimp n Scallop Salad, and OHH the stuffed mushrooms n artichokes. Tried the thin crust pizza, it's crispy thin and was wider than the serving plate, but very good balance of the ingredients. nothing overpowering another. I had veal for my entree: Scalloppine Marsala. i thiiink it was that dish. the veal was the size of a serving plate but it was pounded thin and breaded to perfection. i dont think i;ve ever tasted anything close to it.  The restaurant has a rolling cart of dessert so you can see what you're ordering. They were out of ricotta cheesecake (i freakin love ricotta cheesecake, swing by Veneiro's on LES, you will not be disappointed), otherwise their tiramisu can be the cherry of your sundae. Hell, this place was so good, I wanted to take home everybody's leftovers. (ewww, but i don't care); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.161305916; Sentiment_Subjectivity (from 0 to 1): 0.608412698 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a toss up. a party of 5 on a saturday night arriving at 7pm means you get to eat at 9:20 pm. it was my first time there and we killed time by drinking at their tightly packed and overpriced bar. $18 for a glass of oj and 1 bottle of beer. ouch. the place is homey and reminicent of a sea cabin bunker type thing but the clientele ranges from your average diner to the pretentious. spotted one lady wearing a fur coat that looks like it was made of wigs. the waiters are seriously incredible, being able to maneuver through a crowd carrying 3 hot plates at a time. service is attentive. go during off-peak hours if they even have any. ok the food. -oysters were reallly good. lemony n a bit garlicky and slurp and theyre gone. -prosciutto and ricotta tart- mmmm quality is niice. -devils on horseback - bacon wrapped baked dates. pop em into your mouth at once. very nice combination of flavors. -gnudi was so...LD OUT!!! WAT THE EFF. apparently this is the app to try and they had no more. eff eff eff. -chargrilled burger with shoestring fries. it comes with roquefort cheese and thats it. and the two buns. but the burgers are amazingly juicy and fresh if burgers could be fresh!! roquefort cheese tasted a bit like feta, very strong.  i'm not sure if you can get the cheese substituted, but then that would defeat the purpose of eating at an english gastropub. -braised lamb shank with roasted celery root. a hearty piece of lamb that slides right off the bone. a tad salty but the side dish it comes with it complements it nicely. wasnt too ecstatic with this, but thats because i was expecting the kind of lamb you cut like steak. yeah i dont know my meat parts.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.288662008; Sentiment_Subjectivity (from 0 to 1): 0.61399931 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. what a great surprise. stopped by this adorable al fresco spot around 6:30 last night, got a seat for 2 right away. location is great, people watch, eavesdrop, or have a bottle of wine under a big umbrella. app: gorgonzola with walnuts n honey, served with sliced french bread. mmmmmm...... requested for more bread, addn'l 75cents due to increased price of flour (damn you economy). this combo is just perfect. minced walnuts so it doesnt taste too nutty. entree: couscous with organic chicken n hummus. very delicious. however not very warm. but still tasted good. it looks like a big ol mix of fried rice, with other stuff mixed into the couscous. salmon pot pie with spinach surrounded by tomato(?) n olive sauce.  not ur conventional super flakey pot pie crust, but still very delicious.  with a thick cut of salmon on a bed of spinach in the pie. dessert: tiramisu. no complaints here. melts in your mouth. all that + tip = 54$ there's a walk-up window to order to-go drinks as well. i left feeling kinda giddy. it was just all around great place. DEF will come back. with a date.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25181685; Sentiment_Subjectivity (from 0 to 1): 0.522509158 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Arrived here after circling the block for more familiar spots which were all packed to the seams.  Cool modern minimal interior decor. Dimly lit. Jungle/salsa music. "ooh-ooh-aHHH-AAAHHHH-AAHHHHH-cha-cha-cha" classy looking crowd. this place was packed too but was letting people in. drinks are average price. It finally got (almost eerily) empty when it hit the later hours of the night. This is probably best as a pre-gaming spot. Three stars because it wouldnt be my typical first pick. So this review is purely based on my personal preference.  Service, bouncer, everybodys nice. There's socializing. But no rump-shakin. Unless you count the one drunk couple who occassionally bumped into the chairs. those asses. haha.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.151190476; Sentiment_Subjectivity (from 0 to 1): 0.530701754 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 HAPPENED CALLE OCHO??? Broke my heart! I've loved this place from way back when too. Last Sunday I came for a dinner in the new location for the first time(now hidden inisde the Excelsior Hotel). I went with 3 of my friends because we all had a pleasant experience earlier in April at the old location (even with a snippy waiter). So we sat and had our drink orders taken, and was given a good sized tray of pan de bono (i love) while we perused the menu. We had decided rather quickly and had looked around to signal to our waiter but he had some serious blinders on. Even other waiters didn't manage to notice us waving our arm in the air, or our "excuse me"'s. Finally, after about 20 minutes we managed to flag him down as he was heading in another direction, and he explained to us really slowly (I'm sorry was this snack time at nursery school???) that he was going to put something down and then come back to take our order. So he came back, and took our order as promised. We ordered a lobster ceviche, calamari appetizer, an arepa appetizer, and 3 entrees for 4 ppl to split. WE WAITED AN HOUR BEFORE ANYTHING SHOWED UP. We were ready to complain but we were afraid of the possibility of the staff messing with our food, (NO 'TUDE BEFORE THE FOOD!!!) because waiting a whole hour for SOMETHING to show up is UNACCEPTABLE. Especially when we order something like lobster ceviche. Did they select a baby lobster for us and had to nurse it in the kitchen into a full grown lobster?? And that was actually the last appetizer to show up out of the 3 ordered. (it was actually my favorite too. the flavors were great) but the other apps were just ok. They were not as great as I had remembered. The calamari was tender but it just tasted not as good as the last time. The entrees came, a seafood paella, skirt steak, and salmon w lobster mash. They were all ok, the paella shined the most. but the steak was a little chewy, not the great skirt steak i remembered. Also, it took more just to flag SOMEbody down for more water. The funny thing is, as we were nearing the end of our meal, 5 different people came to ask us if we were done, our own waiter being the last. We waited this long for food, can we just sit back and try to enjoy this?? We were so annoyed that we just gave up and finally said, yes please just take it away and just end this meal. There was no offer to look at a dessert menu or anything. I was just so DISAPPOINTED, I doubt I will ever go back. It's really sad when you see one of your favorite establishments seriously go downhill.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.126170184; Sentiment_Subjectivity (from 0 to 1): 0.516152597 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I live for this place.  It feeds me lunch at least twice a week, and never once has it let me down.  A few highlights: the lamb sandwich; the artichoke/chicken salad; any variation of the pikilia (three cold mezes).  Everything is fresh, staff are friendly, and the food is without rival.  These kinds of places make food in New York the best!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.076907969; Sentiment_Subjectivity (from 0 to 1): 0.449270483 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My favorite bar in the city.  Simply perfect.  I love me some good beer, and this place has plenty.  It also has plenty of charm: dark; small; quiet street; little pretense. Now if I could only remember there is only one "r" on the name, I'd be set.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.21125; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 teetered between 4 and 5 stars for this one, but I settled on four because I felt like it.  I'll be back to this joint, so take that for what it's worth.   A very sexy special someone and I shared the following: -Pumpkin and Goat Cheese Croquetas: anything pumpkin would please both of us, so this was a big win. -Calamares Fritos: yum. -Mussels: double yum. -Dorada w/ Sunchoke Gazpacho: the gazpacho was killer.   -Goat with Saffron Honey: to die for. Top this all off with a great, and highly-recommended bottle of tempranillo, and this place is a winner.  I'm moving to Spain immediately.  Or at least Mario Batali's Spain.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.282467532; Sentiment_Subjectivity (from 0 to 1): 0.356493506 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is an EV gem.  Took me far too long to try this place, but finally went last night.  I am so excited to go back, as I need to try everything on the menu!   Our table ordered a delicious bottle of white as recommended by our server, two salads (Maroulosalata and Roka Kai Ahladia Salata Me Fistikia Aeginis [pear and arugula]), the octupus mezethe and the lamb shank.  The salads were to die for, the octupus was tender, and the lamb was fall-off-the-bone delicious.  To top it off, the fresh pita and red pepper hummous is unbelievable, and it magically arrives on your table!   Cannot wait to go back!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.24; Sentiment_Subjectivity (from 0 to 1): 0.547777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was a perfect Saturday.  75, sunny, no humidity.  Friends were busy, so I lolly-gagged my way up the west side to Chelsea to have a solo mid-afternoon brunch.   Just me and my book, outside, in the sun.   Bypassed the breakfast choices and went right for the turkey club, which was heavenly.   Excited to go back for dinner.  But maybe with a friend this time.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.293452381; Sentiment_Subjectivity (from 0 to 1): 0.439285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Long one of my favorite neighborhood spots for a great dinner, I recently had my very first Extra Virgin brunch.  It is now on my list of "Best Brunch Spots" which is currently being compiled in my head.   We scored a table outside on an absolutely perfect summer day and started with bloodies and mimosas.  I had the baked eggs, she had the special omelet, and we split the fries with gorgonzola dipping sauce.  DELISH.  I was uber envious of the french toast on many surrounding tables, but we suppressed our urge to over indulge (and chose to over indulge in more drinks instead).   Go for brunch immediately.  Just don't go when I'm there, b/c I don't want to wait.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.352295918; Sentiment_Subjectivity (from 0 to 1): 0.446768707 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a dream.  My favorites: pancakes with homemade maple butter, biscuits, basically everything.   My least favorites: the waits for brunch.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.3; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't get me started.  Don't even get me started.  (Name that quote.) Have been to GT a few times now, but only to the bar area, which is more my style.  Much more casual, but with the great service, good drinks, and perfect food you'd expect from an institution like this.   While I was upset to see that the filet had disappeared from the bar menu, the meatball that replaced it is inexplicably delicious.  Cheese wrapped in meat served over potato deliciousness is hard not to like.   Eat here immediately.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.350833333; Sentiment_Subjectivity (from 0 to 1): 0.685833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loves it.  How can you go wrong with well-priced Southern food in a comfortable atmosphere?  Any place that serves sweet potato fries is a winner in my book, so I naturally loved this place. I'll be back soon.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.158333333; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: YIPPEE!!  After a long-ass wait, Gottino has finally opened; and it's a success!  I literally live next store, and for over a year I waited with baited breath to see what would be revealed once the green and white check window coverings were pulled back.  After a few teases and construction delays, they revealed a perfect little wine bar that has been well-received.  I cannot wait until the warm weather returns to hang out in the back patio, but during the cold weather, the bar was just fine.  Maybe the service was a little too good since I woke up the next morning feeling...well...out of sorts.   Go here now!  A great neighborhood starting/ending point.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.147390572; Sentiment_Subjectivity (from 0 to 1): 0.408333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 word: charming.  Too adorable for words, and the food is great too.  I'm over the $5 corkage.  But the fried oysters more than made up for it.  Too bad it's literally on the highway, but you don't notice once you're inside.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.36; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Note: Cash only. Finally made it to Frankie's last night, and this place delivered in a major way.  Perfect place for a cozy, hearty mid-winter meal.  The atmosphere is just perfection with the Edison bulbs, brick walls, smells of deliciousness wafting from all directions, and attentive yet laid-back service.  We split three crostini, and each had a pasta for dinner.  I went for the gnocchi (surprisingly light and fluffy) and she had the tagliatelle special with short ribs (yum).  Totally unashamed to admit that I went for the "house red" wine for an easy $5 a glass...and it didn't disappoint!  Ooh, and the tiramisu was good too! I'll definitely be back.   Who knew Brooklyn was so close?; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.171019345; Sentiment_Subjectivity (from 0 to 1): 0.595089286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was good.  They are small.  Two is probably enough for a normal person, but apparently I require more food.   The menu is incredibly simple (e.g. "egg," "potato," "chicken").  I got two chicken for 8.50.  Spicy and tasty.   I'll probably go back...but not too soon.  I hate working in this neighborhood.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.085; Sentiment_Subjectivity (from 0 to 1): 0.615714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 glad I don't live in Greenpoint (or Brooklyn, for that matter, but that's another story).  Because if I did, I believe my hankering for all things potato, meet and cabbage would result in a Mack-truck-sized spare tire in my tummy region.   Made the trek to Greenpoint last night for some Polish grub, and this place delivered in a major way.  How can you not love a place where: 1) 80s jams are rocking on the radio; 2) "Ugly Betty" is playing on the TV (propped on top of the fridge in the back of the main room); 3) portly Polish moms and grandmoms serve up food and wash dishes in the back while donning house dresses and white hairnet/hat thingys; 4) a Polish dad serves you your grub; 5) streamers hang from the ceiling; 6) deer heads are on the wall; 7) the most expensive item on the menu is $7.50? You can't. You have to love it.  And if those seven selling points haven't sold you yet, this place is BYOB.  Done. If you're new to Polish cuisine, order the Polish Platter.  It's a whopping $7.50, and you get a sampling of all that's Polish.  To. Die. For.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.070126263; Sentiment_Subjectivity (from 0 to 1): 0.45030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate here again last night, and all my first impressions were re-confirmed.  Amazing service, PERFECT space, the best pork chop in the city.  Done, done and done.  Oh, the music's great too.   More on the food.  I could happily eat here multiple times a week, although I'd have to ask for a hefty raise in order to do so.  If the raise came through (and/or I won the lottery), I would commence upon my utter devotion to The Little Owl.  I would start most meals with the meatball sliders.  I'm sure I'd work my way through the rest of the starters with time...and I would love them all.  As already noted, I would also order the pork chop time and time again.  After I got sick of being so predictable, I would also venture into other entrees.  I've tasted the steak and cod so far, and they're both delicious.   And then there's the wine list...oh so tasty.   Make sure to visit Rick James in the loo.  He is the King of Funk, you know... UPDATE: This is my new favorite place for brunch.  Eat, and love, the following: white omelet; poached eggs; cheese grits; home fries with brussel sprouts; their toast with heavenly blueberry jam; and "The Little Owl" cocktail (champagne and fresh grapefruit juice).   Don't judge me for eating bruch here 3 times in 8 days.  It's fine.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.30316945; Sentiment_Subjectivity (from 0 to 1): 0.593373789 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As a lover of the original Cafe Gitane, I had to make my way west to give the little sibling a try.  Well...the bigger and more friendly sibling.  Same menu, but such an upgrade in terms of space.  Light-filled and airy yet cozy at the same time.  Of course I got the Moroccan Couscous with chicken.  Always a good bet.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.0875; Sentiment_Subjectivity (from 0 to 1): 0.527272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a solid five-out-of-five for what it is: an AMAZING meatball restaurant.  This isn't Jean Georges, but this place kicks ass.  From the great/sassy/friendly host, to the very helpful and attentive bar staff (we ate at the bar), this place rocks.   All of the following were amazing: -Beef meatballs with spaghetti and classic tomato sauce -Lamb, mint and raisin meatball with spicy meat sauce (the lamb meatballs were the special of the day) -Spicy pork slider with classic tomato sauce -Chicken slider mushroom sauce -Polenta side -Simple salad -Brownie and mint ice cream sandwich -Chocolate chip and espresso ice cream sandwich -Bottle of syrah We will definitely be back.  No doubt!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.157539683; Sentiment_Subjectivity (from 0 to 1): 0.450992063 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place wasn't perpetually and insanely busy, I'd eat here at least once a week.  I would eat the burger and the jerusalem salad and the gnudi.   I would also be obese.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.083333333; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've lived within a 10-minute walk of this place since 2005, and yet I just tried it. I've been missing out! This place will quickly become a staple for me. Great food, fun service, and totally reasonable pirces. Went recently for dinner with 5 friends...after many pitchers of sangria, starters and a swath of arepas, our total came to $37 a person with tip. If that's not reasonable for a group dinner, I don't know what is! I'll be back...maybe today for lunch.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.19537037; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is very West Village--quaint, good neighborhood/homey atmosphere, well-lit, and busy (but not annoyingly so). The food was good across the board, although it was overpriced. I had the special sweet carrot soup with chick peas, but the small bowl was not worth $8. It was good, though. The duck confit was tasty as well. The dessert menu left a bit to be desired. Nothing jumped out, but I indulged regardless... A good, cute place and I'm sure I'll be back.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.32047619; Sentiment_Subjectivity (from 0 to 1): 0.500687831 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a stronghold on my list of favorites. It epitomizes the atmosphere I love most: very homey and cozy, but light at the same time; casual and neighborly with a refined appeal to it; busy but not loud; very friendly staff. But the food is what really matters most here. Everything we had (three of us) was delectable--down to the Manhattan ordered by a very discerning Manhattan-drinker. We had the tartar and fried oysters to start--both amazing. Do not miss the tempura green beans.  Unique and delicious.  I want to live here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.23604798; Sentiment_Subjectivity (from 0 to 1): 0.571759259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: dreamboat.  what more can i ask for when i have a delicious dinner for two with a huge pitcher of sangria to boot all for $41?  nothing.   mis recommedaciones: spicy chicken; the cuban; shredded beef; spinach a cheese.  and probably everything else...; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.8375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a welcome addition to the neighborhood!  This place has been perfectly renovated from its former self, and it seems like a success story in the making.  The service was very attentive and friendly...from Gabe the owner, Jim the chef, to the cute hostess taking names.  The food was delicious as well.  Started with shrimp and grits and oysters, moved on to steak au poivre and the cod, and finished with caramel pudding and carrot cake.  All around, a great meal!  I'll definitely be back.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.591111111; Sentiment_Subjectivity (from 0 to 1): 0.627777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 may have been the beer-induced hunger that affected my tastebuds, but this burger is seriously amazing.   Overall a great EV bar--nice space, good back area that is presumably open-air once the weather turns, good service.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 serves my favorite kind of food, and they serve it well.  All three kinds of falafel are delicious, as are both types of pita bread (wheat or white).  All the salads are superb as well--I love the tabouli.   It took me far too long to try this place, but since I did, I seem to be here weekly.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.45625; Sentiment_Subjectivity (from 0 to 1): 0.7375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 review only applies to the food, not the ambience-free design and atmosphere.   YUM.  Fried chicken, waffles, mac 'n cheese and sweet tea...what could be better?  The fried chicken was out of this world.   I am now the proud owner of an additional chin.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.075; Sentiment_Subjectivity (from 0 to 1): 0.841666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heart Penelope.  It is everything I wanted it to be.  Adorable place, great service (cute and sassy), and comfort food perfected!  Nice chicken meatball sandwich is a MUST.  Top it off with great company and a couple cute pitchers of Six Point beer and you've got a great night.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.502777778; Sentiment_Subjectivity (from 0 to 1): 0.855555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dreamy.  Hiked to Brooklyn for brunch today, and our trip was well worth while!  I can't recommend the Farmer's Breakfast enough!  Yum yum yum yum yum.  Cute, charming space as well, in an otherwise hum-drum 'hood.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.39375; 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: Had one of the best meals I've had in a long time last night.  A good friend took me out for my birthday, and this dinner was quite the birthday present.  We split the beef carpaccio and seared scallops to start--both were unbelievably good.  And the kitchen split them and plated our portions for us, which is always a nice touch.  She had the arctic char, which she loved; I had the skate, which was to die for.  We also split the brussel sprouts with pears and bacon (!!!!!!).  From start to finish, all the food was so fresh and seasonally-prepared.  Top all this off with a great bottle of red, and fantastic, laid-back service, and this was a memorable evening.  Great space, very open and airy, yet cozy at the same time.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.391666667; Sentiment_Subjectivity (from 0 to 1): 0.538425926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i wish i could always be a lady who lunches, but i can only assume my alterego once weekly. two weeks ago, this lady went to tia pol for a light lunch at the bar.  not only did i have the most wonderful bowl of lentil soup (chock full of chorizo...yum), i had a delicious pork sandwich which was oozing with cheese.  okay, so maybe my lunch wasn't so "light" but whatever.  to top it off, i had a glass of wine recommended by the bar master.  pucho, from the bierzo region of spain.  try it immediately, and fall in love with it.  and then buy a bottle at tinto fino (conveniently owned by one of the gals that owns tia pol).  done.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.468181818; Sentiment_Subjectivity (from 0 to 1): 0.731818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Snack on a weekly basis and it's always the same: spinach pie with a side of eggplant mush. Then a squidgen of lemon followed by a "don't bother me, I'm eating". Round off the experience with a handful of jordan almonds. Truly one of the best meals in soho.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.275 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're coming to Jane for brunch, definitely make a reservation. I've always had great service here, from getting seated immediately to constant coffee refills. The best way to approach brunch is for one person to get the french toast and another to get a salad (the seared ahi tuna is quite tasty). That way you don't feel like a cow after finishing all 4 bricks of french toast goodness. The benedict Johnny (corn cakes and chicken sausage) is also very good. One issue though - the tables are rather close to one another so if you happen to sit next to a 4 top ordering 4 benedicts, you will suffer the wrath of the hollandaise. It's like Sex Panther by Odeon... you know what I'm talking about.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.225151515; Sentiment_Subjectivity (from 0 to 1): 0.389090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: SUNDAY NIGHT BURGER AND BEER... a Six Points IPA, a bacon cheddar special sauce medium rare burger and a mound of perfect shoe string fries... Sunday nights do not get better than this. Except if you top it off with the bread pudding and caramelized bananas, walnuts, rum sauce and caramel chocolate chunk ice cream. Oh man.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.531428571; Sentiment_Subjectivity (from 0 to 1): 0.694285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My boss took me here last year for a birthday lunch. After about 6 plates of delicious pasta and a couple glasses of wine I went back to my office, closed my door and passed out on my desk. Needless to say, it was a great day. My tip: try to starve yourself before coming. Aim for at least 10 hours, if not 24.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.128571429; Sentiment_Subjectivity (from 0 to 1): 0.473809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was delicious. We started with the sea scallop (which had a spicy kick in the sauce that complemented it perfectly), the gnocchi with mushrooms (fantastic texture) and the wild mushroom soup (like a puree of mushrooms, cream and butter... mmm). Then onto the mains: rigatoni with sausage and broccoli rabe, rib eye steak with a twice baked potato and topped with guacamole, and seared salmon... all of which were simple and excellent. I have to say, however, that the best part about the meal was the service. The host and waitress were incredibly nice and attentive and the chef even chatted with us a bit before we left - he asked us a few questions and seemed like he really wanted constructive feedback. All in all a great experience. Two more things: 1. it's a tiny space so make reservations 2. it's an open kitchen so your clothes and your hair will smell like the restaurant for a while.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.587946429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Every ramen place has it's one bowl of awesome. Here it's the Minca Sio with extra pork... trust me, you will be a happy camper. Things to avoid: tasteless gyoza, drinking all the soup and crowded Saturday nights.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yeah yeah, the corn is awesome. But the best reason to go here is to watch everyone else wipe the cheese/butter off the side of their faces  (or better yet, not realizing that it's there in the first place) and then subtly yet pathetically attempt to pick the corn from their teeth. Balenciaga doesn't make dental floss? What a shame.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.526666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oddly enough, it's only good when it's delivered. I've eaten at the restaurant once before and wasn't that impressed. It wasn't until my roommate ordered a pie for delivery that I became obsessed. Those delivery guys must fly to my place - the pizza always arrives hot and crispy. Mushroom, olive and pepperoni has become a Monday night tradition.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321428571; Sentiment_Subjectivity (from 0 to 1): 0.835714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a downtownist. I live downtown, I go out downtown and I begrudgingly go to Times Square every morning so I can make money to do the aforementioned things. I will, however, also make an exception for this magical platter of chicken and rice. Sure it's $6 for the food and $10 for the cab ride home but it's totally worth it. Once I was able to get a driver to take me there and back for the promise of getting him a gyro plate. And that's the power of this food cart.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.167045455; Sentiment_Subjectivity (from 0 to 1): 0.507986111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: An order of roti plus a small chicken rice and you have yourself a kick ass meal for $3. If you're with a group, try the boneless pork spareribs, the pearl nodles or the hainanese chicken. It's all amazing. And so much better than the Little Italy trap that's surrounding it. Finish with the chendol dessert... I'd stay away from the green tea ice cream. My experience with it in the past has has very green results. As in greeeeeeen. You get it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.138611111; Sentiment_Subjectivity (from 0 to 1): 0.571111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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've lived within 3 blocks of this place and never tried it. Still reminiscing about yesterday's pulled pork sammy and freshly blended watermelon juice. The pork had the perfect juiciness, the bread was just hearty enough, great pickled carrots and cucumber slices for crunch, and while I typically hate mayo, the chili-mayo sauce was pretty tasty (I scraped a bit off since the texture bothers me a bit). While they're heavy on things like sauce and cilantro, just scrape it off. I just wish they had a better food expediting system. I was came by during a big rush and about 5 orders behind me got their food before I did, including 1 that I know had ordered my same sandwich plus 5 other items. I guess the bagged orders seemed more daunting and perhaps pushed out accordingly. Coconut shrimp is next (I'm just going to go down the list). And maybe next time I'll just call in the order ahead of time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.104340278; Sentiment_Subjectivity (from 0 to 1): 0.483680556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best. Happy hour. Ever. Where else can you get lychee martinis for $4 until 10pm every day? And the best part is that there's a lychee in every glass, so it's nutritious... or something. Try to get there early and snag the couches in the front. The waitresses are always attentive when you sit there (it's a clear view from the service bar). The spring rolls and coconut rice are delish, but they won't keep you from getting loaded on the drinks. After a recent trip to Verlaine, one of us woke up in Brooklyn and another in the Tribeca Grand. Yeah, it's that good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.511111111; Sentiment_Subjectivity (from 0 to 1): 0.559259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really wanted to like this place. We came here for dinner on a Thursday night - the place was full so that was promising. Shimmied my way into a table about 2 inches on either side from other couples - at least I didn't have to subtle giraffe looking at other people's meals to help me decide what to order. The menu really did look amazing. We ordered the deviled eggs, sauteed foraged mushrooms, escarole and kale salad, the heritage pork main and sauteed nettles on the side. The server was incredibly nice and split the salad and main on 2 plates since we just wanted to try everything. Unfortunately, for the most part, everything was undersalted and unimpressive. The space was super cute and I can imagine it would be good for coffee and breakfast in the morning. Probably not coming back for dinner though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.174074074; Sentiment_Subjectivity (from 0 to 1): 0.524074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: New location = awesome. They even tried to give it ambiance, and still keep that awkward jewelry store in there. Although I have to say it works, I was chowing away at my delicious pork sandwich and thought, maybe I need a jade bangle? Kudos on the place to sit. Now if only they also served shaved ice...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.307272727; Sentiment_Subjectivity (from 0 to 1): 0.890909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 have I not reviewed this? Last year I lived 2 blocks from Ippudo, which could be the best thing about that apartment. My tactic - go to Ippudo at any time during the day and put my name down for the time I want to come back. It totally works and my group and I are only waiting 10 minutes when we get there. Oh yeah, the food. All I can say is kai dama.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.140740741; Sentiment_Subjectivity (from 0 to 1): 0.400925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the happy tasty, the warm and wonderful, a delicious restaurant with lots of vegetarian options. Less abstractly, it's a tiny, tin-ceilinged, ten-seater Greek restaurant,  with a great menu of mezze -- think of it less as a gyro stand, and more as an upscale but homey small plates restaurant. I wish I remembered the names of the dishes better, but there was a cheese and tomato salad that was wonderful; a white bean spread that was savory and delicious, and stuffed peppers as well. It's great for lunch while shopping, but would also be good for a date... though you'd run the risk of your date falling in love with the Baklava.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.478703704; Sentiment_Subjectivity (from 0 to 1): 0.574074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 worked in Ireland and lived in SF's Inner Richmond, so I certainly love a good pub. What I love even more is a good pub that doesn't feel the need to cover its walls in the green plastic shamrocks and other bits of kitsch that ultimately make you feel like you're in Disneyland's version of a Dublin bar. Swift is a handsome pub with a notable beer selection that avoids seeming like a caricature of the real thing and instead just a really attractive instance thereof. Or maybe it's just the candlelight. Nonetheless they have my beloved Bellhaven, and usually at least 4 beers I haven't seen before. On a recent visit my group happily congregated in their church-pew-like benches and had a tasting of some of the more unusual pints. I've only ever been there in the early evening and rather late, so I'm not sure what it would be like when more packed, but it's a great place for a happy hour drink or a post midnight pint.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.643482906 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spinach triangles cannot be beat. The Greek salad is also wonderful. If it's hot out, don't miss the mint lemonade. On a sunny day, have the folks at Snack pack your lunch to go and sit at one of the tables in the nearby park. UPDATE 1/2007: Don't miss the pastitsio!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4375; 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: My doppelganger was born on Christmas Day. As you might imagine, most folks are too busy with their holiday to properly celebrate her birthday. Which is why, this year, my favorite Washingtonian and I took her to Bouley for a proper commemoration. The heady scent of apples greeted us as we stepped inside. The  small bar near the entrance was overwhelmed with patrons waiting for tables to be turned over. Had I been one of the folks assigned to coat check duty I'd have surely lost it, or fainted and fallen to my death on top of an umbrella. Not the Bouley coat clerks, though. Amazingly, they kept their calm. Even after my doppelganger panicked and had to get them go back in the coat room and fetch her i-phone. Once seated, the fun began. My doppelganger and my favorite Washingtonian ordered the wine pairings. I vowed to sip from their glasses. I absolutely loved the: Phyllo Crusted Florida Shrimp, Cape Cod Baby Squid, Scuba Dived Sea Scallop and Sweet Maryland Crabmeat, Ocean Herbal Broth And the highlight of my night was the: Texas Pink Grapefruit Soup infused with Green Cardamon, Star Anise And Tahitian Vanilla with Campari Sugar and Fromage Blanc Sorbet If you're looking for a splurge, special occasion, let's do it up right kind of experience, Bouley is it. Service is impeccable and doesn't end when you leave the table. When my doppelganger asked for the wine pairings, the sommelier took her email address and promised to send them. Guess what showed up in her in-box the next morning? Bouley was a true culinary adventure, the most fun my doppelganger and I have had since the time Thomas Keller invited us into his kitchen at the French Laundry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.269387755; Sentiment_Subjectivity (from 0 to 1): 0.471286848 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stopped in after leaving behind the severely overpriced drinks and other madness at M2 Ultra Lounge (seriously, with the Ultra Lounge? C'mon guys...) And I remembered, I love that Cookshop is my neighborhood watering hole. I exchanged a familiar hello with the barkeep, ordered up a Greyhound and let relaxation set in under the dim lights. Should you be searching for me at the end of the night, there's a good chance I'll be at the bar at Cookshop.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.563095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Shabu-shabu means "swish-swish" but in my mind and my stomach it translates to "happy-happy." If you've got four or more folks in your party you can get a reservation (and trust me me you want one because peeps line up outside of Shabu-Tatsu!) From start to finish this meal was awesome. The pork dumplings, the meat, the veggies, the noodles, the tofu. . .And the little cups for broth at the end: a perfect way to cap off a terrific meal! When are we shabuing again?!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.385416667; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can see why this is my doppelganger's favorite bar! It's charming through and through, from the friendly, laid-back, bar staff with their cute accents, to the patrons with their dogs and motorcycles who seem to co-exist peacefully while drinking Hooegaardens and Boddingtons on the sidewalk out front. Not an ounce of pretension detected here! It's also a great place to view a New York sunset.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.492694805; Sentiment_Subjectivity (from 0 to 1): 0.743506494 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Pinoys holding down Pommes Frites on a Saturday night are consummate professionals. And the fried potato pleasure they put out is perfection. Don't pass on the pomegranate teriyaki, it was the surprise hit of the night despite my patent skepticism!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.422222222; Sentiment_Subjectivity (from 0 to 1): 0.644444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The tahini lime marinated chicken sandwich was seriously lacking in the flavor department. The chicken was dry and bland, not dissimilar to the bread the sandwich was delivered upon. I gave up and ate the salad inside the sandwich with a fork. Thank goodness for the french fries - they were tasty enough to redeem my lunch somewhat. Still, it's unlikely I'll be back anytime soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.251851852; Sentiment_Subjectivity (from 0 to 1): 0.555555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sampled almost everything on the menu but my love is singular and it's for the sugar cured bacon! On my like-very-much list is the Southern breakfast with its creamy grits and crisp fried green tomatoes. Service is hit or miss and the staff would do well to keep careful watch on liquid levels - nothing makes folks grumpier in the morning than a coffee cup in need of a refill!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.11; Sentiment_Subjectivity (from 0 to 1): 0.463333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As we approached the door, one of my two dining companions slowed his pace while a look of skepticism spread over his face. I sped up and planted myself before the host. "Table for three?" And just like that we were seated at a generously sized table. No one was more surprised than the skeptic among us. We began our meal with the massively portioned hot artichoke dip (seriously, there was enough to feed a family!) and a few cocktails before sharing the roasted chicken and many sides. I convinced the boys to share a hot chocolate brownie with me for dessert. I'd been to Freeman's before to eat at the bar but this last visit really solidified the place in my mind. Tasty eats on tables big enough to hold it all, coupled with creative cocktails in an inviting atmosphere make this place worth returning to.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.091666667; Sentiment_Subjectivity (from 0 to 1): 0.548958333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: At just past 7:00 on a Sunday evening, getting a seat at Momofuku Ssäm Bar was as simple as pulling a stool out from under the bar. If you're a fan of the other members of the Momofuku trifecta, you'll immediately recognize the furniture, though it's darker than the blonde wood found in Momofuku and Momofuku Ko. The sliced kampachi with arugula and pickled strawberries was a nice, cool start to our supper. I recognized my beloved pork buns from Momofuku right away and ordered us a pair. Because I firmly believe David Chang can do no wrong when it comes to seasonal vegetables I also asked for the sugar snaps. The feeling was unanimous about this dish being the best of the four we ordered. We finished our meal with the marinated hanger steak ssäm. What little of it I did eat was lovely. Mmm...kimchi puree! But an unfortunate by-product of the summer heat is me losing my appetite. Makes me sad just thinking about it. While I certainly enjoyed my dinner at Momofuku Ssäm Bar, I think my heart will always belong to the original Momofuku. What can I say? Noodles have a way with me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.171953782; Sentiment_Subjectivity (from 0 to 1): 0.615756303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On my last visit to Woorijip  I discovered the soup bar in back. Hello, spicy ramen with egg made to order! Hello much shorter line where I can also pay! You'll find five or so soups on offer ranging from ramen to udon and a stew too. The soup bar at Woorijip is a little bit of heaven on a wintry New York day.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.039772727; Sentiment_Subjectivity (from 0 to 1): 0.244242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 better way to start the night off than with fresh grapefruit margaritas and chips with guacamole and spicy salsa? By seven o'clock this tiny LES den will be at capacity so do like we unknowingly did the other night and arrive fifteen minutes prior.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.135; Sentiment_Subjectivity (from 0 to 1): 0.375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 appreciate the supreme seasonality of Japanese food, you'll love Soba-ya. Sunday afternoon is definitely the time to head to this East Village noodle house. You'll avoid the crowds and you can get the $15 Lunch Box, which is definitely the best deal at Soba-ya. Also, don't miss the: Goma Ae; boiled spinach mixed with sesame sauce Maguro-Don;  fresh tuna or marinated tuna sashimi over rice; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.257142857; 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: Some people want fancy tasting menus under romantic light and while that's nice occasionally, more often I want pork fried and smothered in gravy. If you're in a katsu curry mood, Katsu-Hama will surely satiate. Little to no ambiance here, but seriously, who cares about being wedged into a table next to the heating pipe when the grub's this tasty?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.184895833; Sentiment_Subjectivity (from 0 to 1): 0.594444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Prior to my first visit to The Spotted Pig I was curious as to why Matt would call the Gnudi 'unicorn balls.' But after I ate them, it was clear: these babies are, indeed, magical. If you can manage to snag a table at this West Village gastropub without a major wait, you will most assuredly enjoy yourself!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2265625; Sentiment_Subjectivity (from 0 to 1): 0.527083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After an evening of quizzing concierges on a Midtown patio, and skipping lunch to pick up the keys to my new apartment, I was, shall we say, a wee bit FAMISHED. . . I looked up and saw Burrito Box, recognizing it from one of my earlier searches of food in the area of my temporary residence. There's nothing I like more than a burrito and a beer at the end of a long day. Don't know if Burrito Box has beer. But no matter, I knew I had some in the fridge. When my burrito came out I was confused by its dimensions; an SF-style torpedo this was not. Actually, it was quite squat in stature, like a Campbell's Chunky Soup can, only fatter. I nibbled on the chips on the walk back. Inside, I attacked the burrito and was mostly happy with it. It'd never live up to even a mediocre Mission burrito, but I suspect for New York, Burrito Box's offerings a pretty dang good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.107467532; Sentiment_Subjectivity (from 0 to 1): 0.586363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 will be a line and you will wonder, "Is it worth the wait?" Last night, I hopped on an A train from West 4th and hopped off at High Street. I passed a lacrosse game in progress and watched cars exiting the Brooklyn Bridge. The heat was present but entirely manageable. I met up with a friend who guided me to Grimaldi's. As we queued for our pizza with a line that extended down the block we caught up on his first year of law school, my move from DC to New York and every exciting thing we'd read about food in the past month or so (this passed a lot of time.) The grumpy fellow who makes sure you stay in line pulled us out at some point because we were taking our pizza with us. My soon to be 2L pal went inside to order and I waited out on the sidewalk. After queuing for 30 or so minutes and another half hour for the pizza, our number was called. By then I was reaching the end of my rope. Would this pizza be worth the wait? We took our white paper wrapped dinner down to Fulton Landing, which has a spectacular view of the Brooklyn Bridge and the Manhattan skyline. My mate poured us both a glass of wine from his backpack while I ripped open the package and dug out a slice. The pizza, the wine, the view: perfect! Yes, Grimaldi's is indeed worth the wait, but don't bother queuing for a table inside. Get your pie to go and take it down to Fulton Landing to eat. This experience will stir up an immeasurable amount of local love in your heart. For despite its difficult, surly ways, New York is one of the most spectacular cities on the planet. Pizza at Grimaldi's will remind you of that in a wonderfully sensory way.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.171406926; Sentiment_Subjectivity (from 0 to 1): 0.448082612 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 xiao long bao (soupy buns, if you prefer) at Joe's Shanghai are just a short stroll from Apotheke. If stiff cocktails stir up your appetite, as they often do mine, this proximity could come in handy for you. We were seated immediately, at a table already occupied by six diners. No matter, that's how they do things here (gotta love efficiency!) I did no ordering and left it up to my proficient dining companions who knew what we'd be having before we ever left the bar. Half the fun of eating these soupy buns was trying not to spill the soup. S(he) who spills soup pays the bill. But I must admit, I didn't find the xiao long bao crave-worthy. We also had the baby bok choy and the pork and fried bean curd with jalapenos. All in all, a solid meal but nothing so memorable as to convince me to rush back to Joe's Shanghai.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.118772894; Sentiment_Subjectivity (from 0 to 1): 0.351282051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crave pad Pinto's pad Thai!; 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: Before hitting some galleries in West Chelsea last month we came to The Red Cat for a civilized lunch. The many reviews raving about the tempura green beans persuaded me to snag an order for the table. As usual, yelpers lead me right to menu gold! No heavy batter here, these were light and crispy and especially delightful with the tangy wasabi dipping sauce. My organic chicken was poultry perfection. And even better with a glass of dry white wine (my server picked a pleasant pairing.) I also enjoyed a bite of my companion's fish dish which was quite to my liking with the addition of grapefruit. In need of a proper lunch before browsing art? Look no further than The Red Cat.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.177568922; Sentiment_Subjectivity (from 0 to 1): 0.477318296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Elote, where have you been all my life? When you live in one of the world's most expensive cities you're likely to be even more impressed when you find a true bargain. Cafe Habana's grilled corn on the cob (elote, if you prefer) is one of those rare finds. At brunch this tasty treat, slathered with chili powder, lime and cheese, was just $3.75 for two cobs! Also, Michelada lovers take note: Cafe Habana serves 'em!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.306889205; Sentiment_Subjectivity (from 0 to 1): 0.71875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Abraham Lincoln once sagely said "In the end, it's not the years in your life that count. It's the life in your years." When I count the life in my years, I mostly remember the food I ate and the friends who partook. In 2000, I celebrated my birthday at the Indian Oven in San Francisco yelp.com/biz/indian-oven… In 2001, we ate dim sum on my birthday and the next day departed for a week long holiday in Hawaii. In 2002, a broken heart necessitated French food (which, if you must know, was eaten in a replica Eiffel Tower at Paris Las Vegas) with my BFF and then, a plane ticket to Southeast Asia. In 2003, we had a candlelight vigil outside the Latin tapas restaurant before my birthday party in Berkeley. My pal MJ was sent to Kuwait two months earlier; thankfully he returned home safely yelp.com/biz/fonda-alban… In 2004, I invited my friends 'round for a tea party (and wore a tiara!) yelp.com/biz/the-rotunda… In 2005, I had a series of birthday meals in San Francisco at La Folie yelp.com/biz/la-folie-sa…, Oola yelp.com/biz/oola-restau…  and Campton Place yelp.com/biz/campton-pla…. There was also a birthday brunch on the Embarcadero yelp.com/biz/towns-end-r… In 2006, I had picadillo, one of my favorite Cuban dishes, at my birthday party and even got the pinata I wished for yelp.com/biz/los-flaming… In 2007, I had one last birthday brunch with all of my friends just before I left San Francisco to move to Washington, DC yelp.com/biz/chouchou-sa… In 2008, I marked my first (and only) birthday in DC. Some terrific yelpers threw me a surprise birthday party at my favorite wine bar on Capitol Hill yelp.com/biz/sonoma-rest… and my favorite Washingtonian took me to a special dinner yelp.com/biz/obelisk-was… This year I fêted my birthday as a New Yorker! Eight of us went to the West Village to stuff ourselves silly ordering the tasting menu (and more!) at Hakata Ton Ton. It was absolute heaven for me with free-flowing sake and beer, gyoza, Japanese potato salad, noodles, grilled pork, shabu shabu, Japanese soup risotto (cooked with the shabu shabu soup), cheese mousse and black sesame ice cream. And for good measure, cupcakes (thanks to Chantelle!) Our group stayed for something like four hours that night and we were definitely the loudest in the place. If the folks at Hakata Tonton minded, they never let on. And so, for their graciousness and great food, I dedicate my 2000th review to Hakata Tonton for facilitating such a fabulous birthday fête.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.159880316; Sentiment_Subjectivity (from 0 to 1): 0.508361981 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Part of me thinks I shouldn't even tell you about this place, lest its sparse stools be forever crowded with you lot. But it's probably too late for that anyway. And a certain colleague of mine has been espousing the perils of not sharing lately, so with that in mind: Johny's is terrific. Don't miss the Famous Sloppy Johny -  grilled chicken, bacon, onions, cheese and coleslaw on a hero nor the Melissa Munchie - hot roast beef, sautéed mushrooms, onion rings, and melted mozzarella. Some of the characters here look to be straight out of central casting and the posters hung up around the joint look like they've been there decades longer than I've been alive. If these walls could talk...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.032034632; Sentiment_Subjectivity (from 0 to 1): 0.67012987 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 returned to Perilla last night for a welcome to New York/Pride weekend kickoff dinner. The first order of business, wine, was quickly settled: a bottle of Bodegas Muga Rioja Rosado to share. Our server was spot on with her assessment of my pink pick - dry, full bodied, perfect for a warm summer night - and kept it on ice and refilled our glasses at regular intervals. That our server had the kitchen split our spicy duck meatballs was a nice touch; this appetizer was as terrific as I'd remembered it to be. The broth was especially nice when sopped up with bread. Resisting side dishes is a weakness of mine, I admit, so there was no way I could not order the creamed local corn. Simple though it may have been, we both loved it and polished off every bite along with our entrees. We skipped dessert (with the intention of going in search of the Big Gay Ice Cream Truck) but I probably won't on my next visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.300984848; Sentiment_Subjectivity (from 0 to 1): 0.511097236 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Take your mates to dinner at Udon West and you'll be hard-pressed to not yell out gochiso-sama deshta (translation: it was a feast!) when the meal reaches its conclusion. This nicely priced noodle joint in the East 40s has a lot going for it: - BYOB - Good for groups - Cheap (big bowls of soup for ~$8 and curry/soup sets for ~$12) Though Udon West is casual, the interior is not an afterthought; I liked the dark wood touches and the tables. Our server was a cherubic character that made us all smile. I can't wait to return!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.253125; Sentiment_Subjectivity (from 0 to 1): 0.570833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My experience imbibing wine at the bar with two San Franciscans was pleasurable, due mostly to the company. We went elsewhere for food so no comment there. American Express or cash only. Really, Alta? If only we'd known. . .could've saved the snowy trip to the nearest ATM a block over!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.095833333; Sentiment_Subjectivity (from 0 to 1): 0.5125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Expect to be squished in between folks during Penelope's busy lunch rush. And by squished I mean that the potentiality of having someone almost in your lap/screaming in your ear can be high if you're unlucky in the seating arrangement. Still, slight annoyances are worth the pleasure of eating the BBLT - double bacon, lettuce and tomato with black pepper balsamic mayo on toasted sourdough.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.012261905; Sentiment_Subjectivity (from 0 to 1): 0.318214286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Doesn't hold a candle to my beloved Izakaya Ten in terms of food or ambiance but they did have a corn dog on special and yes, I ordered one! The ramen warmed me up but was fairly forgettable and the TVs on the wall were a turnoff.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.161607143; Sentiment_Subjectivity (from 0 to 1): 0.517857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Four bucks doesn't usually go a long way, but here you'll get two spicy cups of chai and a pair of samosas for that much. Makes an especially splendid afternoon snack when eaten on a nearby stoop with someone you love. A couple evenings ago I got a little lesson: Dil-E means "heart of" so translated this gem is the Heart of Punjab Deli.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2925; 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: On my first visit to Ippudo I had an inclination that it was worthy of five sexy stars. After my dinner there this week, I'm quite certain of that. The impressive cucumber we had last year has now earned a permanent place on the menu and you'd do well to order it. It was every bit as impressive this go 'round as the last. The pork buns and their spicy kick delighted our tongues as we waited for a bowl of Ippudo's one year anniversary special ramen to arrive. But the thing that sealed the deal on this five star joint? The grapefruit shochu cocktail (you squeeze the juice yourself!); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.385822511; Sentiment_Subjectivity (from 0 to 1): 0.60995671 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little Greek place.  Love the meze!  Highly recommend the skordalia (potato garlic puree) and the tzatziki (cucumber yogurt dip).  They also have all the traditional dishes when you think of Greek food - spanakopitakia, spinach pie, pastitsio and mousaka.  Don't forget the Greek desserts - yogurt (with honey, of course), halva and baklava.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0496875; Sentiment_Subjectivity (from 0 to 1): 0.3925 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Having heard great things about this tapas bar, my friend and I decided that we would catch up over some wine and tapas here. Alas, the tapas just don't compare to the lovely plates at places like Casa Mono or Boqueria. For sure, Nai is nowhere near the same league as the aforementioned. Although the dining room only had one table seated when I arrived, I contributed that to our early meeting time. Because, as we were heading out, the dining room was near capacity. Maybe I should have taken the empty tables as a sign when I walked by and canceled my reservation, but I hate scrambling for another dinner option at the last minute. Plus, what's the harm in trying a new place? We opted for a pitcher of blueberry-pomegranate champagne sangria. I appreciated the fact that they have quite a few options that don't use red wine as a base. Not that I don't like red wine, but because it makes me sleepy. The sangria was not overly sweet, slightly tart and quite refreshing. And, since we were dining early, we got the entire pitcher at happy hour prices ($20)! That's probably the only part of the dinner that I enjoyed besides the company. The waiter suggested 2-3 tapas per person, so we figured 5 would be a good number. Pan Tumaca - barely toasted bread with barely a drop of tomato juice topped with serrano ham and manchego cheese. I should've known not to order this when I saw that it was topped with ham and cheese. When I order pan tumaca, I really just want garlicky tomatoes on nicely toasted bread. What a disappointment. Pulpo a la Gallega - octopus with paprika, olive oil and salt. I was looking forward to grilled octopus, but this seemed boiled and tossed in the paprika and oil. It had a mushy texture and some pieces seemed to have this oddly gel-like consistency. Gross! Bacalao Frito - basically fried fish nuggets served with an aioli. Nothing special and the batter was not crispy. Patatas Alioli - potatoes in a garlic alioli sauce. The potatoes were not crisp enough and absorbed all the alioli sauce, which just made it even soggier. Caracoles - escargot in a house sauce. I didn't completely mind this only because the snails came in a really good garlic sauce. I would've liked if more had there been toast to soak up all the sauciness. I made do with bread from the bread basket and sopped up the sauce - no shame! Maybe we ordered wrong, but I can't say that I was impressed with any of the dishes we ordered. And even though I liked the sangria, it wasn't something that would bring me back to this place. I'm guessing that most people come here because the price points are low, but I'd much rather pay more and enjoy my food than cheap out and have a bad dinner. Sorry Nai, I'm going to have to say nay to a next time...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.135266196; Sentiment_Subjectivity (from 0 to 1): 0.518974203 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When your friend is allergic to red meat and chicken and turkey are his only saving grace, you try to find places that specialize in poultry to bring them to. Not long after I bookmarked this place to take him to, he sent me a link saying we had to go try this place. As luck would have it, I found a Gilt City deal. We got two orders of chicken fingers, two sides, two slaws and two drinks for $22 (plus tax). What we got were three small chicken fingers each - his were Wasabi (coated with wasabi and seaweed) and mine were the Bada Bing (stuffed with parm and mozz, topped with marinara, tomato aioli and fried basil), the truffle fries and the fried green beans. I think we had a regular slaw and one that might've had pineapple in it. Either way, they were unmemorable slaws. When we arrived, the place was pretty packed and we were going to take our food to go and eat in the park. But, after waiting 15 minutes, a table opened, so we decided to stay. We were patiently waiting for our food (at this point, it was well over 30 minutes!), but when we realized that the customers that just came in were already getting theirs, I went to the counter to inquire about our order. The place is tiny and the "waitress" who dropped off the new customer's order walked right past us and didn't even ask if we were waiting for food. After I go up to the counter, she says that our food is coming. We wait 10 more minutes. Meanwhile there are countless orders leaving for deliveries. I had noticed a package sitting on the counter from way before I asked about our order. And, when I go to check on our meal a second time, the girl finally realizes that that bag contained our order. I complain that the food would be cold and soggy and she assures me that the food had just come out. At this point, i was just hungry and irritated, so I decide to just eat. As expected, cold soggy fingers and even colder and soggier fries and green beans. Luckily, my friend liked both the chicken fingers. I was mad because had I even tried to take our food back to get fresh orders, they had already run out of fried green beans. Besides, I'm sure they would've probably spit in our food. The Wasabi fingers didn't have enough of a wasabi kick to keep me interested. And, the Bada Bing was a bit boring for me. My favorite part about them were the fried basil leaves. In reality, I couldn't give you an accurate account on any of the food since it was all cold and soggy. Unless they intentionally serve you food this way - then I'll happily tell you that ALL THE FOOD SUCKED! I wouldn't pay full price to eat here and I thought that the Gilt City deal wasn't even worth it! I can't stand any establishment that can't admit to fucking up your order and just pushing sub-par product on you. Even after I told the girl that our orders were indeed soggy, she just shrugged. I really can't see why anyone would pay $7-$12 dollars for these chicken fingers. Realistically, I could probably make these myself at home and get more pieces out of one chicken breast than the three measly fingers they serve you in an order. Thank goodness I didn't pay full price, because I'm certainly never returning here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.054912729; Sentiment_Subjectivity (from 0 to 1): 0.625762417 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has been on my list to try since I started working in FiDi, but every time I went in search of them, they weren't at the spot listed. Not to fret, as recent Yelp reviews revealed that they had moved to the busier Water St. On the one hand, they'll have more customers on Water than on Front, but on the other hand, someone ate up all the collard greens by the time I got there at 12:30pm today! I hadn't even wanted to break for lunch, but my stomach grumbled in protest. As I had recently tried a pretty delicious jerk chicken, I was in the mood for Caribbean food and thought I'd finally try Veronica's. I found them easily, as there was already a line. I was going to try the jerk chicken, but decided on a stew instead. Got the oxtail with rice and peas and pumpkin (yeah, I like carbs...). The oxtail was nice and tender, with minimal amounts of fat. The rice and peas was more like rice with red beans, but they were a nice way to soak up all the oxtail sauce which had already started leaking out of the box. Unfortunately, they gave me plantains instead of pumpkin, but that's fine. They were good. I definitely want to try some of the other stew offerings, as well as the jerk chicken or even the roti goat. Also, I could definitely make a lunch out of just the sides - mac & cheese, potato salad and collard greens sounds like a perfect meal to me... Yeah, I'm a fatty! Also, the fatty me totally doubted that the small was going to fill me up, but the normal me was STUFFED after 2/3 of the order. I can't even imagine the food coma that the people who walk away with the large order get!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.097886905; Sentiment_Subjectivity (from 0 to 1): 0.622063492 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 obsessed with Spain as of late.  There is no rhyme or reason for my obsession.  But, because of this obsession, Casa Mono has been on the top of the to-try list for a while.  Every time I think I'm close to eating there, I cancel, my dining companion cancels, something comes up or the wait is unbearable (if, by chance, we don't have a reservation...). So, on my way over tonight, I was afraid.  Afraid that the world would pull it's deviant tricks and yank me from the chance to have dinner here yet again.  But luckily, my four hot dates all showed up.  We were seated and as there were five of us, we joked that we'd take one of everything - including the wines!  What we ended up with?  This: - Jamón Iberico  - for me, the piece de resistance of the meal.  each tender slice melted in your mouth.  heaven! - Charcuterie de la Casa with Black Truffles - the terrine topped with truffles was good, but the truffles were flavorless.  canned, maybe?  the pan tomate was delicious, as was the ham, but the pork spread was inedible.  it had the texture of the marrow you'd find in chicken bones and was entirely too fatty. - Bacalao Croquetas with Orange Alioli  - these were delicious.  just the right amount of crunchy and soft.  reminded me of brandade de morue.  i wanted to eat these all by myself - forget sharing! - Pumpkin and Goat Cheese Croquetas - nice combination of sweet and savory with either element being to overbearing. - Mussels with Cava and Chorizo  - usually, mussels are disappointing, dry, shriveled things in a bowl.  not here.  they were plump, juicy, flavorful and had the perfect amount of smokiness.  the sauce is not to be wasted either.  get some bread to sop up all that goodness. - Pulpo with Fennel and Grapefruit - the octopus was cooked to perfection.  tender and flavorful and perfectly paired with the fennel and citrus salad. - Fideos with Chorizo and Clams  - i wasn't very impressed with this dish.  i thought it was dry and lacked chorizo flavor.  the noodles were dried onto the clams and i couldn't even tell if there were any clams anyways.  oh, the shells were there, but no clams were to be found. - Skirt Steak with Onion Mermelada - juicy, charred on the outside and pink and juicy on the inside.  the onion marmelade was a perfect accompaniment and i could have eaten it on its own. - Fluke Crudo with Spring Salad - this salad was dressed perfectly and the slices of fluke were great as well. - Asparagus a la Plancha  - grilled asparagus really showed off the spring season.  but, what i really want to know is - what was the mushroom topping?  THAT, my friend, was insanely delicious. For dessert, we shared: - Torta y Helado de Chocolate - cake with chocolate ice cream - Crema Catalana con Buñuelos  - burnt vanilla custard with the most amazing bay donut covered bay leaves.  i could have left the custard, but those buñuelos were great. - Caramel Ice Cream  - two large scoops of ice cream that were very good Combine all this wonderful food with four attractive dinner dates and two bottles of wine and you can see why my obsession with Spain is valid.  Okay, so maybe the tight quarters in this cramped dining room deducts the star, but I can see how the room lends itself to a romantic date.  Regardless, I'll be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.287091394; Sentiment_Subjectivity (from 0 to 1): 0.646284722 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Have been meaning to try this place for forever now and am so happy that I finally got to go! Went for brunch/lunch (their term, not mine) on Saturday and had a delicious meal.  They apparently don't actually do brunch on Saturdays (they should really update their website because I really wanted a warm jelly donut!).  But, they do have "brunch/lunch," which is kinda a combination of their brunch and lunch menus. We stuck with the brunch dishes and they were great.  My friend got the Cookshop scramble - eggs, smoked salmon, caramelized onions, creme fraiche on a biscuit.  It was very good.  The biscuit looked sinful.  I was almost afraid to try it for fear that one bite would not be enough... I got the poached egg on rye with basil salad, roasted tomato and three cheese fondue.  Yum, yum.  The eggs were perfectly cooked.  I hate people who overcook eggs!  So many people overcook poached eggs.  It just ruins the brunch experience... We also got the most ginormous order of spiced fries to share.  I'm a french fry maniac.  I always make room for fries, but this was like the never-ending bowl of french fries.  We kept eating, but the bowl never emptied. It was so nice, because not once did they try to turn our table over and the place was jam packed.  We had a long leisurely meal and chatted.  My coffee was topped off.  Ahhhh.  Love... P.S. We didn't have one, but the salads look delicious and like they will feed an army.  I'm gonna have to try one when I am seriously starving!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.284492754; Sentiment_Subjectivity (from 0 to 1): 0.599855072 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the first milestone review that I was actually aware of, so I saved it for the most delicious dinner I've had in a while.  You, Sakagura, get the coveted spot of #300.  As I've said before on Yelp, I love izakayas and Sakagura has just made its way to the top of my list. My friend wanted to take me out for my birthday and after planning around both of our busy schedules, we finally settled on a date and reservations were made. I know that everyone talks about the "hidden" entrance, but I thought that Sakagura was plenty easy to find.  Just look for the office building.  They have a sign out front, in the main "lobby" and by the doorway of the stairs you go down.  It's not that difficult people!  Follow the signs! The walk down the stairs is a bit creepy, so thank goodness we were together already or I would have been reluctant to go on my own.  I'm not one to venture down into the basement.  Seriously, basements are all dark, dank and creepy. But, this is one basement I wouldn't mind entering over and over again. Imagine my surprise when I walk through the main entrance to find a beautiful, wood filled space.  It reminded me of a small village, albeit a dimly lit village.  Perfect for a date, I noticed.  The long bar on the left glowed with all the bottles of back-lit sake.  It was quite lovely. Our waitress led us to our table in the depths of the restaurant, winding past our fellow diners.  We were seated and placed our order.  My friend is tiny, but she can probably eat on the competitive circuit...  At final count, 10 dishes were ordered and this didn't even include dessert. In order of what we had: Tofu Salad  - a large cube of silky tofu on a bed of romaine lettuce topped with cucumbers, radishes and radish sprouts served with miso dressing.  I love tofu and this salad was delicate but flavorful.  It was a wonderful start to our meal. Uzaku - chilled, broiled eel and sliced cucumber with vinegar dressing,  My friend's pick, so I had a piece and let her finish the rest.  The eel was rich and the vinegar dressing paired well. Maguro Tartar - maguro tuna tartar topped with yuzu-steeped tobiko and caviar.  Now, I love sushi, so I do enjoy most tartars, but the addition of the yuzu-steeped tobiko just made this dish all the more enjoyable.  The pearls of tobiko the burst with yuzu flavor really enhanced this dish. Chawanmushi - steamed egg custard.  One of my favorite comfort foods...  This seemed like a very luxurious version.  It was velvety smooth and had the hidden treasures of shrimp and ginko nuts near the bottom, but what I enjoyed most was the addition of the spicy grated daikon and scallions it was garnished with. Gindara - broiled cod.  Another of my friend's picks that I reserved mainly for her.  I tried some and although the sauce was a tiny bit sweet to me, my friend really enjoyed it. Tsukune - what izakaya trip is complete without the ordering of chicken meatballs?  It's an izakaya standard and these were quite well prepared.  Juicy and tasty, the way they should be! Lotus Root Stuffed Duck - this was on the specials list and was unfortunately one of two disappointing dishes.  The lotus root is pounded into a paste, reminiscent of mochi, but not as glutinous, then stuffed with duck.  It was okay, but the lotus root was bland and the duck was overcooked.  There was no flavor and it was dry for duck...  We had maybe half of this. Mentaiko Onigiri - another izakaya standard.  A bit strange as the mentaiko was not stuffed in the rice ball, but no matter.  These were still very good.  I wondered if I could've ordered these grilled... Yuba Shumai - steamed pork dumplings.  These were the other disappointing dish of the evening.  Pork mixture wrapped with tofu skin.  I love yuba and shumai is always a good thing, but these dumplings were offensive.  The texture of the pork was like sawdust.  I would've ate two of the lotus root-duck this than have any of these.  Again, this dish was not finished. Soba - the last thing before dessert was the cold buckwheat noodles with dipping sauce.  This were cooked perfectly.  I couldn't have asked for a better end to our gut-stuffing meal. Since it was my birthday dinner, my friend insisted on dessert.  We got: Black Sesame Creme Brulee - my pick.  Delicious, creamy, rich.  Each spoonful was like a nibble of heaven.  Too bad dinner was so filling, because I think I might've picked up the bowl and licked it clean - hahahhaha!  I probably had half of it and was really saddened to leave it. Green Tea Ice Cream - I didn't even bother to try this, but I'm sure this was a premium version and not one of those where you can barely taste the green tea flavor. The presentation of all the dishes was impeccable.  As was the service.  Even with two dishes that bombed, it completely deserves my 5 stars. I also ran out of room, so I'm forced to cut my review short...  But, know this, I *HEART* Sakagura!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.152700397; Sentiment_Subjectivity (from 0 to 1): 0.555805115 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hello people - why has no one rated BLUE RIBBON!?!  I was just here for my friend's birthday and can I just say - I could've died after this meal and been content.  It was sooooooo yummy!  I need the mashed potato recipe, Eric and Bruce, please?????  I had the cheese fondue and the strip steak and they were both excellent.  Mooched off my friend's mashed potatoes and was eyeing the catfish across the table from me.  Also, while waiting for friends to arrive, appreciated the terrific looking raw bar.  Let's go eat there right now!  blueribbonrestaurants.com; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.221062271; Sentiment_Subjectivity (from 0 to 1): 0.532875458 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Update 12/04/07: I tried a new sauce - the Vietnamese Pineapple.  At first I was afraid it might be disgustingly sweet, but it was just the right combination of sweet, nutty and spicy.  Yum yum! --------------------------------------------------­--------------------------------------------- By far the BEST Belgian fries in NYC!  A perfect texture of soft cooked potatoes inside and crispy outside, but tender enough for those soggy (blech!) fry fans out there...  They'll even give you a sample just to prove how good the fries really are.  Try any of the sauces that come with it.  The first one's free.  Then, like drugs, you have to pay for the rest.  I love the horseradish mayo and the parmesan peppercorn.  Also try the roasted garlic mayo, the frite sauce (a traditional European mayo) or the especial (frite sauce, ketchup and onions).  www.pommesfrites.ws; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205478896; Sentiment_Subjectivity (from 0 to 1): 0.55034632 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nearly 4pm and I have had nothing all day (unless you count the 1/2 bottle of water I chugged at 11am...). I've been craving an Italian sandwich and recently stumbled upon Pisillo, but I can't tear myself away from work and really don't want to walk over there. Luckily, Pisillo is on Seamless. I ordered the namesake Pisillo Panini and wait. I dread getting one of those paninis you'll find at Cafe Metro or Pax or any of those soup/salad/sandwich chain places all over the city. Luckily, pictures have assured me that I'll be getting my Italian meats on nice, crusty Italian bread. The Pisillo Panini I ordered on white bread (they were out of the semolina - sadness) was so good, I gobbled it all up in 10 minutes. And, by all, I mean half - because no matter how hungry I actually was, that half of the behemoth sandwich that the delivery guy handed over was way, way more than enough! The Pisillo is stuffed with proscuitto de parma, porchetta, bufala mozzarella, roasted peppers, arugula and balsamic dressing. It was perfect! Delicious Italian bread loaded with meats, cheese and all the fixins. Everything tasted fresh, which I appreciated, since the lunch rush had long gone. I've rewrapped the second half of my sandwich for lunch tomorrow. I'm a bit wary of putting it in the shared fridge, but then again, if it goes missing I would get to try another of the tasty sandwiches out of the nearly 30 they offer. I'm already scheming how I can get my group to order lunch together one day soon so that I can try more sandwiches! Seriously - SO EFFING GOOD!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.153255208; Sentiment_Subjectivity (from 0 to 1): 0.389192708 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since I love Frank, I love Supper as well - they're owned by the same people.  Daily specials including daily risotto.  Also a great brunch menu.  Since you're here, check out my review of Frank as well.   supperrestaurant.com; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.345833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know I'm gonna be labeled a blasphemer for giving it only 4 stars, but I've got a good reason... So, after the initial flurry of reviews and RAVES, I knew I had to trek on over for a slice (or three) of the pizza at Artichoke.  For such an accessible food as pizza, I'm surprised that I didn't get myself over to Artichoke sooner, but I hate lines AND I'm just a lazy bum. Finally one Friday, I decided that I must have it.  I made a mental date with myself to go and try the pizza.  It just so happens that my friend wanted to hang out that night and so we decided to grab a drink and a snack before I got my pizza on.  It meant that I had to wait a few more hours, but I figured that I'd be able to avoid the crowds, so I went along with her.  I ended up dragging her with me to Artichoke... By the time we got there, it was a little after 10pm.  There were about a dozen people in line ahead of us and I figured, not bad.  It ended up moving slower than I'd like.  I think they had just run out.  (At some point, Michael F walked by and assured me my wait would not be in vain, so I stayed.  Not like I was going to leave anyways...  My mind was set on eating this pizza that night!)  So, after 20 minutes, fresh pies came out the the line started moving.  One of the two guys in front of us gave up and left.  What a fool!  No more than 3 minutes later, his friend had placed and received his order and was smiling as he walked away. So, that meant it was then our turn!  Yay!  My friend ordered a Special and a Sicilian, which is what I told her I'd order.  At the last minute, I changed my mind and went for the trifecta - one slice each of the Special, the Sicilian and the Neopolitan.  I figured, what if I hated them, then I'd either have to get back on line for a Neopolitan or come back another time for it.  No way!  Since it was a nice night, we took our slices a few doors down and stood there to enjoy our fresh out of the oven pizza. I started with the Sicilian and boy was it delicious!  Seriously, I'd never met a Sicilian slice I'd LIKED, until then.  It was simple and lovely.  A bit on the greasy side from the amount of cheese on the slice, but I've got no complaints on anything that has too much cheese...  This is HEAVEN.  You know that part in Ratatouille where Remy combines the cheese and the strawberry in one bite?  The feeling of joy and pleasure he felt?  That was me... Hard as it was, after the second bite, I tore myself away from the Sicilian and started in on the Special.  It was just what I thought it would be.  A rich, decadent slice.  I love spinach, artichokes and cheese and anything resembling spinach artichoke dip, so this slice was good.  But, after the third bite, it was just TOO rich.  I think we would've been happier just sharing a slice of this instead.  Those who can finish one, let alone two or more of these is a CHAMP.  An artery-clogged, heart-attack-waiting-to-happen CHAMP, but a CHAMP nonetheless. Finally, I took a bite of my Neopolitan.  It had cooled a bit by now, but it still tasted good.  Unfortunately, I got one of those dreaded thicker slices of these.  Not a good impression.  I like my Neos to be thin, not thick and chewy. So, the final verdict of the night was that the Sicilian here is GOD!  I'd buy an entire pie of the Sicilian and wolf it down myself.  God forbid you reach in for a slice, I'd bite your hand off!  And, this coming from a girl who has never in her life eaten more than two slices (of any sized pizza) in a sitting is pretty amazing.  By the way, I know what you're thinking - I didn't finish any of the slices that night except for the Sicilian.  I left the bite-ridden Special and Neo slices and took them home.  Hey, they were pretty good heated up the next day, even! Anyways, the chewy Neo already bounces it down half a star, but the real affront to my tastebuds was this past Friday.  In the pouring rain, loaded down with groceries for a party I was catering, I stopped in here for two slices of Sicilian.  Hey, I knew one wasn't going to be enough!  I knew after the last bite of one, I'd be craving another, so two it was.  And, I figured I'd give the Neo another chance, so here I was walking out with three slices again! This my dear friends is where I am appalled!  APPALLED!  and disappointed...  With every bite of my Sicilian, I encountered a mouth full of grit!  GRIT!  Please, wash your BASIL!  Is it really that difficult?  I was deeply saddened.  Took a bite of the Neo - same thing.  (Although, I must say that this time is was a thin crust slice to my liking, save for the dirt...)  My two slices of Sicilian had come from two different pies and so I was hoping for a grit free final slice.  Alas, it just was not my day.  Good bye three slice of dirt - I cannot eat you. So, even with the minus two star experience of gritty dirt, why am I still giving Artichoke 4 stars?  Because people, the original Sicilian slice experience was THAT AWESOME!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.09556122; Sentiment_Subjectivity (from 0 to 1): 0.543163781 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cha-An is perpetually packed with groups of ladies and couples on dates.  Yes, randomly, you will find a group of friends, but usually not so.  I've always had luck in scoring a table right away.  Good timing, I guess... Although food is served, we always come for the tea and desserts.  The last time i came here, we had just finished dinner at Ippudo and since my friend was not tempted by the dessert selection there, I suggested we go elsewhere.  So, off we went, chatting all the way over here. I had already decided on my way over that I was getting the azuki toast a la mode, so all that was left to decide on was the tea.  I was going to go for a cooling, cold matcha concoction, but ended up deciding on the jasmine pearls tea.  Two of my favorite things - woohoo! My friend ended up ordering the same dessert and although she dislikes red bean paste, she loved the azuki on her toast.  She ended up picking the dragon pearls tea.  We sat and talked for what seemed like forever and it was, because when I finally looked at my watch it was past closing time. No words to rush us out were ever uttered.  In fact, they asked if we wanted yet another refill on our tea.  We politely declined and asked for the check, breathing a sigh of relief knowing that we weren't going to be the ones to keep them there even later than it already was.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.069047619; Sentiment_Subjectivity (from 0 to 1): 0.421825397 [/INST] Not Spam</s>