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: I've been to Perry Street twice so far and think it's great. Both times my wife and I got great service and were very happy with our meals. The appetizers, main dishes and desserts change a bit each time which makes Perry Street a restaurant you can go many times and not get tired of it. The only inconvenient thing about the restaurant is that finding a cab on the west side highway is difficult so you have to walk east one avenue to get a taxi.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.186666667; Sentiment_Subjectivity (from 0 to 1): 0.803333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had Sunday brunch here about a month ago with two friends. Cozy intimate setting with whimsical/ecclectic decor and soft lighting. Had the Florentine Benedict and it came out very well. Great service and friendly staff and the only place I could find in the Williamsburg area that opens for brunch at 9am (instead of 11am). Would definitely come back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.163888889; Sentiment_Subjectivity (from 0 to 1): 0.527777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first came into this little restaurant the place was half full, it wasn't until I was waiting for my food that I realized that I was the only customer there, they all worked there or were friends hanging out. I think that's pretty much the laid back Puerto Rican culture and I'm perfectly ok with that. I thought it was endearing that a couple old ladies were sitting one of the tables peeling garlic spending time with each other. I think that kind of love of culture translates to the food here. I've only been here once but I was so happy with my mofongo (about $8) that I'll definitely be back. Most of the meals here are $7-13 so it's definitely an affordable place to make return trips. It's not a fancy place so don't expect the most attentive service or a romantic atmosphere, just classic latin food done well. Back to that mofongo. It was made 100% by scratch to order and was incredibly flavorful and unlike others I've had, moist. It's listed under apps but no normal person could eat it and still get a full meal afterwards.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.243303571; Sentiment_Subjectivity (from 0 to 1): 0.535416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place! It's the best, most flavorful, most addicting ramen I have ever tasted. My boyfriend and I have been frequenting this place for two years. This year is the first in which we attend during the summer. Caution: It is really HOT in there, even with all the fans circulating HOT air. I'd say it's much more enjoyable to have a steaming bowl of ramen during the winter months. However, this is when the wait is more brutal than ever. I ALWAYS have their spicy ramen, and my boyfriend ALWAYS has the mega ramen. We ALWAYS pair it with their nigori sake.  :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.627777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We were seated in the enclosed patio area, which looked like it could use a little more maintenance . I wished it was nicer, but still it had a fun, busy, and casual atmosphere . On to the food: My friend and I ordered the empanada sampler--a must !! We got the chicken, shrimp, goat cheese and guava, and they were all amazing in their own way, and got us REALLY full . I thought this was supposed to be an appetizer, but it was a meal of its own . On top of that, we also got the fish tacos, and the watercress salad with avocado . The fish tacos was also really good, but the salad hm, could've skipped this one but it made me feel better chomping on veggies. We also ordered drinks, a little cheaper than most places (around $8 I believe) and they were strong . This could be good or bad, depending on your preference . Ha .   All of the food above and drinks came out to be $30/person before tips . Although the food was good, I am not sure if I will be coming back because the food was a little too heavy for me .; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.166232639; Sentiment_Subjectivity (from 0 to 1): 0.581481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pickles! So delicious and unique. Admittedly, I am a pickle fanatic, but even the average non-pickle-enthusiast can appreciate the concept. The biscuits and fried chicken smothered in delicious gravy was outstanding. The grits were amazing. The mac n cheese was huge, enough for 3-4 people to share. Prices were very appropriate, especially when sharing dishes. The only reason I cant give 5 stars is because we had a first-day waiter who messed up the check and missed my order.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.267307692; Sentiment_Subjectivity (from 0 to 1): 0.844230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went to the Frick and needed a pick me up after.  Sat down at a  table and had a pot of coffee.  Coffee was delicious.  The cookies looked amazing but didn't have room.  But the decor.  Ahh.  Old feel to it.  Sort felt like Alice in Wonderland sitting at a tiny table.  Gives it the cool factor.  Later that night I was talking to my aunt and she stated she has seen a lot of celebs in there.  Another reason to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236805556; Sentiment_Subjectivity (from 0 to 1): 0.442361111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Eh.  I love Shanghainese dumplings, but I thought this place was just okay.  I was excited to try it too because I always hear about this place and how great it is.  We walked right in around 1PM and were seated right away.  They seat all small parties in a communal tables.  After about 10 minutes, it seemed like a tour bus unloaded into the restaurant because it was then super crowded.  We came just for the dumplings so we ordered one of each, the pork and the crab.  They were nice and juicy but the flavor and texture of the skin was just not as good as others we have tried.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.41297619; Sentiment_Subjectivity (from 0 to 1): 0.633809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Extremely delicious broccoli rape, steamed clams, veal Parmesan and and octopus salad. Very cozy, nice staff, not pretentious . We loved  it. No reservations and great place to finish off Christmas Day in NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.498333333; Sentiment_Subjectivity (from 0 to 1): 0.870833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Myself and two friends went to this restaurant over the weekend of December 6th and were extremely excited; the menu looked promising and the atmosphere appeared inviting. We found the opposite was the case. We booked a reservation for 6:15 pm because it was the only time slot available. We arrived and the hostess showed us to our seats and immediately had a dismissive attitude-we thought it was just her personality. But it began a theme for the rest of the evening. The waiter we had looked like he was about 16 and was creepy and completely rude. We were given the menus and he proceeded to WHISPER the specials and seemed agitated when we asked what the portions were for two appetizers. We did not order any alcoholic beverages (we had had cocktails before and we having some after) and once that happened-forget it. The rest of the service was entirely dismissive. We were told that we could not order our appetizers before entrees, all had to be ordered at the same time (say what?!) We had barely taken a bite of our tiny appetizer when the entrees came out. Myself and one companion had a portion size fitting for a squirrel. Granted, it tasted lovely, but I wish I didn't leave starving. On top of that there was a couple next to us who did order drinks whom were being treated like kings and queens, while were literally in the corner, ignored. The waiter did not come and ask if our meals were okay (mine was cold) and it took an army to get a refill of water. The entire meal took about 40 minutes we were rushed so much. And at the end when we had paid the check and were waiting for someone to use the restroom, the waiter took our glasses away and TOOK HIS TIP. I find that to be extremely rude. I have never been made to feel so small by a wait staff and I certainly have never met a wait staff that did not want to earn a nice tip. We left offended, disappointed, and cold.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.018121693; Sentiment_Subjectivity (from 0 to 1): 0.536904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My favorite place in K-town. Service is really fast and I love the food. Aside from the soondubu dishes that they are famous for, I recommend the LA galbi, japchae, and bulgogi. Their side dishes are always great and generous. Their kimchi side dish is one of the best I had in the states and almost rivals my grandma's kimichi. I wish I could buy it in bulk :) The atmosphere is a bit chaotic, but if you're craving authentic Korean food at reasonable prices, this is the place to go.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.522222222; Sentiment_Subjectivity (from 0 to 1): 0.733333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tend to be food judges.. But hands down, this was the BEST food I've had in Brooklyn, ever. And quite possibly the best food I've ever had. They could get a better dessert menu though..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.468888889; Sentiment_Subjectivity (from 0 to 1): 0.477777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fat. Love it. Will eat pork belly like a pro. Will enjoy the fatty juices from duck on my potatoes. That said, I don't like chicken skin chips. I don't like spam frieds. I don't really appreciate poorly done fatty sisig. I don't necessarily appreciate having food doused in sweet fatty sauces just to add a mediocre amount of flavor. The yam waffle and chicken was tasty enough, but everything there was overpriced. Nice environment though. Props to that. They are creative but lacking some culinary whoop arse to kick up their techniques a notch.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.020588235; Sentiment_Subjectivity (from 0 to 1): 0.632352941 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in love with Ellary's Greens. After anxiously waiting for them to open, I stopped in on their second day of business and I was not disappointed. Ellary's Greens has officially replaced Hu Kitchen in my heart as my go to spot for healthy food. I came on a nice Tuesday night and they were busy. The space is full of that West Village charm I love. The owner Leith is AMAZING. She sat down next to us and chatted us up. She's so warm, inviting, and we bonded over being southern girls in NYC. The way in which she interacts with her customers shows she really cares about this place and giving us quality, healthy food. Oh, the food. I was so torn on what to get. I wanted both the smoked chicken sandwich and the artichoke panini. I decided on the chicken sandwich and pan roasted sweet potatoes. I could eat those sweet potatoes all day everyday they were so good. I'm a sweet potato lover and the addition of zucchini and cilantro was a win. It was easily my favorite thing. The smoked chicken sandwich was really good, but seeing as the girl next to me got the artichoke panini and it looked way better than mine, I regretted my decision. Ellary's Greens is fantastic everybody. It doesn't matter if you are vegetarian, vegan, gluten-free, diary-free they will have something on the menu for you. The best thing is it's flavorful food made with high quality ingredients at an affordable price. I once defended Hu Kitchen's prices because the ingredients, but seeing as Ellary's Greens provides the same at an affordable price and on West Village rent..... I can't do it anymore. Ellary's for the win!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263698413; Sentiment_Subjectivity (from 0 to 1): 0.544396825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the atmosphere:) the food was awesome. I ordered linguine Nero (shrimp, clam, cod on squid ink linguine). I cannot eat dairy so the waiter recommended and loved it. If you like salted caramel, order Hazelnut chocolate torta for dessert. Yummmmmmy! I'm sure will come back. the service is great !My water was always pouring full and timing for clear the plates.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.536111111; Sentiment_Subjectivity (from 0 to 1): 0.663580247 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 literally come here almost every weekend in the summer - mostly on Sundays -  to get a little day drinking in. I'm completely obsessed with the backyard, the food, and the prices. I've never been anywhere else in NYC where I can get completely wasted, eat the most delicious pork sandwich, and lounge in a backyard for $20. As if that isn't enough motivation to get you in the door, their selection of beers is pretty thorough, too. It's heaven! Sundays are the perfect day to go because it's quiet and you can bring a large group of friends to hang outside.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.219940476; Sentiment_Subjectivity (from 0 to 1): 0.56765873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 decor; the place feels straight out of Louisiana (or maybe Austin, given the Texas flag). The biscuits are awesome, and brunch comes with nice touches like fresh-squeezed orange juice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.7875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for brunch. Contemporary nyc style restaurant serving cafeteria food.  Crowded all the time. Great selection. Great portion size esp the salad. Make sure the servers are around you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.566666667; Sentiment_Subjectivity (from 0 to 1): 0.638888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not worth of an hour wait. food was nothing special. you can get much better fried calamari from other places.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.145535714; Sentiment_Subjectivity (from 0 to 1): 0.386607143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really like Sripraphai.  I've been coming here for a number of years now, after it was originally recommended to me by high school friends.  The drunken noodle dish is terrific, as is the whole snapper in chili sauce.  My wife loves the coconut curry noodle soup.  I also think the chicken curry puffs, the fried crab and pork dumplings, and the shrimp cakes are great.  To top it off, the prices are really reasonable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.203888889; Sentiment_Subjectivity (from 0 to 1): 0.632222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm sorry but the people who complain about this place are just wrong. $32 for 5 drinks and a good burger in a chill place in the west village? How is it possible to complain about anything?  What, you expect no crowd given price & quality?  Then you're in the wrong city, buddy.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.16; Sentiment_Subjectivity (from 0 to 1): 0.88 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rabbit rigatoni was awesome! My two girlfriends wanted to take me out for dinner and suggested this place. Nice little Italian restaurant in the West Village.  I arrived first and was greeted with a big smile from the Hostess who was above and beyond the whole night.  She escorted me to the bar while I waited for my friends and told me she would hold a table by the front window for us.  Once the girls arrived, she realized that our reservation was not in the computer and immediately started apologizing, but made sure we were seated in a good spot and happy. The menu is small, which is a good thing. It means they take the time to ensure the food they do offer is cooked perfectly. We shared the artichoke salad and octopus.  The portions were kinda small but I think they were meant to be for one person.  However, it didn't matter because they both tasted really good. I decided on the Rabbit Rigatoni and my friends had the Beef Brisket and Scallops. The rabbit was absolutely amazing and I fully recommend it. The pasta was also cooked perfectly.  I did taste the other dishes and each was equally as good as mine. An overall great experience and I would try to get back here to try their other choices.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3565; Sentiment_Subjectivity (from 0 to 1): 0.520888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my favorite halal stand by far. With that said, there's so much hype about this place that there's almost no point writing any reviews at all. I'll just get my personal opinion out there anyways. It's open almost all day (yes, morning too! It's a mistake that many people make - but don't think it only opens at night and don't go for the imposters.) The food itself has declined over the years, but regardless it is the best halal place in NYC. The lamb is shredded to bits, which makes it taste so much better. The chicken is great, the sauces is delicious. Unlimited white, BBQ, and hot sauce. One order is large enough to fill you for sure. Great halal overall.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.303383459; Sentiment_Subjectivity (from 0 to 1): 0.600918964 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fine. It is spacious and manages to feel cozy at the same time.  The design is cute...but I cannot understand why they have a television at the bar. It totally kills the atmosphere that otherwise is very warm. The food is solid, but nothing was spectacular- we had the kale salad (probably the best part of our meal), and split a Cuban sandwich and a pasta with sausage. The Cuban was pretty good, the pasta was extremely oily. Overall not a bad experience, but a little pricey for what we had.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.256011905; Sentiment_Subjectivity (from 0 to 1): 0.569404762 [/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: Bareburger takes hamburger to a different level. The combinations are almost limitless and choice of meat includes turkey, ostrich (which is what I had) and many others. The service was very friendly and the place is quite nice. Will be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3175; 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: Best restaurant in astoria! The po boys are delicious. Any room left try they're desert; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/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: So,  I have been waiting 3 months to get a reservation here and couldn't have been more excited to finally be eating at abc kitchen. Well the first mistake was telling our waiter we wanted to have a leisurely meal and could we order as we go or would he course it out.  We were informed he would definitely course the meal so no worries. Next thing we know, we literally still have our forks in our mouth with our appetizers and the next round was placed down. At one point we had 6 dishes on our table, so much for the "coursing." My companion and I both noticed that every single dish seemed to have the same taste, almost a sweet soy sauce.  After the first course it became so nauseating we couldn't even eat the remainder of food. Never have I had such high hopes and been so disappointed. Totally not worth all the hype.... Way better places to eat out there...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.066211362; Sentiment_Subjectivity (from 0 to 1): 0.40446533 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 waited in line for an hour to taste Grimaldi's famous pizza. Their "crack sauce" should only be referred to as such, because no sober person could possibly find this flavorful. The crust is soggy and the servers are rude. I'll stick to Pizza Hut, thank you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.025; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Have been here on a few occassions, and luckily I have been treated very well each time. The food is very good! Everytime I have been there, I have been treated to cocktails on the house and 4 $25 gift cards. Not sure because we were a loud group, but it's been great every time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.636031746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well to start I have to say the white wine here was in the perfect temperature, I can't remember the name but it was fruity fresh and the right match for my seafood tasting dinner it was really an experience, delicate ingredients added to the scallops and oysters yummm I really had a wonderful dinner everything was very good .;) out waiter was super nice and always filling our glasses yummm... Well done chef and staff I'll be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.367619048; Sentiment_Subjectivity (from 0 to 1): 0.598644689 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 excellent. Service is also extremely excellent. Pork belly with kimchee was awesome. Amuse bouche (potato soup with truffles) was awesome. Bucatini with crab was ok. Duck was excellent. Desserts were excellent. Monkey bread was just a dinner roll more or less and a $6 supplement which although not a lot of money was sort of annoying and fairly ordinary.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.477777778; Sentiment_Subjectivity (from 0 to 1): 0.705555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It has a nice atmosphere, but the food is okay. My husband ordered the steak. He liked it ,but it wasn't the best steak. I had the pan fried merluzza   and it had no flavor at all. We ordered the cranberry bread pudding. That was the best part of my meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.74; Sentiment_Subjectivity (from 0 to 1): 0.58 [/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: Joe Allen is very cozy, warm.  Love the theater posters on the wall.  The prices, though, have risen considerably since my last visit..   Arctic char 27$.   Monday is Mexican night, so two of us in our party ordered tacos carnitas even though L.A. has great Mexican food because it was only $12.  My other friend ordered a chicken sandwich -- for the same reason, entree prices steep for what you get, or do not get. It was a Monday night, but by 8 PM, the crowds largely disappeared so Monday is no longer completely dark on Broadway.  We could hear each other even though the ceilings are low. Staff is friendly, food expensive and average -- none too innovative.  But hey, it's survived all these years, remains a popular theater destination, so maybe it's just different tastes for different buds.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.077360248; Sentiment_Subjectivity (from 0 to 1): 0.525879917 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 about 5 times and every time is just as good, if not better than the first. The Chico Grande and Huevos Rancheros are great. Their coffee is from Stumptown and is delicious. The biscuits are amazing and if you have room, the chocolate peanut butter milkshakes are to die for! Prepare to wait because it's a small place but it is worth every second.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.509259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 everything. Delicious food, nice ambience and good service. My only complaint is the waiter seems bit cold and rushed. My friend and I arrived around 5:40 on a Tuesday. We were seated almost right away. Here's what I have to say of our visit. The pork bun were out of this world, so succulent and descendant. We were very tempted to order another one if we didnt have two bowls of noodle coming. We shared the noodles. Both were very flavorful while each has its own distinct kick. Not salty at all. However later that night I did experience dry mouth and thirst that is usually associated with the consumption of msg and/or salty food. We were totally wowed by the experience. We wrapped our dinner with the mascarpone green tea ice cream. Very smooth and with a hint of sweetness. The service was superb as well. They are very efficient at keeping table clean and refill empty glasses. The group salute in Japanese to each incoming customer is quite interesting. I would definitely come back again. Oh, remember to add pork belly to your noodles. For $4, they make a huge difference in your experience. Coming from an Asian background, I'm confident to say their food is authentic at its best. We left the restaurant content and happy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.271385281; Sentiment_Subjectivity (from 0 to 1): 0.53997114 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this spot! We came here for the first time on Saturday and everyone loved it. Yummy drinks and oysters, cute decor. Will definitely be returning in the future.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.345833333; Sentiment_Subjectivity (from 0 to 1): 0.559722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Efficient sandwich shop.  The porkbelly sandwich is delicious.  Fatty pork belly balanced nicely by the pickled vegetables and tangy sauce.  The crunchy bread  served as a nice conduit to my mouth.   Would have been even better with a bigger piece of pork belly!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.733333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First I would like to thank this cafe in the middle of Chinatown. Definitely should go if you got sick of Chinese food. Go during lunch hours, there may be specials. Although pricey the setting of the place is gorgeous.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.039285714; Sentiment_Subjectivity (from 0 to 1): 0.431746032 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: May be a bad luck evening but when we went there the catfish was finish and also the other dish that we wanted to try, only the waiter save them from a 2 stars; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.275; Sentiment_Subjectivity (from 0 to 1): 0.680555556 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: yummy drinks and foods. staff takes care of you like your mama would ;); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25; 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: So freaking crowded here and the restaurant is tiny! If you can get a table, great. If not, just order from the take out area next door. The tables are a tight squeeze and it's uncomfortable. I literally was sitting on top of this poor guy next to me because so many people were waiting inside and crowding around the table. Prices are good for the portions! The corn is just so good though. It's a hint or spicy and there's mayo and cheese on it and you get to squeeze some lime. SO GOOD. I've had the fish tacos and steak during past visits but those weren't as memorable. Still a great meal though!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.283095238; Sentiment_Subjectivity (from 0 to 1): 0.529047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's overpriced for what you can get. I've only tried the mixed berries and I expected more berries inside the crepe :(; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.07; Sentiment_Subjectivity (from 0 to 1): 0.63 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: picture this:   A mother walks in with her twin daughters, about 6 years old.  The one daughter is noticeably drooling across her chin, and the mother, upon noticing, grabs a pile of napkins and reprimands her as she wipes up her chin. The daughter replies in defense, "I can't help it.....it smells so good!" This was the epitome of my visit here.  The pizzeria, mind you, not the restaurant. Here's a description of the source of salivation: - a luscious, scrumptious, hearty dough - thin squares of mozz layered in such a way to democratically cover each square slice - a generous slather of sauce that only elevates the flavor with time (get at least a half square if you're gonna be ordering more than 4 slices, just so you can reap the benefits of leftovers later!) - a full sprinkling of parmesan and dousing of olive oil before going in the oven. Upon my first taste, I thought it was good but nothing to rave about.  However, a mere 5 min. later, I couldn't help but help myself to another square.....and then another.....and peoples, the taste only improves when you devour the leftovers the minute you get home because the craving continues to overcome all your senses. this place is a true piece of pizza machinery.  screw Artichoke with their lines out the door.....this place has fresh pizza coming into and out of the ovens; they got pies on deck only to be swiped away minutes later, and in the summer time, the entire indoors of the pizzeria turns into a full-blown pizza manufactury, opening only 1 window awning to walk-up customers.  Despite any sort of crazed bombardment, you can be guaranteed a slice, square, or half a square within 15 min.   practically instant gratification? top notch product delivery?  5 glorious stars.  mmmhmmmmmm.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.099652778; Sentiment_Subjectivity (from 0 to 1): 0.512847222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their lobster bisque was disgusting. It tasted like tomato broth with shrimp dumplings.  There was no creaminess to it at all, and the menu did not state that it was so watery (versus the usual creamy bisques).  The cost of that was overpriced for that brothy disappointment. And, yes, I ate it all.  There's no way I'd throw that money down the drain. The salmon was delicious, crispy on the outside, and succulent.  The chickpea fries were a hit.  Definitely overpriced, but at least they tasted good.  At the end of the day, this place was all hype. Service is good.  They were very nice about getting my order in before the kitchen closed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.064537037; Sentiment_Subjectivity (from 0 to 1): 0.515740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent ramen, delicious pork buns.  Very trendy and no reservations.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.926666667; 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: Two things you must try here. 1. The corn 2. The diablo chicken sandwich; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.6; Sentiment_Subjectivity (from 0 to 1): 0.95 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Still one of my favorite restaurants.   The food is phenomenal and the service is friendly and unpretentious.  I always order the bucatini (perfection), but the other pastas are just as fantastic.  Also try the prosciutto or one of the in-house meats (testa-yum!) and the pork shoulder.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.655 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's certainly not a traditional ramen shop in Tokyo.  It's a hip place that serves really tasty ramen and other items like Japanese style fried chicken.  The service is efficient and friendly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.025; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one word Amazing!!!!!. Starting from every small detail in the service down to the food and deserts eastwick has it all figured out. I went with a few friends last week and it was simply the best meal I had in a long time. Starting from our drinks, we has great red wine dwon to my main course the special lamb shank it was great. The meat was perfectly coocked tender & juicey not extra seasoned so the natural flavor of the lamb was very present. My desert was great warm appale pie that was not to sweet and havey like in some places. Service was great and manager came to talk to us and welcome us, seems like they know the regulars here. I will gladly come to eat at eastwick again the first chance I get great experiance; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.347080499; Sentiment_Subjectivity (from 0 to 1): 0.46074263 [/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 heard from a few New york friends that Joe's Shanghai is THE place to go for Chinese in NY, and they were right. There's a slight wait on the weekend, but its worth it for the bomb xiao long bao. The only downside is that they sit you at big round tables with random people-but everyone's to busy eating to really care!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.003429903; Sentiment_Subjectivity (from 0 to 1): 0.327455877 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've only been here twice, and both times had the grilled swordfish, which is still the best I've ever had.  Swordfish is really easy to overcook because it's such a firm fish, but they did it perfectly both times, making it indescribably tender and juicy.  I also like their peasant salad, which is chopped tomatoes, cucumbers, and red onions topped with big chunks of herb-coated feta cheese and kalamata olives.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.279166667; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pure Thai is one of my favorite places in Hell's Kitchen. I like how easy it is to get in and out quickly during lunch hours. The staff is friendly and the service is excellent. The prices are compatible to other Thai restaurants but their food is better than most.  If you make a trip to Pure Thai Cookhouse you will not be disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.29047619; Sentiment_Subjectivity (from 0 to 1): 0.632575758 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: haha honestly nothing beats shabu shabu i eat at home, but this place isn't too bad. The meat isn't bad, lots of veggies to put in as well. i guess i'm just spoiled with food at home, but overall it really isn't bad haha. i'm just being picky.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): -0.157142857; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Although I've never eaten their meatballs, I can surely vouch for the ice cream sandwiches. I mean, you really can't get much better than a big scoop of homemade ice cream sandwiched between two soft, luscious cookies can you? I thought not. I ordered a sandwich with an oatmeal cranberry cookie and a snickerdoodle with caramel ice cream that absolutely made my heart skip a beat. Probably the creamiest, most delicious caramel ice cream I've ever tried. You can definitely tell that everything was fresh and homemade from quality ingredients. My friend ordered a sandwich with gingersnap cookies and vanilla ice cream that was also pretty magical. Without a doubt the best ice cream sandwiches in the city. Oh, and the staff is extremely friendly as well which is always appreciated.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33203125; Sentiment_Subjectivity (from 0 to 1): 0.564149306 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food, good happy hour specials, and a good atmosphere. If you are looking for a hipstered out bar to be seen at, then go somewhere else. I like this place because they have TV's for sports games, quality happy hour specials, and a great deck out back (includes a beer pong and actual "stoops" to lounge on). The staff is friendly and the place has (so far) seemed to steer clear of hipsters.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.452272727; Sentiment_Subjectivity (from 0 to 1): 0.621212121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 small but it felt cozy rather than cramped. Get the lamb sandwich!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.102430556; Sentiment_Subjectivity (from 0 to 1): 0.605555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Top 5 reviewed place and no wonder. One of the best banh mis in the city. Hands down. (please don't even mention Nicky's in your reviews cuz you'll be shot down) This year I've noticed this place has gotten way crowded during lunch hour. (Again, I curse all hipsters for trying to ruin good places that eventually jack up their prices). I hope they don't lose their charm due to the many accolades they've been getting the past few years from many. Been dedicated to this place since 96.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.219444444; Sentiment_Subjectivity (from 0 to 1): 0.427525253 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 few times for lunch and dinner and really enjoyed it. First off the drinks are great. They are strong and tasty and not watered down at all. I was tipsy after one large glass of sangria. The place is always pretty loud and crowded so don't expect to come here and have a nice, quiet romantic dinner. The chips with guacasalsa are a good snack to munch on throughout the meal. Their tapas are pretty varied and tasty if perhaps a little bit overpriced. Definately a fun place to have a few drinks and some tapas. You'll walk out happy and tipsy.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.24747575; Sentiment_Subjectivity (from 0 to 1): 0.575970018 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: T emailed me last minute and asked if I wanted to come here before T zooms away on a business trip. Since T and I totally misses each other when we don't see each other for a long period of time.  Well at least I hope T does as much as me! =OP So of course I said YES since I was experiencing T withdrawal...haven't seen T for over two weeks or perhaps it was just a week but it seriously felt longer! Okay this review is not about T but about Super Taste! E and I usually go home together but I advised I have to meet T for dinner. E asked where and I said Super Taste but I told E I never even heard of this place before. E said SHOCKER since I am a total Foodie! After T and I walked over there - I discovered the reason why I never heard of this "restaurant" before.  It's a hole in the wall place and I wouldn't even call this place a restaurant. This place is filled with ASIANS only!  I guess it's a good sign if you're going to get Asian food. T and I sat down and both got the Spicy Beef with hand pulled Noodles.  I was excited to see they were hand pulled but they're not the version that I was hoping for.  I like the big fat type of noodles but these were the small ones. *sigh* The noodles were good but I didn't get to eat any of the hefty loads of meat that they put in each bowl.  I don't know the specific name for this meat but it's the meat that are sliced thinly with a thin zig zag lines of transparent areas. But I love the spiciness of the broth and so no need for any extra flavouring. We saw this guy that was sitting next to us that was gnawing on some mixed beef.  He looked like he LOVED it.  But the way he was eating it totally makes you loose your appetite. P.S   They don't have real silverware...everything is PLASTIC even the soup spoons!  More waste added to this polluted Earth!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.080738706; Sentiment_Subjectivity (from 0 to 1): 0.459993895 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 son took me there for father's day and it was really worth the trip. I usually don't like to go anywhere that I can't get parking but it wasn't a terrible trip on the subways. I live at the opposite end of Brooklyn so it was over an hour. We came once before to find that they only do lunch on weekends. The wait in line was slow moving but the food was worth waiting for. We had samples of almost everything as they let you get whatever you want by the pound. The duck was my favorite even though the ribs are as good as I've ever eaten. The flavor was in the meat and I didn't feel the need to add any sauce. Potato salad and beans were excellent as well. They didn't have any pork ribs on the menu today and am not sure if they carry it. The wait staff (behind the counter) were friendly enough and actually looked the part almost if they were picked by their looks. They have another place across the street, St Anselm, that I want to try next. I understand they have outstanding steaks. Try it, you'll love it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.111124402; Sentiment_Subjectivity (from 0 to 1): 0.532309942 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend who lives around the neighborhood recommended this place to me.  I've never heard of it before but I checked on Yelp and the reviews were mostly positive so we decided to check the place out. If you are trying to get a complete dining experience this is not the place for you.  However, if you like great Szechuan food, this place is pretty on good. We got there around 6:30 pm and got a seat right away.  May be an hour later there was already a wait for tables.  Perfect timing.   We ordered the dan dan noodles, the pork belly in garlic sauce, the scallion pancakes, the three cup chicken.  Food came very very quickly (which is what you would expect from a busy chinese restaurant who wants to turn over tables quickly).  We didn't mind it cause we were very hungry.  I especially liked the dan dan noodles.  It had just the right amount of spice.  Also, the pork belly in garlic sauce was delicious.  My friend claims she can drink the sauce it was that good. The least of our favorite was the three cup chicken, despite many reviews stating it's good.  I guess it all depends.  It was cooked with star anise which isn't my favorite spice to begin with. To me it tasted bland.   If I ever have a craving for Szechuan food, I will definitely visit this place again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.301803752; Sentiment_Subjectivity (from 0 to 1): 0.61297098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently tried Traif after trying Xixa.  I found the portions to be a little bigger at Traif but the ingredients/dishes are similar.  I came with a group of 6 and we were encouraged to order about 18 plates.   We chose: Pork sliders, short ribs, brussels sprouts, soft shell crab, fried muenster cheese with chorizo, scallops, pork belly, shrimp, tuna tartare, prawns and fried chicken. (Some of the dishes we chose more than one so every one could have a generous taste.) My favorites were hands down the brussels sprouts, tuna tartare, pork sliders with sweet potato fries and the muenster cheese with chorizo.  There are a lot of heavy dishes so as you get full you tend to enjoy the next dish less than you probably would if you had it in the beginning.  The waitress never brought out the shrimp but by that time we were so full we didn't say anything and it wasn't on the bill so we didn't mind. For dessert of course we tried the bacon donuts- yum yum yum!  It tasted like a churro with a little salty taste. I liked the vibe, decor and service so I'd definitely come back.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.062013889; Sentiment_Subjectivity (from 0 to 1): 0.432777778 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Joey. Great job last night. Thanks for taking care of us. Sorry we stayed so late. Cult; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.04; Sentiment_Subjectivity (from 0 to 1): 0.523333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Look I will be perfectly honest, I DON'T eat from street carts and since I saw the Law and order episode on SVU  where the carts were stored in some Hell's kitchen garage run over by rats and roaches I was forever scared of stepping close to one. BUT after about 15 years of no hot dog stand, street meat or anything cart related I was overcome with a new perspective inspired by the AMAZING smell of this food coupled with the Midtown Lunch crazy long lines I see all the time or the gossip I hear all over about its goodness but try to ignore. Despite all of this........One day I tried the Chicken and Beef combo from a friend and was completely converted. The food was delicious! (Always ask for extra of the red sauce if you like your food spicy) and Although I am a follower I still want to know where they wash their hands!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.08844697; Sentiment_Subjectivity (from 0 to 1): 0.604545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So chill. Came for brunch with a friend and had the french toast with plum compote. Ranked very high on my french toast hierarchy! Airy feel, easy to make conversation, great service, and no pressure to order a huge bill. Highly recommended!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.291619048; Sentiment_Subjectivity (from 0 to 1): 0.532190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Falafel... I have found your king.   With 3 flavor offerings, Taim puts up some insane falafel.  Moist, crisp, flavorful.  For $10, the falafel plate is an amazing deal to see what they hae to offer, but it's better to just maybe get 3 orders of falafel for the same price. The falafel plate comes with some of the best pita around, grilled and seasoned.  Harissa falafel has a perfect light punch.  Original has a delightful salty herbiness.  Red pepper is mellow and has a slight sweetness.   Apart from the falafel and pita, the rest of the plate isn't really on the same level.  Eggplant-tomato salad is slightly sweet and moist.  Tabbouleh is a bit lacking in punch and flavor.  Hummus is pretty ordinary, as is the baba ganouj.  Both have blandish flavors and a plain texture. Though most things here came off as alright, the falafel makes it way worth it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254478458; Sentiment_Subjectivity (from 0 to 1): 0.501927438 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very excellent meal.  HIghly recommended. Everything about the restaurant - from interior design to food presentation and staff attire - was carefully architectural.  Clean simplicity complemented by fabulous specifics rules the day - whether it's the white walls with dark wood trims complemented by a huge bouquet of cheery tree stems / blossoms, or the beautiful green of perfectly strained pea soup with a few floating dehydrated peas. The help was attentive - maybe a _smidgen_ too-much so; don't drink more than an inch of your water glass, or the help will be by to fill it.  Not really a big deal with water - but the same attentiveness drains your wine bottle quickly.  (Maybe this is by design, to increase the chance they'll sell you 2.  ;-) My wife and I are eating Gluten-free (by choice).  The menu had plenty of good choices, and the waiter was nicely attentive to the issue (due to his own Coeliac disorder).  Sadly, the dessert course was sadly lacking for this, though - limited to ice cream / sorbet. (One area that could be improved, for sure, given the trend towards gluten-free across the population.) The only reason I'm not giving the restaurant 5 stars is that I need to reserve it for truly-amazing meals.  I've _had_ 5-star (or 1-2 Michelin star) experiences that have been mind-blowing.  The food at Perry St. was fantastic; the price was up there, but not rapacious by any means; and the experience was good.  But I've got to reserve 5-stars for the truly mind-blowing restaurants. That said, Perry St. was very, very good.  Just go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.28140553; Sentiment_Subjectivity (from 0 to 1): 0.685540195 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 think I can ever have any other burger ever again. Umami Burger blows any other burger I've ever had out of the water. You have no idea how excited I was when I heard New York was finally getting our very own Umami Burger. During all this hype of the grand opening, I only had to wait 30 minutes for a table of two, but I've heard larger groups being asked to wait for an hour, which isn't TOO bad. I definitely think it's worth the wait. The whole idea of umami is the 5th taste -  savory. I honestly had no idea it would be this good. With my bf, I split the manly burger, truffle burger, and truffle fries - truffle all day, everyday.  The truffle burger was my favorite, and this is the burger i've been waiting for my whole life. Listen to the waiter's suggestion and get it MEDIUM RARE! It's soft, juicy, and full of flavor. It's so savory it makes your mouth water even while you're still eating it. The umami ketchup they give is really great, and the perfect compliment as well. The manly burger was good too and so were the fries, but I wish they were cut in thicker slices or gave more! I finished those babies in no time! But if I'm wishing for things, I would want bigger portions of everything there. I can't wait to go back and order something off their secret menu. I've heard of other creations such as the kalbi burger, duck burger, and b.u.b burger. I will be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.216858504; Sentiment_Subjectivity (from 0 to 1): 0.591813294 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there for lunch with a friend and we were chatting it up until our portabella and kobe buns came to our table, and then silence! For the both of us: food too good to talk while you're eating. Am craving it right now as I write this. The bun itself is how you would imagine a cloud to taste. The texture was so pillowy soft, and the taste sweetly hit the spot. We both had the wasabi ramen as our entree. Thank heaven for perfectly cooked tasty noodles. And what great service! Can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.490816327; Sentiment_Subjectivity (from 0 to 1): 0.555102041 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Move on - there are better choices on Restaurant Row.  Food was overcooked, slow to come out from the kitchen.  Service is fine.  One of those places where you say to yourself "I could have made this better at home"  And I don't even cook!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310416667; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is almost certainly the best pizza in the area and would still be pretty decent anywhere else. The pizza is thin, pleasantly crisp, and doesn't seem like it would get soggy easily; you won't find your slice flopping over and sending your toppings tumbling off like you would, say, at Lombardi's. And of course, rectangular pizza means coveted corner pieces, which boast that much more surface area of delicious crispy edges. As for criticisms, the pizza's just a touch too sodium-y, which I'd expect from a quick 'n' cheap pizza joint, but not from an establishment where a single pie will easily run you $25 plus tip. And yeah, it's kinda pricey, but y'know, FiDi. Of course, given the popularity and the area, Adrienne's seems to be pretty goddamn crowded at all times, and good luck hearing anything your meal companions are saying while inside. Service was fast and friendly, but near the end of the meal you could tell they were itching to shoo us out of there--though not impolitely or overly obviously so--to make room for waiting customers. We were lucky enough to get seated right away since we were only a party of two, but bigger groups can expect a long wait. My main issue with Adrienne's, and why I wouldn't rate it higher: It's good pizza, but not knock-your-socks-off good, so unless I'm entertaining or trying to impress I'd much rather avoid all the hassle and go grab a quick, still-pretty-tasty slice at nearby Pizza Pizza or something instead. Then again, I don't think they even do single slices here, so if it's SadLonely lunch dining you're looking for then Adrienne's doesn't have much for you anyway.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.284768908; Sentiment_Subjectivity (from 0 to 1): 0.576540616 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was nice.  Let me break it down: Ambiance: 8/10 The music was a little too low.  However, it is a small, romantic atmosphere. Food: 9/10 I had the Spicy Basil Lo Mein...mmmm mmmm mmmm!  For an appetizer I had the crab rangoon, which was good too.  I want to go back and try the other food there now.  That's all I have to say for that. Price: 8/10 Meaning it wasn't expensive for the food that you are getting.   Service: 9/10 They were very attentive, nice and I never had a half empty cup of water. Overall: 8.5/10 I would definitely go back again!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.058454861; Sentiment_Subjectivity (from 0 to 1): 0.458159722 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My favorite place to stop in New York City -- and send friends to when they visit (so they can bring them back home to me!) :) I read a few reviews and saw some mixed comments on the service at this location. I have no complaints about the service - everyone seemed friendly and amused by my excitement to order some macarons. I do recall waiting in line for 15-20 minutes on avg. but it's worth it! The small store to the right was lovely -- although a $60+ candle wasn't really in my price range. My favorites: Pistachio Rose Petal Lily of the Valley Vanilla I can't wait to return! I love keeping my little boxes and bags from my purchases.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.232305195; Sentiment_Subjectivity (from 0 to 1): 0.489350649 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Some of the best handling of salmon I've seen at a casual dining restaurant in the city, particularly considering the fairly modest prices. I've tried several other entrees here as well and they haven't had a misstep yet. Recently ventured into trying their cocktails and have to give them kudos for those too! Delicious and creative. Be prepared, however, for a long wait if you're going on peak weekend hours and brunch. Weeknights or weekday lunches are your best bet for quick seating and service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.285416667; 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: Out late? Check. Drunk? Check. Have a hankering for the best Halal food in NYC? Check. If the 2000 people before me didn't already convince you, then... there isn't really much I can say to change that. The food comes out piping hot and pretty quickly. I got the Chicken and Rice at the urging of my friend. The meat was so juicy and delicious, and chock full of flavor. It goes great with a covering of white sauce. BEWARE however. My friends and I didn't know that the red sauce is dangerously spicy. So I covered my rice in it, expecting it to have a bbq-esque taste. DAMN, I was SO wrong. And I paid for it. The entire cab ride home to my friend's apartment was spent in sniffles. The three of us must have seemed the most miserable people the driver saw that night. We basically sat in the backseat half- crying our eyes out from the spice, and half- laughing at our mistake.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.025; Sentiment_Subjectivity (from 0 to 1): 0.575378788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmmmm. . . a classic NY place -- tiny little restaurant where everyone is packed in, but no one cares because the food is oh-so good. It's really easy to walk right past this place and not know it (in fact, that's exactly what I did -- twice -- while looking for this place). The white peach sangria is a lovely sweet summer drink. We enjoyed all of the tapas that we ordered. Gambas San Martin (shrimp in white wine sauce) was a hit. I sopped up the sauce the shrimps were cooked in with the bread. In fact I would have been happy with that alone. Albondigas (the meatballs) were very tasty. The patatas bravas were probably our least favorite dish. It was a bit too salty and some of the pieces were too dry. Croquetas de jamon was absolutely perfect. Crunchy exterior and incredibly smooth and creamy interior. We also ordered the daily special stuffed peppers with crabmeat, very tasty. Definitely coming back here again. A wonderful NY restaurant.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263026557; Sentiment_Subjectivity (from 0 to 1): 0.496428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 staff was warm and  friendly  and the food delightful. I really enjoyed the Northwest Chicken Salad. There is something addicting about the dressing. The jerk chicken is spot on; wonderful, peppery, goodness. Overall a very enjoyable experience, will definitely be back. I look forward to trying the crab cakes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.256818182; Sentiment_Subjectivity (from 0 to 1): 0.634545455 [/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: Waiting in cold winter a long time. Bad service and loud music. When you give them small a mount of tips they will ask for more. Ridiculous; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.19047619; Sentiment_Subjectivity (from 0 to 1): 0.680952381 [/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: Generally speaking, "Spanish tapas" and "vegetarian" don't go well together. Indeed, the first time I visited Las Ramblas (with the brilliant Lucy L, who I shall forever cherish for this introduction), I noticed lots and lots of things on the menu that I really did NOT want. With some trepidation, I ordered a cheese plate, a glass of Txakolina, and had a bite of Lucy's patatas bravas when they arrived. I liked it all *okay* enough, but wasn't bowled over. But somehow, the place was so inviting and sweet, the service was so lovely, and Lucy's enthusiasm got me back a second time. By the end of that visit, I was converted. Try the tortilla, a light and perfectly seasoned traditional potato-egg cake with aioli and olives. And if the cheese croquetas are available, order them, but please have a heart, and leave a few for me. Last time I went, they were fresh out of them, much to my disappointment. The thing is, you can't stay disappointed (or in a bad mood... or sober...) after a while at Las Ramblas. Whether you're sitting in one of the perfect open-window seats, or on a high stool, shoulder-to-shoulder with other revellers, you can't help but smile. I'm grinning even as I write this review... Vamonos!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.146666667; Sentiment_Subjectivity (from 0 to 1): 0.445617284 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: so surprised to find something like this in midtown, you walk down a narrow staircase into a basement that's decorated as if its in a different location i came for lunch during their soft opening when the prices were discounted (perk!) .....so i can't say anything for how it is as an izakaya BUT i can say that this is authentic japanese food. i had the the tempura lunch box, it came with japanese style potato salad which is nom service was a little slow though but i would come back here!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.010732323; Sentiment_Subjectivity (from 0 to 1): 0.380808081 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Forget Jesus. Forget Allah. Forget Krishna and Buddha and the Horned King of the woodlands. The reason we're on this earth is to enjoy a Banh Mi Saigon from the titular restaurant in the midst of Chinatown. Throw in a delicious iced coffee to give the Devil his due and spend about $6.50 total. Amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.329166667; Sentiment_Subjectivity (from 0 to 1): 0.604166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Addictive lay spicy, super delicious cuisine from the region around Xi'an, China, where the flavors of lamb and cumin are both very popular. Their hand-cut noodles are legendary, but I always get the spicy cumin lamb burger, which is a steal at $3.50. Tiger vegetable salad and spicy cucumber salad help balance the meat- heavy menu, and cool you down a bit, too. This place is one of my all-time favorites in NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.388472222; Sentiment_Subjectivity (from 0 to 1): 0.750694444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, all those wasted years of going to Grimaldis! I have found a new place to bring my out-of-town visitors to for NY-style pizza. After being rudely treated at Grimaldi's, I decided to check-out Juliana's next door. I feel like Grimaldi's has been dependent on their reputation this whole time, and the quality of their service has diminished. After trying Juliana's, I realized that the pizza is not too oily, and you don't develop an unbearable thirst afterwards (like the kind you get after eating cheap Chinese take-out). The restaurant space is much smaller than at Grimaldi's, but the wait was not as bad as Grimaldi's. From now on, I'm going to Juliana's!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.001033058; Sentiment_Subjectivity (from 0 to 1): 0.474655647 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best shawarma ever!!!! Being from the middle east..im very picky and needless to say this was great.. wish it wwas more authentic with the bread rolled up rather than an open face pita!! Falafel was great as well... the guy at the counter is the epitome of the NY mentality... get it while its hot and get the f@#$ out the way.. CASH ONLY!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.322727273; Sentiment_Subjectivity (from 0 to 1): 0.609090909 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite restaurants that I keep going back to, over and over.  Love the polenta, spaghetti, and panna cotta.  They also have a great bread basket.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to pass this place all the time and always wanted to try it. Finally I got the chance. Getting a table can take a while, but it's worth the wait. The place is darkly lit and it can get loud. Feels like a pub that serves great food. My cocktail, the revival I think, was very good. I ordered the fried chicken and that was great as well. Would love to go back and try their other stuff.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.230454545; Sentiment_Subjectivity (from 0 to 1): 0.591363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Long wait to get in, but worth it. You can wait at the huge bar they have in front. Here is what I got that I thought was good: Bacon Wrapped Dates & Olives, Fried Goat Cheese, and Braised Short Rib.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.27; Sentiment_Subjectivity (from 0 to 1): 0.46 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went bc it's close to Angelika. Reviews looked good. We got the balsamic liver thing and the lasagna and some beef dish. It was edible but I never want to have any of it again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Song is great for two reasons:  Delicious food from almost any item on the menu, and at an affordable price.  The mango salad is a must, the curry's can be a little sparse, but are not lacking in flavor.  All the noodle dishes, including the pad see ew and the pad thai are savory and addictive.   Service is okay, but the reason for the 4 stars is that it's not "oh my god that's the greatest thing ever" type food, but has definitely become a weekly staple in Park Slope.  Compared to Beet, which I think tastes a little better, Song has better value for the price.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3925; Sentiment_Subjectivity (from 0 to 1): 0.665 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great great snack food for a quick drop-in before and/or after the bar. Was wtih friends and tried almost everything, to my surprise the Bean Taquito done "chronic" style was my favourite. Fast service, too. Will definitely be heading back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.419047619; 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: We decided to stroll by The Marshal on our way to the theatre based upon the reviews. This restaurant was a sure highlight of our weekend! It is tiny, tiny, tiny but so cozy and welcoming. The staff are very friendly and attentive. Our Bloody Marys were great and the food was excellent. The menu changes daily given availability of fresh local ingredients (the restaurant uses all regional sources). We were not rushed, yet we never worried we'd be late for our show. If you can get a seat at "the bar", which looks out over the restaurant and into the street, choose it. Great views and a delightful feeling of sitting at the head of a bountiful, joy-filled holiday table!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25703125; Sentiment_Subjectivity (from 0 to 1): 0.636805556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 champs! Their scones rock! I didn't know they are vegan but that's cool to find out! I've always liked vegan baked goods better anyways.  Everything that they make is slamming!  I don't think you could go wrong....I liked it so much I made a short little video too...check it! youtube.com/user/laurabi…; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.376171875; Sentiment_Subjectivity (from 0 to 1): 0.54375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: got here right when it opened, and had absolutely no wait on a weekday during christmas week. the akamaru modern ramen is to die for. i will dream of the hot steaming broth, the chewy noodles and the slices of pork belly -- 95% fat, 5& meat -- for weeks and months to come. the pork buns were delicious and pleasantly spicy; my only wish is that they come 4 to a plate instead of just two for $7. me wantee pork buns!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338435374; Sentiment_Subjectivity (from 0 to 1): 0.793197279 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 (both in our upper 30's) stopped in here for lunch after visiting the Memorial.  We sat outside on the sidewalk and enjoyed the people watching.  I ordered the grilled cheese/bacon sandwich and it was scrumptious! The tomato basil soup was so good that I nearly licked the bowl! Waiters were quite snobby.  Service was very fast and food was yummy! 4 stars on food only.  2 stars on friendliness of staff.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.253571429; Sentiment_Subjectivity (from 0 to 1): 0.504285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BFF and I arrived roughly at 3:45pm.  There was about 15 parties on the wait list in front of us.  We weren't expecting a long wait since preparing the ramen dishes take like 2 minutes and the turnover is fairly fast, unless the asshole customers decide to lollygag when there's a long line out the door.  That being said, we ended up waiting about 1.5 hours.  I know that's normal by NYC standards, but my stomach was talking to me.  Once we got seated, I decided to go with the extra spicy ramen $10.75 (what a steal) and bff went with the miso ramen.  The spicy sesame was mouth watering good.  There was plenty of scallions and char siu in my ramen.  Would it be wrong if I said, that this is better than Ippudo?  My sister who's an avid fan of Ippudo nearly slapped me, when I said that.  For now, Totto Ramen is one of the better ramen restaurants in my book.  I will however make it a point to have Ippudo next time I'm in town.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.130769231; Sentiment_Subjectivity (from 0 to 1): 0.496153846 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and great drinks. Lamb chops were amazing! Only problem was getting seated.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5875; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: All the good reviews are true. I went there for dinner last month and it was one of the best New American restaurants I've been to in a long time. The quality was on par with great restaurants in Manhattan. Every single thing we ordered was wonderful. Including the wine. Now that I think about it, the alcohol may have clouded my judgement. But I remember everything tasting amazing. Almost orgasmic. Absolutely everything was perfect. There is nothing I would want to change. I just wish I had the time to come back. And I hope it lives up to my memory.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.404638219; Sentiment_Subjectivity (from 0 to 1): 0.516821274 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tried their unlimited drinks brunch along with the steak and eggs breakfast. The steak was perfectly cooked and their strawberry drink was absolutely delicious. It pretty much tasted like spring in a glass.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.6125; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>