Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Get your glass of wine and go shopping! Great concept, great food and delicious things to but! Eataly is casual and fun!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.495; Sentiment_Subjectivity (from 0 to 1): 0.713333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: not too bad... i came here for lunch with my friend because it was freezing and we were both craving soup. we both ended up getting the lobster bisque and half a sandwich deal, except i got the large and she got the small. it was only a dollar difference, and being the greedy glut that i am, i opted for the large and paid $7.09. i have definitely had better lobster bisque before, but it wasn't so bad either. because i was so hungry, i actually scarfed down my meal in less than 5 minutes. the only thing that kind of bothered my taste buds was the use of shrimp in the bisque. i didn't like the shrimpy-taste that it had to it...or was it the taste of lobster that was overcooked? i'm not sure. either way, i was happy for getting the amount of food for that price. plus, six hours later i'm still not hungry, which is always a good thing. also, i was pleasantly surprised when i found an apple in my bread bag!!! i was so genuinely happy.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.081749752; Sentiment_Subjectivity (from 0 to 1): 0.575079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ordered an Old Fashioned and got basically a whiskey KoolAid. When I asked for a proper drink aka a whiskey on the rocks, I was told I could not get the Old Fashioned off the tab, even though I clearly did not like it and had barely drank a sip of it. A $12 drink that tastes like a bottom shelf whiskey. Basic bad; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.05; Sentiment_Subjectivity (from 0 to 1): 0.253571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Biana was a very solid, affordable Italian restaurant. I was very satisfied with my meal. There was about a 15 minute wait when we went. However, the host told us that we could simply sit in the bar next door and he would come and get us. This was very convenient. We weren't finished with out drinks when the host came to get us, but they said that we could bring our drinks with us to the restaurant! The two appetizers we had were very lackluster. The flavors and portion sizes were disappointing. The entrees were all very delicious and only cost $10-13. Most Italian restaurants charge about $20 for barely mediocre food. At Biana, the food and prices are better! All five of us loved our entrees. The desserts were also very delicious. So, my recommendation would be to skip the appetizers, but indulge in the entrees and desserts. The main problem with Biana was that we were seated in a a corner that seemed to have some kind of bug problem. We never saw any bugs. But my whole party got a bunch of bug bites on our legs! I know they weren't mosquito bites because they are still on my legs five days later. They look and feel like flea bites or something. We told the host as we left, and it seems that no one else has ever said anything to him about this problem before. But it was definitely a big problem!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.220075758; Sentiment_Subjectivity (from 0 to 1): 0.469112554 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Atmosphere: Love the chic glowing red interior! It's not too loud here, so we were able to chat pretty comfortably. Overall it feels chill and urban in an upscale way. Service: Amiable (& cute) servers, loved them! The three of us had to wait 30 minutes for a table, and when we finally got in, they gave us the biggest table in the back, which seats seven! LOL! So we recruited some more friends to join us and had a good night of it. Food: We ordered a Camembert cheese plate, which came with a bunch of other little things (grapes, candied walnuts, apple slices, a strawberry, honey, apricot jam; see picture) and a sack of bread. Everything was delicious, would definitely recommend. Drink: According to my friend, a self-described expert in judging wine glasses, the glasses here are high quality because there's a high-pitched, prolonged ringing when you flick it with your finger. Nice. It can be a little awkward drinking wine out of a glass as big as your face, though. (It'd be nice if they had narrower glasses for white wine, but it's not a big deal.) Bonus points for having a spacious and beautifully spotless bathroom.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.260555556; Sentiment_Subjectivity (from 0 to 1): 0.564444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little gem in the midtown east neighborhood.  i've walked past sofia's over a dozen times, staring in awe at the colorful lights that are hung year round, but never had a chance to go in until yesterday. as i expected, the place is very small.  you can call it quaint or cozy, but it is very small and they don't take reservations.  there is also no waiting area so as you're hovering over other diners, it can get uncomfortable waiting for a table .  in other words, you'll want to race there from your midtown office in order to get a table.  i also overheard that they do not accommodate parties larger than 4. so, i got to sofia's around 6pm and snagged a table for 2.  the sweet riesling that i found on their menu brought back memories of when i first discovered this light white wine.  my friend and i also got their special pancetta pizza of the day.  the thin crust was right up my alley and after a few slices, i was disappointed that i didn't have any room left to try any of their other delectable small plates. i'm looking forward to returning again for another after work drink/light meal with a friend.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.084785714; Sentiment_Subjectivity (from 0 to 1): 0.450219048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here the other day. It was nothing special to me. Ordered the down by law. It was good but nothing I never had before. We also had ordered the atomic balls and Brussel sprouts empanadas which came after my meal.. didn't think neither was that great either. Went on a Tuesday, placed got packed and they only had one waiter working all tables and the bar. Now I know why theres always a line out the door. Maybe they should consider hiring more people. Don't waste your time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.234573413; Sentiment_Subjectivity (from 0 to 1): 0.510664683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here on Sunday for brunch with a friend. It was pretty easy to get a reservation for 2 (we called on Friday, 2 days before we went). We were seated quickly and our server came to our table immediately. I was pleasantly surprised by the bread. I think it was foccacia with lemon olive oil drizzled on top. I typically associate foccacia with being on the saltier side and a savory bread (which I like), so this shocked my palette -in a good way. The food came out as I finished my last bite of bread (very fast). I had the Uovos Modenesa. I always order Eggs Benedict whenever i got for brunch, and found that this was a really great  version of this traditional dish. The Uovos Modenese comes with cottechino hash, spinach, and tomato hollandaise - DELICIOUS. Other notes: -Love the hustle and bustle of the place. -Definitely a family friend place for brunch - as I saw many families and young children. -Even though we were seated quickly, found the hostess to be a little rude. I'll definitely be back!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.196856061; Sentiment_Subjectivity (from 0 to 1): 0.588863636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 eating at Taqueria Diana since the first week they opened. The food can be fantastic - at their best, the chicken tacos are juicy and flavorful, the tortillas taste fresh, and the nachos...ohhhh the nachos.  (Huge, salty, delicious.) And the service can be great, too.  The poor staff works in a tiny space with their backs to the (open?) flames of the stove, sweating buckets (not exactly hygienic when they're boxing up your food), but are nonetheless usually in good spirits. I live relatively close, too, so will often call in and pick up.  It gets busy, so it can be a bit of a wait, but usually reasonable. Last night was a different story.  Coming back from a weekend trip, my boyfriend and I decided to call in for delivery on our way into the city.  Budgeting about 45 minutes for delivery, we called at 8:11pm and placed our order with a woman who, somewhat snippily, kept interrupting me, getting my name wrong, and accidentally deleting my credit card number so I had to repeat it a few times.  Whatever, no big deal, she ended the call with "That'll be right out."  ***Let the record show, there was no mention of a long wait time.*** 8:47 rolls around and I decide to call to check on my order.  A guy picks up and says my order is ready, but their ONE delivery guy is out and they can't get in touch with him because he doesn't answer his phone (good for him, by the way - biking + talking on the phone = disaster).  The person estimates it'll be another 15-20 minutes.  At 9:17, I call again, and get the woman again, who proceeds to berate me on the phone.  I ask if I can speak to someone else - she says she's the manager.  I say oh great, well then you'll want to hear what I have to say.  I tell her I've been a loyal customer since week 1, that I love their food, and that they should consider  hiring MORE THAN ONE DELIVERY GUY on SUNDAY NIGHTS, when practically EVERYONE is ORDERING IN.  She claims it's the owner's problem, not hers.  Fine, fair enough, but her job is to field customer feedback.  She gets extremely defensive, keeps asking me to listen to her (I do), and consistently interrupts me when I try to say my piece. I call for the final time at 9:39 saying I'd like a refund, knowing that my food was ready nearly an hour ago and is surely not anywhere close to the delicious state I'm used to.  She tells me okay then, when the food arrives, you can tell him you don't want it, but I don't know what to do about your credit card because (insert some incomprehensible mumbling).  Excuse me, what?  You don't know how to give me a refund?  And you're the manager?   Something isn't right with the ownership at Taqueria Diana.  If you're listening, owner, PLEASE do better.  I've noticed there's been plenty of turnover at your restaurant in the past several months - perhaps if you treated your staff better, and hired more delivery men on high-volume days, you'd find yourself in a happier place.  As it stands, you're losing customers because of the short-sighted corners you're cutting.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.208155844; Sentiment_Subjectivity (from 0 to 1): 0.532873016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 100% dreamy. cozy, inviting, like they want you to linger forever. Lovely food, the frisee salad was completely perfect in every way and I could have eaten it all night long. Prices are very reasonable to boot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.315; Sentiment_Subjectivity (from 0 to 1): 0.736 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awful service. The place was empty and we waited 15 minutes for someone to even take our order and then it took nearly an hour for the food to come out. AGAIN there were only 2 other tables I'm the entires place and the waitress didn't seem to care at all. As a waitress myself I try to give credit, but I could not here. Fortunately the burgers were good so that's why I'm giving 2 stars; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.003571429; Sentiment_Subjectivity (from 0 to 1): 0.653571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can only say that their product is utterly forgettable and maybe borderline outraging given all the unwarranted praise heaped upon this dump.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.25; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Walked through Chinatown on a wet and drizzly day to get pipping hot pizza in my belly. The second I had my first bite though, I swear the clouds parted and made way for a beautiful sunny afternoon. // LOCATION // A short walk from the heart of Chinatown in what is left of Little Italy. Across the street from the ever-so-popular Rice to Riches. // AMBIANCE // Loud and bustling. The restaurant has a main dining room and then what appears to be a newer addition to the restaurant to accomodate more people. // WAIT // No wait for 2 people at 2 pm on a Thursday afternoon. Granted this may be because it was past lunch time on a weekday. // FOOD // A standard pie with meatballs, mushroom, and garlic spinach. The real winner was the spinach. This was definitely an ingredient missing from my pizza when I visited Grimaldi's the day after. It provided all this veggie goodness and gave me the false pretense of a healthy meal. The meatballs were a winner as well. After trying both Lombardi's and Grimaldi's, Lombardi's is definitely the winner in my book and the wait is much more reasonable as well.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.113293651; Sentiment_Subjectivity (from 0 to 1): 0.41984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only soup dumplings place in NY I have been to, so I have nothing to compare this place to. Nonetheless, Joe's Shanghai soup dumplings are truly amazing. They are so juicy, meaty and rich in flavor! The pan fried noodles is quite good as well. Yet there are some complaints I have against this place. Firstly, I don't understand their mandatory 15% tip policy. Maybe it's because they get a lot of large group customers, but it's still annoying. Another thing is that they didn't fill the bottom of the dumpling case with enough cabbages the most recent time I visited, so many of the dumplings got stuck to the bottom and exploded when I tried to pick them up. Lastly, the wait can be ludicrously long, especially during weekends. There is no doubt this is one of the better places to dine at in Chinatown, but I don't think it's worth an hour long wait. For these reasons, I am withholding from giving this place more stars.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.201835317; Sentiment_Subjectivity (from 0 to 1): 0.534920635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Friend took me here while I was in NYC; in fact we returned several times. Ordered the wonton dumpling and it was unlike anything I've ever had before. This dumpling actually have a very tasty meat and liquid - served within a bamboo steam basket on a blanket of shredded lettuce. Also tried the slightly spicy squid, which was tasty too. Very busy place, full of people. Bathrooms to the rear on the right, passing storage rooms and waiting among boxes of foodstuff. Each toilet is one person only so if door is locked, just wait. Unless you're with a big group and get a big "party" round table for yourselves, you'll be seated at a big table possibly, and then others will be seated with you also as they arrive. Restaurant area very clean - past that it's like almost any other asian restaurant. Fast service!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.048283208; Sentiment_Subjectivity (from 0 to 1): 0.361967419 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Talk about an instantaneous spark. Unlike some places that require some time before you can make up your mind about whether you're vibing with it or not, I immediately vibed with this place. Everyone there was obviously having a great time - enjoying conversation with colleagues/friends. The jovial disposition of the ambiance certainly rubs off, and when mixed in with a drinks? A great time. My friend and I agreed with the fact that the place reminded us of Chicago. We couldn't put our fingers on exactly why. Perhaps it was the old-Americana feel about it, or the aforementioned joviality that was reminiscent of midwestern friendliness. Extremely nice, but unpretentious. Delicious drinks. Not too crowded, just the right size of a crowd (I went on a Thursday night). Music that makes you feel warm inside (James Brown and the like were playing). Love it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.396428571; Sentiment_Subjectivity (from 0 to 1): 0.564795918 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 your typical Texas barbecue joint, or what I imagine one to be. A bit loud, and at least 7 TV's tuned to sports. Supposedly anything with Creekstone Farms listed on the menu is halal, and they have pretty good sides with all the meals. The mac and cheese is good, but not the "best I've ever had" as some people are claiming.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326190476; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had the coffee steak, which was one of the specials of the night. The steak itself tasted a bit plain, which made me have to dip a lot more of the sauce that was provided with the dish. My girlfriend had the Bacalao. She liked it, but said it wasn't better than this other place that she's had before. The drinks we had were white sangria and pineapple margarita. They are a bit strong, but good. The service we had was great. Waitresses and others were attentive and very polite. We would come back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.316170635; Sentiment_Subjectivity (from 0 to 1): 0.484623016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch I've had in ages. I got a head-start on one of my 2013 resolutions, which is to eat in other burroughs more often, and it was splendid. Brooklyn Star is across the street from the Lorimer St stop off the L train, which makes it a cinch to find. Word to the wise - get there when they open at noon, so you don't have to wait, and can start your delicious feast earlier. I opted for the chicken and waffles, which blew me away. Chicken is perfectly crispy, as are the waffles - there's also a hint of lemon in the waffle batter, which was the shiz. A surprise treat that accompanied my meal was a fresh half grapefruit that is glossed with a coat of hardened sugar (think the topping on creme brule). Heaven. I'll be back as soon as I'm able.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.289444444; Sentiment_Subjectivity (from 0 to 1): 0.617777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went on a Sunday morning at 11.  No line, pretty empty.  I didn't have much of an expectation and it turns out, the burger was just okay.  The bun was soft. Waitress was very friendly and offered us many useful suggestions.  I got the truffle burger and my companion the original. We also got cheesy tots and a side order of fries. Nothing I had was anything I would go back for, let alone wait an hour or two on line for. The most horrible part of the meal was the Goodwich ice cream sandwich.  What a waste of money for $8. After $60 spent on a burger meal, I wouldn't go back. I'd rather have Shake Shack for $10 which includes a burger and fries.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.08203125; Sentiment_Subjectivity (from 0 to 1): 0.440625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Though it was rare for me to ever leave Manhattan, my best friend suggested this place as he had been there with friends and they had one of our favorite wines on their list (which has become hard to find once it got a really good rating). So, we went. And I loved it. Ever since then it has been our go to "friend night" place. So much so that last week when I was back visiting the city (sadly, I moved to the other coast back in December) we made the trek all the way out to Il Bambino for our one dinner that we got to spend together. We love: honey, rosemary olive oil and goat cheese crostini (I've even gone so far as to create my own version at home), chicken/mozz/spicy mayo panini, 4 cheese/truffle oil panini (we add mushrooms), the lemon aoili and the spicy mayo are awesome, and the chocolate cake (we refer to it as slutty cake) is sinful. Please go check this place out. The prices are reasonable, the food is good, service has always been friendly and its just an all-around good place to visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326587302; Sentiment_Subjectivity (from 0 to 1): 0.575396825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was worried that Minetta might be  a hipster hang out which is one reason I have stayed away until now. A hipster hang out translates to me to be  a place with a lot of hype  with no originality that is hot for no reason what so ever. But Minetta is popular for a good reason. The food is good and the menu is unique. I live in NY so I am well aware of the reputation of Keith McNally. Keith McNally has opened these restaurants: Odeon (in Tribeca), Cafe Luxembourg (Upper West Side), Lucky Strike, Nell's, Pravda (SoHo), Balthazar (SoHo), Pastis (Meatpacking District), Schiller's (Lower East Side), Morandi (West Village), Minetta Tavern (West Village), and Pulino's (Lower East Side). I was going to go for brunch for my birthday to Balthazar, but after going to the bakery and peeking into the restaurant and seeing how small and cramped the tables were I was put off. Plus 3 hours before closing the bakery was out of just about everything. We had brunch  at Minetta Tavern and I was delighted to find unique items on the menu that are not on the menu of every other brunch place in the city. There were tourists on either side of us. The tables were cramped togther and I could tell the tourists were not too happy or used to it. Their brunch cocktails were not to my liking so I did not order any. I am not  a  big drinker and I  like fruity, girly  drinks. So there was nothing for girly girls like me that I saw. But the food more than made up for it. I was a bit disappointed that it was so cramped which is why I didn't want to go to Balthazar. In my opinion it is a bit disrespectful to the customers to cram every body in just to make money. Give us some breathing room! The tables were bigger than Balthazar though. The bathrooms were really cramped. It was a little too expensive to be so cramped. I tend to be easy on wait staff as I know it is  a hard job. So I won't get into service. I have read on many reviews not just at Yelp but in searching for reviews across the board everyone says it is noisy. We did not find it to be too noisy ,just the regular noise level of any popular city restaurant. About the food, First my husband and I share everything so we can both taste whatever we both order. He ordered the famous Black Label burger. To tell you the truth it was just okay. Neither of us thought it was the best or even close to the best burger we have had. I have not reviewed burger places since after getting cancer I just don't go out for burgers much any more. I have not gone out for burgers in the past 2 years. But he does all the time and if  he had a Yelp account which he doesn't have time to have he would be able to make a burger list. We both thought the burger though had  good quality meat for sure was not as tasty or meaty as we had hoped. It looks better than it is. The bread was just okay. Not hot or soft. The best bread in a meal we have had in NYC was at Peasant. The omelet was very  fresh! The market omelet changes according to what is in season. It had asparagus, Morel mushrooms ,spinach and Gruyere cheese. The taste was very refined and the ingredients the freshest I have had in an omelet in NYC. But it was not bursting with flavor. Great and high quality but not very flavorful. There are several brunch items that I am interested in and would like to go back at some point and try them. I thought the fries were the best I have had in the city in years. They were crisp and salty. I crave salt and this full filled my craving! We both thought the cake was worthy of the trip in itself. I know it is not known for it's coconut cake but it was fresh with shaved coconut and creme fraiche. It was really the best cake we have had in NYC in years and years! I do no think it has to be on every tourists list to the city. The cake was outstanding! The fries were great! I would come back just for the fries and cake. My favorite fries  to date. But with the cramped space both at the tables and  on the way to the bathroom and in the bathrooms, it does not make for  a perfect package. I give it 4 stars for being unique and having high quality food but it does not rank a 5 in my opinion especially not for the price.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.325890152; Sentiment_Subjectivity (from 0 to 1): 0.556065862 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very nice addition to the Astoria/LIC/Dutch Kills restaurant scene.  The Guacamole was top-notch and very fresh - the chips were good, hot and salty (wonderful).  They have some spicy salsas and they are good and smoky.   The tacos are very good.  I had the steak and chicken tacos and both were wonderful. Great service, beautiful space, reasonable rates. Highly recommended.  I just hope they get a liquor license - margaritas would make the meal even better.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.576; Sentiment_Subjectivity (from 0 to 1): 0.788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Becco gets 4 stars in my book for being well set up for dinner after a show. They are ready to spin it up again at 10:30 when the crowds start to arrive. The 3 pasta deal is great with antipasti or salad and all you can eat of 3 special pastas of the day.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.452380952; Sentiment_Subjectivity (from 0 to 1): 0.607142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 could add to the positive patter here instead I'll focus on the place's nice wine list and the bacon-wrapped dates.  Once more: bacon-wrapped dates.  I had four tapas, including them, and everything was faultless.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.581818182; Sentiment_Subjectivity (from 0 to 1): 0.761363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bf and I came here last night after finding ourselves in the area and Yelping.  I can't say that we were misled.  Apparently, this place received a 27 for food this year from Zagat! Neither of us had eaten yakitori before - and we may not in the near future, but it was fun.  The trek up to the second floor into the hot and smoke-filled restaurant makes you feel like you're no longer in the city - not to mention that the waiters seemed to speak very little English. The Japanese vodkas a fun to try (potato, barley, rice) if you're a liquor drinker in the mood for something slightly different. Now for the food: Tuna sashimi - I would like to give this ten stars!  We were wary of getting raw tuna in a place known for bbqed meat, but this tuna was pretty much the most delicious, high-quality tuna i've ever had!  clearly, the restaurant uses high-quality ingredients and prepares them well. asparagus wrapped in bacon - the other winner of the night.  perfect pairing of asparagus pieces snuggled in bacon *fat* really.  i normally cringe at the taste of fat, but this was delicious, the salty fat balancing the sweet greens.  yum.  my guess is that the mushroom version would also be delicious. some chick breast yakitori - ok.  unusual sour sauce.  very good chicken breast and well cooked, but would not get again. skirt steak - eh.  tasted like bbq skirt steak.  would rather have that cut up in a wich with some cheese wiz. scallops - disgusting!!!  this dish was terrible enough to almost warrant a downgrade to three stars.  tasted like liquid smoke - or rather, lighter fluid, perhaps the lighter fluid used on the grill?  absolutely repulsive.  these were left untouched. overall, the service was lovely, the place was unique, the food was a culinary adventure with some winners and losers, the place is pricey but not overly so (enough food for dinner at ~$30/pp).   i'd recommend this place for afterwork drinks and apps (the top two) rather than for a full dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.131477843; Sentiment_Subjectivity (from 0 to 1): 0.495468227 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We had lunch at Rubirosa based on a recommendation from my nephew who lives in NYC.  He insisted that if we wanted to eat New York pizza then we needed to go to Rubirosa.  We arrived at the restaurant around 11:30am and we were able to get a table for 5 immediately.  The server was pleasant and attentive.  We ordered the caprese, calamari and a supreme pizza.  All three dishes were FABULOUS!  Many restaurants don't get calamari right...but Rubirosa's calamari was perfect!  The pizza was thin crust with pepperoni, sausage, cheese and garlic.  So delicious!  If ever in NYC again, Rubirosa will be a definite stop for lunch or dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.436969697; Sentiment_Subjectivity (from 0 to 1): 0.779621212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I were looking for a place to eat lunch and so we took a shot with this place and boy were we happy. Their lunch specials are incredibible. Everything under $10 for platter and for personal pizzas. I highly suggest the pizzas. They have options for all kinds of meets and veggies. The ground lamb and beef pizza was too good to be true. My friend had the platter with chicken and it was also just as good as the pizza. You get hummus, salad, your choice of protein or veg. and babaganoush with rice- you really can't beat that for what you're paying. The meal was so good, we decided to get dessert. too. The crepe was sooo tasty and was a perfect way to end out meal. The best part was that after all that food, I didn't feel heavy or full. I am definitely coming back here again for dinner. You gotta try this place out!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.344; Sentiment_Subjectivity (from 0 to 1): 0.552666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good for your buck food from a food vendor. My boyfriend and I split a mixed gyro and chicken over rice. Cost us $6.00!  Wahoo! 6 bucks for dinner for 2 :)  We were both satisfied afterwards too. White sauce was pretty good.  Wasn't greasy as others have said. The only thing I don't get is that there were two Halal Carts across from each other but one had a line and the other didn't.  It looked like they were exactly the same?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.131730769; Sentiment_Subjectivity (from 0 to 1): 0.578846154 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Slip in the narrow corridor of this West Village restaurant and you really don't know what to expect. Especially for the troubling fact that we went there for dinner for a place that literally means "lunch box" in Thai. We were diverted to this tight quartered restaurant on the recommendation my Manhattanite chum to make up for the flat experience from the restaurant we went to the night before. So, instead of rambling about the physical aspects of the space which I usually first to write to set the backdrop of this review, let me just recommend for you to give Pinto a shot. I know this proabably won't be helpful in choosing a specific dish on the menu but, I'd say you can safely take your chances by simply ordering away.  Normally, whenever I go to a Thai restaurant I stay on familair ground. Indeed, its quite boring, but I know that I won't be sarcastically lambasting the food and the restaurant to everyone I know. To engender a new experience and change it up a little (or a lot), we did a shotgun approach to ordering. I'd say just about all of the food that hit our table and down our digestive tract was great to better than average. The prices are decent and the staff are a tad docile, but attentive and orderly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.060320166; Sentiment_Subjectivity (from 0 to 1): 0.478957431 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, even better service, owner came to our table and gave us three free burgers to take home and got some free desert!  Good stuff; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.56; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great ambience yummy food :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A comida é realmente muito boa e e os pratos deste restaurante chegam a servir 5 pessoas! Isso mesmo: 5 pessoas! Extremamente fartos e bem preparados. A carta de vinhos é ótima também. Os "appetizers" também são gigantes e sugiro que peça para dividir com a mesa toda. O ponto negativo é o atendimento. Sei que nos EUA a pressa de atender é grande, mas neste local especificamente passaram dos limites. Enquanto ainda não tínhamos acabado de comer, tiraram os nossos pratos. O garçom que nos atendeu foi extremamente grosso e tudo que ele ia trazendo na mesa, ele jogava. Quando trouxe a conta e pagamos em dinheiro, ele não voltava nunca com o troco e havia presumido que iríamos deixar tudo de gorjeta pra ele. Estávamos em 6 pessoas e ninguém da mesa achou justo deixar mais do que 10% devido ao péssimo atendimento que tivemos. A comida valeu muito a pena e o atendimento na parte do bar, enquanto aguardávamos a mesa, foi excelente!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I just got back from an excellent meal at Kiwiana, and highly recommend it. Appetizers - mussels were so good that I ordered them twice (the second batch I ordered when I was halfway through my entree). The juice they're in is so tasty that I drank it straight from the jar - it'd make a really interesting cocktail if mixed with vodka. As others have mentioned, the soup is really good as well. Steak Tartare - this was good - I liked the presentation with the egg yolk in the shell on top, but not as tasty as the apps mentioned above. Note - it was angus steak, not wagyu which is listed on the website. Mains - Ribs are fantastic. Melt in the mouth, absolutely delicious. You wil not regret ordering them. Chicken - a superb example of fried chicken, made even better by the truffle honey. So so good. Desserts: the must order is the Lamingtons. Absolutely divine, and really brought back memories of New Zealand. Passion fruit flan was excellent, as was the milo molten cake - which had a slightly salty edge to it; not a bad thing in this dessert. Pavlova not on menu currently - I look forward to trying that when they start serving (something to do with the oven I believe) in a week or so. Service was excellent - likely helped by the fact that the restaurant wasn't as busy as it deserves to be. The head chef Mark came around and visited each table - a super nice guy, and really deserves to succeed with this restaurant. Note: Currently is cash only. BYOB for the next few weeks - 7th Avenue wine store around the corner has a good selection; I had the Oyster Bay Pinot Noir, to fit in with the New Zealand theme. I look forward to when they get their liquor license and have steinlager pure, great NZ wines, and 42 Below on the menu. Minor nits: Felt rather warm, could do with the AC up. Front door doesn't open/close that easily, not a big deal. I don't understand the person that gave this place 1 star - I'd rank it 4.5 stars overall, but am rounding up for the fantastic meal and very fair prices.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.290473593; Sentiment_Subjectivity (from 0 to 1): 0.552981818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really enjoyed it. Loved it as ember room but was really hard to put together a whole meal as ember room. Simple now. Worth a shot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.247222222; Sentiment_Subjectivity (from 0 to 1): 0.483134921 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my three favorite speakeasies in the city, Employees Only is as good as it gets. Fab cocktails, and excellent food. The home marrow poppers are to-die-for; I could devour them all day, every day. Never had I had a drink or dish here that hasn't been superlative.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you love seafood this is the place for u. Definitely try the boil special. The only reason I didn't give 5 stars is because the portions are a little small. Other than that food comes out very quickly with super flavor and the service is good. The waitress even taught me how to eat crawfish. Def a place to check out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.176130952; Sentiment_Subjectivity (from 0 to 1): 0.586309524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!!!  Understated, minimalistic but comfy setting...Well worth the 30 minute wait (even with reservations) for "Sunday Supper"...The menu offerings rotate...The food is very good to exceptional in a Southern Style sorta way...Sunday Supper was three courses for $25 and to me a New York deal...The restaurant is small, kinda cramped but hey; it's NYC...An East Village Gem!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.245723079; Sentiment_Subjectivity (from 0 to 1): 0.533506494 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So the first time I ever visited this place was about 7 or 8 years ago when it was Houston's! I had a great experience then and an even better experience last night.  I made reservations for my husband and I for Valentines Day.  We arrived a little bit early and still had a short wait because things were going as scheduled for this busy night (which we completely understood).   We were waited on shortly after being seated.  The waitress was very friendly as was the hostess.  There wasnt a long wait for our food and the presentation was lovely.  I ordered the pan roasted salmon adn my husband had the jumbo fried shrimp.  My salmon was DELICIOUS and the mashed potatoes and spincah that came with it was exceptional.  ( I order salmon just about every restaurant that I visit so I am kind of an expert lol, and this one I have to say was very good).  My husband is also a shrimp junky and raved about their shrimp also (by the way, when they say jumbo they really meant jumbo).   We had a very lovely dinner, great atmosphere, dim setting, excellent for such a special occassion and the same for a regaulr dinner date night or night out with friends.  There was also a live musician there which added more to the already romantic setting! I definitely recommend Hillstone's!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.346089105; Sentiment_Subjectivity (from 0 to 1): 0.551714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love Dom.   I argue all the time about the best pizza in NY, and I always push Dom's as the best.   It's almost a shame he got so popular - I only eat here a few times a year now - whereas I was a once a week customer.  The wait , "while worth it", really puts some drag on the experience.  Oh and please understand that "your pizza is next" is italian for one day you will get a pizza.   If you arent willing to wait for your pie - don't go - you will just get disappointed.  Otherwise, happily wait for your reward will be forthcoming. I doubt Dom has time anymore, but its not just his Pizza's (round cheese pie is hands down the best) - i would have some off menu stew in the winter that knocked my socks off, and his pasta's were always on the money too.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.249673203; Sentiment_Subjectivity (from 0 to 1): 0.415277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bother!  Over-priced & mediocre food, with a crazy manager to boot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.55; Sentiment_Subjectivity (from 0 to 1): 0.95 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 interior design of the place is classic. However, the macaroons are way toooooo sweet!!!!! It will make you have diabetes instantly!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.388888889; Sentiment_Subjectivity (from 0 to 1): 0.494444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Probably the most overhyped, overpriced restaurant I've ever been to. Definitely NOT worth a wait, an advanced reservation, or even a walk in! - The fries are good, but definitely not "the best" or even on my top 50 list. - The steak tastes like dry rubber and needs a ton of sauce to make up for it. - Pastas are too soft and flavors are just OK. - The onion soup was pretty good/OK. All in all -  if this restaurant were cheaper (about $15-20 a dish) it would be worth it. But man... after spending $100 for brunch here for two people, I really wish we ate pizza or ramen or something. That would have been much more satisfying.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.355555556; Sentiment_Subjectivity (from 0 to 1): 0.49 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 breakfast in NYC!  No kidding, it's true.  Unfortunately they shut down breakfast a little while ago and restarted with a limited menu but still:  BEST !  Best bacon in the city (which might mean in the world!). Stellar greens ( and I usually hate salad with my eggs!). Superb coffee, perfect toast.  Ice water without ice! And refilled without asking.  Seriously, would never have guessed from the outside, hidden treasure Can't speak to lunch or dinner, but guaranteed the food is that rare combo of fresh healthy AND delicious ( and I'm a fried chicken type); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204518613; Sentiment_Subjectivity (from 0 to 1): 0.581868859 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite ramen spots in NY; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is so good, I have never been disappointed in the food itself, however...twice in one month I came in on a Saturday and they ran out of breakfast.  "Hey man, sorry, we don't have any breakfast." How?! They are never open on time, and the dudes behind the register are never that friendly. And what's the deal with not being open on Sunday?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.1; 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: We ordered the chimichurri steak and the miso salmon...yum! The salad had a delicious peanut sauce, and the entrees were served with rice. The perfect portions for $10 a person. ***cash only!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Me and my friend came in yesterday around 4pm for an early dinner. We were seated right away and were given water and our menus. We ordered the chicken satay, pad Thai with shrimp, pork noodle soup and 2 Thai iced teas. The chicken satay was pretty good. The pad Thai with shrimp was not. The noodles were all broken up and the flavor was off. Would not get it again. My friend loved her pork noodle soup though. We never got our Thai iced teas despite the restaurant being more than half empty. A server came when we were almost done with our entree to ask if we still wanted it. We declined. Me and my friend freaked out while eating because a fly dropped onto the edge of the empty table right next to us. It was still wriggling and buzzing and it was just not sanitary. It could've well dropped in our food instead... When we decided to ask for our check, instead of bringing it right away, they brought other people's checks and forgot about ours. We had to ask twice. And mind you, the place was still half empty... I don't know how this place got some good ratings. Food was mediocre, the place was unsanitary and the staff was incompetent. The check even recommended 18% gratuity which they definitely don't deserve. We definitely won't be coming back.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.055952381; Sentiment_Subjectivity (from 0 to 1): 0.527285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 will keep this one short. Party of three. Salmon dish... Nothing special, very small portion. Skirt steak was said to be the worst they ever had. Food didn't settle well with non of us. Kept burping it up threw out our entire evening. (gross) =/ I've had better waiters who are more pleasant. Hostess really shouldn't lead people threw tight awkward spaces to get to there table. Place did have a nice romantic feel and decor to it. That pretty much it guys. Hope you have a better experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.054828042; Sentiment_Subjectivity (from 0 to 1): 0.59271164 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recently ordered an enchilada from here.  It was really good, too. I had the fried pork enchilada.  It came in a soupy salsa mixture with some tortillas inside.  Forget trying to eat with your hands (who eats enchiladas with their hands anyway).  It came with rice and fried jalapenos too.  It all went into the enchilada.  I also ordered some chipotle salsa on the side.  My that's spicy.  It goes into the enchilada, too. Mix it all up.  Then eat. Delicious. Flavorful. Great pork (though not enough crunch - probably because it was swimming in delicious salsa verde).  Cheese and onions and beans.  It's a good amount of food.   My stomach may not have been happy later, but sometimes that's the price you pay for awesome food. I also ordered a fajita - it was really good, great grilled vegetables and tons of meat (and rice and beans).  Nice and hot, I couldn't help but eat all of it. Finally, please get the chipotle salsa and apply liberally on everything you eat, ever.  It burns in the best way. (it is actually quite spicy, so watch out).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.664705882 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had an amazing time at this restaurant. The bread and appetizers are incredible, the Hummus is to die for! I had the roasted chicken with buckwheat dumplings that was absolutely delicious. My wife had a lamb dish that she Loved! The duck pastrami app was very creative. And leave room for the deserts. They make a cheesecake so smooth it tastes like cheesecake flavored whipped-cream. The best part is that the prices for these 'culinary works of art' are very low! I was pleasantly surprised when I saw my bill. Can't wait to go back to this restaurant again....and again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.41875; Sentiment_Subjectivity (from 0 to 1): 0.636666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Get the dumplings get some of each pork &crab   always a wait but worth it; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.1 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved this place for breakfast and went here twice during my trip to NYC. The corn soup and parmesan egg scramble and croissant was really good. The chocolate croissant was also yummy. The service was friendly and efficient, but during the weekend I could see how this place can get crowded quickly. The decor was so cute! It reminded me of a cozy tree house. I will definitely return whenever I go back to NYC.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.316666667; 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: The Ippudo in NY is way better than the one in Shenzhen, China. The soup of every ramen is wonderful. I personally dont really like the noodles because they are really thin but my friend really likes them. We've tried 6 different starters(we've been there twice) and 5 of them are amazing especailly the lamb chop. The other fried chicken we ordered is so-so but its not bad. I will highly recommended this restaurant to others but better be there ealier cuz there is always a queue.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.183461538; Sentiment_Subjectivity (from 0 to 1): 0.583205128 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Native Brooklynite here.  Nobody, I mean NOBODY makes a pizzaiola anywhere remotely close to DeFonte's.  I won't eat a meatball parm from anywhere else. Turkey, ham, shrimp, eggplant, broccoli rabe..... You just can't go wrong.  DAMN!!!  It's incredible. Been coming here for 28 years and still as amazing as ever.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0221875; Sentiment_Subjectivity (from 0 to 1): 0.7175 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best pineapple rice I have ever eaten. I am not sure why, but it may be all the ingredients of pineapple, egg, ham, cashews, and shrimp (which I am not a fan of) and whatever flavoring they use, but it was just so good. We had the crispy spring rolls to start and the mushrooms in there were so good. Back to the meal, the pad thai  was good, but my favorite is Little Thai Kitchen in midtown east. The restaurant is tiny, smaller than Pure Thai down the street. The decor is fantastic. So simple, yet funky and the lighting creates a comfortable atmosphere. The staff was friendly, attentive, and accommodating with the orders. The plus is that the dishes are really cheap for such great food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.299811508; Sentiment_Subjectivity (from 0 to 1): 0.584246032 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thought Shake Shack was ok, not great, not terrible... but not a patch on what I'd consider a gourmet burger. I went for the Shake Shack Double Burger. The lettuce & tomato was fresh, the meat patties were ok, and the cheese and bread were fairly indistinguishable from what you'd get at McDonalds. The fries however were pretty good. Still not quite sure why so many people queue up for it! I'm still looking for a nice, fresh, gourmet burger place... as Shake Shack isn't it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.390384615; Sentiment_Subjectivity (from 0 to 1): 0.664529915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here on a Saturday for brunch. The wait was only about 20 minutes long. The menu was overwhelming. All I have to say is that if you're looking for healthy options, this is not the place. It was like traveling to the Deep South but masked as the UWS. We started with a pickled sampler. Pickled Green Tomatoes, one house pickle, one hot pickle and the beats. All of which we're amazing and different in their own way. Overall bursting with flavors. For our main dish we got the spinach salad with a fried poached egg (to die for), blue cheese, bacon and mushrooms. The spinach really just got in the way of everything else on my plate. I have never had or heard of a fried poached egg before so that really made the dish for me. I may have preferred a different dressing because the blue cheese dressing with the blue cheese in the 'salad' was a little to much for me. We did not want to make the mistake of not ordering the fried chicken, in some way shape or form so he went with the fried chicken and pancakes. I'm not sure which was better, the fried chicken with bacon sprinkled on top or the pancakes. There was more than enough on the plate, two huge pancakes each with their own piece of chicken and delicious maple syrup. The trio of pancake, chicken and syrup on your fork was mouthwatering and not something that should be missed by anyone. We loved everything and are eager to come back to try the bacon/egg filled Bloody Mary's and of course, more fried chicken. Looking forward to the tons of leftovers we have waiting for us. Jacob's Pickles is not  to be missed, especially if you are craving some southern comfort favorites.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.078760163; Sentiment_Subjectivity (from 0 to 1): 0.606639566 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: so. damn. good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a fun local bar with decent food and a really lovely garden, usually not crowded. But... Can't help but wonder if the lack of crowd at what SHOULD be a very popular place is not hampered by the cheesy name...? Just a thought.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.195952381; Sentiment_Subjectivity (from 0 to 1): 0.552380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ah-mae-zing. I loved the house soup and the cold tofu and of course, all the yakitori! Not a fan of the wait but the food is worth it. Restaurant's small but they make good use of the space.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.14; Sentiment_Subjectivity (from 0 to 1): 0.58 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not to be a jerk, but this place is only known for their sauce. So if you want you could head down to New York Burger Co. down in Chelsea and it's unlimited free sauce. Fries there cost $2 bucks with UNLIMITED sauce that taste just as good as Pommes Frites.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.154208754; Sentiment_Subjectivity (from 0 to 1): 0.572053872 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Only in New York is it normal to be seated by a Calvin Klein model. And at this hip SoHo cafe, models are more normal than not which makes me trust that the Parisian pastries aren't the most popular menu item. The atmosphere itself is relaxed and cozy despite the intimidatingly gorgeous bohemian clientele and staff. The menu, a mix of French and Moroccan fare, has something for everyone yet errs on the side of healthy salads and organic couscous entrees. Settling in on a recent visit, we ordered a round of Hibiscus Mimosas: fizzy, juicy and absolutely delicious (though a tad pricey for the size at $9.50 a pop). We split the apples and brie small plate which came with delicious warm crunch bread. My organic chicken satay with peanut sauce, jasmine rice and carrot salad was also yummy. The chicken was a bit dry and bland for my taste but I suppose that was the "healthy" aspect and the reason for the big cup of peanut sauce. Service was quick and friendly, those girls manage to turn around tables with lightning speed. As an adorable and laid back café in shopper's paradise, Cafe Gitane is a regular on my New York rounds.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.193025078; Sentiment_Subjectivity (from 0 to 1): 0.58342577 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Only gotten take out from there through grubhub and arrived in an okay speed. But whatever it's worth the wait. I had the salmon something crepe and tried the... Spicy lamb one, have to say the lamb one was amazing. And I don't even like lamb. 4 stars because I wish it was cheaper, but that's also because I'm pretty broke and I wish everything was cheaper. --Actually no, changed it to 5 stars, their sweet crepes are cheaper than vive la crepe and from the pictures looks better too.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.59375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: excellent cocktails.  never tried the food.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Besides having the best Happy Hour flight special in town, this place always treats me like family.  On a recent visit, after a several-month-long absence, my favorite bartenders greeted me with a hug and a "we missed you!"  They always give great wine suggestions, and the food isn't bad, either.  The chicken pate will last the entire happy hour if you get extra bread.  This is absolutely one of my favorite places to visit, even though it tends to get crowded.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.251309524; Sentiment_Subjectivity (from 0 to 1): 0.611984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went for dinner, got seated quickly, loved the place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I FINALLY got to try this place out on a Friday night after everyone telling me it is better than sake bar decibel.  We got here around 8 pm and waited for about 30 minutes?  It's a izakaya style restaurant which I love because I can try a little bit of everything. Stuff I recommend: The chicken meatballs, fatty pork and something else yakitori style the beef yakitori Fatty pork + cabbage shrimp tempura - amazing. Mentai-cha han agedashi tofu Stuff that was ok: takoyaki - otafuku def. has way better takoyaki. I also got the Sour Shochu and it tasted like juice..nothing special.  I like this place b/c they have great food but I still somehow find myself liking sake bar decibel more...the atmosphere there just makes it more fun somehow.  too bad sake bar decibel doesn't have good food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.189390756; Sentiment_Subjectivity (from 0 to 1): 0.566946779 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 institution.  For me, anyway. Great service (at the bar especially, but that's a personal seating preference), and the food never disappoints.  The menu is simple but surprisingly expansive at the same time.   The vibe is kind of funky with a healthy dose of sophistication thrown in for good measure.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.559126984 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Notice there's a lot of "Joe's" who own restaurants around NYC! There's Shanghai Joe, Joe's Ginger, Joe's Restaurant and even another Joe's Shanghai in midtown! And guess what? They all happen to be Chinese restaurants too! Oh, people are just oh-so-creative these days :) I've been here countless times already and I used to be so thrilled about this place! However, lately I've been finding myself more and more disappointed with their xiao long baos. (FYI- my favorite place for soup dumplings is Din Tai Fung in Taipei-- the BEST XLBs in the world!!) Unfortunately, the last time I went to Joe's, I found their XLBs to be only so-so, with the meat inside the dumplings to be slightly pink and very very oily. Maybe there's a new chef in the kitchen? Or my trip back to Taiwan awakened my tastebuds..I have no idea. Their other chinese dishes are good but also americanized for the local taste. Joe's Shanghai is ALWAYS busy on the weekends (being slightly better on the weekdays). I guess that's what you get for being one of the most popular restaurants in Chinatown! I must say though, the price is pretty good for what you get -- big portions! This place is cash only and the waiters are for the most part, helpful and friendly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.231329201; Sentiment_Subjectivity (from 0 to 1): 0.525339761 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So this place is a little tricky to locate but if you find it you will be rewarded!  I arrived a little after 8 and was set out on Chrystie Street by my cab driver with a shrug but quickly made sense of the area and was down the alley and inside within about 5 minutes.  The fact that this place has no signage was no big deal as it is literally the only thing off the alley.  The host and hostess were extremely friendly and gracious as I explained that I just wanted to squeeze into the bar for dinner and they kindly directed me to the bar in the back.  This place is super cozy.  Lots of smaller rooms with taxidermy and great low lighting.  It feels a bit like an old hunting lodge and seems the perfect place for a gathering of friends or an intimate dinner for two.  Noise was not really an issue but bear in mind that you can't have lots of people in any small space and have quiet. The bar staff was very attentive even though they were VERY busy!  This place has a true mixologist's cocktail list and they do all of their own infusions, etc.  They did not make their own bitters, but who really cares?  Angostura needs business too!  Lol. I digress.  I ordered the "wipe out" to start and then thought I'd test the bartendress as I had been admiring a bottle of Aperol and asked for an Aperol Spritz which she quickly produced much to my delight and enjoyment. The menu is short and sweet here and though I was disappointed that the much raved about chicken liver toast was off the menu I really enjoyed the pei mussels and the devils on horseback.  All of the dishes I saw come out were beautifully prepared and there seemed to be no complaints.   The crowd was friendly and overall the restaurant patrons seemed to be mostly locals of all ages and walks of life out for dinner in a place they frequent and who can blame them?!? Put this place on your list of discoveries to make while in Manhattan and eat up!!'; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.201259549; Sentiment_Subjectivity (from 0 to 1): 0.536972222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great service and good food! Took advantage of restaurant week.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8375; 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: Cramped, isn't the word. This place is tiny.  But they say the best things come in small packages right? This place reminds me of your best friends cramped East Village apartment.  That is if your best friend made amazing Indian influenced creative food.  It's tapas style and I have dreams about the ginger scallop dish.  Seriously, it is one of the most interesting delicious scallop dishes I have ever tried.  In fact I could eat this dish every day for the rest of my life and be the happiest girl on the earth--yes, it is that good. Come here with only one, maybe two other people and prepare to be greeted by the super friendly chef and eat food that will delight and challenge your tastebuds.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416806723; Sentiment_Subjectivity (from 0 to 1): 0.590826331 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yesterday I went to peaches for brunch and I had an awesome time. The food was scrumptious and the waitstaff was extremely attentive. It was also a really refreshing experience because it happened to be a jazz brunch so there was a live jazz band setting the mood for great ambience within the cafeteria. I had the farmers omelette with toast and grits on the side. My wife had the shrimp and grits. We also had an order of French toast that came along with both of those orders. The one reason why I would give peaches four stars instead of five is it took a little bit long for the food to arrive and I did feel as though I was waiting longer than I cared to wait. But once the food came out it was delicious and I was very happy with it. The main thing that I really appreciated about going to Peaches this time was that the service was so on point. I felt like the waitstaff was very accessible yet not overbearing. I felt like they were really on top of their game. It was a very crowded morning brunch but whenever I needed something they were on it. As soon as I finished a plate of food somebody whisked it away. If I needed another napkin or my fork fell on the floor somebody was right there to take care of that as well. I would totally go back again for brunch especially since they're only a few minutes away from my house. I'm glad I found a good brunch spot just minutes from my house.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.306032373; Sentiment_Subjectivity (from 0 to 1): 0.582893375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walked in here a day after a snowstorm, tracking slush into the restaurant, and struggling with all the camera stuff I had on me: a camera bag and three separate cameras, plus an umbrella. To say the least, I was a mess when I entered. "Hi sir, table for one?" No odd looks, no nothing, a cheery greeting and immediate seating. They gave me a moment to get out of my coat and hat, and to get my crap organized. I was brought a menu and I went with the #4. The service here was excellent. Not only was the wait staff on point, they were friendly. My server happened to like photography, so we would chat about cameras between guests. Ok, so there's a little bias there, you say? Well other people did stop by to check on me, and were equally chatty and personable. Even Carol Grimaldi herself came to see if I enjoyed the pie, made small talk, and cleared the table when I was done. The pizza itself was great, a good crust that has the right texture. Not gummy, not brittle...the right in-between. I'll be back here, and soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1785401; Sentiment_Subjectivity (from 0 to 1): 0.540601504 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fairly new right by my work so I decided to give it a shot today with breakfast. I am pleased! I ordered Emma's wrap (turkey, egg whites, avocado and cheddar) and it was only $5.39 incl tax. I'd say that's a pretty good price for breakfast takeout in the city. The system seemed pretty organized to me too. I ordered, then paid at a different register and wasn't given a number. Although there were quite a few people in front of me, it seemed we all got our food pretty quickly! This is what any Manhattanite needs: fast and great service. It also is a huge plus that this place is pretty :) I don't know any other "delis" nearby that have the nice woodwork that this place has. Definitely a winner!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.280986557; Sentiment_Subjectivity (from 0 to 1): 0.732382092 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found this restaurant on Yelp shortly after I moved to Astoria - I'm a big fan of seafood, so I knew I had to check this place out.  Expect long lines (weekdays and weekends!) and very fresh fish!  Not the easiest place to eat at (crowded, takes credit card but must leave cash tip, no reservations) but a great no-frills seafood restaurant.  Arguably the best in Astoria.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.370833333; Sentiment_Subjectivity (from 0 to 1): 0.416666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for brunch at around 1pm on a hot Sunday, and was a little dejected after turning the corner and seeing a large crowd standing outside. Having already had a similar experience at The Smith around the corner and leaving my name there, I decided to talk to the hostess... and to my surprise, we were able to sit outside right away! apparently it made sense for everyone else to stand around uncomfortably outside for a long time (not under the covered awning) in order to wait for a table inside. I'd like to thank those people. The brunch was pleasantly amazing. I had the breakfast sandwich which 1) came on a delicious challah roll and 2) came with a salad and homefries. the OJ and the iced americano were also fine, and despite our awkward table positioning (boxed on the outside railing) they came and refilled our water very consistently. definitely a place I'll come back to, and as a takeaway: even if you see a large crowd outside, it never hurts to ask.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.138244048; Sentiment_Subjectivity (from 0 to 1): 0.433392857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 kind of outdoor bar/restaurant. It is a simple place, with basic food like tacos, corn on the cob, burritos and chips. Beers and a couple alcoholic drinks like frozen margaritas. The drinks and food are not that special (Food 3.5 stars- drinks 2 stars), but what makes Habana Outpost great is the laid-back outdoor vibe. There are picnic tables and umbrellas, a nice fountain and it is super chill. You can tell all your friends to meet you there and they won't have a problem getting in, or looking for seating (most of the time).  I have had a birthday party or 2 here and we were able to get in 20-25 people with ease as long as we held down the tables for a bit. There are some weekend nights when it can get a bit busy, but mostly it is not too busy to have a drink and a seat. Tuesday mornings there is a toddler "party" with arts and crafts and water toys. They are kid friendly at all times. There is something for everyone at Habana.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.22249504; Sentiment_Subjectivity (from 0 to 1): 0.517757937 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing place - quiet lower east side bar restaurant - have to try the jalapeño marguerita - it has a bite! I forget the meal I had back in March of this year - some sort of burrito - but it was just flawless!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.558333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful service. Really tasty food-- the rice balls are a great app to share! Amazing homemade pappardelle and the fall special pizza was delicious as well. It was a little too warm in the restaurant, but other than that... no complaints!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.490376984; Sentiment_Subjectivity (from 0 to 1): 0.65515873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 care not for celebrity chefs, but I root for Michael Psilakis (after Anthos shut down). So, I was excited to learn of his new restaurant in Astoria, which would be the first time he would present his native cuisine to the discerning (mainly) Greek clientele in a neighborhood filled with top notch Greek restaurants including Taverna Kyclades, Zenon Taverna... The first few weeks are never easy for a restaurant. There's the rush of clients, difficulty in estimating demand, pressure in the kitchen to manage orders, I had low expectations - but was pleasantly surprised on my first visit (Friday before last). The servers were rushing around manically to be responsive, the bread was always warm (as were the plates!), the lady at the reception would run up and down the stairs to see which tables were free and scribble furiously on her note pad, the diligent Director of Operations was overseeing service like a hawk... it was an unbelievably well-oiled machine. I have been back 4 more times since, and while they may be challenged now and then (bread cools sooner), they generally rise to the occasion in a crunch. The space is huge and well designed, with thoughtful lighting that encourages a focus on the conversation, as opposed to harshly lit restaurants that abound in the neighborhood. So, what about the food and drinks? The Good: Crab croquettes: with arugula salad and lemon-garlic remoulade Grilled branzino: (boneless, filleted) with fingerling potato, cherry tomato, olives Greek Paella: Shellfish, spicy lamb sausage, and orzo. Very innovative! Chocolate Halva Brownie: brownie livened up by Halva and Tahini ice cream "Galaktoboureko": crème brulee that evokes the traditional Greek dessert (with the addition of lots of fruit) The not-so-good: Trio of dips: eggplant, yogurt, chickpea - the yogurt dip isn't Tzatziki. But, all were blah Barrel Aged Feta: not sure what the intent was, but all you really get is blocks of cheese. Boring (certainly NOT the version I see in one of the pictures here on yelp) Souvlaki: the onions, peppers, and tomato overshadow the beef and Tzatziki Lentil soup: the blandest version I've had, despite the crunch in the texture Spiced Walnut and Parsnip cake: utter disappointment, I was hoping for something like Karidopita The Fantastic: Octopus: Best version I've EVER had. Much better than the superlative version at Taverna Kyclades. Texture is closer to butter. Love the interplay with chickpea salad and yogurt. If you don't like this, it's either an issue with your taste buds or you were just born under an unlucky star. Every table is eating this, so sorry it IS you... Crispy Cod: the taste of garlic and potato puree + tomato sauce work well with the texture of the cod Gyro spiced beef sliders: excellent with the spicy pepperoncini dip, served with chips Dumplings: Expect to pay more than $1, but their pillowy nature with pine nuts contrasts textures, and the (tangy) tastes of spinach and sundried tomato with feta are brought together exceptionally well Limonada (drink): I'm not a big fan of Ouzo, but the cocktail here with lemon is addictive! Apple "Baklava" Napoleon: One of the best desserts I've had lately. Crispy phyllo dough layers, metaxa spiked cream honey, apple together with amaretto crunch ice cream. I've had this thrice. Note to kitchen: On one occasion, there was only one layer of apples, and the taste was disappointing. Do NOT skimp. I'd be interested to see how the nearby restaurants fare in the wake of MP Taverna's opening. While Taverna Kyclades was packed to capacity in each of my visits, I fear that the competent Watawa Sushi's recent expansion might have been unfortunately timed, as a number of their clients (those who couldn't get seated at Kycla) would now go instead to MP Taverna. Kycla too should be impacted as MP takes reservations (!!), has a fantastic drinks menu (lots of quality options in wine to fit your wallet: by the glass, bottle, half-glass, half bottle) and better desserts, though Kycla has better fish (not to forget: Tzatziki and lemon potatoes!!!) The only dark clouds on the horizon for MP are the price points. At $ 65-75 per person after tip (drink, appetizer, entrée, dessert), these would be more what I would expect at Brooklyn and not Queens. But, the quality of food and service are top notch. So, indeed: whyleaveAstoria? If you aren't the founder of that website, that is...  ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.146779933; Sentiment_Subjectivity (from 0 to 1): 0.557850359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thought this place was great. The wait was long, but the food was good. I got the nutella french toast, the portion seemed small at first (3 baguette slices) with a side of fruit, but nutella is very rich so anymore and it would have been too much. My friend got the granola, it was very fresh, and we got a side of the soy bacon, not bad, but it was more like a sausage just smooshed, it wasn't crispy or anything. I would definitely go back.. I hear the pumpkin waffles are amazing!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.3175; Sentiment_Subjectivity (from 0 to 1): 0.490384615 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just took the subway here and back for lunch, but it was very worth it and I will probably do it again in the weeks to come. I came in around 1 and the place was packed, but the lines were efficient and the turnover was quick so no complaints there. I didn't have a problem finding a seat in the small seating area. They have a pretty wide selection of prepackaged bento box type lunches (I saw curries, spicy pork, bulgogi, kimbap) and had a self serve hot and cold bar that was weighed.  I opted for the self serve and picked up a variety of dishes ranging from ddutboki, to these veggie pancakes, a pork meatball, some tamago type dish and some rice. The only reason they lose is a star is because the hot/cold food buffet changes often, so if you're looking forward to going back for something you had last time, chances are it might not be there (sort of a bummer), but I understand that they can't serve exactly the same thing every day. All the food was filling and wholesome tasting, I felt like it all could have come out of a Korean mother's kitchen. The whole place was just very non-pretentious and nice (unlike the 189460 midtown sandwichsaladpaninisoup places that serve bad food for exorbiant prices). Along with a Diet Coke, my meal came in at a little over $6 which I found to be a pretty good deal. Of course, if you choose a bunch of watery, heavy food it'll probably ring in at more, in which case you might be better off choosing the prepackaged meals. Woorijip makes me actually excited for lunch hour again instead of dreading facing the lunch wasteland that is midtown. And they accept credit card! I love that!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.139183333; Sentiment_Subjectivity (from 0 to 1): 0.521533333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been here once, so I'll have to update, which I'm sure I will as I live one block away. Tonight I walked over in some flip flops and gym shorts for a quick, light dinner. I got the falafel side and the grape leaves side. Both were super tasty and the total was $4 which is the best part. The falafel wasn't dry and I didn't think there was too much sauce as others have said- in fact I could have used more. It was super crisp without being greasy. Some people in line did have to walk away because they didn't have cash so make sure you're all set. Overall, I'm sure this will be a go-to spot for me and I'm looking forward to trying more from the menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318805704; Sentiment_Subjectivity (from 0 to 1): 0.58627451 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food, reasonably priced, good service.  Tables for 2 are too close together and I had to pull my table a little away from the couple sitting next to us.  Wine by the glass is a little overpriced.  But isn't it always.  The ambiance/interior of the restaurant is very cute and rustic in a classy way.  I will return to Alta for sure.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.286111111; Sentiment_Subjectivity (from 0 to 1): 0.637654321 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I just stopped in for drinks and a snack so we tried the pork buns which were delicious. I also had yuzu sake (my fav) and my friend had the lychee cocktail which was a great mix of flavors.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.9; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The pizza is fantastic. I could not put it down. Definitely one of the best in the city. Very cool old school atmosphere as well.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.299907407; Sentiment_Subjectivity (from 0 to 1): 0.505648148 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here on a Sunday night with a group of 11 friends. Let me just start off by saying that the waitress was not nice to us from the start. We had a few waitresses come by and take our orders separately and still didn't get out food in time. There was a hair in my friends spinach dish and they did not even take it off our bill. My friend ordered moscato wine and they gave him two sips for 20 dollars!!! The food was great but If it wasn't for the bus boys, we wouldn't have had anything tonight.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.036458333; 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: Supper... How do I love thee? Let me count the ways. I love thee for your bread served with beans in olive oil, such a delight. For your grilled polenta appetizer with melted stracciatta cheese. Don't even get me started on your burrata, so fresh and creamy. I love thee for your spaghetti al limone, so simple, tart and light. I love thee for your wheat orecchiette special with kale, toasted breadcumbs and that delicate, perfectly cooked egg which rests so gracefully atop it. I love thee for your incredibly friendly and all-knowing staff and for that back room, dimly lit and cozy. I love thee for your very reasonably priced, yet tasty wines.... For feeding me, Supper, and making me happy. You are all that's right in NYC dining; delicious fare, great service, great decor and great prices. Cheers and thank you.  I will keep coming back, often and happily.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.406840659; Sentiment_Subjectivity (from 0 to 1): 0.632472527 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such a beautiful, quaint little cafe that's perfect for breakfast and brunch. Their potatoes are like nothing I've ever had before. They were DELICIOUS! Very friendly staff, and fairly priced.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.792857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a bbq pork banh mi and thoroughly enjoyed it. not much to say except that it was tasty, a great meal, and the quick service never hurts!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.404166667; Sentiment_Subjectivity (from 0 to 1): 0.5375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVE. THIS. PLACE.  Went here for brunch/lunch on a mild March Saturday.  Super crowded which just shows how desirable a table is at this hotspot!  We only had to wait about 15 minutes, so we sat outside on the rockers and enjoyed the nice weather.  Once we got our table, I immediately started to salivate!  Everyone we passed on our way to our table had a plate full of something delicious. You get biscuits and scrumptious house made apple butter to start.   I ordered their signature spicy bloody mary.  I'm always skeptical about bloody marys because they are pretty easy to screw up.  This however, was the most amazing bloody mary, quite possibly, ever.   We both ordered the Bubby's breakfast.  Eggs your way, toast, home fries (or grits), 2 strips of mouthwatering thick bacon (or sausage) and fruit - grapefruit this day.  I tried so hard to eat every bite, but it was not even remotely possible.  Delish. A little pricey and it's cash only, so be prepared for that.  However, you get more than enough food for your money and it's a great little spot that always has a good looking crowd.  Walk down to the seaport afterward if it's a nice day or head through Tribeca to Chinatown to browse around for cheap little gifts to take home if you're just visiting.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.138237847; Sentiment_Subjectivity (from 0 to 1): 0.698611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! When me and my friend went, the banchans were fantastic!  There was only me and another friend and we both got a fried fish each!  Talk about too much food. Waitress was absolutely delightful.  She was quick and so accommodating.  Before we could even ask for more banchans, she was already setting down the refills.  She was already there to serve the rice even before we decided to eat it.  It's like she reads your mind before you even think it.  I like that kind of service - Excellent service. Wait is said to be very long, but my friend and I got a table with minimal wait.  I guess it all depends on the day and time. The soonduboo was ok.  Not quite as flavorful as I like it, but they definitely don't skimp out on ingredients.  My mixed seafood soonduboo had so many clams, tofu, and beef!  However, I'm still a bigger fan of Seoul Garden, but this place definitely ranks higher in terms of bang for your buck. We also had the bimibop which was on par.  I haven't been to a place that makes it extremely bad (I mean, it's really just mixed rice).  But the dol-sot was a bit too hot and it is suggested that unless it's a cold day and you're looking for an extremely warm bowl of fried rice [or] if you will be eating it RIGHT away, you should probably not choose the dol-sot option. Definitely a go-to and I will be coming back again for the tofu comfort food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.173654899; Sentiment_Subjectivity (from 0 to 1): 0.584440339 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place to eat whole animals. Went there for a company holiday dinner and had a whole lamb (face and all) plus steak tartare, lamb rillettes, and merguez sausages - fantastic. All the apps were spot on. The lamb itself (roasted), while tender and delicious, could have been seasoned to a finer point. Will have to try the hog next time.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.341666667; Sentiment_Subjectivity (from 0 to 1): 0.491666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Rude waiters and waitresses!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.375; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I  mean the real question is: What's not to love about balls? And if you're into balls, then definitely try Meatball Shop. Because... they're edible. Which is a plus. I like you, Meatball Shop. You're quirky, you have one gimmick and you stick to it well. My sister and friend and I met up at this homey little restaurant and had a hard time deciding on what to checkmark on the erasable menu- (cute or too cute? I can't decide.) Whatev. So, just to be safe, we ordered A LOT.of.balls. And we really had no complaints.  Also to be commended are the sides. The roasted cauliflower is excellent. I ordered the meatball hero with spicy meat sauce. It was good- not too big, not too greasy. I wish it had a little more spicy kick to it  though.  My sister loved the special- which were the lamb meatballs. Our friend ordered the chicken meatballs. We also split roasted cauliflower (order it) rigatoni and a salad. The Foccacia was good as well. I regret not getting the smash- slightly more refined meatball sloppy joe's.   So, I pretty much walked out looking pregnant. But- food pregnancy is sometimes worth it. Sometimes. I would say, go for lunch and hop aboard the train to Meatville.  You'll get off happier .... and five pounds heavier.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22864011; Sentiment_Subjectivity (from 0 to 1): 0.59617674 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They have a lovely backyard seating and they play The Smiths. Enough said.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 kind of spot.  Great looking sports bar with lots of big TVs throughout the bar.  Awesome selection of beers to choose from.  We tried a couple of food items to snack on and were pleased.  Surprised that there were not more people in here - only a few blocks from busy Times Square area.  We will be back next time in town.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.220833333; Sentiment_Subjectivity (from 0 to 1): 0.545833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ootoya has a full delicious menu that are designed like a traditional Japanese meal. We first started with homemade tofu (cold) with sea salt- tastes different in texture than the normal tofu you buy. We also had Natto which is a Japanese soybean that's very sticky. Warning- it smells bad and texture is slimy- It's served with slices onions that enhance texture and smell. I ate it due to health benefits for women- probiotic, skin enhancement, heart health, stronger bones. We had the traditional meals that most Yelpers have reviewed already and they were delish!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.082142857; Sentiment_Subjectivity (from 0 to 1): 0.533928571 [/INST] Not Spam</s>