Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Momofuku ramen is tasty, and the pork rolls are pretty good, but overall, I probably wouldn't come back. I feel like we can get better value elsewhere, without the 30-45 minute wait for a seat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.29; Sentiment_Subjectivity (from 0 to 1): 0.42 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 today with a colleague. We ordered a cat fish sandwich lunch special and fried oysters.  The plate came with 6 fried oysters served on an oyster shell. The fried oysters were tiny! I don't think my last oyster even came with an oyster. It was so small and didn't even have oyster taste I think it was nothing but flour. At $12/plate for just 6, they could have given larger oysters. They used to serve larger oysters for this plate. Not sure what happened today. The other reason why I only gave this place 1 star is the way they handled my water situation. I was super thirsty and took a big gulp of water that was provided to us. I immediately spit it back out and smelled the glass. It had a strong smell of dish detergent.  Now I understand that sometimes, things happen and glasses aren't rinsed as well as they should be. But this wasn't that case. This tasted like they put detergent in the glass and forgot to rinse it out and just filled it with water. When I spit it back out, there were large soap bubbles! That's how much detergent was in there. The waitress apologized and took it to the back and even said "OMG you guys..." Which I overheard. She too smelled the glass of soap water and was mortified. No manager/owner ever came by to apologize or offer something for free for this failure on their part. They could have offered 20% discount to really show that they were sorry or even taken off one of the items that we ordered. Nothing was offered. That just goes to show me how much they value their customers...they don't! We will not be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.058333333; Sentiment_Subjectivity (from 0 to 1): 0.430439815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 you'd expect, if you've read anything about this place, the beef marrow & oxtail marmalade is delicious and definitely worth trying. I had a shrimp and ravioli entree and my friend had the sweet and spicy catfish - both were very good. I suppose I'm going 4 stars over 5 because the entries were all pretty simple (well executed, but not really exciting) and the prices were on the higher end (though not out of line). Overall, it's definitely worth checking out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321; Sentiment_Subjectivity (from 0 to 1): 0.528714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What they say is true, "Some of the best ramen you'll ever eat here in the states." My girlfriend and I went in after hearing about the hype and expected a hefty wait, but were surprised when we only had to wait about half an hour.  Not bad on a Friday night.  It fit perfectly, as we had a chance to grab some wings and beer at the bar, and the hostess was kind enough to wait for us to close out our tab before taking us to out table. Keep in mind, you won't get a table to yourself, as it's a bit picnic table style seating wise, but you'll hardly notice the other people at your table.  The ambiance and decor was slick, and there's a vibrancy to the restaurant as the hosts loudly yell out to the kitchen every time new guests enter the dining area. But again, it all comes down to the ramen.  It isn't particularly cheap, but you can absolutely taste the quality.  The broths are amazing and the braised pork is ridiculously good and worth the extra money.  Oh, and it's nearly impossibly not to get the extra noodles.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.237723388; Sentiment_Subjectivity (from 0 to 1): 0.57763209 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here with a yelp deal and still spent like $60 extra...what can I say? We just love shells...oysters, mussels, cherry stones, you name it. So, we ordered the Canadian Club (with 3 pours of beer) cuz we just love those PEI oysters! Then, we ordered a half dozen more of West Coast ones, including Kumamoto (my favorite!), Hood Canal, and Skookum. Besides raw oysters, we also had several Cherry Stones and Little Necks. All were very fresh~ After the raw shells, we ordered the New Orleans Mussels. The quality of mussels (average size mussels) here is not comparable to those at Flex Mussels, but the broth/soup is amazing! We keep dipping the bread into the soup and devoured everything very fast. We were still not really full after the mussels, so we just asked our waiter for recommendation on fish. He recommended the red snapper with salad on the side and we decided to go with it. The snapper was by the pound ($19.99/lb) and our fish was about $32! It looked great and my fiance absolutely loved it. I was actually not tooo tooo crazy about the Snapper, but it was nevertheless very well prepared. Anyway, we will definitely be back soon, especially after I learned from Nicole N that there's $1 Oysters at Happy Hour btw 12-6pm. Yup, another incentive to get off work early and indulge on seafood...wait, I don't think I need an incentive. =P PS: They do take credit cards, service is a bit slow, but food makes up for it. Note that this is one of those restaurants where there is an open kitchen right in the back and it's a what I call "hole-in-the wall" place; so, if you're one of those who only enjoy dining at fancy restaurants, you won't like it here. Otherwise, ENJOY!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.164587054; Sentiment_Subjectivity (from 0 to 1): 0.506363737 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ah, Vanessa's Dumpling House. A staple in the cheap food district that is the LES/Chinatown border. A haven for foodies who aren't swayed by rushed experiences in cramped, hot dining rooms. The dumplings are amazing, duh. And you can watch them masterfully craft them while you wait in line, too. But their menu doesn't stop there. In the rare occasion that you manage to snag a table in this place, I recommend you hunker down and revisit the counter to try their soups or their sesame pancakes (which are to die for). Also, don't neglect their cold case when you walk in. Vanessa's sesame seaweed salad is the best I've ever had, seriously. At uber-cheap prices and with authentic dining experiences to be had, this is a must-do for any New Yorker, as well as a great recommendation for visiting friends and family. Just remember not to make eye contact with anyone waiting for a table. The guilt is relentless.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.276728827; Sentiment_Subjectivity (from 0 to 1): 0.704623155 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good, but not great.  I was really hoping for great. Maybe it was my fault.  I went with high expectations. Maybe it was what we ordered.  Two specials...  Maybe next time will be different. + Service was good - if not a bit *energetic*. + The curry pumpkin soup (of the day) was really lovely.   + Outdoor seating in Sunnyside is always fantastic! + It's a really nice neighborhood / family place. + Prices are fair. - Crazy AC exhaust spray (dangers of sitting outside). - Neighboring bars choice of music (not really their fault, I know). - Servers *energetic* crazy antics. - Overall food experience. Runny mac n' cheese.  Egh to OK, Chorizo and Clam Linguine (pasta of the day). I will definitely give this place a few more tries (I need to do a Monday for sure!) before I write them off completely.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.214807692; Sentiment_Subjectivity (from 0 to 1): 0.535726496 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 TRY THE GREEN TEA MILLED CREPES! FOOD: This time we tried the Miso soup and one of their specials, Katsudon. The soup was okay. I didn't like it that much. Katsudon is some form of deep fried pork cutlets served with rice and shredded cabbage. The food was tasty. But the real surprise was the dessert- green tea milled crepes. I have no word to describe how delicious it was. I totally loved this very innovative sweet dish.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.286363636; Sentiment_Subjectivity (from 0 to 1): 0.540909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ive been to quite a few Asian/Korean influenced restaurants, all tho this was great, there just wasnt anything special about it. I came here around 12:30 on a lunch date w/5 other people. This place was way too packed, we had to make reservations. We were crammed at the little table and the waitors could barely reach all of us. It took about 10 mins to get water, then put in our order. Soju was a plus and it came on ice! The choices for me to eat--were very small. Literally maybe 3 options, everything was over priced and contained some form of meat. Usually other Korean restaurants have more options and have realistic prices. The spread of Korean apps were great. Could have used more, especially for 6 people. As usual my soup came out extremely hot and it was barely a seafood soup. Had maybe two clams, one shrimp and bits of little pieces of squid. Pretty fucking cheap if you ask me. The "lunch specials" were $12 and up and really there were 5 choices to choose from and were more expensive for $12. Ive paid less, if not the same and had more choices, more seafood in my fuckin seafood soup than this. The waitors were nice and tried to work with us--it was super fucking packed. NOpe i wouldnt come back, ill stick to places that have reasonablly priced items and more of a choice for me..oh yeah and  a seafood soup that has seafood in it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132124256; Sentiment_Subjectivity (from 0 to 1): 0.510409226 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 got there around 1:10. The wait for 2 was 50 minutes. They have a great system where they text you when your table is ready. We got the text around 2:30. I'm not a big fan of waiting but my friend and I took a walk and grabbed a pre-brunch drink next door. I ordered the chicken bacon egg and cheese. It was good but for a hot, humid day like today, it didn't really hit the spot. I'll also caveat that we had no idea what to expect so when we were presented with Southern goodness, we had to get in the right mood.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183571429; Sentiment_Subjectivity (from 0 to 1): 0.448571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yum. Great lunch/brunch spot. We usually go to Queens on the weekends to satisfy cravings for Filipino food. However, weekend subway service has been so horrendous lately that it's just more hassle than it's worth. Hence going to Jeepney. We ordered the Arroz Caldo and Bulalo Hash with an extra bone marrow. Both dishes were excellent. The rice porridge with the tripe was very garlicky and tasty. Some of the tripe pieces were tough, but all had good flavor. The egg-topped short rib hash was hearty. Loved the bone marrow the best. The bones were large and yielded an enormous amount of marrow. Salted and roasted perfectly. There was some initial confusion, as they left off the extra bone, but it was served quickly to us. I'm amazed the bone marrow was so cheap. Also great - order the mango juice - so amazing sweet and refreshing!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.343349206; Sentiment_Subjectivity (from 0 to 1): 0.53447619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Foods were delicious, that's why they still have two stars. I don't know what's wrong with their kitchen, but I only know my friends and me spent an hour waiting for the hotpot, that's ridiculous, especially we were the first customer. Hope they can improve their speed and maybe the service attitude. Yeah I am talking to you, white hair Japanese girl.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.035185185; Sentiment_Subjectivity (from 0 to 1): 0.592592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 placed a few orders to go from Samudra.  All of the staff have been very pleasant every single time.  The few times I have had to wait for my food, I have been offered water and once a small dessert.  The prices are very fair for great portions and quality ingredients.  I have not ordered something that I did not enjoy.  Their coconut water is great as well.  Although I have no "dine-in" experience, I deduce it would be a lovely experience based on my take out experiences.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.304190476; Sentiment_Subjectivity (from 0 to 1): 0.556428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Chinese food is as ubiquitous as American food, and just as diverse. But let's be honest, we can't singularly define American food as hot dogs and apple pie. The same can be said for Chinese food, its definition spanning 25 regions in an area as large as the United States itself. "Teo Chew" is an area located in the south eastern part of China, and Bo Ky (sounds like key) specializes in this style of Chinese food. It shows in their seafood and noodle soups, which is what you should order when you enter this plain establishment. A note to all the weight watchers: this place uses oil like the French use butter. A bowl of hot noodle soup will run you between $4-6. (My party of 4 on this particular night ran $25, tip included.) The wonton flat noodle soup comes in a delicious and rich broth. The dumplings are filled with juicy meat, and the homemade beef (meat) balls have just the right soft texture in its bite. It's not gummy or rubbery at all. The crowning glory of this nondescript joint is the beef belly flat noodle soup with its thick tomato base that sings of a myriad of flavors my tongue is only too happy to slurp. Simply put, it's darn delicious. But once again, I must warn the uninitiated, if you're not comfortable eating beef parts other than muscle, you might want to stick with the seafood soups. By the way, try the homemade hot sauce (the red one on the two jar condiment holder on the table.) Sure it's a bit oily, it'll warm you up on a cold rainy night.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132422969; Sentiment_Subjectivity (from 0 to 1): 0.528699813 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bonjour! This is just an amazing little piece of Paris in the Big Apple! Yes, it's the only one in the US. Yes, it is pretty pricey. Yes, you will most likely be waiting in line. And yes, their macarons are fabulous! They have a wide variety of flavors so they have something to satisfy every palate. The rose petal and caramel with salted butter are among my favorites! Try it at least once in your life, you'll be glad you did. If you are a Gossip Girl fan: This is one of Queen B's fave spots! Enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.241346154; Sentiment_Subjectivity (from 0 to 1): 0.711538462 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Never a bad meal. A bit cramped and gets busy but fish is always cooked to perfection. I'm a regular here - love it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2375; Sentiment_Subjectivity (from 0 to 1): 0.410897436 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down one of the best meals I've had in a long time.  Granted, I don't eat out at new places as often as I used to, but there hasn't been a place that has stood out as much as Traif did in a while.  Delicious food at fairly reasonable prices. The combination of flavors of each dish harmonized so well with each other.  There was a depth of flavor to every dish that we ate, where each bite was the perfect blend of taste and texture. What we ordered: -creamy burrata, red beets, pomegranate, yogurt, mint: Creamy deliciousness. -butterfish carpaccio, grapefruit, avocado, mint, sesame, soy: There was no hint of fishiness at all.  In fact, the butterfish just melted in my mouth while the other flavors just lingered. Sooo yummy. -baked muenster cheese, smoked chorizo, golden apples, crostini: This was a dish that I thought would initially be too cheese heavy, but when you top off the cheese with a slice of apple on top, the sweet, crunchy apple has a way of cutting through the cheesiness of the baked muenster.  And the smoked chorizo added just enough extra saltiness to be a nice surprise when you got a bite of chorizo. -seared scallops, butternut squash, huckleberries, pistachios, sage: The dish that our waitress had recommended we get.  Two thumbs up. -bbq, braised short rib sliders, sweet potato fries, smoked paprika aioli: Our last dish of the night.  Flavorful, tender, yum! -bacon doughnuts, dulche de leche , coffee ice cream: Whoever thought that adding bacon on top of doughnuts was a genius.  I'm not normally a fan of donuts, but these were freshly made, bite size donuts that were so fluffy and light..and when you dip it in the dulche de leche sauce...heaven! I would definitely come back here at any chance I get.  Even though it's in Brooklyn, it's literally right off the Williamsburg bridge, so it was super easy to get to.  Traif doesn't get the media hype it deserves, but what's kind of nice about that is that it's like a hidden treasure you can share with your friends without worrying that it'll be overcrowded due to mainstream hype.  Can't wait to come back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.192540062; Sentiment_Subjectivity (from 0 to 1): 0.483003911 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ahhh yeah, the Spritz! Not sure if anyone says that, but I will... The Sprtiz happens to be just a couple blocks from my friend's place in Greenpoint, so I find myself here often on weekends. As others have mentioned, it is a great place for groups. If you come early enough (or late enough), you can get a large bench table for 8+ people. They have Jenga! My go to is definitely the brat with onions and peppers, and a one of their pilsners or IPA's on tap. Last time I had a belgian saison that came in a red can that was easily one of the best beers I had this year. Is it noisy? Yes, it is a German beer hall. Do they only have brats, sausages, and fries on the menu? Yes, it is a German beer hall. Are there hipsters? Yeah, we are in the hipster capital of the world. (You probably are one too if you're here.)  None of these are reasons to avoid Sprtzenhaus. You will have a great time. Pro tip-- the communal bathroom sink with the rainfall showerheads that provide as much water as a light amazonian tropical storm is turned on and off by a foot pedal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.191732804; Sentiment_Subjectivity (from 0 to 1): 0.462081129 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 always give restaurants the benefit of the doubt so I will complete this review after I return for a second time but my initial visit was disappointing to say the least. As another reviewer pointed out, the arroz caldo is quite diluted and lacked the balance between the punch of the garlic and the sweetness of the ginger that defines the dish. I also ordered the tortang talong which is an eggplant omelette with sauteed tomatoes and onions that had many problems. The eggplant was far too soggy, the eggs lacked any flavor which was unacceptable, and the tomatoes and onions contributed to the mucky meal. There was a pool of liquid that formed at the bottom of my plate from how drenched the dish was. However, I did enjoy the ube waffle. That's the lone bright spot of my day there. The prices were extremely high and the food I had was sub-par which was not a good combination. I'll give it one more try though because I hate leaving a place with a negative lasting image.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.007333333; Sentiment_Subjectivity (from 0 to 1): 0.482666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go to for healthy + affordable dinner. LOVE the falafel platter. Chicken soup is also very flavorful and filling. You can tell they use good quality olive oil, etc.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26; Sentiment_Subjectivity (from 0 to 1): 0.59 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't miss Swiss winters, but I do miss all of the local beer and hearty food that I enjoyed on a trip that mixed business with pleasure with a good friend and colleague of mine a few years ago.  For our "reunion", we descended on Cafe Katja in pursuit of an authentic experience (which essentially means drinking beer from steins and eating lots of spatzle). The tiny restaurant was absolutely packed on a Saturday night; even to snag two seats at the bar was difficult (and we were basically sitting on top of our neighbors).  The good news about our bar seating was that we got very attentive service from our barkeep/ waitress. I thought I had ordered a glass of Weizenbier, but apparently I received a stein.  (No complaints here!)  It's not the most fun beer to tap because of all of the thick foam; although there was more head than there ought to be, after a few minutes, the beer was fine to drink. For an appetizer, we ordered the roasted beets and goat cheese salad to share.  This pretty much could have been an entree (as we learned, the portions at Cafe Katja are generous).  Sweet beets and tangy, creamy goat cheese are always perfect when paired together and this salad was no exception. For my main course, I ordered the cheese and chive spatzle and was presented with a huge plate of eggy noodle/ melted cheese goodness.  There was just enough cheese where nothing felt too heavy or greasy.  My friend and I agreed that the spatzle was just as good and comforting as we remembered it to be in Europe. After dinner, our bartender presented us each with a digestif which was way too harsh even for me (who can stomach the strongest of liquors) to finish.  The gesture was extremely kind though and based on how we were received and how good the food was, I'm sure we will be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254877451; Sentiment_Subjectivity (from 0 to 1): 0.546977124 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 personally thought this is the ramen I sort of wanted so I will give 5 stars for now.  Since I haven't had that much ramen especially in recent days, I really don't have a standard set.  All I can say is this ramen is 10 times better than Momofuku, and still much better than Slurping turtle in Chicago in my opinion. I ordered the spicy totto ramen which seems to be the hit item.  The broth was very rich and mingled very well with the noodle, which was very well boiled.  I also liked the fact that the put 2-3 cha-sue that made me feel like I am having something other than just noodle and broth.  They also had the pork bun.  The meat was a little harder than I expected, but it tasted nice.   Overall, I think at least they meet the hype (for now), and I will recommend this place to friends and family.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.148611111; Sentiment_Subjectivity (from 0 to 1): 0.402777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard a lot about this place for a while so I made a special trip from LI to try their pizza. I was impressed as expected. The atmosphere is pretty cool with a pretty large outdoor eating area. As far as the pizza, the sauce was very good, it had a nice fresh tomato flavor and lots of fresh oregano and spices. I love Sicilian style pizza and I like the concept of the cheese under the sauce. However, my only complaint was the dough, although flavorful and tasty, was a bit doughy and undercooked. This seemed to be more so towards the center of the pie, the corner slices were more well done. I give it 4 stars, but another couples minutes in the oven could have given it 5.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.312857143; Sentiment_Subjectivity (from 0 to 1): 0.651666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 group of six came for brunch (11 am reservation on a Saturday) and the restaurant is absolutely charming. Lots of dark rustic wood, high ceilings, and natural sunlight. It was positively brimming with people by 1 pm, but not so much that our waitress was negligent. The coffee was fresh, the prosecco flowing, and we were salivating. The waitress was knowledgeable, cordial, and accommodating. We waited for the last person in our party for a good extra half hour and the waitress barely batted an eyelash! The food isn't complicated- it relies on fresh ingredients and expert handling to give you a fantastic quality dish without frou frou. I will admit that I wasn't "wowed" by the meal, but it was delicious, filling, and didn't try too hard to be something its not. (I appreciate down to earth food - no foam, no gelees, and no two bite morsels that equal four hours wages.) Presentation was good, and again without frou frou. All said and done, a classy and moderately priced brunch that left all parties satisfied! Well done Maialino!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.186130577; Sentiment_Subjectivity (from 0 to 1): 0.512472643 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything was delicious. Definitely recommend the scallops, the pork chop, and the lamb shepherds pie was unbelievable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We got an amazing dinner, the place is small and really welcoming. Wine is pretty good, we were 4 people and we got the hanger steak, rabbit legs and a salad, some desserts too, everything was absolutely top quality. Really satisfied, a great surprise. Top!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.436111111; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: iExcelente! El Diablito is a great casual, family-run business. Everyone who works there is very kind and eager to please. The dine-in service is terrific and the delivery is fast and comes with a smile. The homemade horchata is delicious, a bit sweet but that's how I like it. I have tried nearly everything on the menu (except the breakfast items) and have enjoyed them all. The quesadilla is one of my favorites but it is smaller than the other items despite being at the same price point. Note: The paper menus have the preparations on the left side (tacocs, tortas, quesadillas, enchiladas, huaraches, burritos) and the styles on the right side (chicken, al pastor, shrimp, vegetarian, etc.) For some reason the enchiladas list chicken in the descripton but it must be a mistake because they can definitely prepare the enchiladas any style. The veggie ones are quite good and filling too! I hope they expand their salsa choices. What they have is good but I'd like something more tomato-based and chunky as an option as well. Pro-tip: If you download the Belly app (or, just DL then save to Passbook in iphone), you can check-in in the restaurant and save up points for perks like free food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.225714286; Sentiment_Subjectivity (from 0 to 1): 0.613744589 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had been looking forward to The Smith for two years. And disappointment was all the remained. Two years ago when I asked a friend for recommendations, she spoke highly of The Smith.  Ever since then it was on my to-do list. First of all, food was terrible; I found the food greasy, overpriced, and lacking in anything special in terms of flavor.  I ordered the bibambap. which was basically Korean bibambap with oil and oil and oil.  First of all, Korean bibambap already tastes good as it is, and it stands for a balanced and healthy meal.  This is another confirmation of America's weight problem; seriously, you don't need to add oil to everything.  Every recipe that calls for oil, America seems to quadruple that. We also got the steak salad, which tasted worse than the steak salads off of seamless I eat so often.  But the difference is that my seamless salad is in a plastic bowl and tossed back and forth during delivery.  And I don't see waiters jolting the salad around and abusing it from the kitchen to our table.  So it ought to taste better.  But it didn't. The service was awful.  Our waiter seriously forgot about us.  The restaurant also squeezed us in a corner that I was almost touching the table next to me.   It's extremely loud in there.  If you want to hang out with drunk people - a young crowd ready to get wild on a weekend night, you've got it at The Smith. I can understand why some people like The Smith.  Unfortuneately, it was not up my alley.  Especially when I'm still a bit sober.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.005980952; Sentiment_Subjectivity (from 0 to 1): 0.508457143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They are super nice to bikers, especially on Tues when we congregate on the sidewalk for sunset.  Great burgers, chill staff.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.854166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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: Thurs night before New Year's Eve. Prob not smart timing. We arrived in town at 530 thinking we may be lucky with a reservation, but had to wait till 7pm. Thats what happy hour is for, right? Service: excellent waiter - picked out my wine for me as per my request. I didnt like the first one, and the 2nd one was a winner. $15/glass - delicious (Barolo). I'm willing to splurge and this was one of them. Food Olives and bread on table Linguine with peas - delicious Ravioli with sage - 8 pieces? , buttery and smooth Seafood risotto - super al dente . Didn't want to send it back if that's how it's supposed to be but I heated up my leftovers at home and added a little more water - perfect. More like a paella if anything. Stick with pasta dishes. Misc Excellent place for a date or a great friend. Tight table near the bathroom --- Would I go again? Absolutely. Maybe I'll try lunch?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.409370883; Sentiment_Subjectivity (from 0 to 1): 0.632702804 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is one of my favorite restaurants at the moment. I've been here twice and I'm wondering when's the next time I'll be back. I tried as many of their dishes as I could, and I can honestly say I was a fan of everything. The food here is so good and comforting. The one dish I recommend that everyone should get is the sizzling sisig, the aroma of this dish is so enticing. This dish is a classic in Filipino cuisine. The pork jowl is one of my faves, especially if you're a roasted brussel sprouts lover like me. You might overlook the coconut rice, but please don't. It's as strong as any other dish, the best I've ever had. The khao soi is great if you want noodles and heat! It was a bit too spicy for me but I'm weak when it comes to spicy foods. Their mussels dish is unique in a sense that it's served with a sweet pineapple curry broth and deep fried baos for dipping. The crispy pata is slightly elevated than the traditional dish, but very good especially with the liver sauce that's served. The flan and Ube ice cream is amazing in their halo halo. I honestly love every dish. The environment is very chill and embodies the personality of the workers. Also, if you're a Top Chef fan, you can see contestant Leah Cohen cook and run her open-spaced kitchen. I was fangirling the whole night lol.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333397436; Sentiment_Subjectivity (from 0 to 1): 0.580641026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is amazing. Great flavors! I love the coconut crusted fish! I would recommend to anyone. Its freshly made. And to top it off the owners are super nice!!!! Im so happy to have this cute little place next to my home.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.497348485; Sentiment_Subjectivity (from 0 to 1): 0.674242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 terrific as advertised. Wow! And Pies n Thighs delivers. This is dangerous for me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.158333333; Sentiment_Subjectivity (from 0 to 1): 0.966666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here on a Friday night with two other friends. The space is a bit small so people walking back and forth would bump into us occasionally. We tried their unlimited pasta. You get a selection of ravioli, penne and other pesto pasta. I thought the shrimp penne pasta was the best, the other two were just okay. Nothing special really, but the prices were pretty decent.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.15406746; Sentiment_Subjectivity (from 0 to 1): 0.40734127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had the devils food cheesecake and I can say i can it was definitely really sweet. It was a bit overwhelming on the frosting, but overall the cheesecake was very good. The chocolate cake was very moist and the cheesecake was nice and rich. The cheesecake here is definitely not your average cheesecake from California.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309444444; Sentiment_Subjectivity (from 0 to 1): 0.597777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is spectacular. Service is beyond. Decor is perfect. If you've never been, make it happen. I'm serious. Make it happen.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.422222222; Sentiment_Subjectivity (from 0 to 1): 0.855555556 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has a great variety of tacos.  My favorite was the spicy kimchi and steak tacos. They came out a bit soggy bc I think they sat a minute too long before the server grabbed them, but otherwise they were delicious. They are pretty spicy so don't order them if you can't handle the heat. The kale dip was good as well but pretty much tasted like any standard spinach and artichoke dip. The bar menu was unique and fun. I ordered a "bloody beer". It was a light pilsner-like beer with tomato juice and spices. It was still light even though it had all the ingredients. They have outdoor seating which is nice to enjoy the gorgeous neighborhood's beauty.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.354411765; Sentiment_Subjectivity (from 0 to 1): 0.697058824 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Places like these are why I sometimes want to stray from yelp hot spots. There wasn't anything really special about this place. The amount of sauces they have is really impressive but the fries themselves are pretty mediocre. They were all soft and limpy and rather bland, so I suspect the main draw here are the sauces. I tried the mango something or other. It's not mind-blowingly flavorful, but it's a nice alternative to ketchup. Wander on, NYC traveler, unless you are fiending for some soft limpy fries.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.18474026; Sentiment_Subjectivity (from 0 to 1): 0.696645022 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is really tasty and FRESH! Portions are huge which is great because you will definitely enjoy the leftovers. If you are all about the food and really enjoy fresh seafood, this is the place to be! Cons: No reservations so the wait can take up to 2 hours. Also, the tables are placed so that you could end up in the midst of someone's date without realizing it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.421428571; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For the time being, I'll give it a 4-star. I have to try 2 more time to be fully convince that it deserves a 5 star perfect rating. I had the Super Cub Classic with medium spicy. I have to say it's REALLY GOOD...the hype is real. However, it was lacking a bit pate. I definitely enjoyed it. Next time I have to try the curry lamb coconut one. I am a huge fan of curry so that will put it to the test. While I was there, there were a group of tourist guided by a tour guide and explaining some history of the sandwich. I just thought that was a funny entertainment. The asian lady said she was studying in upstate NY and her friend from Canada brought her back a Banh mi. Canada back to the States..that seems a bit over the top..the bread would've been stale by then lol the story has nothing to do with the rating, just thought it was a funny occurrence. Also the place is REALLY SMALL!!!! So don't go there expecting to have seats. I was lucky to be there when no one was there. Go there if you want a to-go. or you can wait. Happy Eating!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.253841146; Sentiment_Subjectivity (from 0 to 1): 0.519298246 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I could probably do without the on-and-off French accents, but Buvette does a mean breakfast. Pastries are a safe bet, and though the "poached egg" seemed more like some variation of over-hard, the veggies it's plopped over are delicious. In typical European fashion, no skim milk. 2.5?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217261905; Sentiment_Subjectivity (from 0 to 1): 0.455357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Kind of plain.  They were going for fresh and not fatty, but Tsukiji Market (Tokyo) was 10x better.   The waitress kept trying to up-sell us on "more exotic" fish!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.344387755; Sentiment_Subjectivity (from 0 to 1): 0.593877551 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was fabulous but I felt like the service was lacking at best.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Exquisite wine list, with varieties from around the world including cava....yummy!  We all enjoyed everything from the duck meatballs to the curry chocolate ice cream.   Our server was quiet, but superb.  My water glass remained filled at all times, which is tricky with me since I drink like a fish.  We even tasted our wine, even though we ordered by the glass....I've never seen this before, and appreciated it.   BTW-Harrold is cute.  He didn't ask for my number, but I almost left it on the comment card. A truly enjoyable dining experience...clean private bathrooms approved for tooting.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.41; Sentiment_Subjectivity (from 0 to 1): 0.600833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 might as well rub sausage grease and cream directly into your face. Bring a male friend and he'll tilt his head and look at you like you're the cool babysitter he loved at age eight. Whoever remarked that the portions were small is insane.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.016666667; Sentiment_Subjectivity (from 0 to 1): 0.558333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here a couple of times before. the first time i stumbled on this place i thought, " really? an alley way in new york with a hidden restaurant at the end? that's such a european thing." it was one of those nice alleys where at the end you have strands of decorative lights hanging from above with the architecture of the buildings transporting you out of new york and into some secret place. attire i would say hipster semi casual. It was pretty hard to tell after going two times what sort of crowd this restaurant gets. I've seen couples go, group of friends just hanging a the bar, a family of tourists enjoying brunch, yeah it was a melting pot. If you love paring food with wine, this place has amazing appetizers and entrees for it. The deviled eggs were delicious and the salmon  was well seasoned and i savored every bite. the interior decor of this place felt like an old fashion saloon meets contemporary  dining. the service, on a busy night is a little harder to get and spot (if you don't recognize your waiter/hostess, they kind of blend in with the patrons) but they do walk around frequently. The price of the food i would say is average for new york city pricing, about $8 an appetizer, $15 for an entree. definitely one of favorite places to come to for a special occasion.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.15623557; Sentiment_Subjectivity (from 0 to 1): 0.504224387 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dined here many times( both lunch & dinner) and it is ALWAYS consistently excellent! Food- gorgeous, fresh, creative and superbly delicious. Lots of variety from beautifully presented salads, pasta,fish and meat (even a fab hamburger)! Atmosphere- serene, zen-like elegance. Service - outstanding & attentive So worth it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6275; Sentiment_Subjectivity (from 0 to 1): 0.7775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Smash burgers and munch deviled eggs.  Old speckled hen tap.  Naughty.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.025; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything was amazing!  I ordered the Fresh Fruit Short Stack, which was perfectly crisp and fluffy with just the right amount of chocolate and banana.  I didn't even need syrup!  My BF ordered chicken and waffles, which was again, nothing short from perfect.  He then ordered the chicken biscuit, which without even taking a bite, you knew would blow your mind.  The mimosa brought me the perfect buzz to heighten my taste buds for perfection.  Everyone needs to try this place!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205194805; Sentiment_Subjectivity (from 0 to 1): 0.659307359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 curry for a great price, was traveling so I got a double, but it was alot of food only can imagine the size of a home run; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Orgasmic pizza? Does anything make you orgasm? You gotta be kidding me. I grew up in this place and the outdoor seating area was the equivalent of a nightclub for 14 yr olds. The place itself is great because it carries so many old Brooklyn memories for most of the people that have ever lived in or around this borough. But focusing on this pizza you all seem to love... I don't understand it all... while the square isn't bad it's not exactly good either. Cheese first than the sauce overload, this was the brilliant plan? I can't believe something so stupid got you guys as famous as you are now. And maybe I am so down on you and your pizza palace because the SPUMONI isn't even the best I have ever had...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.234188034; Sentiment_Subjectivity (from 0 to 1): 0.595299145 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 words: Pad Gra Prow.  So yummy.  We order delivery from here quite bit and have been very pleased with all the food, delivery time (15-20 minutes - it's nuts!), and prices ($9-$11 for standard dishes).  I've eaten in as well and it's a cute little place - it lacks a little personality but not a big deal.  I would absolutely recommend this restaurant, especially to the locals looking for an option in the neighborhood.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1421875; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Xiao long bao (soup dumplings) are kind of my thing. I was born in Shanghai, have eaten them all over Shanghai and in Nanxiang (the "original" home of XLB), and definitely eaten my fair share all over the US (including manhattan and flushing). It's all about calibrating expectations--are these as good as the ones you get in Shanghai? Not by a long shot--compared to the ideal, they are too big, the skins are too thick and sticky, and the soup is on the greasy side. But--the flight to NYC (or train ride to Chinatown) is MUCH shorter than the one to Shanghai. The regular ones here are not bad by Manhattan standards (yes, there are better ones in Flushing, but again, unless you already live out there, it's kind of a trek), the service is quick and efficient, and it is kind of fun to look around at the various celebrity photos dotting the walls. The crab ones are probably best avoided--the ones we got tasted "off" and had bits of grit and shell in them.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.328318903; Sentiment_Subjectivity (from 0 to 1): 0.536599512 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 breakfasts I've had in the city.  I ordered the millet pancakes that had an almost overly moist texture however the taste was incredible.  Perhaps the best pancakes I have ever had.  I also tried the Eggs Benedict which were perfectly made.  The service was very prompt and friendly.  One drawback is that it's crowded and you may need to wait a while to get a table.  That's not the restaurant's fault though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.745833333; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I LOVE almost everything about this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food, great atmosphere, great service.  Came in for lunch on a weekday and got the scallops, which were very well made and presented.  Definitely would go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.508333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Must try their clay pot shrimp and Sugarcane skewers - abs fav!!  and their ambience is really nice too; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was expecting a bit more from a Tom Colicchio restaurant. The decor and view were amazing as well as the service. The staff was very informative so thats a plus! For starters, we had the salmon tartare and the avocado and hamachi salad. The salmon tartare was really salty for my liking but the avocado and hamachi salad tasted fresh and light. For my main dish, the duck breast was chosen. The meat was tender but again salty. Portion sizes are quite filling but all I remember mainly was just chugging glasses of water..; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.322916667; Sentiment_Subjectivity (from 0 to 1): 0.470833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one of the best pizzas I've had in NY. It's a popular place so instead of waiting in line we called and ordered ours ahead of time and then caught the subway there to pick it up. I've never dined in at Grimaldi's and my boyfriend said the workers are always rude but I could care less, their pizza is delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.355555556; 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: **This place gets an additional star for my main man chef Taquito. The Chef has a great spirit and jubilance about him and often works his magic on the noodles while singing and dancing to Michael Jackson tunes. I've had the pleasure of sitting behind him twice as he works into the night, and his cheery nature alone boosts Totto up by one more star! You really don't have a choice, but try to sit at the bar and you'll know what I mean! (photo attached) Furthermore, they've recently put up one of those protective thingies in front of the store that will keep people warm from the cold. Another nice touch for those who wait a bagillion hours in the cold to taste this yummy cuisine. Finally, next time you go, check out the staff. Is it just me or wouldn't they be a perfect cast for an EPIC samurai movie? **; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.206315104; Sentiment_Subjectivity (from 0 to 1): 0.651302083 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had an excellent Nero d'avola and we ordered both the meat and cheese platter along with some Mac and cheese. We devoured everything. They apparently don't offer coffee- but our waiter made it happen. And my cappuccino was excellent enjoyed with a cannoli. The back room is tight- we got quite the earful from the ladies at the table next to us, who were clearly enjoying their youths in NY, but I liked the ambiance of the space very much.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.373142857; Sentiment_Subjectivity (from 0 to 1): 0.499571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow, at 4.5K reviews, I think this place is definitely overrated literally and figuratively.  Seriously.  The ramen is good and the BBQ Pork buns are good, but they're nothing amazingly spectacular.  I liked the decor and thought the service + presentation of the dishes were fantastic, but would I ever wait an hour to get this ramen? No, probably not.  I would definitely come back again, if the wait was short and if I was in the mood for ramen, but yes again, this is nothing to create a cult over.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.251515152; Sentiment_Subjectivity (from 0 to 1): 0.615151515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spot. Came for my sister's birthday with a group of ten. Very accommodating, just had to make a reservation a couple weeks out. Charged $15 for cake cutting/ plating. Reasonable wine prices!! Delicious cheese plate and great staff.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.51875; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is just unbeatable.  The Greenpointer and the Cherry Jones are total standouts, as well as the killer beer selection and the beautiful ambience.  But the real edge Paulie Gee's has is Paulie himself, going around to every table to see how diners are doing and if they're enjoying their pies.  Last night we were devouring a Cherry Jones and Paulie ended up bringing out an extra they had in the back -- completely free!  There aren't many places where you get a free, amazing pizza from the owner just for the hell of it.  I need to become a regular here immediately.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.295833333; Sentiment_Subjectivity (from 0 to 1): 0.491132479 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap, delicious, and exceptional freak --- er ---- people watching.  If only this type of place could be replicated in my tiny city of Reno, Nevada.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.413333333; Sentiment_Subjectivity (from 0 to 1): 0.84 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 totally break everything in the jip when I walk in.  For some reason, while in Woorijip, I lose all coordination of my limbs.  It's the tiny aisle next to the buffet that does it!  I should maybe stop wearing my massive backpack while inside.  I've also hit the sneeze guard a few times with my face, for which there is no sober excuse. Umm, it's near my office, and the food is reasonably priced and it changes around enough that I don't mind going once a week.  I'm not an expert in Korean food, but at the lunch and early dinner hour, the food is in excellent form, and I thoroughly enjoy it. My boyfriend: Doesn't it violate some kind of health code to have cooked food sitting at room temperature all day? Me: I don't know.  No.  Shut up.  Don't yuck my yum, dude. My boyfriend: Yes, it does. And you're a dumbass, "dude". Whatever, I still like it, and I generally don't get the room temp stuff anyway.  Eat at your own risk!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.18125; Sentiment_Subjectivity (from 0 to 1): 0.51875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Of note, this review correlates specifically to Contrada's Happy Hour specials, but if what I ate is any indication of what the rest of the menu offerings are akin to, I'd think that anyone that may eat here would be in good hands. Slightly before six, the place was pretty empty, but I was glad for a little quietness as I perched at the bar, open doors along the perimeter of the restaurant letting a warm breeze in. A mix of 80s and 90s pop hits came flooding in through the stereo, the bartender and I reminiscing at times over Ace of Base or Hall & Oates. Their sandwich board perched atop the sidewalk on East 4th boasted cheap oysters, Prosecco, and pickebacks. Though this current stretch (as I type this) of late summer heat is blasting us on this first week of September, a cool glass of Prosecco was right up my alley. Joined by the famous Lori L. for a long overdue "girls night", we sipped bubbles and decided upon to of the Happy Hour menu's offerings. I have nothing but praise for both items we ate. First, we split the crostini with housemade ricotta and lemon-thyme honey. A wonderful illusion of dripping and smooth rictotta gave me the sense that I was about to bite into something hot; instead, it was cool, salty, and sweet all together, a slight char to the bread giving each bite a final smoky note. The squash ricotta fritters were also a winner, and Contrada's housemade buttermilk dressing was the perfect accompaniment. Boasting a menu of excellent pasta, meat, and seafood dishes, I am eager to come back here for a nice dinner some evening, but I can certainly attest that Contrada can provide a lovely, relaxing, and fulfilling Happy Hour.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.305269608; Sentiment_Subjectivity (from 0 to 1): 0.675210084 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dumplings was good! I would recommend ordering the shrimp dumplings!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; 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: ahhh! so good! veggie meatballs with mushroom gravy and provolone on a brioche roll?! with an amazing arugula apple salad for $8?! best lunch i have ever had in nyc. yes, ever.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.916666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am ashamed to have waited 2 hours with my family for a table on a Sunday night. Well worth the wait... The ramen is refined.  I thought Santouka in LA was good.  Ippudo is in another category and a separate league.   The broth is complex and smooth at the same time.  I usually do not drink the broth due to the high fat content, but I caught myself slurping it up.  The miso paste brings another layer of nuttiness and texture to the broth.  The noodles are perfectly cooked and chewy.  Yummy, yummy, yummy. BTW.  The pork buns and shishito appetizers were excellent as well.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.326; Sentiment_Subjectivity (from 0 to 1): 0.489 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Solid new American brunch joint.  It has a beautiful patio in the back, so if the day is nice, this is great and spacious place to hang out with friends and enjoy brunch.  It is quite a trek out into Brooklyn.  They say Flatbush, but it is pretty close to Coney Island.  The Q train doesn't take to long if you can catch it.  They serve up very fresh simple American/southern comfort food.  The handmade sausage is fantastic.  The meat is not too greasy and the herbs in the sausage really come through.  The bacon is also very good.  It is sliced thick and carries a good amount of smoke in the flavor.  They are also not shy with the portions.  I think there was 6 slices in a side of bacon.  I had the beet hash which I found to be a little off.  I wish I ordered the French toast or something more classic. The beets overwhelmed the dish.  It sounded innovative and interesting, but you really couldn't get past the beet flavor.  Overall, I found that the chef uses less salt in the dishes.  That Is great for the health and really worked for the sausage and bacon, but with the beet hash, the meat just could not stand up to the flavor of the beets since it was under-seasoned.  The service was friendly and prompt.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263673021; Sentiment_Subjectivity (from 0 to 1): 0.461291021 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Note: I DISCOURAGE for dinner. Brunch is a 4.5 and Dinner would be a 2.5, and though that averages to a 3 (right? I'm so bad at mental math) I still give them an extra star, because their brunch is SO worth going to and I do usually enjoy the Smith. Brunch/Lunch: I've gotten the turkey club which is standard, and I did enjoy the spice in their mustard. But, my friend got the special: lobster egg benedict, and that was delicious and worth the extra dollars. Their calamari is great, I highly recommend. Their french toast, steak salad, mac&cheese, and side of almonds are also on my top list. Dinner: My friend got the salmon salad, and it was a sizely tasty and the portions were reasonable. My gnocchi was good, I prefer it to be a little less soft and maybe a bit bigger, but the truffle sauce's subtle presence made up for its texture and quantity. My friend ordered the special, a chicken/mushroom quesadilla, and to his disappointment, found only 3 triangular pieces, not enough to fill a growing boy. The waiter was indifferent and not very informative. Service was a bit delayed (during brunch time they're on their feet at all times) but we ended our meal with the apple pie sundae (standard, but we enjoyed it). Words of Wisdom: I love trying new food but sometimes I'm on a budget, so I tend to look at the lower priced items. Don't do that at the smith... price=quality, in my opinion. I suggest an earlier dinner, and a head start to brunch, and lastly try their drinks! The pear sidecar and mimosa were especially great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.165967532; Sentiment_Subjectivity (from 0 to 1): 0.439231911 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hipsters have come to Queens. Apparently Brooklyn was not enough for them. I'm still in shock that we paid $10 for a gouda cheese, black bean hummus, and guava jam sandwich. While the sandwich was tasty, it wasn't anything I would write home about, and priced at $10 felt so wrong for what it was. We also had the bread pudding, which again, while tasty, didn't seem to warrant any crazy hype that this place has gotten. The prices overall were cheaper than what you'd find in Manhattan or Brooklyn, but I still felt ripped off given the portion sizes and what we actually got. I also wasn't a huge fan of the wait staff, who all seemed like they were too cool to serve us and weren't very attentive at all.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.005333333; Sentiment_Subjectivity (from 0 to 1): 0.573333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The difference between a 4 and a 5 rating here is the truffle fries. Nothing I've ever tasted before in my life. True, the prices at Five Leaves are a bit higher than your standard Williamsburg restaurant, but the food is tasty and the atmosphere is great. This is a great place to take a date, parents, or visitors from out of town. Just be prepared if you're going to foot the bill!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.48; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 eaten at a lot of Italian restaurants. And the one thing I've learned is that the price does not mean quality. I've had $15 pasta dishes that blew away $30 dollar pasta dishes. I've had $30 dollar pasta dishes that were unbelievable, and some that are just a thick, creamy, heavy, filling, straight to your ass kind of sauce. If you throw in 12 LBs of cream and butter to your white sauce, of course it's going to taste delicious, but it doesn't mean that it's worth $30! Basso is one of the $30 dollar dishes..Except it was actually good, and worth the price of admission. The prices were a bit expensive, but you can't expect anything less then that from a premiere Italian restaurant in New York City. It isn't worse then any other Italian spot price wise, but does have better food then a lot of them! I won't go into specific dishes because everyone has their own taste...But know that we both ordered a pasta dish, and both pasta dishes were unique and tasty. Not 12 LBs of straight to your ass, creamy tasty...But fresh, genuine, italian food tasty. Only knock I have on the place is that it is very cramped. We were on top of the couples on either side of us and for a big guy like me, it became a bit uncomfortable. The tables are very small as well, so it seemed like something was going to fall off at any point. Nothing did though(whew!). All in all, I would definitely recommend it. It's a great date spot as we ordered a cheap $40 bottle of Chianti along with our meal. Which is a fantastic price for a bottle of wine at a NY restaurant. Find a lady friend, and check it out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148902486; Sentiment_Subjectivity (from 0 to 1): 0.508749029 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was walking towards Ward III two gin and tonics in, late for a birthday party, and changing from my flip-flops into my heels.  I was just barely finished stuffing my flip flops into my shoulder bag when I reached the non-discreet exterior being casually guarded by two men, one a bartender and the other, the proprietor.  I was already two and a half gin and tonics into my night so my opinion might be a bit skewed as a result, but nevertheless, I had a fantastic time. The friendly and all-male bartending staff put on a good show when making very interesting and sophisticated drinks.  I am particular to the Baby Eveline, which is made from Charbay vodka, fresh lemon, muddled strawberries, Peychaud's bitters, and champagne.  I did not get a chance to check out the bespoke cocktails, but I will definitely be back another time. I love the decor and style of the place.  I don't know what it's called, so if anyone knows, I would love to know! Oh, before you go, read the house rules!  I had no idea there were house rules at all!  See link:  newyork.grubstreet.com/2…; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.295104167; Sentiment_Subjectivity (from 0 to 1): 0.501666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: real quick here's my take: amazing delicious food!!! great service even with crowds cash only, BYOB drink Zywiec quaint ambiance, like a grandmother's living room. small groups only. favorite dishes: borscht with dumplings Polish Platter (3 pierogies, kielbasa, stuffed cabbage, bigos and potatoes) all the pierogies hungarian pie and for dessert Chef's Blintzes everything about this place is winning!!! ps. i kind of make it a habit that if i go here for dinner I'm usually coming from shopping at Fred Flare! fredflare.com/store.ph; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.401278409; Sentiment_Subjectivity (from 0 to 1): 0.790909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great place to stop and pick a quick meal. I have tried almost everything and  all have been tasty. I love that I can stop in an grab their spinach and couscous salad which is by far my favorite item; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.446666667; Sentiment_Subjectivity (from 0 to 1): 0.77 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 exotic mix of lamb spices blended with the rich aroma left a tingling sensation on my tounge which is more than I can say for my companion, who simply devoured it whole. It was in fact, like watching a scene from Jurassic park of the T-Rex eating the poor lamb tied to the rail. Nevertheless, it was great for a drunk night out as long as you remember to throw away whatevers not there, which wasnt much.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.147727273; Sentiment_Subjectivity (from 0 to 1): 0.541558442 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 don't have to be a Greek-lover to love this food. Honestly. If you didn't know it was Greek because you're not as familiar with the genre, I bet you'd LOVE it. I sure did and I'll admit to being somewhat of a Greek novice. I went with a large group, so a lot of food was ordered and delivered to our table. Here is how it went down: Appetizers: Kolokythakia kai melitzanakia tyganita: it's fried zucchini and fried eggplant (thinly sliced) with a delicious white sauce for dipping. Salty and super tasty. Saganaki tou merakli: melty cheese. Kind of like fondue, though a harder crust on top. So maybe a cross between creme brulee and fondue? Super cheesy, super delicious to eat plain or on warm pita bread. Poikilia: it's three dipping sauces for your warm pita (seriously, it's like they serve it right from the oven, super soft and warm and delicious) - one is a tangy yogurt dip, one is eggplant (not chunky, more like a puree), and the third is a fish roe dip (I didn't try, a bit out of my comfort zone!) The ones I tried were really flavorful and went very nicely with the pita. Salad: Horiatiki: Similar to the salad I make myself at home regularly. No lettuce, lots of tomatoes, cucumber, red onion, feta cheese with oil and vinegar. Nothing too "Greek" about it, very tasty and light. Main course: I ordered the Krasata Paidakia which was recommended by our waitress. It's braised short ribs with mashed potatoes. Brown sauce was really flavorful, the ribs were really tender and the mashed potatoes ("potato puree") were a nice compliment. Overall, I walked away quite impressed. We were a very large group with a large number of credit cards, and the wait staff didn't give us any trouble. Food was delicious - even the desserts (which I don't normally care for) were sweet and enjoyable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.280457084; Sentiment_Subjectivity (from 0 to 1): 0.502379822 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 husband and I ordered eggplant parmesan with spaghetti.shrimp parmesan with ziti and one order of baked clams.  Food was very bland, no taste to it. My husband had to go to bathroom three times and I felt like I had food poisoning.  I am still sick right now.  Don't know what it was. Either the cheese or the clams. Another friend said she didn't feel good after eating the pizza but that was a different day. One more friend said her food was bland also. I don't think I'll be eating there again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.055442177; Sentiment_Subjectivity (from 0 to 1): 0.703741497 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious!  Had the lobster roll (with the drinks and chip combo) and new england clam chowder and it did not disappoint.  Total came out to about $27 so not the cheapest, but I did feel pretty full about halfway through the roll and chowder so I'm guessing the roll itself would've filled me up (I can eat a decent amount for my size - one of my male co-workers once told me I ate a lot). Yes the lobster roll looks teeny tiny when it comes out, but there is actually a lot of lobster in there.  I had at least 2 fat lobster claws in mine.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.182093664; Sentiment_Subjectivity (from 0 to 1): 0.583746556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walked by this spot dozens of times, but only finally decided to give it a try after a show. The food was surprisingly good - they do many homemade pastas and their pizzas are definitely very well done. The pizzas seem to be the most popular items and looked delicious. I regretted not getting one though the homemade spinach fettuccine bolognese I ordered was quite tasty. The decor is a mixture of quaint and kitchy. I think they're trying a bit to hard to appear as an Italian farmhouse and they fall a bit short. I wouldn't go out of my way to eat here, but I live in the neighborhood and so, I would definitely return on a night where I want something casual, but solid.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.189646465; Sentiment_Subjectivity (from 0 to 1): 0.573888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh Sweet Chick, anyone that has crawfish anything on their menu wins a place in my heart. Get the crawfish hush puppies. Just do it. They come with this delicious Cajun inspired remoulade that blows boring old tartar sauce out of the water. I also ordered the market fish, which that day happened to be snapper (sometimes it's mussels with lamb sausage instead of crawfish!). So, so good. It was cooked perfectly and served on top of cornbread that soaks up the accompanying leek broth that has.....more crawfish! Yes please! The blueberry thyme cornbread is nice and moist. Their cocktails are also very nice, I recommend the Ramble On if you like something sweet (run, lime, raspberries and elderflower). They do tend to play rap/hip hop very loudly, which at first I thought would distract from the food, but it doesn't. If you can snag a window seat in the warmer weather it's even better. Service was always super friendly, every single person who worked there was very nice to us. And John the chef is a talented sweetheart, thanks for an awesome meal!! ETA: I came again on a Monday night and the music was totally different, 104.3 style classic rock leaning more towards Creedence Clearwater Revival and other mellow stuff. Nice. It really went well with the rustic setting they're going for. ALSO, Jason is quite possibly the best waiter I've ever had. Just out of this world sweet and attentive, funny and charming. Made our meal even better!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.407347689; Sentiment_Subjectivity (from 0 to 1): 0.656057423 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: good things often cost money. Diner is good. pay your money and you will eat and drink well. staff was attentive and friendly; food and drink were prepared with love.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.535; Sentiment_Subjectivity (from 0 to 1): 0.64 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You will love this restaurant!! Union Bar & Kitchen is such a memorable experience!  Fantastic food, unbelievably friendly staff and beautiful artwork. It has an amazing vibe, no matter what the occasion.  I've been for numerous family meals -- my kids love the mac n cheese and oba's fried chicken. I've been for dinner/drinks with friends -- I love the mussels mexican, the fish tacos, the hamachi tartare. And the trouble maker may be the best cocktail I've ever had -- I'm a sucker for mescal! Definitely worth checking out!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.301953125; Sentiment_Subjectivity (from 0 to 1): 0.590625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 most Med and Mid-east foods, fresh healthy ingredients, wonderful flavors-sumac, garlic, lemon, yoghurt and lots of lamb. I went once for a business meeting and had to go back again. Babaganouch was sultry smokey and delicious, tabouleh fresh and herby, the mekenek lamb sausages were rich, moist and garlicky. The veal sweetbreads were light as a feather and beautifully curry. Grilled shrimp salad was so darn good, fresh and flavorful and finally the lambchops had a wonderful marinade, a touch of grilled crispness and perfectly pinky medium inside. They melted in your mouth. And the complimentary baklava style dessert we received after the waiter brought a grilled chicken salad rather than chicken was light and not overly sweet. I heard the Brussels sprouts were amazing but were off the summer menu. Staff was friendly and extremely good looking. Cool space.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.424; Sentiment_Subjectivity (from 0 to 1): 0.702 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The only reason I a am not giving this place 5 stars is because of the wait. Always a long line to get in but well worth it! You should also note that they do not serve coffee anymore for this very reason. Food and service is always excellent.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.305; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely delicious!  I ordered here to go but the entire staff seemed friendly and helpful. I ordered the reina arepa, tajadas con queso and the passion fruit juice. I am new to this type of cuisine and it went far beyond my expectations. The arepa was really tasty and the green dipping sauce made it even better. The plantains were also good but a little bit sweeter than I had expected. I was also pretty impressed by how busy it was on a sunday. Lastly the price was definitely right, when all was said and done I paid $15.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25997362; Sentiment_Subjectivity (from 0 to 1): 0.5613704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Super authentic Japanese noodle restaurant in NYC!! Lunch special is my favorite. I usually order Salmon don with cold udon. This salmon don is soooo gd and my boyfriend got addicted lol Also noodles r sooooo delicious. Everytime I go here, I feel like I'm in Japan... Service are great, They are super polite and professional Japanese ppl=) I heard Lucy lu is a big fan of this place. 1 thing I can't give them 1 more star is, They don't take reservation.. So when i go there for dinner,I have to wait for 30-40mins... well there is a nice bar across the street so i usually kill my time over there. But I'm a fan=)); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.266190476; Sentiment_Subjectivity (from 0 to 1): 0.595238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Considering there's not a lot of good chinese restaurants in all of New York, this might very well be the best New York has to offer. Even so, I find it to be very pedestrian. Perhaps I've been spoiled by the generous restaurant selections available in Los Angeles or maybe I'm just a picky eater. Whatever the case may be, I found that the XLB (Xiao Long Bao) had no distinction. The dumplings were mostly filled with broth. There was very little meat inside. The wrappers were very thick and sticky, making it unpleasant to chew. One thing that stood out at this restaurant is that you can expect to find yourselves sharing a large circular table with one or two other parties due to the small space and limited seating. This might be a fairly common practice in New York restaurants, but I have never encountered this before and it was something I took notice of.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.065909903; Sentiment_Subjectivity (from 0 to 1): 0.450128247 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been coming here for about 5 years and the quality of the lamb/beef has drastically gone down. The meat used to be strips and now is minced wihthout any real taste, looks like grinded bits of bird food. Rather go to uknown gyro carts with real chunks of meat. But the pita,rice with the sauces are still good. Would recommend this to first timers, but to the regulars- time to find a new spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.221801347; Sentiment_Subjectivity (from 0 to 1): 0.379461279 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with a couple friends last week and Cha-An hit the spot yet again. You know you're at an amazing place when you can easily kill two hours just eating dessert and drinking tea. Between the 3 of us, we got: - 1 ice cream: 2 scoops (green tea & black sesame) - 2 Chef's Dessert Assortments The ice cream was delicious. Green tea ice cream is my absolute favorite and it's really tasty at Cha-An. I didn't know what to expect of the black sesame ice cream but I thought it tasted like vanilla bean...I loved it! The Chef's Dessert Assortments blew me away. It's a 3-course dessert! The very first dessert dish you get is your choice of ice cream...I can't remember the choices they have and what we chose but they were both yummy of course. It comes with a crispy, sweetened sesame cracker type thing which goes really well with the ice cream. I cannot remember the second and third course we got...all I remember is that it's worth the money ($17 for the 3-course dessert & tea), and I highly recommend it if you are splitting it with someone because that's a lot of sweetness! The coolest thing about the 3-course dessert is that it comes with your choice of tea. Not only that, but depending on the tea you choose, your second course of dessert will be different. The chef will make you the dessert that best compliments your tea. So awesome! The two types of tea we chose were: - Genmaicha - Flower Craft Tea I have had the genmaicha before, as my parents used to drink it a lot when I was growing up. Loose leaf tea is just so delicious! The flower craft tea blew my mind. They put these two flowers in the glass bowl that look like dark colored peanuts...and slowly they open up in the hot water and it's just incredible. It tasted amazing and I thought the dessert the chef made to accompany the tea was just perfect. They give you an unlimited supply of hot water for the tea, so you can share it with a bunch of people!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.295775058; Sentiment_Subjectivity (from 0 to 1): 0.557855478 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Service is great, Manager Samir is a total pro. The appetizers were just ok, kinda greasy and the sauces were a touch too watery. The mains were good but nothing special. Overall clean, tasty and hardy food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.389115646; Sentiment_Subjectivity (from 0 to 1): 0.553061224 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A lunch date on a Saturday, wha?  Yeah anyway.  I get all dressed up in this really cute little black jumper, with black tights and black boots.  Feelin' a little sassy for my short self.  I meet him: glasses that don't fit, old Gap jeans, sneakers, T-shirt (and not a cool one).  Awesome, I think, at least we're going to a good place. It was 3pm and I had already had about 3 cups of coffee so I opted for a Bloody Mary, he got tea (um, yeah).  The bloody was nice, lots of fresh horseradish, not too spicy, could have used more spice actually.  Problem with the garni, just a lemon, and well I'm a whore for olives so was hoping for some of those, no dice. I ordered the Eggs Florentine (was thinking about getting a side of some pork product but, this was a first date and my gluttony should remain under wraps at the beginning); he got the Eggs Benedict. Our food came extremely quickly, the EF was great.  It was a lot more healthy than I had hoped, but no worries.  It came in a Staub which I'm a big fan of.  It's the black French iron cookware that's very French and very expensive.  Anyway, I bit into an artichoke, it was buttery seasoned well and flavorful.  The spinach was much the same.  It didn't have a lot of Hollandaise, but that's okay, didn't take away from the dish.  My first poached egg was nice, runny, gooey, messy goodness. BUT, the second one was totally overdone!  I couldn't eat the yolk it was like boiled into oblivion. It sort of took everything in me not to reach across the table and eat his Canadian bacon (did I mention I love pork).  I would comment on his, but as he talked the entire time he hardly touched it.  Not until I was finished and excused myself to the ladies, and upon my return I looked over and he had practically licked his plate clean.  ?!?!?   In all, service was great, enjoyed my bloody, and sadly the consistency of my ovals were off.  But, I would return.  Next time with better company, fah shizzle.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116623264; Sentiment_Subjectivity (from 0 to 1): 0.513576389 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In love with all Totto endeavours, genuine Izakayas that complete any metropolis, Yakitori Torys'll be missed dearly; been here thrice, merry each and every time Food (5/5) skewers and small dishes; Yes, Taisho and Kenka are cheaper but the quality of the food nowhere close; the Stars: a. Shirauo Kara-age - tiny crispy white fish to be dipped in matcha salt b. Yakitoris of course - kawa, sunagimo, riba, harami, shishito, hiza nankotsu, bonchiri, chicken oyster, nagaimo, onigiri, beef tongue, tsukune - each skewer is carefully prepared and grilled, never too dry or too salty, sprinkle with Okinawa sea salt c. others: Jidori Karaage - fried chicken, marinated version even better with potato salad, Aburi Shime Saba (once wasn't very fresh though), beef tongue stew, liver paste over toasted bread; and being an Izakaya, there's a wide selection of drinks, try the Yuzu shochu cocktail or ume blanc or good old otokoyama Amience (4.5/5) simple but comfortable, sit by the grill and you'll see how each piece of ingredient is skewered with tender care; usually good choice of music, once they played Nujabes, in remembrance Service (5/5) applicable to most authentic Japanese restaurants; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.146349206; Sentiment_Subjectivity (from 0 to 1): 0.536054422 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A fantastic new neighborhood spot!  The drinks are delicious, the ambiance is warm and friendly, and the food is fantastic.  Our server (Matt) and bartender (Francois) were friendly, helpful, skillful, and not at all snooty.  The cocktails were the best drinks i've had at a restaurant in ages.  The food was mouth-watering and delicious... I definitely recommend the bone marrow, foie gras oxtail terrine, and that burger.  It's hard for me to imagine labelling a burger "the best"... but that said, I think it's the best burger I've ever had.   Oh yeah, and I'm not huge on chocolate, but the chocolate souffle is phenomenal.  Yum.   This is the best restaurant experience I've had in a while.  It's tough to find that blend of service, ambiance, and food quality- and it's extra impressive that this place is so well run so early in the game, though I suppose Keith McNally has had some experience doing this kind of thing.  Can't wait to go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.414162458; Sentiment_Subjectivity (from 0 to 1): 0.582481061 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i went for the first time about 1 year and a half ago and I loved it. then I started to go pretty often until the quality of the food and the service went down. The staff is not friendly at all, and the pizza...good but  small and expensive. I found a few other place where i can eat my pizza napoletana!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.041597222; Sentiment_Subjectivity (from 0 to 1): 0.466388889 [/INST] Spam</s>