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syannn

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lori N. and I spontaneously had dinner here this past weekend. We really liked the sleek yet rustic feel of the place, and our waiter was super sweet and chill. If you can, get the stellar seats in the front; it's a perfect place to perch, eat well, and catch up. Our waiter enticed us with the sangria, which we both liked a lot. We both agreed that the small chunks of fruits + the tasty wine made for a great summer beverage. To eat, we had the polenta, the broccoli rabe, and the mussels. Each were unique and not too heavy. The polenta was creamy delightfulness -- and still good without the sausage! (I had the meat on the side.) The broccoli rabe was my favorite; the mix of cheese and anchovies made of a delightful mix. The mussels, in a dijon sauce, were also great, though I thought for the price, there could have been more mussels. Overall, this was a wonderful meal, and I'd recommend it!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.46754386; Sentiment_Subjectivity (from 0 to 1): 0.674561404 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best pizzas I've had in NYC. Worth the trek off the beaten path. Lots of pizzas to choose from. Anything with truffle oil and/or proscuitto is divine. The Italian waiters are pretty cute, too!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.435; Sentiment_Subjectivity (from 0 to 1): 0.48 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You really can't beat the price of their falafel sandwich ($2.50), which is not only tasty falafel but also filled with hummus/tahini/baba and other veggies. The service was fast. I really liked the griminess of the place. It doesn't feel dirty but a bit dark, with only a couple of wooden tables and napkins from a dispenser on the opposite wall. I suppose it's best to come before prime meal hours, which my friend and I did, in order to get a seat. I would definitely come by here again, though perhaps next time to go since I'll be lucky if I ever get a table again!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.129444444; Sentiment_Subjectivity (from 0 to 1): 0.513888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely a hot spot for the midtown crew -- and obviously because of its relatively stunning beer list. You'll easily find something here you have tried and something else here that is new, and I appreciate that they are not heavy on, say, stouts but really have an even selection of beers. (Well, the Belgians dominate, of course.) It's quite loud, but the waiter turned down the music at our request. As for the food, the cheese and meat balls are, like, 10% meat and the rest a weird grainy (cheese?). The wings could have had more meat on them. The charcuterie plate was definitely the best thing on the table: awesome quantity and pretty good quality.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.282133838; Sentiment_Subjectivity (from 0 to 1): 0.64542298 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 girlfriends and I came here for Jennifer S.'s big birthday, and Jennifer alone should get stars for picking this spot. A truly memorable occasion, great service, and amazing food. The ambiance is chic but not pretentious. The menu options are all enticing, and it was truly difficult to pick one dish that stood out the most. I'd say the burrata is a must, and the asparagus salad will surprise you. The ravioli and gnocchi were also amazing to every last bite. Don't skimp on dessert! We couldn't decide, so we ended up with four desserts, all of which I'd recommend: rhubarb galette, marsala cream puff, chocolate bread, and whipped chocolate flan. This would also be a great spot to get a drink with friends, as their wine list and cocktails were also all high quality -- at least the ones we had enough room in our stomachs for!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254615385; Sentiment_Subjectivity (from 0 to 1): 0.623589744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cute and classy spot for delectable - but expensive - Japanese food. I really was hoping they'd have a lunch deal, but all dishes were around $13. For soup! Granted, the soup was good. And the service was great. The ambiance is very chill and, well, Japanese. A gourmet experience, but I was left feeling the hole in my wallet for the quantity and quality.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.22; Sentiment_Subjectivity (from 0 to 1): 0.445 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for lunch and had a pleasant time. There isn't too much seating, but it looks like most people are getting their meals to go, anyway. The lunch prices and portions are super sweet, but my rigatoni was obviously undercooked and could have had more eggplant, in my opinion. I think it's definitely a steal if you're in the area for lunch!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.327083333; Sentiment_Subjectivity (from 0 to 1): 0.560416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for brunch and dinner, and both experiences were very different and good! Dinner -- I came with a friend and got seated in the back. I love the rustic chic look, and it's very dashing with the lighting at night. My friend and I got the brussels sprouts to start. Very delicious and hearty. Definitely split-able ($13). My burger was a little more cooked than I had wanted, but I made up for it with the salty deliciousness of the fries. I tried my friends gnocchi, which was delicious but I felt a little steep in the price for the portion. Booze-y ice cream was delicious but not as booze-y as I had hoped. Brunch -- Bread basket -- scone was really good. And I don't even like scones! Smithfield Mangalista ham on toasted potato Parmesan cakes, poached eggs, yuzu hollandaise ($13) was delicious. A filling breakfast with a unique take on Eggs Benedict. Next time, I will definitely try the Bloody Mary bar. One note -- I'd say this is a noisier than average restaurant. I was also surprised by how much spillover there was from the bar on a Thursday night, which definitely added to the noise.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.286363636; Sentiment_Subjectivity (from 0 to 1): 0.603636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Wake Up is awesome ($10). But it's not good for a sensitive stomach. Your stomach will be on fire... The Halloween Delight was also nice ($12). It was definitely strong and a great fall drink. Also, the Shade Margarita ($14) was surprisingly good, too. On the rocks! With Salt! The vibe here is good. It's a one-notch-above dive bar, I'd say. A bit loud but not terrible for a group of 4. There was a birthday party of about 15 that seemed to have a lot of fun, too. I will be back -- sans Wake Up this time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.431944444; Sentiment_Subjectivity (from 0 to 1): 0.681944444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jacob's Pickles is solidly one of my favorite restaurants in the city. It starts with the laid back, simple yet refined look of the spot. Not everyone likes communal tables, but there are plenty of non-communal tables. I love the exposed brick. Our waiters and waitresses have always been really nice. Overly attentive but not in the obnoxious way. Great drink selection. I've gotten the NY beer flight, the rosemary lemonade, and excellent wines. Don't be afraid to ask for a recommendation, as there's a lot to choose from, and the people who work here know their stuff. And the food -- well, they make healthy salads unhealthy, but everything is delicious. Don't leave without trying the grits or the fried pickles -- and the fried Oreos if you still have room.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.330769231; Sentiment_Subjectivity (from 0 to 1): 0.677472527 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Little Owl is easily going to be the best meal I've had all summer. First, the ambiance is just delightful. There are little touches that make it super cute - without being over the top, sopping cute - such as serving you wine in a mug with a cute design when you're waiting outside. Inside, there are no major frills, but you can tell that every accent was put there for a reason. Our waitress and the hostess were absolutely amazing - perfectly attentive, intelligent, thoughtful. And the food was delicious. Absolutely amazing and enjoyable to the last bite. The halibut and lamb were big winners at the table. And you obviously have to get the lamb sliders. Be sure to save room for dessert, as well! While the beignets are not that special, my girlfriends and I are still talking about the espresso ice cream and lava cake.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.380483059; Sentiment_Subjectivity (from 0 to 1): 0.63501221 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely had one of the best beer flights I've ever had at this spot. I really appreciated their knowledge of beer. The mac and cheese is a must. It's a unique serving with a hard crust, and the noodles are not too gooey. The kimchi grilled cheese was a little too strange for me. For the adventurous, though, it'd definitely stick in your memory, and you wouldn't necessarily feel disappointed. This place is hoppin', so good luck getting a spot on those more popular days. Still, it's worth trying out if you can get in!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.198055556; Sentiment_Subjectivity (from 0 to 1): 0.556111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not a big fan of hyped up places with long lines. I usually opt for going when the crowd has disappeared, so when my friends suggested I meet them there at prime dinner hour, I was a little peeved... I arrived late, but my two friends had seats at the bar, and another friend was standing. It wasn't too terrible to stand at the bar despite all the people traffic brushing up against me. Ok, so clearly I'm not doing a good job convincing any reader of coming here. But I'll spell it out for you: ICE. CREAM. SANDWICHES. I've never really had food "speak" to me, but this ice cream sandwich was truly out of this world. The concept is simple, but they execute it well. We go mint ice cream with a macaroon and a brownie cookie. Divine. Probably the best mint ice cream I've ever had, and mixed with these delicious cookies, the combo was perfect. My friends mentioned that the meat sandwiches were also good -- as many Yelpers, of course -- so Meatball Shop is back up on my list. But I might try to get there when it opens...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.208552632; Sentiment_Subjectivity (from 0 to 1): 0.502130326 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 extra star for holding my table for eight for about half an hour while my whole party arrived - though I suspect that only happened because this day happened to be a "slow day." However, I have to say, our waitress was obviously annoyed by our - I think - lack of multiple drink getting and - I suppose - the extra time it took to figure out what we wanted to order. Nonetheless, food came out fairly quickly. We were all satisfied with our dishes, but none of them were particularly noteworthy. I'd say overall, the prices here are a bit steep. The beer selection is on the better side, but the prices are also on the higher side. The dishes, too, were on the higher side for brunch, especially considering no particular brunch drink perk. I don't mean to sound like a complete debbie-downer, but I wouldn't necessarily go out of my way to come back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.065340909; Sentiment_Subjectivity (from 0 to 1): 0.460037879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 that last Thursday, when the temperature suddenly dropped 20 degrees. Awesome. Minca was satisfying, but only "satisfying." I did appreciate the quantity of noodles and other goodies, but the flavor was not particularly unique. Service was good, though. Our water glasses were never empty!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.245; Sentiment_Subjectivity (from 0 to 1): 0.704166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at 1:30pm on a Saturday, and I was surprised that our wait was not more than 10 minutes. But, boy o boy, was it crowded. Our two-person table was pretty smushed next to the table next to us. We were right in the doorway, with little space for customers to go in and out. With that said, the seating situation didn't bother me [today] - though it definitely would bother someone who was more sensitive the cold or eating on top of their neighbor. Or, in truth, it would most likely have bothered me on any other day. With that said, my friend and I had a great brunch. I really adored by grilled salmon sandwich on a 7-grain roll. I got a side salad, with was bitter and tasty! Brunch comes with free OJ and coffee/tea, but good luck trying to get your coffee/tea refilled. I know it was a bit hectic in the restaurant, but the host [main waiter?] was a bit pushy, frantic in his mannerisms, and short in a way that made you *know* he was stressed and that you *needed* to get out when you were done. Usually, people left soon after the meal was over, but otherwise you were asked to leave. This request was made kindly, sure, but this is just to say don't make this your leisurely brunch place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.138595238; Sentiment_Subjectivity (from 0 to 1): 0.53331746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *** 3.5 stars ***  Glad I checked out this whiskey-paradise, but here are some things I wish I had known before: Try to get a chair facing the bar. The huge, simplistic wall of whiskey bottles is very beautiful and memorable. Menu was vast and had a lot of interesting combinations of flavors. The rabbit appetizer was good, but there was not enough rabbit in my opinion. Pork chop entree was the better between that and the duck. I found the cabbage with the duck to be too strong in contrast to the more subtle duck. The peanut butter and chocolate dessert was divine, though, and definitely worth it. It's one of the best desserts I've had in a long time. Lots of fun cocktails to choose from, but I found the Bourbon Insider and Noreaster to be a little low on the whiskey. However, flavors were nice. Overall, portions are small especially compared to the price.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.257065217; Sentiment_Subjectivity (from 0 to 1): 0.584057971 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the high ceilings in this spot. It really adds an elegance that is hard to achieve in this part of the city. Comprehensive beer and wine menu. Good service and plenty of room. It's my go-to drink spot in this neighborhood, for sure.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.294722222; Sentiment_Subjectivity (from 0 to 1): 0.561759259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really like the non-pretentious feel of this place. It's dark but has some character. The people who work here are a bit quirky, but they're nice and willing to be a bit chatty with you. The drinks are a bit more expensive than comparable places, but they are also noticeably larger. Go after work to avoid the later-night, trendier crowds.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1125; Sentiment_Subjectivity (from 0 to 1): 0.63125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While I love the space and the uniqueness of the menu, this time around, I was not nearly as impressed. My salmon was definitely overcooked, and half of my poached eggs were over-poached. The dish didn't move me in any fantastic way, and it occurs to me that for $14, this dish should have done so. Service was a little slow on the uptake, but our water glasses were always filled.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.018229167; Sentiment_Subjectivity (from 0 to 1): 0.620833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in for a glass of wine. Unfortunately the bar area is too small, so my husband and I sat on the bench by the check in, which was a little awkward. The guy working at the bar had a decent level of knowledge about wine, but I unfortunately didn't love my wine ultimately. Good for a pit spot. Would love to try the food next time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.017083333; Sentiment_Subjectivity (from 0 to 1): 0.636666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best "bang for your buck" places in the city. It's a little grimy (well, that bathroom is), but there are about 20 seats and lots of fun bustle to watch. They have it down to a science. The food is scrumptious, warm, flavorful. Bubble tea is pretty darn good, too. Don't forget to leave with 50 boil-able pork dumplings for $9. You'll be so glad you have a stash in your freezer.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.375868056; Sentiment_Subjectivity (from 0 to 1): 0.561111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bustan is a great addition to the neighborhood. The atmosphere has a comfy and cozy feel without being stuffy. (However, this does mean it can be tough to get a seat!) The burrata is a "must" - some of the best in town. I got the gnocchi, which was good but did not totally blow me away. Still, I have no regrets! Decent beer and wine menu. Waiters seem a little distant, but you're never going to go hungry.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.131186869; Sentiment_Subjectivity (from 0 to 1): 0.580681818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 definitely need to boost up this rating for a few reasons. One, the salted caramel brownie dessert was definitely one of the best desserts I've ever had. Hands down. Absolutely delightful. I still love the cellar feel of the space without feeling too cramped. (Though it can be noisy if you happen to have a table nearby that is loud. So beware.) Nice waiters and waitresses. Great wine and beer list. One of my favorite spots in NYC these days!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.388131313; Sentiment_Subjectivity (from 0 to 1): 0.621717172 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cool vibe. Very Brooklyn. Minimal but satisfying menu. Super satisfying taste. Do yourself a favor and get a latte. Smooth yumminess. Even though the brunch menu is small, there is something for everyone on it. Plus, everything we had was delicious: well seasoned and not overly salty. We really enjoyed sitting in the enclosed back area. The light is very beautiful. It was a little chilly sitting right by the window, but otherwise it's a very nice space. No rush to leave despite the long line of people waiting to eat. At 2pm on a Saturday, the restaurant was still buzzing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.279555138; Sentiment_Subjectivity (from 0 to 1): 0.636967419 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have since come back two times, and while I still think it's high-quality food, I'm not as blown away. In particular, the sauteed vegetable dish, when we got it a second time, was a lot more sour. It tasted like a totally different dish! The PCU noodles were a good alternative, but they were a bit heavy. Still, I'm a big fan of the $15 sunset menu. It doesn't get much better than that!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.164166667; Sentiment_Subjectivity (from 0 to 1): 0.323333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Alright, my review is creeping up a little bit(e) more after getting the Middle Eastern Vegan. The sandwich is hearty and filling and pretty refreshing at the same time. I still wish the people who worked here were nicer or more receptive to me, but what'cha gonna do. Maybe next time I go, I'll give Bite 4 stars!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1953125; Sentiment_Subjectivity (from 0 to 1): 0.453125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nerai scores major points for delicious food and impeccable service. I can count on one hand the number of places I've been with such great service, including not clearing the table until everyone is done and only handing out the menus when everyone is at the table. The food was absolutely divine. The best food at the table was the succulent duck baklava, scallops, short rib, Lamb Cavatelli, and Langoustine Linguini. Had to dock this restaurant one solid star for two major reasons: - The menu is a bit deceiving in the pricing of the langoustine main. Plus, $18 per is a hecuva lot given how difficult it was to get meat out of each. This was a big disappointment. - The vibe here is just weird. While I like the nautical theme of the booths, there seems to be no locals eating here. That always makes me feel a bit on edge when it comes to NYC dining. Also, people were dressed up super nicely or in sweatpants. Literally. I also think this is more of a four $$$$ place than the $$$ that Yelpers currently purport it to be.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.19375; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very solid and tasty. But definitely the "popular place" of this time, so there's definitely a crowd. You can't help but think you're feeding the "trend machine." Nonetheless, it's ok to be trendy sometimes, especially when it comes to delicious BBQ. Definitely pricey, but you'll be satisfied. They really know their stuff and can give you a quick rundown of your options. Amazingly well-oiled machine. Despite the joint being full, there will be a seat for you to enjoy your delicious meat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.380208333; Sentiment_Subjectivity (from 0 to 1): 0.66125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for lunch with a friend and had a perfectly pleasant time. There's nothing that totally blew me away. The menu is standard American fare with a slightly higher price tag. (It would have been nice to have some lunch specials!) We got the veggie burger - their secret chickpea recipe - ($12) and the grilled chicken sandwich ($13). The burger was good but pretty much tasted like falafel. The grilled chicken sandwich was also good, and it included pesto and sun dried tomatoes. We asked for our fries to be substituted with a salad, which was nicely done and included asparagus! The decor is classy rustic. Lots of staff around for lunch, and the space was getting pretty full by 1pm.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.17962963; Sentiment_Subjectivity (from 0 to 1): 0.681481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While this was not done on purpose, I am very glad that Cafe Habana is my 400th review. It was a wonderful meal! Yes, it's very crowded at lunch time, but you will get a seat. And it's worth it. The grilled corn alone is enough of a reason to stay. It is one of the best side dishes I've ever had - great flavor. Scrumptious. My friend and I both got the Sincronizada, "small black bean & sun dried tomato tortillas and mozzarella cheese and avocado." I know it doesn't sound like a lot of ingredients, but each bite was so delicious. And they don't skimp on the avocados, either! Service was pretty good given how crowded it was. We were practically sitting on our neighbor's laps, but that's part of the charm, right? A definite go-to spot in NYC!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.373065476; Sentiment_Subjectivity (from 0 to 1): 0.588690476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For the area, Sofia is something special. However, its a bit over priced, as other Yelpers have mentioned. The ambiance is nice, unlike most midtown bars. It feels like a true "wine bar" with its exposed brick, tight tables, and extensive wine list. The space is surprisingly loud; it was hard to hear my friend right across from me. The red wines we got were great, though, and our waiter had good suggestions based on our vague tastes. The margherita pizza we got, $14, was good to split between two people and definitely the cheapest option. We got it with mushrooms for $3 more, which, again, was overpriced but worth the extra flavor. Our water glasses were always filled, but the wait was about 30 minutes on a Tuesday night.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.224880952; Sentiment_Subjectivity (from 0 to 1): 0.507142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like this Grey Dog a lot. It has a great rustic feel with a nice buzz of noise. There's no pressure to leave quickly, and the food comes out quickly. Some of the seats are a bit more squished together, so try to think strategically when you pick your space. I was a bit underwhelmed by the tempeh bahn mi. It just didn't have enough of the fresh bahn mi flavors that I was expecting. But I will definitely try another sandwich next time I come.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.281666667; Sentiment_Subjectivity (from 0 to 1): 0.485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ***2,800th review*** You might be surprised, but I waited to review this spot for this monumental review landmark. They are by far my favorite restaurant in this neighborhood. This place has great variety and fresh options. You can't beat the prices and bang for your buck. Plus, many options are healthy. The falafel and hummus are solid. All dishes are customizable. There's no pressure to leave the tables, and they even serve beer. What more could you want?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.638888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 would like to give this restaurant a 3.5, but alas, I cannot. However, I'll break it down for you: I was surprised to be seated quite quickly on a Thursday at 7:30pm. My two friends and I had to sit at the counter to avoid the otherwise 20 minute wait. The empanada options are eclectic and spread multiple traditional cuisines, including Chinese, Polish, Cuban, and Mexican. My advice would be to get one that explictly mention a lot of flavor. For example, the rice and beans empanada and spinach empanada were not as tasty as the Cuban or Reggaeton empanadas. Also, the Reggaeton (Caribbean style roast pork with sofrito seasoned yellow rice and gandules) juiced all over me, so it'd be advised to keep the empanada in the paper pocket, which it will be served in.   I'd say the service was adequate but a bit impersonal. As with many popular places, you feel a little churned out. Our water was refilled quickly, but our waitress kept surveying the rest of the restaurant when she took our order. Also, two baskets of our food were dropped off at our counter without mentioning that some of them were in mis-labeled paper pouches. Half a star extra for playing Scissor Sisters; it works well for the ambiance. I'm glad I finally tried Empanada Mama, but I'm not quite sure what all the hype is about.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.127013889; Sentiment_Subjectivity (from 0 to 1): 0.478888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one of those cases where I dedicate a 100-review -- in this case, #1,800 -- to a truly spectacular restaurant. I only wish I had written it sooner to capture all the deliciousness. About a month later, though, I can tell you that they really outdid themselves here. Stand out dishes include the melt-in-your-mouth pork belly, the hearty baby back ribs, and the bacon donuts (with dulce de leche and coffee ice cream). No dish disappointed! For five of us very hungry people, we got about six dishes plus dessert. This was enough to satiate us -- above and beyond! The menu changes regularly, so it's worth repeat visits! Just be forewarned, without a reservation on a Saturday, my friends and I waited almost 1.5 hours... But, yes, it was worth it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.067045455; Sentiment_Subjectivity (from 0 to 1): 0.359090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perilla was definitely one of my favorite meals of 2013. Five girlfriends and I came here for Restaurant Week. As Jennifer S. mentioned, we "went rogue" and split some non-restaurant week items, and we were thoroughly pleased with our decision. We got the Fingerling & Amish Cheddar Pierogi, Spicy Duck Meatballs, and Farro Risotto. All three dishes were tasty and unique, and we tried desperately to finish each dish despite being full given how awesome they were. The ambiance was great -- casual and not pretentious. Our waiter was great with the wine selection, as well. I'd definitely, definitely come back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.259615385; Sentiment_Subjectivity (from 0 to 1): 0.73974359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 location truly does it for me every time. The market sides are a great way to get in your daily vegetables, as they are just so delicious. Their veggie burger is also really filling and packs a lot of goodness. Lastly, the people who work here are really chill, kind, and accommodating. I always feel so lucky to get here and sit without a wait! The secret is out!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.301851852; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I was a little annoyed as I waited in this tiny store for my falfel sandwich. The writing on the menu is a bit dense, and you're a bit crowded waiting for your order. There's a bit too much visual and audible distraction to really take in the restaurant. BUT. The. falafel. is. Amazing. I'd wait in that tiny store for 1/2 and hour if I had to (not more because I'd probably have the sense to call in an order otherwise!). I got the traditional flavor, which was so fresh and awesome with the hummus and israeli salad inside. The last good falafel sandwich I had was in Israel! The price is right, especially for the size. I'll be back to try their other dishes and varieties!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.12967437; Sentiment_Subjectivity (from 0 to 1): 0.51337535 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: **3.5 stars** If I felt it was fair, I'd give Green Table 5 stars alone for their fried green tomatoes. Totally awesome. The gazpacho, too, was one of the best I had had in a long time. The mushroom pot pie was also good and, as Pee Wee Herman would say, "Mushroom-y." I didn't love the crust as much as other Yelpers have; I think for me it was a little too sweet. My Harvest Salad had too few peaches and was a little too dressed with a dressing that was too acidic for my liking. I know it's hard for a salad truly to "blow you away," but this one didn't really come close, and it was meant to be my main course. Lastly, the summer sangria and summer punch were refreshing but not at all alcoholic enough for the price. The ambiance was so-so. It's kind of weird not to have any windows but a big glass window looking out to shoppers.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.15326087; Sentiment_Subjectivity (from 0 to 1): 0.507246377 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thanks to Yelp -- so thank you for all your awesome reviews. It's definitely worth checking out. There are lots of food options, and they are super fast. Prices are not amazing, but there are big portions, so if you pace yourself, you'll definitely have some leftovers. It's a bustling place and a great place for people -- and food -- watching. I'd definitely come back. This is not your "standard Asian" restaurant. There will be lots of food options on the menu you rarely see. But, don't worry, there will be some familiar items, too. Great for groups. There's lots of space.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.250520833; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is officially me new go-to Korean restaurant in the city. Not only does it have the blessing of my friend who's from Korea and will travel miles to come to this spot, but the flavors are truly delicious - even down to the little plates they bring out that include kimchi and fish. Check out the pancake and traditional casserole for some authentic flavors, textures, and experiences! This place is pretty packed - and that's a good sign!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.282589787; Sentiment_Subjectivity (from 0 to 1): 0.704826038 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't understand this place. And I felt miserable here. Ok, so I get that there's a lot of pretty looking stuff here, expensive looking stuff here - and actually expensive stuff. There was nothing pleasant about walking around here. Couldn't enjoy myself. Could barely move. Didn't want to brave the long, winding lines. What really got me frustrated was when one of the employees - and one of the higher ups - whisked a less-annoyed customer around the olive oil lines, meanwhile running into me and my friend and barely batting an eye. Literally bulldozed us over. Didn't care. Wow. Can't really imagine something that would bring me back here. And I don't really feel like I'm missing out.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.04122807; Sentiment_Subjectivity (from 0 to 1): 0.490350877 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 5 points for service - awesome, chill people 4 points for beer menu - short and sweet 5 points for ambiance - I loved the wood everywhere, the open windows, the chill music 3 points for food - sadly, the food was a big disappointment. The margarita pizza was really dry, and the mozzarella sandwich was really nothing special.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.130952381; Sentiment_Subjectivity (from 0 to 1): 0.556493506 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for a weekday evening drink. I didn't find it too crowded on a Tuesday after work. The cocktail list is pretty stellar, and the descriptions are helpful. Our waitress was a little hard to get, but the food and drink came out pretty quickly. Also, the duck nachos, while perhaps a little expensive for what they were, were satisfying and unique. Definitely worth checking out! Don't miss the ~10 tables in the back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.151282051; Sentiment_Subjectivity (from 0 to 1): 0.603205128 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cute cafe with a great brunch selection. They're all about the poached eggs, apparently. I got the hijiki salad, which was very flavorful and, well, "Asian." As for my friend who got the goat cheese sandwich - the goat cheese really overpowered the grilled veggies, and the bread was too tough. My latte was very good - one of the best I've had in the city. As much as I liked sitting outside under the awning, too many chairs were stuffed in the space; leaving the restaurant seemed to be a total inconvenience to the nearby diners. My other beef: the bathroom stalls - two of them - face each other and share a sink, which is smushed against a wall. It's nearly impossible to use the bathroom without hitting someone with a door.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.225277778; Sentiment_Subjectivity (from 0 to 1): 0.522708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ** 1,200th review ** A friend recommended Kafana as a cool and unique spot in Alphabet City, and he couldn't have been more spot on! Kafana has a charming vibe with a bit of boisterousness that really adds to the pleasant feel. Our waitresses were bubbly and helpful - and with cute accents. I'd say this menu is initially tough for a vegetarian, but all the meat options look great. My friend had the Rolovane Suve Sljive I Dzigerica (prunes stuffed with walnuts and cheese rolled in bacon with chicken liver rolled in bacon), which he said was divine and hearty. I had the soup of the day, a fish soup, and the beet + celery root salad. They were tasty and different. I was actually quite fond of the cheese meze. The cheeses were rich and abundant. They also came with a side of candied prunes or figs - not sure - that were also very nice. Cash only, people! A bit of a "yikes" moment at first, but all ended well.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.280524691; Sentiment_Subjectivity (from 0 to 1): 0.74845679 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm glad I went out of my way to check out this location. The best fried cheese ever. They specialize in seafood, and they did not disappoint: 7 large shrimp in their Greek Shrimp Special (think tomato and feta cheese). Spanikopita and potato leak appetizers were also very tasty. I wouldn't go for the side of beets, even though they seem like the healthiest option: minimal flavor and doused in oil. The dessert they bring at the end - an apple custard of sorts - was a great finish. Outdoor seating is divine, but you might have to wait. I got there at 6:30pm on a Tuesday and had to wait ~15 minutes.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.371428571; Sentiment_Subjectivity (from 0 to 1): 0.49375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 am only starting to "get into" the Asian sandwich scene, and Num Pang was a great introduction. I only got two sandwiches to go, but they were packed with flavor. I highly recommend coconut tiger shrimp and pulled pork. I stood in the small first-floor space to get my order, which was a little awkward. However, the sandwiches were done pretty quickly. Oh, and they sell ginger beer!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.053560606; Sentiment_Subjectivity (from 0 to 1): 0.617272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Four nom noms. The space is pretty basic and definitely includes some subtle Greek flare in the interior (plus an awesome mosaic wave in the back). It's on the louder side, surprisingly hard to hear my friend right across the table from me. Our waitress was definitely busy, and it took some time to order. However, I like that we never felt really rushed at this popular spot. My friend and I ordered the sheep's milk dumplings and mac and cheese. Both were really delightful. The dumplings were so fluffy, and the sausage didn't over power the sauce. A really rich, complex dish. I would definitely come back again -- soon! So many great-sounding vegetarian and meat-eaters dishes to try.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.167669173; Sentiment_Subjectivity (from 0 to 1): 0.481704261 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 case where enough time has passed that I don't remember exactly what I ate. But what I do remember is that there were no really good vegetarian options and that my friend and I left with weird-smelling clothes. The smell was very pungent. So, I'm going to leave this with a "meh." Even my non-vegetarian dish diid not blow me away.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.02; Sentiment_Subjectivity (from 0 to 1): 0.33 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friends and I randomly popped in as we were waiting to get into another restaurant, and we all agree this was a wonderful, cozy spot for a quick -- or long -- drink. The cocktails, with whiskey and bourbon themes, are on the pricer side, but they are unique and strong. There is also a modest but good selection of beers. We were particularly blown away by the pulled pork and grilled cheese sandwiches. On paper, these sandwiches seem pretty normal, but they were piping hot and really delicious. They served as amazing appetizers for our purposes, but we agree we all would have been satisfied, too, if they had been our main meal. I really liked the rustic, old time, and small town feel of the Post Office. I would love to come back in the winter, for it has such a cozy, dark feel. It'd be nice for a date or a small group of friends.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.230555556; Sentiment_Subjectivity (from 0 to 1): 0.648148148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Kate and I had a spontaneous Sunday-night dinner here. We are glad there was space! It's a cute, intimate restaurant with attentive waiters and a stunning menu. I loved the saffron rice-stuffed peppers, and even the basic mushroom dish with almonds was tasty. The portions were really stellar for a tapas restaurant. I'd definitely come back. Great spot to catch up with a friend.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.38125; Sentiment_Subjectivity (from 0 to 1): 0.652083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for dinner with two girlfriends. I love the ambiance. It's cozy without being uncomfortable and has the bustle and smells of a well-functioning restaurant. Our waiter was very chill but informative. You must get the goat cheese with the lavender honey. Wow! A bit pricey but definitely great for a small group or date night.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.096428571; Sentiment_Subjectivity (from 0 to 1): 0.685714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hearty dishes and a vast menu. Feels like a mom and pop store. The baba and falafel were really good! However, they had very meager air conditioning. It was stifling hot eating our food in the back. If my relatives hadn't been so excited to eat falafel, I definitely would not have stayed. I'd come back but take my food to go.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.09; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here for dinner tonight. We loved the special ceviche -- creamy goodness. Our entrees, the Kare Kare (oxtails braised in peanut butter sauce with grilled bokchoy, roasted eggplant, and long beans) and Ginataang Isda (pan roasted cod with seasonal greens and snap peas in coconut milk and crab essence) were very rich and delicious. Our waitress was really kind and pleasantly attentive. Had to dock a star because I found the cocktails too weak and small. Also, the price overall was a bit pricey. My friend I both spent $50 on 2 entrees, one starter, and two cocktails.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.251785714; Sentiment_Subjectivity (from 0 to 1): 0.606493506 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Why did it take 'til my last week working at NYU for me to discover this great brunch spot? The deal is great; you get so much tasty food for a low price. Go for the fried tro and shrimp+pumpkin dish. It's also worth mentioning that the walls are absolutely gorgeous. It's so nice that they took some time to work on their decor and ambiance. Service was only so-so. Make sure you have a decently long lunch break.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.577777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was only here for a couple of minutes to meet up with a friend, but I could not get over the beer list! I wish I had stayed longer! The ambiance is one step up from a regular bar. The wood paneling was nice and gave it a rustic feel. The crowd was full of people I'm sure were there for happy hour after a week's work. The area is decently spacious, though the distance between the bar and the wall - a path you need to take to get out of the bar - was perpetually congested. In addition, it took a while to get the server's attention. Anyway, for those who like beer, this is obviously a great place to go!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.374074074; Sentiment_Subjectivity (from 0 to 1): 0.681386515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with my friend and truly indulged in awesomeness. There isn't much to be said about the decor, and our waitress and waiter were nice and mildly attentive (but definitely available!). However, you can tell this is a good place based on the crowd that's here and the wonderful smells. Thanks to reviews, we knew we wanted to order crispy catfish, roasted duck salad, drunken noodles, and BBQ chicken with coconut rice. (Because of the size of the menu, I definitely suggest checking out reviews before getting there. Otherwise, the menu, which has pictures, can still be overwhelming.) We both agreed that the drunken noodles were the best. They weren't too greasy and had a better, more unique taste than drunken noodles you can get elsewhere. The crispy catfish was really unique and tasty, too. The way they make it, it's ground and somehow made fluffy. It truly melts in your mouth. Despite having read good things about the duck, I'd probably skip it next time because we got more duck skin than duck meat. I liked the lime and cilantro, though. As for the BBQ chicken, it wasn't particularly special. Glad I finally got to try this NYC gem!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.337797619; Sentiment_Subjectivity (from 0 to 1): 0.661309524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *** 3.5 stars *** My favorite part of NSFC is its rustic feel, even down to the milk bottles in the bathroom. It's quite noisy, and I'd suggest getting a counter seat if you can because, as many reviewers mentioned, this place is out of control popular. Nonetheless, Emma H. and I were seated right away at 1pm on a Sunday because we sat at the counter. I'd even recommend the counter over other seats because you can look away from the busy-ness in the rest of the space. The brunch menu is short but eclectic. Emma mentioned that the French Toast is to die for and that the polenta and eggs were a bit "heavy." I went for the kale sans eggs, which our waitress suggested wasn't the best move because the eggs made it "brunchy." Nonetheless, I tried it without eggs ($11, $3 for two baked eggs). It was definitely kale-y and light. There was a bit too much cheese, but I felt full afterwards. Emma got the chicken sandwich, which was tasty but a bit fattier than the last time she got it. The chimichurri sauce was damn good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.203244631; Sentiment_Subjectivity (from 0 to 1): 0.486251167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm pretty torn. The food was excellent, and my friends and I had a great time. However, the great time has little to do with the restaurant as we received such poor service. Five stars for the food. Absolutely. Five stars for Mark, who killed the COCKROACHES that were at our table. Yes, that is plural. A few other low points: 1) Our waitress, who overall was not attentive and generally pretty rude, lied to us about the cost of a "comparably priced" white bottle of wine, which was actually $13 more than we wanted to spend. 2) Although we had alerted our waitress days before and on the same day that one of our friends had a gluten allergy, we did not receive the dish without bread. Thus, the waitress offered to do the dish over without bread [as it was her/the restaurant's fault], but we were still charged $30 extra. This move alone is absolutely infuriating. 3) We confirmed twice that we did NOT order risotto, yet the risotto still made it to our table. (Luckily, this was taken off our bill, but come on! Listen to your customers!) 4) Overall, we were lied to about the heaviness and amount of food we had ordered. Our waitress told us to order two extra entrees that we ultimately did not need, by far. 5) Umm, yeah, and the cockroaches. Three of them. We noticed them as we were ending our meal, and Mark came to the rescue, even though he was not working our table. (Our waitress was nowhere to be found.) Because of the cockroach, we got free shots and one of our wine bottles was taken off our bill, but I think given that this restaurant has such a high reputation, this compensation does not cover the disappointing experience we had here. Taken all together, I have no other choice but not to recommend this restaurant.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.082213542; Sentiment_Subjectivity (from 0 to 1): 0.551510417 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with a few girlfriends for happy hour. House wine (Bordeaux and Riesling) and house juice (cuke, ginger, and mint) were tasty. Smoked devil eggs were also nice. Love the simple touches and rockin' ceiling. Waiters were nice, but there seemed to be too many for the crowd during this time frame. On the younger side. Would come back again to try some more food and juices!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3425; Sentiment_Subjectivity (from 0 to 1): 0.505714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 perfect restaurant to visit when they have the windows wide open. You feel like you're in a country home or a farm with the New York avenue street traffic whizzing by. We got a great seat at the front, right by the windows. Our waitress was really nice and attentive. The guac appetizer was large and filling. (You'll probably need to ask for another round of pita bread.) The menu isn't very, very long, but there are lots of awesome things to choose from. I had the When Veggie Met Sally salad, which was basic but had an awesome veggie patty dispersed around it. The chicken sandwich, I was told, was also good. I have a feeling - and have heard - that brunch is the ideal time to come here. I do plan to come back for brunch because that's my favorite meal, but I wouldn't totally diss dinner. Dinner is a good time to come, as well. Penelope has a very chill atmosphere and delicious food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.368320158; Sentiment_Subjectivity (from 0 to 1): 0.66147092 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not afraid to do it: I'm going to give Cuba a solid five stars. Everything we ate was divine, and we wanted to keep eating more. My friend and I were seated in the back, which might have less charm than the front, but you feel like you're in someone's garden, and the space was a lot quieter. Our waiter was unobtrusive and pretty matter of fact. Sangria happy hour! The white sangria was a bit more cirtus-y than any we've had before, but it was quite refreshing and did have some punch. But the food! Yum! We got four appetizers, which I think was an awesome strategy for this place. I cannot pick a favorite. We got the Tiradito De Pargo (marinated red snapper, lemon citrus, red onions, jalapeno, cilantro, and fresh mango), which was a great combination of citrus and sweet; the Ceviche Mixto (shrimp, calamari, scallops marinated in lime juice, cilantro, red onions, and avocado), which was so refreshing and not too fishy; the Papas Rellenas (stuffed potatoes with cheese); and the Yuquita Frita (crispy yucca with cilantro dipping sauce). The textures and flavors were truly divine. A high, high recommend.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.330218254; Sentiment_Subjectivity (from 0 to 1): 0.526031746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, their cheapest burger is $17, and caramelized onions + cheddar might not sound enticing enough to go and order it. But you really should. It was such a great burger, very memorable, juicy, and satisfying. If you see other people eating it around you and you don't have one, you will be sad. And you don't want to be sad. The fries were also perfectly crispy and salted. The fun, historic atmosphere and great service top off this great experience. For lunch, it was a great spot to escape from the world and have a good conversation.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.318055556; Sentiment_Subjectivity (from 0 to 1): 0.626388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for dinner and had a very delectable experience. Wine list and cocktail list are very nice. There's something for everyone. We started with a crostini special with egg, mushrooms, truffles, and greens. Had a really nice, unique flavor, and we ate it 'til the last drop. The pea-mint ravioli was definitely the winning entree on the table; the Lumache (with duck sausage, broccoli rabe and fresno peppers) was good, but the pasta itself did not taste amazingly fresh, especially compared to the ravioli. Nonetheless, the flavors were really good. We devooured the La Fantasia di Visciola for Two, which was incredibly refreshing and rich. I love the dark wood and large windows. The look is classy bistro. Really glad I finally got to check out this spot!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.327571429; Sentiment_Subjectivity (from 0 to 1): 0.698333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ** 3.5 stars ** My fiance and I heard from multiple people to check out Saraghina, so we went at 7pm on a Monday. I love the rustic chic vibe of the place. You feel like you're in a classy barn. Service, as many Yelpers have mentioned, was a bit spotty. It was unclear why waiters kept passing us, but I guess that's because there was one waiter who was meant to be taking our order. When we were almost finished, our plates were quickly taken away -- as in, we were not quite done yet. Bummer. Our proscuitto and funghi pizza was really, really good. We split it and ate every last piece. It was a great balance of flavors, and the cheese was particularly good. We both also got cappuccinos. They did not have skim milk but switched with soy. We both agreed that the espresso was really good, and it really did the trick.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.412121212; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 forever dream of the delicious roasted spaghetti squash toast. I almost took the empty plate and licked off the rest of the garlic confit spread. I could eat that toast for the rest of my life and be happy. Absolutely delicious. Chill spot with really nice touches, like the cymbal lights. Nice and diverse wine and beer menus. Nice selection of whiskeys, too.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.642857143; Sentiment_Subjectivity (from 0 to 1): 0.928571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stepping into Lamazou makes you feel like you've entered another era. I love the old school feel. However, the speed is still fast, and I got yelled at for not knowing when one orders a sandwich, you need to include all the fixins, bread type, etc. It was a bummer, because it was my first time there, so when I asked for a different type of bread after the fact, that disrupted the flow. Or something. (I actually don't know why he couldn't have asked me about additional elements of the sandwich when I first ordered. Whatever.) Definitely expensive. Yikes. But high-quality ingredients. Don't go for the gazpacho. It was liquidy and not very refreshing. Not sure I'd come back again, honestly. At least, I don't plan on rushing back. But if I do, I'll be sure to update my Yelp review, as it seems like Lamazou should be better.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.070512821; Sentiment_Subjectivity (from 0 to 1): 0.460911681 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 always found great wine here, but I was really blown away during my latest trip, when I finally had some of their food. I was really blown away. I got the mushroom prosciutto pasta, and even though I set half of it aside to take home, I must confess, I ate the "leftovers" as soon as I got home. The honey truffle goat cheese was also divine. I hope to have the opportunity to eat -- and drink -- here again soon!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.248611111; Sentiment_Subjectivity (from 0 to 1): 0.536111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, love, love Taim's flavors and options. They are very generous with their portions and have a menu with something for everyone. Had to dock this location a star, though, because it's way too crowded. I appreciate that they have more seating that the West Village spot, but each spot is too squished. Even if you're taking your food to go, you're waiting in someone else's lap.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.44; Sentiment_Subjectivity (from 0 to 1): 0.52 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really loved Grainne. It has the feel of a true French bistro - except maybe for the non-French music. Our waitresses were really chill and nice. My boyfriend and I went for the salmon and sausage baguettes. I really liked the salmon with egg: very fresh and unique. The sausage was heftier and nicely flavored. Both came with a lightly dressed salad. I would definitely recommend this place if you're in the Chelsea area.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.383181818; Sentiment_Subjectivity (from 0 to 1): 0.663636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As my eating partner in crime, Janie W., says, this place had well-cooked food, but everything was way too salty. If you want something relatively exotic, like gizzards or knee bone, and if you happen to be in the area, this is definitely a go-to place. I wouldn't recommend the Mizore Gake (deep-fried eggplant & mochi with sweet spicy sauce containing daikon and nameko mushroom); the mushrooms were nice, but everything else was way too soggy and salty. I would have given it three stars, but the final blow was that while the black sesame ice cream was a good finale [to such salty food], they were unwilling to give me two different flavors of ice cream even though the presentation was clearly two, clearly distinguished scoops of ice cream. I don't think much more effort goes into two separate scoops, for real.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.221794872; Sentiment_Subjectivity (from 0 to 1): 0.603846154 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decent atmosphere, though it didn't have the charm I associate with other "gastropubs." It felt more like a sports bar. Beer selection was large but not necessarily interesting. (Check Valhala for that.) My fiance loved the saffron mussels, and it actually came with a big quantity. The lamb sliders' wasabi wasn't detectable. Pretty sure I wouldn't go out of my way to come here again, but after passing by it a few times, I'm glad I checked it out.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.187996032; Sentiment_Subjectivity (from 0 to 1): 0.538260582 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with my cousin for a light dinner and wine. Needless to say, this wine bar has a great wine selection, I'd say one of the best I've seen in a long time, and the waiters here know their stuff. I found the menu a little varied, but if you do anything, get the lamb skewers. Delicious. The burrata and beet salad were also divine; they'll bring out more bread for you with blinking an eye, as well. I don't find the tall tables as comfortable as a lower down tables, but there's a decent amount of seating. The trick might be to come when it's raining, though, because on any average after work day, there's going to be a crowd.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.268634259; Sentiment_Subjectivity (from 0 to 1): 0.608796296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Truly awesome. Robert was a master waiter - entertaining and informative - and the food was delectable. My friends and I tried the truffle burger, royale burger, and duck burger, and they were all excellent and decadent. We also got the truffle fries, sweet potato fries, and mash potatoes. One suggestion - Sweet potato fries could have had a little less sugar, but it was all delicious. Otherwise, I loved everything. Also includes a great beer and wine selection.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.534583333; Sentiment_Subjectivity (from 0 to 1): 0.711666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When I come to Banh Mi Saigon, I know I'll be in and out quickly with a large, warm, delicious sandwich. Service is quick, and you can't go wrong with any of the sandwich choices. Seriously, the quantity you get is so much better than any other banh mi sandwich shop in all of New York. Introduce a friend to banh mi for a low, low price. Enjoy the streets of Chinatown as you munch on this simple but savory sandwich. My only surprise was that given all the hype, the sandwich was obviously pre-made, in a bag, ready to be purchased. I don't know how much earlier it had been assembled, but it was a little surprising. I will definitely be coming here again!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.15578489; Sentiment_Subjectivity (from 0 to 1): 0.541996496 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with four girlfriends and sat outside. We stayed a while, in part because it was a nice evening but also the waiters were a little slower than your average New York City restaurant. Also, they totally missed my seafood risotto order, which put me behind my friends in terms of eating, but they made it up to us with a free extra bottle of wine. (This was a nice touch, but I almost would have rather they took my dish off the bill, as not everyone was game for drinking more wine. Woe is me.) The dips trio appetizer was large and tasty - a great crowd pleaser. The greek meatballs were also good. The menu is pretty large, and everyone enjoyed their respective dishes, including a fish dish, pasta dish, and burger.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.188871753; Sentiment_Subjectivity (from 0 to 1): 0.533084416 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ** 1,000 review ** Everything about Tia Pol is a-ok to good. It was some of the better tapas I've had in New York City at New York City price and portions. At first, I was excited that my group of five was seated in the back, for there's more space. However, we were seated at a long table, and by being at the end, I missed about  of the conversation. That's also because the music was playing on the louder side. I was also not impressed with the lack of décor. When I think of tapas, I think of "fun fare" and expected a little bit more on the walls. My friends and I ordered so many yummy dishes. You have to get the artichoke salad. The dressing is heavy, but it's lemony goodness. (Maybe ask to go light on the dressing?) The fried chickpeas were also unique and worth checking out. I also liked the squid ink dish, but there weren't many pieces of squid, and the pieces were on the smaller side. (But, yummm, ink!) The fava bean spread was nice and subtle as well. Lastly, we also got the almond cake and custard ball desserts. Both were pretty good, but I wasn't totally blown away by either of them. I'd recommend the custard balls (4 in a order) over the almond cake, I think. Unfortunately, the evening ended with my friend's Tia Pol gift card not being accepted because it incorrectly came up as having no balance. (You'd think that if the card had already been used that the restaurant would have kept the card, right?) The manager was apologetic, but the event unavoidably soured the experience. Then again, the price wasn't too bad in the end even without the discount.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.157425257; Sentiment_Subjectivity (from 0 to 1): 0.544108496 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with my parents, and it was perfect. It's a bright, nicely-decorated restaurant with a great wine list. There's something on the menu for everyone. Even the bread basket was great. I got the saffron risotto balls and the Arugula salad. They came out as a hefty salad and great-tasting balls... My family also got some great-tasting dishes. There was a black linguine pasta (squid ink!), which was pretty awesome. The breaded chicken was pretty flat and a bit dry. It was probably the most disappointing dish on the table. This place can get very busy, so I suggest coming for an early dinner. Many of the dishes have two size options, which is really great.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.313529412; Sentiment_Subjectivity (from 0 to 1): 0.679313725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally made it here for brunch. YESSSS, a new favorite brunch place in the city! The sangria. Come for the awesomeness of eight types of unlimited sangria, types you haven't seen anywhere else. Now, I'll put out there that the food quality doesn't match the awesomeness of the atmosphere, but the menu has a lot of variety, and you will not leave disappointed. Besides, your stomach will be too excited about the sangria to notice the average food. Get reservations! And make sure your whole party is there, because you can't be seated without everyone.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.112357955; Sentiment_Subjectivity (from 0 to 1): 0.705429293 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To be honest, I ventured to Ippudo mainly so I could write my review, to "put down my flag," so to speak, on a well-known, highly-heralded restaurant in New York City. And that is, pretty much, what I've come to tell you today. Because of all the advice from Yelpers, I decided to come right when it opened, at 11am, for lunch. Good choice -- we didn't have to wait a second! This restaurant does a good job making you feel like you can have a private moment in a large, open, loud space. The communal tables, even, feel not ridiculously tight, in part due to the chair design, which reminds me of a cube. (Trust me, you'll get it when you see it.) My friend and I went for the pork buns and the Akamaru Modern (original tonkotsu soup noodle with pork belly chashu, cabbage, kikurage, and scallions). It was dense but definitely damn good. (At $13, you'd better hope so!) Interestingly, both my friend and I felt that with each bite, the flavors and experience got better and better. There's really nothing to complain about regarding this visit, but I'm not falling on top of myself to get here again. Then again, for any foodie, it is a must. In the words of Eddie Izzard, "We stole countries with the cunning use of flags. Just sail around the world and stick a flag in." So, Ippudo, here's my flag!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.268954091; Sentiment_Subjectivity (from 0 to 1): 0.489880284 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the menu here but was disappointed that my tamarind tofu sauteed dish had cold broccoli in it! It was definitely not frozen, as the veggies were fresh, but they had clearly not been sauteed enough. In addition, you kind of feel pushed out. I know this spot is popular, but three different people shouldn't come over to take the bill within 5 minutes. A bit disappointed in this one after otherwise solid experiences.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.025; Sentiment_Subjectivity (from 0 to 1): 0.623611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with Lori N. and had a delightful, authentic-Italian dinner. Their lunch specials are stellar: we got the potato leek soup and vegetable panini for $9.50 (that's with tax). The potato leek soup was a different type than I've ever had -- a bit chunky. Needed some salt but was tasty. The panini was very hearty. The bread was stellar. Be sure to get some of their delectable olive oil from the shelf, too. There's only enough seating for, like, 6 or 8 people, but stay if you can. The vibe is wonderful.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.355555556; Sentiment_Subjectivity (from 0 to 1): 0.643209877 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely not one of my favorite dining experiences. The space is so loud. Even sitting in a corner, it was hard to hear my four friends. It was hard to get the waiter's attention all night. When we wanted to split the check three ways, the waiter was visibly annoyed. Dishes were ok, nothing special. There are definitely better Turkish places in the city, with nicer staff and better dishes.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.147380952; Sentiment_Subjectivity (from 0 to 1): 0.62547619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Have only been once, with coworkers for lunch.  We didn't realize how tiny it was, but they were very accommodating in seating the 6 of us.  Most of us followed the waiter's suggestion and split the 3-dip appetizer and got the lamb sandwich as the entree.  Boy, did we over order!  The dips were good, but it's what I expect from hummus-type dips.  However the lamb sandwich was amazing -- I was expecting slices of lamb to the pull-pork style of lamb was a surprise.  The texture, the cinnamon-y flavor, the crusty bread... Oh man I'm drooling on my keyboard just thinking about it.  Half-sandwich is more than enough for a light lunch and eating the whole thing can lead to food coma.  Definitely coming back to Snack!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240384615; Sentiment_Subjectivity (from 0 to 1): 0.492307692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While not the best classic banh mi in the city, Siagon Shack's version is tasty. Also nice change of pace to be able to enjoy sit-down waiter service with it. BF & I both ordered it spicy and had to add siracha for some true heat. Although the last few bites were super spicy due to a hidden pile of chilies!  Iced Vietnamese coffee was strong and good. The staff was very friendly and the water refills did keep coming. Bathroom was clean too, which is a rare find in that part of town.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.319010417; Sentiment_Subjectivity (from 0 to 1): 0.522916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to Himalayan Yak once but am definitely looking forward to going again.  I've only tried Tibetan food once before and wasn't very impressed.  However Himalayan Yak has certainly changed my mind about momos!  Went as part of a foursome so we ate family-style in order to try as much as possible.  We started with the yak momos and it was delicious. We also had the goat thali, fried meat patties, the cellophane noodle soup, and a veggie tofu w/ tingmo dish.  The latter was the only weak dish, but that's because it was a generic stir-fry dish, but still tasty.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.172077922; Sentiment_Subjectivity (from 0 to 1): 0.699675325 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Taboonette is a much better value than their big sister, Taboon.  While the desserts at Taboon are delicious, the main entrees are eh.  Taboonette conquers that issue by having great sandwiches at a very reasonable price.  They're all freshly made (yes, this means there is a slight wait). The lemonade is my go-to refreshing drink. Definitely a great place to grab a bite before movies or bowling. Looking forward to trying their breakfast sandwiches next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.378181818; Sentiment_Subjectivity (from 0 to 1): 0.534545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a flat white kick lately and Yelp reviewers did not lead me astray with recommending Little Collins' version. The presentation was part of the charm (who doesn't appreciate the Aussie accent!) and the teal chinaware was a refreshing change from the usual white cafe mugs. Almond croissant was not overly sweet (I'm looking at you Au Bon Pain), which complimented the coffee. Not sure it's a good spot to linger, but definitely a quiet spot in Midtown.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.044602273; Sentiment_Subjectivity (from 0 to 1): 0.449747475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 would give it 4 stars if there was seating, but for an expensive take-out pizza place Artichoke's is pretty darn good.  It was our first time and our eyes turned out to be bigger than our stomachs.  We went for lunch on Saturday around 12:30pm and were surprised that we were the only ones there.  We got 2 margherita slices, 1 Sicilian, and 1 spinach-artichoke (4 slices for $14!!). That turned out to be way too much pizza for the two of us because the slices are a bit stodgy.  The Parmesan cheese was deliciously sharp on the margherita slice.  The spinach-artichoke slice is as good as they say - creamy and gooey.  Would go back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.143181818; Sentiment_Subjectivity (from 0 to 1): 0.598484848 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dangerous living so close by, yet very alluring to become a regular. The ground floor tavern is usually crowded in the front by people waiting to go to the upstairs cocktail room, but there's usually some breathing room towards the back where you can wonder about which British/Irish groceries to buy (do I really need a jar of pickle jam?). The tavern's food & drink menu isn't as extensive as the cocktail room, but both are very good and more importantly the chips, shepherd's pie, and lamp chops are on both. Haven't had a bad night there yet!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.019583333; Sentiment_Subjectivity (from 0 to 1): 0.438076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since it's a bit off the main Christopher St drag, you have a better shot of getting a sidewalk table. The house pinot grigio was surprisingly good and set a nice start to the meal. The focaccia house bread's very flavorful with rosemary & herb.  We started with the grilled calamari salad, which had a wonderful char. The spinach gnocchi is as good as everyone says - I'm not a cheese sauce fan but could appreciate the richness of this one. I had the tagliatelle ragu - the fresh pasta had a nice bite but the ragu could have used a bit more seasoning.  Luckily they provide a black pepper grinder and a mug full of parm for the table. We were so full that dessert was skipped - next time though!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.377083333; Sentiment_Subjectivity (from 0 to 1): 0.548177083 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First time at the new location (now closer to 5th Ave), but the the food was as good as before. It's incredibly busy but the buzzer system helps make the wait a bit more bearable. Was part of a large group and did not grill at the table. The BBQ does not come with lettuce wraps, but it was still darn tasty. The banchan selection was nice - do like the individual fish dish. Japchae noodles, pancake, tofu stew, bimbimbap, and beer were all good too. For 9 people, it came out to $30 each including tip.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.355627706; Sentiment_Subjectivity (from 0 to 1): 0.512938913 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Woorjip is what good fast food tastes like.  The hot & cold buffet is delicious as are the packaged meals.  I'm looking forward to trying their soup noodles one day when I can linger over lunch. Really good comfort food and I found the service better than at Food 32 (granted 32 just opened and is still having some starting hiccups).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.34375; Sentiment_Subjectivity (from 0 to 1): 0.65625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As everyone has noted, this place is delicious and still quiet a scene.  We were lucky enough to be seated relatively quickly in the bar section on a busy Saturday (granted the hostess' estimated wait of 10-15 minutes turned out to be 30).  Took my MIL (who was a loyal Rene Pujol fan) and even she enjoyed it.  There are less expensive French restaurants in the city, but you come here for the atmosphere.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.175757576; Sentiment_Subjectivity (from 0 to 1): 0.524242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first visit lived up to the hype. It was just after 11am on a Tuesday so no crowds to deal with. Although I was amused by the 2 women at the table next to me who decided to order the kale salad without the fried chicken.  Uhm... why did you come here then?! The fried chicken was amazing - have to say it was better than Hill Country Chicken. I had the Chicken Bacon Egg sandwich with a side of the hot sour pickles. Yum!  Home fries were a bit of a miss for me, so may try the grits next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.103409091; Sentiment_Subjectivity (from 0 to 1): 0.589393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Even though I didn't have a great first experience, I was willing to give it a second chance since maybe it was due to them being recently open.  We went back this weekend and still wasn't too thrilled with it.  We got 1 small pizza, 1 small pasta, and 1 glass of wine and it came to ~$45 for mediocre food. Inatteso's success is mainly due to location, location, location and really strong cocktails. It felt like they were trying a bit too hard to be a hip happening place.  Not as good as Adrienne's at all.  Probably won't be coming back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.105392157; Sentiment_Subjectivity (from 0 to 1): 0.43872549 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went to Crepes du Nord due to  their opening week special of a free bottle of champagne per table.  But that's not the only reason for the 5-star rating -- the crepes were the best that I've had in New York, maybe ever.  We shared a Prosciutto di Parma that had Ricotta, Arugula, Black Pepper, Lemon as well as the standard Nutella & Banana.  The Proscuitto one was amazing - the ricotta was incredibly creamy & sweet with complimented the argula's bite.  The nutella one was much better than the generic street fair crepes.  The waiter did his best with the full house crowd considering he was the only staff.  I hope Smorgas (the parent restaurant) hires some more wait staff for this place soon because I do plan on being a regular.   2 sodas, 2 delicious crepes came to ~$26 -- can't beat that deal!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.375091991; Sentiment_Subjectivity (from 0 to 1): 0.560561522 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a bad spot in the Times Square area. Can get really crowded, but usually a good atmosphere. The pulled pork french fries are yum.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Not Spam</s>