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: Wow I didnt realize Gaia makes each dish and that just made it 5 stars. Damn good and real Italian food here. I had an iced latte and panini and it was delish. Coffee was well done like a real cafe should. I ordered the Milanese Panini - fried chicken cutlet with tomatoes and pesto sauce. A bit messy to eat but I enjoyed it like a little kid with melted chocolate. I loved the toasted panini that added the extra crunch. I saw a number of customers order the cooked bowls, will take a note to try next time. Environment is also a plus, very homey and automatically makes you comfortable. 'Nuff said-this won't be my only trip..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.129464286; Sentiment_Subjectivity (from 0 to 1): 0.532142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been a while since I've reviewed but I never neglected Yelp, as it helped me find this amazing restaurant! Me and my girlfriends had just gotten out of the Fuerza Bruta show in Union Sq. and we were starving so we found this place. When you walk in, it is rather small but super cozy and warm. we waited for a table for no more than 10 minutes and the waitress was nice and dealt with my inability to order fast and tendency to scan the entire menu 10 times lol. I had the penne pasta with eggplant and mozzerella; and white wine (Pinot Grigio to be exact). The food was delicious. This is not your typical italian restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.244444444; Sentiment_Subjectivity (from 0 to 1): 0.566111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: UGHHHHHHHHHHHHH I wanted to STRANGLE them. I had planned a surprise for the birthday boy. I called ahead to let them know people will show up first and then I'm going to bring the birthday boy as a SURPRISE. I walk in with the birthday boy, what's the first thing the lady says "yea they're upstairs already" Birthday boy goes "They?? Who else is here?" I am almost certain it is the same girl I spoke to on the phone. THANKS A LOT FOR RUINING THE SURPRISE. On top of that, none of the staff speaks any English, only mandarin. They didn't understand anything we ordered, good thing we had a few friends that spoke mandarin. Even then, they were still a little confused. Completely inexperienced staff.  I would never come back by choice.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.087627551; Sentiment_Subjectivity (from 0 to 1): 0.397363946 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This review is based solely on the how the pizza tastes since I did a takeout order. I got the margherita which was recommended by the hostess. It was a decent sized pizza for one, priced fairly at $12, pretty tasty, a little dry but nothing to complain about. The spot itself looks pretty romantic for a pizza spot, I would definitely want to come back for a stay in dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0515625; Sentiment_Subjectivity (from 0 to 1): 0.595833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: finally got to try the infamous boil while visiting NY! flew in from LA and arrived after the kitchen closed on friday night. was so disappointed (is there a way to update yelp's profile to distinguish between when the kitchen and when the bar closes?) but came back a day or two later and ordered a pound of crawfish.  right away i could tell this is fun place by the crowd. It can be a little hard to hear at times because of the loud music. the owner, donald, chatted with me and gave me some VIP service at the counter. i mentioned how the sauce tastes more buttery than our los angeles crawfish places, and he told me it's because the other restaurants use margarine (a cheaper ingredient) and that's what creates the oily layer on top. Ahhh, very interesting. i am determined to eat my way through all the asian crawfish joints across the country!  the fingerlicking sauce tastes so much more than the traditional spice boil.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.042030423; Sentiment_Subjectivity (from 0 to 1): 0.483465608 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars, rounded up for an implicit BYOB policy. Coming back from the beer store a few blocks away (read: went to the holy mecca of beer distributors: American Beer Distributing and Thrifty Beverage Center), I popped in here for a quickie. After ordering from the nice lady at the counter, I capped open a specialty beer - tasted like wine-beer, and waited for my order. The grilled pork chop sandwich was chunky and had good quality meat. The pickled vegetables were not as pickled as I liked them to be and the surface area to volume ratio was low - e.g., not enough finely sliced strips. However, I liked that there wasn't an invasion of mayo on my sandwich and the freshness was right on! Also, warning to the pee prone.. there are no bathrooms here!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.235622711; Sentiment_Subjectivity (from 0 to 1): 0.441208791 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: nice place, nice people, nice steak, what can I ask more..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: THE BEST PIZZA! Take it from a pizza lover this place is pizza heaven! It's made fresh and the ingredients are very tasty.  Yes, it does take about 30-40 min waiting in a line outside to grab a seat in the house (even in freezing weather) but it's worth the wait. When in NYC be careful to fall into the "ALL PIZZA in NY is good" type of thought because NOT all Pizza is good in NY. You have to choose carefully and wisely. This place has been around for years and after my first visit 5yrs ago in the city nothing has changed about their service and quality of food. I absolutely recommend it and its a MUST for a first visit to NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.338461538; Sentiment_Subjectivity (from 0 to 1): 0.532051282 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 overall but razor clams were weak. service was also decent but the place is very small and tables are tight.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.01468254; Sentiment_Subjectivity (from 0 to 1): 0.474563492 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great but not sure it's worth the wait. During peak hours, it can be up to a 2 hour wait. Love the sugar bacon, pancakes, biscuits and accompanying sauces. It's definitely my fav place for brunch but I don't go as much as I'd like since the wait is always so long.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.214285714; Sentiment_Subjectivity (from 0 to 1): 0.491269841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If this place was closer to me I'd go everyday.  Soy patties are the best in the city - you can't eat just one!  Vegetarian spare ribs with vegetables, served over rice, are outstanding.  Vegan pumpkin bread was tasty, I'll try carrot next time.  There's always good music playing and friendly people behind the counter.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282142857; Sentiment_Subjectivity (from 0 to 1): 0.510714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Heavenly comfort food. Perfect for soaking up all that alcohol in your stomach. I ordered to go, the pulled pork, chicken and waffles, tater tots, and of course the chicken biscuit. Everything was cooked to perfection. But the pulled pork was a bit disappointing. Otherwise The staff was nice and helpful!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.01; Sentiment_Subjectivity (from 0 to 1): 0.92 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, superb service. This small restaurant is great value for your money and palate :-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.57; Sentiment_Subjectivity (from 0 to 1): 0.78 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a quaint, tiny, but fantastic little neighborhood joint. Well-worth the visit, esp. if you can go when it's not crowded (at busy times I've seen a line outside). I've never been for dinner (although I've gotten dinner delivery) but this seems to be a perfect weekend brunch or lunch spot. Everything we've ordered has been delicious and very authentic. Great vegetarian options. Make sure to order one of their blended fruit juice drinks. Service is slow, but friendly + excellent and they were very accomodating of our toddler.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.395535714; Sentiment_Subjectivity (from 0 to 1): 0.647420635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 almost don't want to review this place because I want to keep it all to myself! Came here for my friends birthday and we were able to have all of upstairs to ourselves. I ordered the basil fried rice...ugh so good, it has shrimp as the protein just FYI. They are big juicy shrimp too. My husband had the duck noodles and he didn't stop talking about it until the next day. They also have a really good mixture if specialty drinks. Highly recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.343333333; Sentiment_Subjectivity (from 0 to 1): 0.410833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, excellent, excellent. Went here for dinner on a Friday night, without reservations, and were seated (in the tavern) within the hour. (Tip: go to Flute next door for a glass of champagne if you need to kill time) I was thoroughly impressed. The food was delicious - the "purple potatoes" were divine, the chicken was very good (not the best I've ever had), and the cheese plate was extraordinary. The drink was perfect (some sort of vodka concotion) - smooth and silky. The waiter was omnipresent - always there when we needed him yet not hovering, and very knowledgeable. When the cheese plate was brought out, we got a thorough description of each cheese. There's nothing better than a well-educated, astute staff. If I lived in NY, I would be planning my next meal here, but it will have to be saved for the occasional cross-coastal jaunt. Excellent value for the price.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.571851852; Sentiment_Subjectivity (from 0 to 1): 0.686388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place for a quick meal, take out style but with upstair seatings.. Good vietnamese sandwiches.. their menu is WHAT YOU SEE IF WHAT YOU GET.. you can't really create your own style.. whatever is on their menu is what you are going to get it I'm sure you going to find something you like if you enjoy vietnamese style sandwiches.. standard price!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.554861111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 luncj special todsy. Double cooked style(pork) was very dry and difficult to bite. Rice was ok. Beef tendon in chili oil was very good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211746032; Sentiment_Subjectivity (from 0 to 1): 0.605238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in for a weekday brunch - had the Eggs Norwegian and an Apple Frittata with bacon and gruyère. Everything was delicious and priced right (each dish was right around $10). Would definitely recommend, but not if you're looking for anything really light ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.317346939; Sentiment_Subjectivity (from 0 to 1): 0.610204082 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is so creative and simply amazing. I have friends who are not even remotely vegan and they love this place. I love mushrooms but stay away from anything mushroom here. It's gross. BUT, everythingggg else is delish. I just wish there was more seating.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.357142857; Sentiment_Subjectivity (from 0 to 1): 0.542857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dumplings: I suspect there might be a dumpling vampire somewhere because the last 2 times I came, my dumplings had been bled dry of the precious soup that makes them *soup* dumplings.  I lived in Shanghai for a summer and all the dumplings I had there were small and delicate, "ping-pong ball-esque" if you will, with just a bit of filling of filling and a TON of soup.  These, on the other hand, are larger, thicker skinned and big on meat - more "golf ball-esque".  Not bad, just not what I expected from THE soup dumpling place in NY.  They're also a little stingy with the vinegar.  I need a lot of vinegar and that little dish they brought out will not do...tisk tisk tisk. Other stuff: - Lion's Head (Stewed Pork Balls): YUM!  I guess I'm a sucker for meatballs.  These were fantastic.  Big, soft, and fluffy.  Definitely hit the spot.  Also made the other 7 people we shared the table with very jealous. (Definitely worth ordering for the jealousy factor alone -- ball envy.) - Some fried noodle dish: Yum. (no caps) - Veggies of the day: YUM (no exclamation mark) sauteed with garlic and magic. Administrative stuff: It looks like a high-end version of the standard hole-in-the-wall (HITW) Chinese joint but with a lot more tourists and the prices match the look.  Service is the standard sub-par service we have come to expect and love from said HITW restaurants. Worth a visit, not worth the wait on the regular.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.062565104; Sentiment_Subjectivity (from 0 to 1): 0.408914263 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know what I can add to the 780+ reviews, but to say in our 6 nights in New York, we ate there twice.  And right now, I wish I were in NYC so I could go there and eat some.  Oh, yeah, the hot sauce is really hot.  I mean, I like hot, but this sauce is really hot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.158511132; Sentiment_Subjectivity (from 0 to 1): 0.725394249 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch spots! I love how spinach and potatoes comes with my eggs and bacon! Plus I love the environment. Can't wait to go back =]; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.64 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I visited Alice's Arbor for dinner one Friday night with a lady friend a few months ago. This place is basically across the street from me, and I'd been wanting to try it since moving into the neighborhood. The server was super friendly, the ambience was badass (love the interior - pendant lighting is the tops), and the food was pretty good. My biggest gripe is that I felt like everything was a bit overpriced, especially the wine. I'm thinking I need to come back for brunch.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.244791667; Sentiment_Subjectivity (from 0 to 1): 0.558333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The take out was great. We ordered the mozzarella di bufala and chicken parm, both were delicious and the packaging for delivery worked well - the mozzarella/basil/tomato stayed in place.  Definitely will be ordering again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.8 [/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: LOVE Peaches! My friend lives a block away and Peaches is our go to spot. Brunch, lunch or dinner. The food was much better a couple years ago, but it's still good. The drinks are delicious though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.70625; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: looks like one of those crappy Chinese fast food places, but the food and value is actually incredible!  My boyfriend and I ate here, both go appetizers, mains and a drink and it was $32 WITH tip!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; 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: UPDATE!!!! I was contacted privately by management with an apology and an offer for me to try again as their guest.  Now I CAN rate the food as perfect.....brisket sliders, fries and a root beer just as I like them. Courteous attentive serve to boot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.758333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here while waiting for Misoya. Came here for a quick snack. Always wanted to stop by this location. We got a nice fresh cone of fries. The taste was divine. Hot, crunchy on the outside, soft and chewy on the inside. The sauces is what impresses me the most. No shortage of sauces to choose from. Next time need to come here and choose a different sauce. Friend chose a weird mayo sauce.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.158333333; Sentiment_Subjectivity (from 0 to 1): 0.535 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been here for brunch, lunch, and dinner.  Brunch is overrated - really not worth the wait; lunch and dinner was terrible; horrible service and food so salty.; Max_Daily_Reviews: 21; Sentiment_Polarity (from -1 to 1): -0.716666667; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really tasty food. The lamb roti potpie is a must if you like massaman, and my wife's duck pad thai was very tasty, with fried duck breast and a leg that was a fun twist and well prepared. Only complaint was that the service was a little bit slow. But we will definitely go back sometime.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.0109375; Sentiment_Subjectivity (from 0 to 1): 0.35 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: New to the area i had to go to the renowned spotted pig for the burger and shoe string fries. I arrived and was sat right away, however my waitress seemed more busy chatting up the bartender than serving me. I waited patiently with great anticipation. I was disappointed to find out that there was no other cheese substitute for blue in house. I hate blue cheese,but decided to trust the restaurant. The Fries where amazing and crispy, but the burger was borderline inedible being smothered in a pound of blue. I scraped as much off as i could however the residue remained. I definitely won't order the burger again and service could have been more attentive, but around me I saw tons of other dishes that will bring me back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.106087662; Sentiment_Subjectivity (from 0 to 1): 0.457792208 [/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: Meal was served super fast during busy hours. Staff is generally friendly but forgot a dish we ordered.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.252083333; 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: I'm very confused by the good reviews for this place. My BFF and I came here on a Tuesday night for some dinner and drinks. We were seated right away but at a small table that was a bit of a squeeze to get to. The waiter brought over the menus right away but took his time to take over drinks over. When he finally showed up, he expected we'd have our full order ready...um?? We ordered spring rolls which were just ok. I had the Pad Thai while she had Pad Sea Ew. Honestly, I didn't really like my dish and ended up leaving most of it. The BFF wasn't crazy about hers but was starving so she ate. What put me off most about this place was the lack of proper air conditioning. It's summer time. It's New York. It's hot. Turn on the air conditioning. Also, not sure why but one of the waiters had latex gloves on. He wore them the whole time we were there. At first we thought it was because he didn't want the spice from the food to get on his fingers but then realized his fingers should going be touching the plate - not the actual food. Unsolved mystery.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.160808737; Sentiment_Subjectivity (from 0 to 1): 0.548099829 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 - AWESOME! Got the PBLT and it was one of the best sandwiches I've had. Two others in my group loved their salad and sandwich as well. Brownies were delicious as well! Service - I think they're still working the kinks out.  Service was slow, they need to implement a better process for order taking and fulfillment. Took a while to get my order. They also have an order to someone else delaying food even longer, but they made up for it in some additional brownies. Cost - it's slightly pricey still though I can see why. You really get what you pay for. Sandwiches were a good size, delicious, and good quality. So, I can justify paying the prices, though not too often..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575757576; Sentiment_Subjectivity (from 0 to 1): 0.596969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 incredibly good I don't even have the words to write a decent review. My fiancé and I are still talking about this darn pizza from heaven, and we have been back home for over a week now. Seriously, we are planning another trip back to NYC (after an appropriate time of naked salads and cardio) just to partake in another pie. Everything about this pie was perfection, from the cheese to the sauce to the crust. My half: Shallots, hot peppers, basil and garlic. His half: Pepperoni, basil and garlic. I'm pretty sure he liked my half better but he said his was still the best pizza he has ever had. We also ordered a calzone to go with artichoke hearts. We ate it cold at the airport the next day dreaming about our return trip to Lucali's. Bring your own wine. Be prepared to fall in a deep love despite the wait. The wait is worth it.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.201515152; Sentiment_Subjectivity (from 0 to 1): 0.489646465 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here last night with a Gilt certificate and had a good time.  The food was tasty - the garlic shrimp was our favorite. Pros: good menu, nice selection of wines and friendly/helpful staff. We would go back and recommend to friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.544444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such a simple place, but I love it.  The rooftop deck is not much different than many other places, but what I love about this place is the vibe.  The bartenders are really cool and open to making whatever drinks you want as long as you know the ingredients.  They are also very accommodating and let a guy play his iphone through their speakers.   During my few hours there, the place was still decently packed when it started raining.  By the time the rain let up, the place was overflowing.  If you're lucky enough to get one of the cabana-like tables, it's going to be an amazing afternoon of day-drinking.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1734375; Sentiment_Subjectivity (from 0 to 1): 0.523883929 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not too shabby one bit! After being crowded out of Lillie's across the street, we crossed our fingers and came in for a bite for dinner in the early evening on Thursday. Both my dining companion and I enjoyed salads; she then had homemade pasta, and I, grilled chicken with herbs. Very fresh, flavorful ingredients, lovely service and pleasant ambiance. A sane, understated venue in a sea of over priced, over hyped eateries. We will definitely be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.231904762; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was only here for a weekend and wanted to try some good new York pizza. This didn't disappoint. The line seemed long but it moved fast enough. The crust has a really good flavor and the ingredients tasted very fresh. You won't be disappointed with this choice. Note that you don't come here for service. The servers did everything we asked but they were so busy running around that they didnt stop to ask how you were doing or refill your water unless you asked. We didn't mind.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.142636364; Sentiment_Subjectivity (from 0 to 1): 0.585454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a really small and cozy neighborhood spot.  It's basically a fish market that has a few seats and a bar.  Don't let the fish market part scare you away though- it's nothing but deliciously good smells here. Be prepared to wait.  They don't take resys and there are probably a total of 25 seats in the whole place.  Once you're seated, take your time.  There's literally 2 guys running the place so you'll have to be patient about getting menus, water, drinks and food.  This is really the main reason why this place doesn't get more stars... But anyway, the food is good here.  The sandwiches are really solid and remind me of going to your local fried seafood joint near a beach.  Their happy hour is great- it's $1 oysters and I even think there's a deal where you can get a dozen oysters and a beer for a very reasonable price.  The mussels are fresh..though on a few occasions I've gotten a few cold mussels on the edge of my bowl... Ambiance-wise, it's a bit noisy and the tables are really close to each other.  If you are sitting on the bench side and you have to go to the bathroom, forget it!  The tables are so close to each other that you have to pull the table completely out in order to get out.   Basically, if you're look for a place in the neighborhood to have a casual bite with good seafood, this is perfect for that.  It's nothing fancy, but the seafood is really fresh and very tasty.  So, deal with the wait and deal with the small space.  It's worth the meal.  If you want to be some place roomier, try Mermaid Inn.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.151513889; Sentiment_Subjectivity (from 0 to 1): 0.466 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: the food here is great but the service is typical chelsea/trendy rudeness.  the waitstaff is not the most friendly, but the mac and cheese and tomato basil soup keeps me coming back.  if you can get a good group and get a table downstairs, it's much nicer.  its not nearly as noisy, dimmer lighting, there's a bar downstairs, and you can hang out and enjoy food and drinks.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.306481481; Sentiment_Subjectivity (from 0 to 1): 0.438888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: going in, i knew that there would be a wait, so when the chance came to eat there pre-rush hour, meaning around 5:30, i grabbed it.  if you go before 6, the line isn't that bad.  maybe 30 mins at the most which really isn't too bad for ippudo.  another time, my friend got there first also around 5 and we only waited around 10-15 minutes maybe? the samuari pork chops are very tasty and almost fall off the bone. the pork buns are delicious, but not necessarily amazing.while the noodles are yummy, its really the broths that are very savory and is worth sitting there sipping one spoonful at a time.   in typical ramen shop style, the staff will welcome you with a boisterous shout when you enter and they are very polite and courteous.   in short, ippudo is pretty much everything i expected: long wait for a delicious meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.190151515; Sentiment_Subjectivity (from 0 to 1): 0.557575758 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ucla bar!!!! THE place to go when you wanna watch a bruin game. great place to meet fellow alumni and catch up with friends. drink specials during games, far above average bar food, and lots of large flat screen tvs -- all the necessary components of an exceptional sports bar. and they have the ability to open all three floors of their bar for game viewing depending on demand. be careful though. if you dare to wear cardinal red or gold in here on a game day, you best turn right around and go home before we kick you out.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.099479167; Sentiment_Subjectivity (from 0 to 1): 0.521205357 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 veggie tacos in Brooklyn that I've had. Super fresh radishes, cucs, lettuce, tomatoes, beans and cheese. Super inexpensive, too! Highly recommended.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.442; Sentiment_Subjectivity (from 0 to 1): 0.534666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found this place on Yelp as I usually do. Well for a small place everything could not have been better. To start with the hostess was as nice as they come..Very accommodating..my wife was pointing out empty seats which weren't and she kept her cool.That puts her better than me.We were seated without to much of a delay.Yes the are communal tables. Some people like that some do not...Either way that doesn't bother me ..sometimes I even like it.Now to the food.What canI say except AMAZING !The portions are big and the prices are small. We had  Jerk chicken,boy chou ,plantains and spicy slaw for $20.Also I tip my hat to our waiter who was so attentive and helpful I left 30%for the service.Now it's going to hard to find a better caribbean restaurant than this!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.173809524; Sentiment_Subjectivity (from 0 to 1): 0.47797619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rocks!  I love their outdoor area!  Can't wait for summer!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.78125; 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: Totto's makes a very nice bowl of Ramen, with rich broth, and perfectly done al-dente ramen noodles. They also have spicy or VERY spicy versions available as well. They didn't earn a 5 star rating with me because I've traveled enough and sampled enough ramen to know that it COULD be better. There was only one choice of noodle type, whereas top shops offer several choices. And the lines at Totto's which are usually anywhere from 30 minutes to 2 hours are ridiculous! However they serve up a very good bowl of ramen that is hot and satisfying, and the waitstaff are very pleasant. If you don't mind waiting, you will certainly get your money's worth and have a pleasant ramen meal. Very small place, few tables and they're small, don't go with a group of more than 4 people.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.278095238; Sentiment_Subjectivity (from 0 to 1): 0.603670635 [/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: My boyfriend and I rode across Atlantic for a nice dinner one weekend.  We were slightly taken aback by the large crowd, but we opted to sit at the bar and were seated shortly after we arrived.  My cucumber drink was yummy, our chips and salsa trio was delicious, and our array of tacos and quesadillas were very tasty.  My favorite taco was the avocado one-- so, so good! The night we went, the place was packed.  This location is definitely bigger than the last, and it has a full bar, yay!  The decor is beautifully decorated, very ornate, colorful and interesting to visually explore.   We'll be back for sure.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.333895503; Sentiment_Subjectivity (from 0 to 1): 0.500044092 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 usually quick to brush off anything Upper East or Upper West (except the Park and museums), so when invited up to see a girlfriend's new apartment on W. 72nd St, I didn't expect we'd dine anywhere memorable after.  But I was wrong!  Riposo really left an impression.  The service wasn't great (it wasn't bad--just not remarkable) but the wine and food were REALLY good.  We had the goat cheese flatbread with sea salt, citrus and rosemary.  The crust was light and airy, yet still soft and full of flavor.  And the toppings were SO flavorful and unique.  All the flatbreads on the menu sounded delicious, including the featured one of the day which the server described to us as we sat down.  I was pleasantly surprised by the size of the flatbread pizza--it was huge!  I also had an arugula salad that was on special--arugula with mushrooms, sea salt, carmelized onions and the restaurant's citrus vinaigrette dressing... I'm still fantasizing about how perfectly composed this salad was.  A perfect balance of all the ingredients and a huge serving!  Can't believe I'm saying this but that's a meal I'd travel back to W. 72nd. St. for.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.301779155; Sentiment_Subjectivity (from 0 to 1): 0.615610652 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the price range, which is $15-20 entrees and $10-15 pastas, this is as good as it gets in Manhattan. They do straightforward, traditional Italian food, and they consistently nail it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.265; Sentiment_Subjectivity (from 0 to 1): 0.395 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My bf and I love this place for brunch on weekends. It has a wonderful selection of crepes. I really like the one with figs, goat cheese and carmelized onions. My bf gets different options each time. They have great french pressed coffee as well as lattes. I also recommend the dessert crepes if you have room for it. Decor is cute and cozy.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.6125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worst service I've ever experienced in NYC. Went there for a birthday dinner. Server was very rude from beginning to end. However the server was not just rude to us I did see him being just as rude to another table nearby. The food was decent. Everyone ordered a little bit of everything. Nothing really stood out except their squid ink pasta and avocado truffle oil salad. There are tons of other average cozy Italian restaurants in that neighborhood so will not be returning.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.123819444; Sentiment_Subjectivity (from 0 to 1): 0.564305556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here about 2 years ago and it was really great. It is definitely in tourist central of Little Italy but it really did have quality Italian food and really did remind me of the food I ate when I was in Italy. I highly recommend the fried mozzerella ball and the gnocci in the vodka sauce. So yummy. Also the tiramisu was one of the best I have had in a while. Really great meal, nice servers, and good atmosphere. Yea its a bit pricey but hey, it is NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.356041667; Sentiment_Subjectivity (from 0 to 1): 0.465833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rocks! So good can try multiple empanadas the reggaeton and hawaiian one were sooo yummy! I have been here twice its good and they are quick. I also had the chocolate empanada which is so good for a late bite fresh and decadent!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.358333333; Sentiment_Subjectivity (from 0 to 1): 0.485714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 not far from here a place called Commodore exists. They have a hot sauce dipped chicken sandwich. The best nachos you'll ever have. And frozen alcoholic beverages that will light your liver on fire. But this is a review for Pies N Thighs. Why am I writing instead about the amazing sandwich at Commodore? Cuz it's all I could think about as I ate theirs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.192857143; Sentiment_Subjectivity (from 0 to 1): 0.742857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: yes! pricey for queens but worth it for a nice date or special occasion, or even just a mid week pick me up (forgive me, people who use their money wisely). the new salmon dish is awesome. it would be great if they had more veggie options but still...good stuff. AMAZING french fries. you will eat them all, so you might want to share. also the wait staff is really nice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466125541; Sentiment_Subjectivity (from 0 to 1): 0.597997835 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was at Freemans for brunch on a very early Saturday. The place opens at 10AM. We were seated by 10:10AM. After we sat down for 5 minutes, all of the tables around us began to fill up. When we left around 11:30AM, people were waiting for tables all the way out into the alley. My suggestion is to arrive before 10:15AM if you wish to be seated immediately for brunch. Otherwise, expect to wait. The food was okay and reasonably priced. I had the pancakes, but they failed to bring maple syrup or any kind of syrup for my pancakes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.110634921; Sentiment_Subjectivity (from 0 to 1): 0.425555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was awesome.  I had a grilled chicken with mango chutney on a chibatta roll.  So delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.983333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have always been a huge fan of noodles. And this place is absolutely one of my favorite noodle shops in the city. It's a like a hidden treasure. Came here with a friend for dinner around 6:30. The restaurant was not busy at all around this time. The wall is decorated with different shapes of bowls, which is very Sometimes I'm just tired of waiting in line for food in restaurants which has high yelp or zagat reviews. This place is perfect in that way. I got the Tom Yum noodle soup and my friend got Yien ta four(spicy tomato broth). The tom yum soup was savory and rich, with just a little bit of soup, shrimp, lettuce and mushroom. The other bowl has more ingredients (fried shrimp balls), and more soup too. Overall it was a great experience. Definitely my go-to places in the winter.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.20587963; Sentiment_Subjectivity (from 0 to 1): 0.580462963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just OK.  I was eager with anticipation to taste the fried chicken as I stood outside waiting for a seat while the wondrous scent of greasy fried goodness wafted my way (and stayed in my freshly washed hair/clothes for the remainder of the day). But when I finally got my chicken box order which came with three pieces of fried chicken, a behemoth of a biscuit and watermelon, I was severely disappointed. Besides my initial hype over the aesthetics of the dish (because it looked pretty darn amazing), the taste was just not up to par.  One of the main offenses was the lack of seasoning on the chicken.  I've watched my fair share of Hell's Kitchen, Chopped and Top Chef to know that when you cook anything you best add some darn salt & pepper to it.  C'mon it's one of the basics of Cooking 101. As a result, my chicken was tasteless and even the golden crispness could not salvage it.  The biscuit held much promise but suffered a similar fate as the chicken - dry and with no flavor (plus it was cold!).  Last but not least, the watermelon pieces in my watermelon, mint and jalapeno salad were bland as it is still relatively early in the summer and not yet at the peak of its season.   The service was polite enough but the food took such a painstakingly long time to get out, that this was negated somewhat.  The average 4 star rating for this establishment makes me approach my 3 star rating with apprehension but I feel it is the only way to accurately describe my experience here.  Perhaps I tried the wrong dish and need to revisit another time for their dessert selections, but otherwise I can't say that Pies 'N' Thighs is worth a boatload of calories and a day at the gym.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.032407407; Sentiment_Subjectivity (from 0 to 1): 0.612962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seriously the best Korean meal I've ever had!!! It's tucked away in a small street but oh my goodness!!! I was in love!! First of all, HOMEMADE TOFU! Like what!!!! I can't believe a restaurant still does that! The tofu was silky, however the texture of the tofu wasn't as smooth as packaged tofu was but tasted definitely better than that stuff you buy at markets. The bibimbap was delish! Becareful though the hot sauce does get pretty spicy! Oh my goodness: we ordered the tofu trio with kimchi tofu and pork belly and all of it as super delish! My favorite part of the whole meal was probably the trio. Soo soo delish; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3847897; Sentiment_Subjectivity (from 0 to 1): 0.601388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: loved it! great food and atmosphere.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.8375; Sentiment_Subjectivity (from 0 to 1): 0.775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best hole-in-the-wall restaurants I've ventured into.... ever!  My first experience with authentic Malaysian cuisine and I'm hooked.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.583333333; Sentiment_Subjectivity (from 0 to 1): 0.461111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gotta say this place was just OK. Bacon was overcooked and a little tough to my liking. I prefer my bacon crispy and thin, the cuts here had a toughness to it that was not that appealing. The burger came overcooked (i ordered medium rare) and that was kind of the last straw. A nice concept, who doesnt love bacon, but the execution just wasnt there.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.202361111; 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: A wonderful, original add to the NY restaurant scene that has done a great job of bringing a new type of cuisine to West Village in an elegant and interesting way. Everyone raves about Simon on these reviews for good reason. He is the watchful manager over the sometimes mistake-prone waiters and servers (nothing major) and keeps an eye on all the guests to make sure their needs are being met. The food is very original with slight Korean flavors added to a generally Italian palate. The wine list is a good start for a new restaurant but could certainly use some bulking up. It should be interesting to see how the menu evolves. Do try it before reservations become impossible.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.339922333; Sentiment_Subjectivity (from 0 to 1): 0.630063237 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a Tuesday night around 7pm. Our table of 2 was seated in about 30 min. Delicious food in a convenient location. It looks like a little restaurant from the front, but when you walk in, it's a beautifully decorated, open layout. We sat on the second floor and our waitress was very attentive and helpful! She recommended dishes from each section for us. We ordered the sake tasting, which my fiance loved, the homemade tofu, which was great!! and the skewers were amazing! I wish I just ordered a multitude of skewers! I definitely recommend the two skewers I got, the chicken meatball and sweet sauce and the pork belly and tomato. We also ordered two entrees, which was actually too much food for me. I ordered the strips of beef (very delicious as well, but I was just too full to finish) and my fiance ordered the grilled saba (mackerel). My fiance was raving about the mackerel. He said he doesn't usually like mackerel, but looved his entreee! The set comes with miso soup, egg custard (smooth and delicious) and rice! I definitely recommend ordering sets! it's only a few dollars more and you get sooo many extras! Enjoy!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3505; Sentiment_Subjectivity (from 0 to 1): 0.61 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ordered food from them the other evening and not only was it as good as it was the night we dined at the restaurant, it was at my apartment within 20 minutes and I live 6 blocks away. Continuing to amaze me!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.210333807; Sentiment_Subjectivity (from 0 to 1): 0.61875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 BBQ in NYC! I've tried Hill Country, Dinosaur and Fette Sau and was disappointed each and every time. But Mighty Quinn's meats are perfect! The brisket is sooo moist and flavorful. The brisket at Hill Country is dry dry dry and they even try to get you to pay more for the juicy parts! Not the case here... The juicy brisket paired with their pickled veggies and cole slaw is pure heaven and I'm not even a huge fan of red meat! After having MQ's spare ribs, I finally understand the meaning of "fall off the bone tender." And they have a spacious and clean bathroom!!!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.261956273; Sentiment_Subjectivity (from 0 to 1): 0.642307692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service. however, I would not list it under the seafood category.  they deo have seafood, but no more variety than a normal restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything has already been said. Just go there early and try it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.125; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've never written a review here but my experience here provoked me to write one.  Let me start with the service. I made a reservation thru open table for 3 persons at 8:15pm. We got to the restaurant at 8:10pm and the receptionist told us that our table is 'not quite ready' yet. So we sat in the waiting area while seeing 3 vacant tables. We waited for 20 minutes and repeatedly asked the receptionist if she can give us a table already. She finally gave us a table. We ordered Sisig, Crispy Pata, Mussels, Halo-halo and Vietnamese coffee. I was born and raised in the Philippines so I know how Filipino food should taste like. It is understandable that the food was going to be fusionized and altered in order to cater to customers that have never tried authentic Filipino/Thai food. The Sisig is the better one among everything else. But it was missing a lot of ingredients and was full of fats instead of pig organs. The Crispy Pata, that did not taste like Crispy Pata, came when we were almost done with the meal. The Mussels were okay because it had coconut spiced sauce. Then, the Halo-halo came. Since people here in yelp said that it was really good, we ordered it to make ourselves feel better about the bad entrees. However, the Halo-halo was like cereal(rice crispies) in milk topped with shaved ice, 10 pieces of coconut strips and old and hard cubes of banana, topped with ube ice cream. Halo-halo means "mix-mix". I guess they were mixing crappy disgusting ingredients. And we heard that several suggestions were already addressed by customers in order to improve the quality and the taste of the food. This place is fooling a lot of white people. I'll be surprised if it lasts another year (unless changes are gonna be made).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.074019608; Sentiment_Subjectivity (from 0 to 1): 0.515196078 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brunch is awesome! Try the breakfast bowls or 3 Egg Scramble! Also, the coffee keeps on flowing by helpful friendly people. And they say "Thank you"! Refreshing for a place in Williamsburg.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65625; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food! I like french toast in moderation but there were so many good reviews so we decoded to get it as an appetizer. Let me tell you...it's a mist! Amazing vanilla bean french toast. Gnocchi is good too but a little garlicky so don't eat it on a date. MAKE RESERVATIONS for brunch on Sunday or you will be waiting over an hour. If you order a brunch item you also get to choose from a few drinks as complimentary!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.36625; Sentiment_Subjectivity (from 0 to 1): 0.445 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Busy and loud for dinner, slightly less so for lunch.   Competent and affable service with a typical upscale pub menu.   Recently stopped in for lunch and were promptly attended to at the bar.  A slight mixup on my dining companion's order was attended to with surprising humility and promptness, so points for that.  All in all a reliable bet.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.188888889; Sentiment_Subjectivity (from 0 to 1): 0.472222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stares at screen.  Doesn't know what to say.  Wants to say something Important, wants to make a sign with his hands and emote expressively with his face and eyebrows but that would be of no benefit to the rest for as they're there and he's here. I was sick as a dog it seemed with an ailment that had no accompanying fever so fear not fellow diners.  It was damp out.  I was still hung over from the Yelp event the evening before. She took me here because she had made a list.  I hallucinated on the stairs for only a little while it seemed before they called her name to make our order and but maybe a short moment later we were inside the small space at a two-top and then boom there was what we had asked for outside.  I had the spicy ramen.  She had something else that she'll describe herself for the part of me that remembers was not present that evening. I am not well qualified to review ramen.  I am a ramen baby.  But JZ helped with Tampopo and I've been getting around some and I can testify without hesitation that this is good stuff, in a good space, a cure for what ails you and, apparently, a place to meet your heart's desire (per Kevin).  I brought mine along so I can report only on the food aspect of the broader experience. We were late and the wait was not unreasonable.  The milieu was well behaved and respectful of the neighbors above.  Some just from the theater, others before what was going to come next, all ages, colors, persuasions.  Interestingly, all so physically fit and trim.  But that was the NYC experience in general so not unusual.  Keep it up, NY.  So beautiful. How to sum this up for you ... Next time in NYC there's no question that I'll return.  I'm tempted to say that I'd come just for Totto but that would be stretching things a bit but not by that much.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148082011; Sentiment_Subjectivity (from 0 to 1): 0.476190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic. Service, food, atmosphere and wine recommendations from Richard were wonderful - thank you Ann Marie!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; 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: Keeping this one simple. Hands down the most authenitic and delicious Spanish food in the city. The tapas are great. The best thing here is a pork special that is unbelievable, it comes with a frisee salad and a really good green sauce.  Yum. No reservations so you may have to wait and the bar is small, but definitely worth the wait.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.292429792; Sentiment_Subjectivity (from 0 to 1): 0.474420024 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 small. The owner really needs to add a waiting list or hand out numbered tickets. When I got there, I felt like I had to protect my spot on the line because it was all self regulated. The food was alright and is not expensive at all. I waited about 20 mins for a table for four people. I probably won't come back here again but it was a good experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.18; Sentiment_Subjectivity (from 0 to 1): 0.38 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just a quick update to say that Mister Hotpot is still the bomb!  We've become regulars here and the place is always fantastic. For reviews that say they spend a fortune for two people, I don't know what they order!  It's like ordering the lobster and complaining that it's expensive!  The broth is about $20, which can even be split with 4 people.  And the menu items range in price.  There are some pricey items, like any menu, but most are reasonable and the portions are really generous.  We usually spend about $40 for two people, getting a couple veggies, tofu, meat, noodles and a couple other items... and we leave feeling STUFFED!  With more people, it gets cheaper, since you don't buy more broth unless you have a bunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.178541667; Sentiment_Subjectivity (from 0 to 1): 0.5025 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 date night for my husband and I, so we go for a romantic dinner at Minetta Tavern sans reservations, in hopes of sitting at the bar early. Well, my hubby does better than just get a few bar seats - him and the Maitre D', Armand, become friendly, and we get offered a table. The place itself is tiny, but has a grand old-world charm that Keith McNally is famous for recreating in his restaurants. Already, Minetta has made us feel welcome and comfortable to be there even before trying the food, and as I silently sit there planning our next return, Alexander orders us the famous Bone Marrow appetizer to share, the Black Label Burger for him, and the Pied De Porc Pané (pig's trotter that I was cheated out of at The Breslin, hehe.) Oh, my, that bone marrow dish has got to be one of the best in New York, no - America, no - the world! I do not exaggerate, friends, you know me. What is special about it's preparation is that the bone is cut in 2 parallel halves, instead of perpendicular roundels, which is an easier to spoon the delicious, melting marrow onto bread. The size of this chunk of bone is a little intimidating, but plenty worth it,  and that was just a $15 appetizer. Yes, the famous Black Label burger was perfection, cooked medium rare on the inside, and crispy charred on the outside. (Nick Solares at Serious Eats discusses what makes this burger one of the best in New York, no - the country, no - the world! Google the article if you'd like to know!) The pig's trotter was very good also - perfectly fatty without being too greasy, crisp on the outside and gooey on the inside, with compliments of lentils and dijon additionally spread across the dish (very reminiscent of The Breslin's Sweetbreads and Lentils.) We had a fabulous dinner, made even more special for my interest in people watching, which was a treat at Minetta: a young couple on their first date (she was wearing a red satin dress, him - a suit, and they ordered bone marrow & a gigantic steak to share that she mostly poked with her fork), an old Russian man on a first date (he ordered everything for her, she pouted and ate, and then he flirted with the waitress when she stepped off to powder her nose), a mother taking her young daughter for a special and memorable birthday dinner (everyone clapped when the dessert came out, aw!) There were also suits, sweatshirts, and furs galore, and you know what - everyone was comfortable in their element. That is an atmosphere almost impossible to recreate, and that certainly makes Minetta Tavern a very, very special place. I give it 4 starts out of 5 only because it's a little ridiculous how unaccessible the restaurant is for the general public. Calling a month in advance for a reservation is not my cup of tea, and we were very lucky to get a table without one. I guess it is the curse of living in Manhattan - the restaurant becomes unattainable once it is discovered by the "right people" (celebs, bloggers, critics...) This is definitely a place to go to, at least once, if you live or visit New York!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.207011834; Sentiment_Subjectivity (from 0 to 1): 0.525266482 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cart has really excellent dosas. We had the masala and it was absolutely delicious. The samosa was filled with soft curried potatoes and fried to perfection. A huge lunch cost around $10. I would definitely come back when the weather  is better to have lunch outside. Make sure you're not in a hurry. If the line is more than 5 people deep, expect to wait at least 20min. He makes the dosas one at a time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.315384615; Sentiment_Subjectivity (from 0 to 1): 0.568376068 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The place is hit or miss in terms of happeningness. I like the setup. A nice date spot - they have many tables for two. Also not a bad spot to grab drinks with friends - they have a pretty big table booth like spot that can sit larger parties. Good service. Good drinks. No complaints. Okay place all around.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.607407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The pizza at Lombardi's was overrated. I expected a lot more from the first pizzeria in the United States. I liked the crust, but I didn't enjoy the watery tomato sauce. The wait was actually not too bad, but I'm wondering if it's because there was a huge snow storm outside!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.472222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place already. Great food, great service, amazing view, fantastic decor and interior environment. Came here for dinner on a Sunday night. The place has a rustic, neighborhood feel that fits perfectly within the West Vill. Took advantage of the free glass of wine with check-in (hat tip to yelp). I went with the Malbec, but both that and the Cab were solid red wine choices. Dinner consisted of the following: Seared Scallops appetizer - perfectly seared, delicious celery root puree and great ginger basil oil. Mac & Cheese - More like penne and cheese, but great flavors and the perfect amount/use of truffle oil. Would like to see a little baked/crust element, but still very satisfying. The Burger - perfectly cooked and inventively crafted. Fries could be a bit crispier but fries are fries. Additional drinks: The Discretion: Bourbon based with basil, green chartreuse and some other yum. The Party: Vodka based, lots of basil and fresh herbs. Also yum. One last thing to add - Dana the VP of operations is great. Super personable, outgoing and inviting. Highly recommend this place for you and everyone you know.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.475216049; Sentiment_Subjectivity (from 0 to 1): 0.651790123 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ramen was good and dessert. there is no longer reservations. the waiting time is 3 hours.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've only had take-out here BUT...great flavors, filling food and definitely reasonable prices. Falafel is great. Recommend; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great restaurant.  Lobster pot pie, duck meat loaf, chicken and waffles here are all amazing, but the best dish is the free dish - the pop overs are outrageous here.  I can eat those all day.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For the life of me, I can't understand why in the hell it took me this long to write about my beloved Buttermilk Channel.  You know a spot is the bomb when you go three times in a 2 week span, the servers know your name and you get a complimentary snack plate!! My sole mission is to try everything on the menu and then start over again. I'm going to start off talking about the music.  Especially the brunch music.  90's R&B and hip hop? Yeah, I'm alllllllll the way in on that one.  The brunch menu is good, but the dinner has been my favorite by far.  I love how the menu sublty changes with the seasons.  So far, I've had chicken and waffles, duck meatloaf, hake, grilled flatbread (OMG to die for), warm lamb and romaine salad, barbecued oyster (so spoiled off of this), caputo's linguini, the bramble (with and without alcohol).  Next stop: charcuterie. The service is great.  Everybody is chill and laid back, no uniform required here.  Polly is an absolute angel, serving celebrity treatment at all times.   I've even sat outside, brought my dog here and they gave her water!!  Not much people watching this side of town but who wants to watch people when you can watch all this good food!! Buttermilk Channel, I really and truly love you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.264488636; Sentiment_Subjectivity (from 0 to 1): 0.559090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had good, authentic ramen before, but I never thought it could taste this good. Minca has truly mastered the art of ramen which is a triad of perfection between taste, substance, and proportion. I know a lot of people who "like ramen but don't drink the soup." That kind of person ceases to exist at Minca. They make each bowl of ramen then and there, carefully preparing the entire dish. Flavoring, soup, half a stewed egg, twice slices of (SUPER DELICIOUS) pork, vegetables, noodles cooked on the spot, and lastly a sheet of seaweed. Every step is necessary and not one element is overdone. I wish I lived closer to here but that distance definitely hasn't stopped me from eating here as often as I have.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.297222222; Sentiment_Subjectivity (from 0 to 1): 0.65625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What everyone says about the burgers are true... They're TASTY and HUGE! What more can someone ask for? It's a simple, cozy and local pub. If I'm in the area, I'll definitely drop by for a burger and a Guinness. Yum.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164285714; Sentiment_Subjectivity (from 0 to 1): 0.52244898 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quiet, small, affordable and has good sandwiches.  Also, you can order breakfast anytime!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.208333333; Sentiment_Subjectivity (from 0 to 1): 0.444444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really good italian restaurant and value oriented.  Prices are great for the quality, portions a bit on the smaller side but very very good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.482; Sentiment_Subjectivity (from 0 to 1): 0.526 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 amazing. they have everything you can ask for and MORE. I love having a billion drinks to choose from, not just the ordinary snapple or bottled water. they have exotic drinks you can't just get in your regular deli!!! I get a different drink everyday. the staff is great. they give excellent customer service and super fast with everything. the interior is also bright and spacious...a great escape from the busy grey streets of the city. you feel like you walk into a clean bubble of goodness. I highly recommend this place for breakfast or lunch. I LOVE IT...makes me not want to go back to work....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.328; Sentiment_Subjectivity (from 0 to 1): 0.579179487 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 order from Tuk Tuk at least once a week--not only because it's so convenient from our building but also because food tastes really good! Yes, I've had better Thai foods and yes, I probably won't order from Tuk Tuk as much if it wasn't so close to our home--but still, it's one of the better places in LIC. I totally recommend: their Pad-See-Ew! It is delicious!! As well as Basil Fried Rice, Pad-Kee-Mao, Grilled Lemongrass Beef Noodle Salad, and Pad-Gra-Prow. Their Thai Iced Tea is really cheap ($2.50) and the portion is excellent compared to MANY Thai places in the area. Definitely get it! I DO NOT recommend getting Pad-Thai from Tuk Tuk as it is really not that good. It's been really hard to find a good Pad-Thai place in NYC minus Thai Market in UWS. OH, and they do have Monday-Friday lunch specials ($8) although this is one of the few Thai places where they don't come with an appetizer and their lunch specials don't extend throughout the weekend. They do give either a soup (winter) or salad (summer) with their lunch entrees but still not the same, sigh. Life would've been very difficult without Tuk Tuk being so close to us---thank goodness! Definitely try it out! Side Note: They'll have your food ready in 10 minutes if you are getting them to-go. Very convenient! Price: $-$$; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.230034722; Sentiment_Subjectivity (from 0 to 1): 0.550694444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quaint little spot in Brooklyn. A Jewish place that offers a bunch of stuff, from brunch to lunch dinner to late evenings of  a wine bar and organic dishes. My dish and I was happy about it was the Eggs Benedict but I opted for bacon instead of Canadian bacon. My mixed baby green salad was really tasty. Probably a neighborhood gem.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0515625; Sentiment_Subjectivity (from 0 to 1): 0.35625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: delicious & healthy multi-ethnic comfort food and awesome folks running it to boot. such a great addition to church ave; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.66; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Song is fabulous, even better than the original Joya. The place is bigger and more convenient to people in the slope. I highly recommend the mango martini and spicy noodles. Amazing. The food is unlike any other Thai place in the city. They are so speedy with the food and you can see the cooks working their magic in the kitchen. Watch out, no credit cards accepted!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.337222222; Sentiment_Subjectivity (from 0 to 1): 0.673888889 [/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: What an amazing meal -- this was definitely on my foodie bucket list and I am so happy we were able to make it happen! It definitely is a challenge to get through to make a resy but it is well worth it so don't give up! We had a 10pm resy on a Friday and we were lucky enough to score the seats at the end by the kitchen. It was awesome to watch the chefs at work and also speak to Chef Ramirez. He designed the kitchen himself and it shows how passion he has for his work. He has a new restaurant to be located in manhattan in the works (not a chef's table) and we look forward to checking out the food there too! All 20+ courses were delicious in different ways and I love how everything is one bite or small portions. Yes, most of it is seafood (raw and cooked) but there are other proteins as well. The food is the star but the cutlery and dishes were works of art as well. Don't think about the cost - go and and just savor every bite! it's worth every penny... Don't be afraid to ask questions either -- Chef Ramirez and the staff are happy to explain everything to you!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.298338432; Sentiment_Subjectivity (from 0 to 1): 0.617470862 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was very excited to go to this restaurant, but was very disappointed when I left. It was horrible. Everything tasted awful. First they served us the appetizers and a few minutes later they started to bring out the main dishes. Everyone received their main dishes at different times. It was so weird how every five to ten minutes one person was getting their meal. I know we were a party of 13 but get it together. The salad's did not have dressing on it. We kept asking for the dressing and just totally stopped because we basically gave up. Some of the main dishes came out cold. And some skirt steak orders were under cooked. What was hilarious? My cousin ordered steak with a fried egg on top. The waiter brings her a single fried egg on a plate. Lol. What happened to the steak?  Lol. Overall it was a horrible experience. The waiter was nice I am sure it wasn't his fault. Obviously he isn't the one in the kitchen. Never going back there again. Would rather drive out to Northern blvd in queens and eat columbian food there. Sorry. I know I sound harsh. But it was the worst restaurant experience I have ever had; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.055126728; Sentiment_Subjectivity (from 0 to 1): 0.591500256 [/INST] Spam</s>