Datasets:

syannn

/

spammer

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: Great fried rice and wonton soup. If you want some soup or noodle dishes, this is a great choice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; 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: Amazing spare rib dish with noodles, bacon, onions, carrots, and a delicious sauce.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; 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: Amazing Prime Rib sandwhich with a fried egg and hollandaise on brioche. Good eggs, potatoes. Very nice baguette and pear buckwheat bread. Some other items were not so great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.551; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing flavors throughout all the dishes we tried.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great value for lunch specials. $7 includes tea, soup, and an entree. The food was good, and the decor was nice for this price point.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; 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 Thai food at a very reasonable price! I had some chicken with vegetables in a ginger sauce that was perfect. The Pad See Ewe was also good, although we might order it without the brocolli next time if they let us. The environment is load, as they have up-tempo energetic music playing, although there were not very many people there on the sunday afternoon when we visited. Dishes were about $7-$8 each. With water to drink, we spent about $10/person.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.270299145; Sentiment_Subjectivity (from 0 to 1): 0.562735043 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Carnitas Tacos and some cheese fondue with tortillas. The decor is pretty good in this newly opened place, with nice gentle mood lighting in the evenings.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.447727273; Sentiment_Subjectivity (from 0 to 1): 0.767424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 steak wraps, and live Irish music on Mondays in the back room.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.234090909; Sentiment_Subjectivity (from 0 to 1): 0.3125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had a superb 7-course 2.5 hour chefs tasting menu here for my birthday. We loved the 7 large courses and other smaller accompaniments. They were turning away people all evening, and we barely got in for the first round of seating even though we were in line prior to opening.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.209920635; Sentiment_Subjectivity (from 0 to 1): 0.437433862 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lunch here is great. I always look forward to the lamb sandwich which is incredible. Unfortunately we just got back from dinner here and it was abysmal. Everyone raves about the eggplant dip and rightly so. It was the  highlight of the meal. The octopus was absolutely disgusting. I knew we made a mistake the moment the plate was put in front of us. Totally unappetizing presentation and I truly almost gagged as I bit into it. It tasted and smelled like cat food. I love octopus. This was an abomination. We left and grabbed some ice cream around the corner just to get rid of the taste in our mouths. Seriously what are they thinking with that dish??; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.014761905; Sentiment_Subjectivity (from 0 to 1): 0.645238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First of all, we want to say that Tobys still has delicious pies! We especially love the spinach ricotta. The last couple times we have gotten them to go however the person who rung up the order was very vocal about requiring a tip. Our two pizzas came to $31, we gave her $40 and she said "you don't want any change, right?" When we said that we did she only gave us $5 back!! how presumptuous!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.341964286; Sentiment_Subjectivity (from 0 to 1): 0.529464286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: exquisite food from start to finish. the tasting menu is the only way to go. $55 gets you 4 delicious courses. add a bottle of sake and you will be in heaven. the wagyu burgers are scrumptious and the sake panna cotta is out of this world. ambiance is very nice and relaxing. i wish there were more places like this!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.681; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We walked halfway across Manhattan for this restaurant and I wish we had stayed at home.  It was decent food, but it seemed I could get the same from a corner deli.  The flavors seemed bland and the menu cryptic about actual ingredients in the salads.  I will give kudos for pleasant wine and attentive, but not overbearing service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.188888889; Sentiment_Subjectivity (from 0 to 1): 0.598611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dishes here merit four stars, but the food is uneven. The roast chicken entree I had was terrible. Even the dark meat was dry. The breast was so dry that it took two glasses of water to get it down. I know it's only one dish, but plain chicken is really a good test of a kitchen's quality. It's easy to make a bad one because you don't have anything to hide behind -- and this kitchen failed on it. The prices are indeed low by the standards of quality restaurants in NYC, but they achieve those prices by skimping on expensive ingredients like meat and substituting large quantities of rice, potatoes and other starches to fill you up. If you like starches more than meat -- like most of the women I eat with -- that will be fine with you and you'll happily pocket the savings. If you're a meat lover, it's false economy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.044555556; Sentiment_Subjectivity (from 0 to 1): 0.585984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The pizza is great, but it's not worth the hassle or the price. I don't understand why so many New Yorkers are willing to endure so much punishment to eat at popular places. There are so many good places where you can sit down whenever, why would anyone regularly wait more than an hour for food? Assuming, however, that you can come at a truly off hour -- right after it opens, early in the week -- you'll find the pizza here really is quite good. I'm not sure it's good enough to justify the price, though. A pizza with one topping should cost $15, tops. At Lucali, it will set you back $30 and the pie is light enough that an adult man can easily finish a whole one. I'm willing to pay a bit more for top quality, but it's crazy to pay double, particularly give that there are a lot of places in this city that use top quality ingredients on their pizzas. Lucali is better -- but enough better to turn pizza from a value meal to a reasonably expensive one.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.237958955; Sentiment_Subjectivity (from 0 to 1): 0.490600757 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very charming spot with delightful servers. The Artichoke Chicken Salad ($11.50) was very hearty and was enough to feed two. Kudos to the young barista who prepared my Frappe. Perfection.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.268333333; Sentiment_Subjectivity (from 0 to 1): 0.691666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 yummy! But slightly crowded.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.166666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had the greek salad - it was good.  My only complaint was the price.  $9.25 for a small to go salad.  it has the most feta I've ever had in a salad, the dressing was great, the seeds were taken out of the cucumbers, the were just the right amount of red onions, but it felt more like a side than a lunch entree.  Maybe I'm just not used to NYC prices yet.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.223571429; Sentiment_Subjectivity (from 0 to 1): 0.448571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for lunch with my coworkers.  All of the reviews said the sandwiches were great, but I opted for a savoury pie instead.  I'm glad the pie came with a Greek salad, which was both authentic and delicious.  The four cheese pie was a bit dry and not quite as savoury as advertised, but still filling.  I'd likely come back here and get a sandwich next time.  Also, we spotted a celebrity here and that was pretty cool.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.303030303; Sentiment_Subjectivity (from 0 to 1): 0.613636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 finished up brunch here with the BF and a friend.  For the hype that The Smith gets, I can't say that I was overly impressed, but it was solid, middle-of-the-road meal that left me satisfied. After waiting for just 10 minutes, I sat down and looked at the large, tabloid-style menu.  With so many options, I could have easily put away the Country Breakfast or went for the famed mac 'n' cheese (which, btw, if you're just getting mac 'n' cheese, 'Smac is right down the street), but I played it safe and went for the Burger Deluxe.  On paper, the dish seems downright daunting for a burger: covered with cheese, bacon, "the works" and a special sauce.  I almost asked the waitress to get it without so much added stuff, but was pleasantly surprised how well everything balanced out in the end (although, a little too much white onion).  Also, the burger tasted really good: it's what an ideal pub burger should taste like. Aside from the dirty glass that was at my place setting when I sat down, The Smith was packed with young twenty-somethings and a few thirty-somethings and even the occasional family.  This place, for the most part, gets a lot of the NYU and post-grad crowd given its location and clientele.  Overall, I'd likely come back again, maybe get the mac 'n' cheese, but I'd love to see this place with half as many people milling around waiting for a table (likely will never happen).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.195926339; Sentiment_Subjectivity (from 0 to 1): 0.488355655 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 got back from brunch with the BF and one of our friends.  I heard about this place through the friend, that there is always a wait, and that they serve what is arguably the best brunch in New York.  Best brunch in a city of over 3,000 restaurants is a very daunting claim, but Clinton St. Baking Company makes one hell of an effort.  From its cutesy, cozy feel to food that actually stands up to its reputation, this Lower East Side joint should not be missed. After waiting for about half an hour or so, we got seated against the wall.  Novices should definitely get the pancakes: three buttermilk cakes (emphasis on the butter) filled with either blueberries, bananas and walnuts, or chocolate chips, and served with a sinfully silky maple butter that makes syrup obsolete.  However, our friend recommended that we split two dishes: one sweet and one savory, to get a true tour of the menu.  So in addition to the blueberry pancakes, we shared the Southern Breakfast: two eggs with fried green tomatoes (yum), cheese grits (double yum) and sugar-cured bacon (triple yum).  I've never had bacon like this before, and it was a great complement to the breakfast platter, as well as the pancakes. Aside from the small, wobbly table that made eating the food a bit tricky, I had no other complaints about the meal or the service, and the food itself is able to carry Clinton Street to get 5 stars despite a few small flaws.  Two other bits of advice: do not come here with groups larger than four (you will not get seated), and come early.  We showed up at 9:30 and there was already a 45 minute wait.  But unlike most places where I have been waiting and waiting and waiting for good food (looking at you, Daikokuya in Los Angeles), this was worth every minute standing in line. And bring cash.  Credit cards are not accepted except during dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.18545174; Sentiment_Subjectivity (from 0 to 1): 0.385044893 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 BF and I came here this past Saturday morning with another couple for brunch.  We had made a reservation so we didn't have to wait in line, and we even got to sit outside on the terrace!  This upscale Upper West Side eatery not only serves up fresh, good tasting brunch staples in an elegant atmosphere, but features good services and opportunities for plenty of people watching. I did have a hard time figuring out what I wanted to eat, considering that most of the options, as other reviewers have noted, are egg-centric (not meant to be a pun), featuring lots of omelets and benedicts.  I did end up opting for the Smoked Salmon Scrambled Eggs with egg whites.  Usually at places like this, I don't expect a lot of food, but I was pleasantly surprised with how much food came on the plate. A heaping pile of egg whites, cream cheese, and smoked salmon nestled between home fries and a slice of melon.  It was so good: the eggs were fluffy and savory, the home fries not too greasy, and the melon refreshing.  Everyone else also enjoyed their food and seemed to be having a good time. The service was good but did feature a small hiccup when we asked for coffee refills that never came.  Otherwise, servers were attentive and on point.  I also found it a little weird that to get to two of the bathrooms, one must make their way, essentially, through the exit end of the kitchen, but I guess that's what happens when restaurant space is at a premium.  Finally, I'll note that during our time there we did happen to see an A-list celebrity on a hit TV show, which did make our visit just a little more special. Overall, the food was good and the prices for brunch, although a bit higher than what I'm normally accustomed to paying, are fair considering the amount and quality of food one gets here.  I would definitely return for more.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.20598545; Sentiment_Subjectivity (from 0 to 1): 0.555224868 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 keeping this review short and sweet because Ladurée should be judged in two parts:  The macarons and the experience. Macarons: like nothing you have ever tasted in your life.  Probably the perfect dessert: a delicate, well balanced mix of cookie and ganache.  Sweet without being saccharine, and nothing but fresh flavor.  The Rose Petal, Vanilla, and Caramel with Salted Butter flavors were heavenly. The Experience: We waited between 30-40 minutes (which isn't that bad, compared to others experiences'), but I feel like Ladurée sort of puts on a show with its whole interior, schtick, and protocol.  They're the best macarons, so why all this unnecessary pomp and circumstance?  Also, each one is just shy of $3 and it's roughly twice the size of a silver dollar (but to be fair, each macaron is made in Paris and flown to the USA to be sold.  Looks like they're covering their bottom line and the pricey Madison Avenue rent). Overall, I'm glad this Parisian classic is now available stateside.  If you have the patience and the cash, Ladurée is worth the wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.203508772; Sentiment_Subjectivity (from 0 to 1): 0.562280702 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here with a friend on his recommendation that this was THE best ramen place in the East Village.  Inside this well-lit, spacious-for-a-ramen-joint interior is probably one of the best bowls of ramen I've ever had in this city.  While the restaurant can get a little hot and crowded at full capacity, the food is definitely worth it.   The broth is savory and salty with hints of pork and soy, the noodles are cooked to perfection, and the vegetables and stewed egg add great texture and flavor to the soup.  However it is the two slices of pork that really bring the ramen together.  Not only is the pork incredibly tender and soft, but the ratio of fat to meat is perfect.  It melts in your mouth and leaves you wanting more.  Definitely one of the tastier ramens in the city. The service is also very fast.  Not even three minutes after my friend and I ordered we had our hot steaming bowls of ramen in front of us, allowing most of the meal to be spent savoring the soup instead of waiting around for food.  I'm not so sure I would travel across town to get here, but if I'm ever in the neighborhood and in the mood for ramen, I would definitely go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.381125; Sentiment_Subjectivity (from 0 to 1): 0.570944444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for brunch with a college friend.  We were searching for an off-the-beaten path brunch place in the West Village and stumbled across this neighborhood gem.  It's probably one of the better brunches I've had in the long time, and while you may feel like you're sitting on top of everyone inside or outside, the food is worth it and the service is outstanding. I had the Eggs Norwegian, a variation of Eggs Benedict with smoked salmon in place of canadian bacon. Not only was the plate itself beautiful, but the food was cooked to absolute perfection.  The eggs struck the perfect balance between being runny enough to ooze all over the salmon and english muffin, but firm enough to maintain their shape when cut.  The home fries were also among the best I've ever had: perfectly seasoned and could stand on their own.  My only complaint was perhaps there were too many home fries on the plate, I could have done without them.  My friend's dish, the Croque Madame, was also exceptional. But overall, the whole experience felt terrific.  Brunch comes with complimentary juice coffee, or tea, and the waiter/host could not have been nicer.  Best of all, although there was a wait, it was minimal.  I would definitely come back again next time I'm in town.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.248924731; Sentiment_Subjectivity (from 0 to 1): 0.492741935 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 probably one of the best kept secrets in the West Village.  Came here on a recommendation from a good friend and went to lunch with my co-workers.  Everything from the atmosphere to the food to the value and service was terrific.  For just $8 you get a salad, appetizer, and entree.  Everything was not only delicious, but plated very nicely as well.  Furthermore, the make-your-own thai iced tea was a great complement to the meal.  I'm not sure how they do dinner but for a lunch spot it's almost unbeatable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.50375; Sentiment_Subjectivity (from 0 to 1): 0.817361111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I got a tip about DiFara from a foodie friend of mine who has been raving about the amazing pizza.  After some deliberation, the BF and I decided that we would go forth and venture to the famed pizzeria.  After hiking down from Manhattan to this hole-in-the-wall joint on Avenue J, we realized how lucky we were that we had literally nothing else to do all day.   DiFara requires a serious time investment; the shop had only been open for 20 minutes and already we were facing about an hour wait for a pie.  Here's why: a disorganized line/wait system, dependent only on the non-owner and a legal pad, hordes of amateur foodie bloggers/hipsters/tourists snapping their cameras and asking too many questions, and an artisinal (read: archaic) way of making the pizzas.  As a side note, we ended up waiting half an hour longer for our pie because the guy taking the orders misheard my name and order and skipped over us because he didn't know what to do.  Luckily, I stepped in to right the wrong and after 90 heat-filled painstaking minutes, got my pizza. The menu is simple: pizzas come by the slice or in whole pies, either round or square.  A plain slice will cost you $5 while a plain pie goes for $28 (get the pie, it's a much better deal).  We ended up going for the DiFara classic pie, which is the best deal if you want toppings on your pizza ($32 round pie that comes with sausage, peppers, onions, and mushrooms).  There's also a list of toppings (both regular and premium) to choose from, but most people go for the plain or the special. To be fair to DiFara and to the process, the pies come with A LOT of TLC: the owner Dom hand-makes each one with plenty of extra virgin olive oil, hand-tossed dough, freshly grated cheese, and snips on heaps of basil to finish the pies. But truth be told (and I'm about to make enemies with hundreds of foodies out there), the pies are not worth the excruciating wait.  The pizza was very very good, but it wasn't, as many reviewers here and elsewhere claim, "the best pizza ever".  My crust was kind of burnt, the middle of the pie was soggy, and the intial bites were so hot it burnt my mouth. Granted, these are small gripes and on the whole, the pizza was definitely a cut above the standard NYC pie, but when you wait an hour and a half for a pizza pie, you should expect nothing but the best.  This was not the best.  Motorino makes an equally good (and in my opinion, better) pie and the wait time is far shorter. With that said, it's an experience that every New York pizza snob should go through at least once.  There is something special and unique about the pizza and the process.  But for everyone who sings their praises and thinks DiFara is the greatest thing to happen to pizza, you don't need to wait a lifetime for great food.  There are other pizzas in this city that are just as good (and arguably better) that can be brought to your hungry stomach much more quickly than DiFara. But I'll say one thing that the reviewers here will likely agree with me on: DiFara kicks the absolute shit out of that tourist hole known as Grimaldi's.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.225773402; Sentiment_Subjectivity (from 0 to 1): 0.513965058 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for lunch today with a couple of co-workers after reading some of the Yelp Reviews and seeing the tips on Foursquare.  I'm not a big Cuban Food person, but if I continue to eat at Sophie's, I could very well become one.  This place was so freaking good, it's scary.  I haven't had a lunch like this in a long time. I highly recommend going for either the sandwiches or the lunch special.  The lunch special is usually some kind of traditional cuban or caribbean meat (jerk chicken, oxtail, pork chop, beef stew, etc...), and served with your choice of two sides.  Even though I originally wanted the fried pork chops, my waiter misheard me and got me the fried pork CHUNKS instead (best mistake ever, because those tender fried chunks of juicy pork melted in my mouth like butter).  My sides were a salad (meh; pretty banal shredded iceberg with some sad tomatoes and onions) and fried sweet plantains (soooooo incredibly good).  And of course, like every other reviewer here says, USE THE SAUCE.  The green sauce here is a must for everything. The waiters are busy, a little overworked (which could explain why we didn't get our drinks, including water, until after our food came), but the service is also really fast and we were out before we knew it (perfect for lunch).  Also, it's cheap.  My lunch was incredibly filling and tasty and only $11 with tax and tip included.  I highly recommend this place for anyone who likes simple, quick, latin food that's tasty too!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177853303; Sentiment_Subjectivity (from 0 to 1): 0.606612903 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here the other night with the BF and a friend of ours.  Had been to the East Village location a while back and remembered it being pretty good.  We decided to give this outpost a try, and overall, it was a really decent meal with service to match. Despite being seated at a cramped table next to the window, I found the food and atmosphere here to be very down-home, neighborhood-y, and a place for locals.  I had a little trouble at first finding something I wanted on the menu; partially because there are very few "dinner" options here due to the prevalence of salad, sandwiches, and the many "market sides", and also because everything looked very tasty and delicious.  I wasn't at all disappointed with my BBQ Pulled Pork Plate with Mixed Greens and market side (I opted for the fried plantains with cotija cheese), which was terrific and full of rich smoky flavor. It was very filling, and for NYC, not particularly expensive either ($17 for the plate and it was a very large portion). I would definitely come back here again and recommend it to people looking for a low-key joint that has very fresh, tasty food.  They are first-come first serve though so do get here early if you're looking to be seated quickly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.130518433; Sentiment_Subjectivity (from 0 to 1): 0.442596006 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for brunch with the BF and a friend from college this past weekend in the city.  Ironically, she found it by yelping for brunch locales in the East Village and I'm so glad we ended up here.  This non-pretentious, neighborhood favorite has all your favorite brunch staples, plus a bunch of non-traditional mediterranean-inspired dishes that will please brunch purists, adventurous eaters, and foodies alike. I was pretty hungry when I arrived, and I had just come off of a lackluster brunch from this past weekend, so I stuck with a traditional favorite: steak and eggs.  My hanger steak was cooked to perfection: medium rare, juicy, and flavorful.  It paired well with my over medium eggs and rye toast.  The BF went with the salmon salad (delicious, he remarked), while the friend opted for straight up eggs.  Truth be told though we did have a hard time arriving at what we were going to eat, as not only everything on the menu looked delicious, but so did the plates of food that the other diners were eating.   With a reasonable price point ($15 for my dish, the most expensive on the menu, and an Americano, not including tax and tip) and a pleasant neighborhood ambiance, it's no surprise that Orlin is as popular as it's reputation, but luckily for most diners, it never feels particularly crowded (it's probably because most of the clientele is waiting to dine al fresco on the narrow patio outside).  A solid alternative (but not substitute) to the madness of brunching at Veselka.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.255952381; Sentiment_Subjectivity (from 0 to 1): 0.669642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friends has been raving about this place for a while now, so during a quick weekend jaunt to NY, the BF and I decided to check it out.  This cozy, earthy restaurant tucked away on an East Village side street was the perfect setting for the farm-to-table meal we were about to have.  Despite sitting in close quarters to other parties and a somewhat limited menu, I was very much looking forward to what we were about to enjoy. We started with the Pork Sticky Buns and the Marinated Beet Salad.  The buns are their take on a classic sticky roll, except the glaze was infused with mustard seed and inside the buns were bits of pulled pork.  Genius!  The beet salad was flavorful and bright, complete with two different types of beets, a beet sorbet, and yogurt.  Sweet, tangy, and refreshing, it was the perfect palate cleanser for our mains. I chose to go with the Elysian Fields Lamb while he went for the Battenkill Valley Pork.  My lamb was cooked perfectly; not too raw, and not too well done, but tender, juicy, and teeming with flavor.  The best part was the stuffed grape leaf; normally I HATE those things, but when I decided to cut inside, it was stuffed with pulled lamb straight up; a terrific surprise!  His Pork (which was Pork Belly) was actually a little dry; not as juicy as I would have liked it to be.  But it still tasted very good. The dessert was also delicious.  My chocolate pot au creme with fresh berries and ginger snaps was the perfect finish; the rich sweet chocolate pudding paired well with the crisp berries and slightly bitter cookies.  His sweet corn panna cotta was also a delight; light, refreshing, and just a bit sweet. Aided by excellent service, this neighborhood joint truly excels in delivering amazing food that's fresh, flavorful, and exceptionally creative.  My only complaints were the sort of dry Pork Belly and being in close quarters with fellow diners amid a gaggle of noise, which made it hard to hear my BF and the waiter.  However, I would definitely return for a special night out, brunch, or try one of their prix fixe dinner specials the next time I come to town.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.27898026; Sentiment_Subjectivity (from 0 to 1): 0.651462759 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Under normal circumstances, Locanda Verde would get 4 stars, but due to the experience that I had here last night with the BF and two of my closest friends from college, 5 stars seems necessary. I met up here with the aforementioned last night for a nice dinner with friends.  Since one of us works at one of Andrew Carmellini's other restaurants, we were treated exceptionally well.  Set inside an earthy yet modern space along trendy Greenwich Street in TriBeCa, Locanda Verde exceeds at delivering top quality food and drink with fresh, well-paired ingredients that create memorable, tasty dishes. The four of us split the Sheep's Milk Ricotta, Blue Crab Crostini, Duck Meatballs, and Octopus to start.  The ricotta was terrific; we couldn't stop eating it up as it was the perfect way to begin the meal.  We underestimated the crostini for the four of us: probably should have ordered two of them for four people, but still very tasty and delicious, with an exceptional balance between the crab salad and jalapeno.  The duck meatballs were also well prepared: juicy and perfectly bite sized with great sauces and seasoning to bring out the flavor instead of making it taste like ground meat.  And finally, the octopus was also terrific.  This isn't your standard fried Calamari; it's a full-sized tentacle that's pan seared and tastes juicy and tender, not hard and rubbery. For dinner, I ordered the Steamed Branzino: two small filets of brightly flavored fish amid a sea of vegetables in a light broth.  Well cooked and all of the accompanying ingredients really seemed to complement the fish. Thanks to our friend, our dessert was comped; with the four of us splitting a Flourless Chocolate Torte, Strawberry Rhubarb Crisp, Sweet Corn Budino, and Red Plum Sorbet.  Probably some of the best dessert I've had in a long long time.  Everything was sweet, but not overpowering, and by the time we finished, I was sated but by no means in a sugar coma.   Everyone, however, was stuffed. Aided by exceptional service and a lively, young hip atmosphere, Locanda Verde is perfect for a special occasion, a nice date, or dinner with your best friends. The fabulous food, creative cocktails, and wonderful setting makes it perfect for a memorable night on the town.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.364059524; Sentiment_Subjectivity (from 0 to 1): 0.616261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Room Service is a restaurant that solidly delivers on atmosphere, ambiance, and service, but puts considerably less energy into its food.  With all due respect, the food here isn't terrible, but it's definitely underwhelming especially if you end up waiting for have to sit in tight quarters. We showed up around 9:30 for dinner and were seated immediately between one of the tens of other first date couples that populated the restaurant (I felt bad as I squeezed past one couple while my butt invaded their personal space).  The menu contains all of the Thai restaurant standards (noodles, curry, etc...) with some house specialities.  We ordered chicken and shrimp dumplings along with mussels to start, and for dinner I ordered the Pad See Ew with Beef while my boyfriend had the Pad Prik King (also with beef).  The dumplings were decent and the mussels (which were highly recommended on Foursquare) fell flat in my opinion.  His Pad Prik King was very good, while my Pad See Ew was nothing extraordinary.  We also each got a Thai Iced Tea.  Also, the prices are very reasonable, which could explain why it was so packed. For a place so crowded, noisy, and filled with young trendy singles and couples, the service was excellent (we didn't have to wait too long for anything).  I'd definitely return for another meal and maybe try something off the beaten path.  Even though the food was not nearly as good as I had hoped for it to be, it was good enough for me to consider coming back (maybe during the week when it's not packed to the gills).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.045164204; Sentiment_Subjectivity (from 0 to 1): 0.548070608 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy sandwich. tuna?  sublime chicken? delish tea? tasty service (not part of sandwich, per se)? awesome lunch, well-served.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.975 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 - even the worst frituur here in belgium (from where I type) is leaps ahead of this place. come here for your fry fix - not for your Belgian frite fix; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -1.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am not a brunch person.  I only have ever liked it if someone wanted to have a late breakfast and I wanted to join and eat lunch.  To me, breakfast is a midnight endeavor most often. Balthazar's eggs bene might have converted me.  Perfectly poached eggs, perfect amount of superb hollandaise, awesomely spiced potatoes.  Pretty much flawless. And thanks to that perfection, this place is a bit of a zoo on a saturday morning.  But it's worth the wait and the hassle - two things I like to avoid but wouldn't even think of it here; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.545833333; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: dudes walking around Medieval festivals gnawing on turkey legs - well they are probably creepy looking (I know I too am creepy looking, but I don't go there or do that.....really). a plate of this food made me want to dive in head first, gnawing and inhaling as much meat as I could at a go, getting luscious bits of meat and sauce in my beard to savor later. swilling beer by the pint, quart, half gallon, gallon..... god, I am drolling just thinking about the place. fette sau, you helped me cover at least 2 of the 7 items on my Deadly Sins Scavenger Hunt; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.135185185; Sentiment_Subjectivity (from 0 to 1): 0.388888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: silders, fries, shakes, beers. seriously what the hell else do you need? me, nothing. especially when they all taste like this.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.166666667; 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: I have been to both Snack and Snack Taverna... Snack is great for lunch or a light dinner, I think their food is fantastic, clean simple food. I love all their salads and pretty much everything I ever had there. Problem: the place is SMALL and it is ANNOYING to be squashed while you eat and more ANNOYING to be watched as soon as your done so they can turn the table over... Snack Taverna's food just isn't as good...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.174358974; Sentiment_Subjectivity (from 0 to 1): 0.654395604 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here for brunch today- just a wonderful experience thru and thru...the bread they have on the table- excellent and homemade right there, i had the egg white omelet with onions and ham...wow! Bellini and a latte too...my friend had the ricotta pancaked and they were fantabulous as was the baked eggs with spicy tomato sauce... Definitely will be back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.380952381; Sentiment_Subjectivity (from 0 to 1): 0.505952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here one cold morning for breakfast- honestly i was aiming for the other place on the other corner but they were closed so I suggested Fort Defiance because I remembered my sisters fiance saying it was good.  Any old way I got the cheddar biscuit egg sandwich and the hash browns with a cup of coffee. Coffee- Drip coffee was great- full of flavor, bold, nice Egg Sandwich- WOW, I actually wanted to stand up and do a slow clap for the chef- that cheddar biscuit was divine...DIVINE Hash-browns- I almost have no words for these shredded buttery taters, except that they are shredded to perfection, drenched in butter and pan-fried like a dream, again, a slow clap would be in order In the famous words of Arnold Schwarzenegger...I'll be back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.149019608; Sentiment_Subjectivity (from 0 to 1): 0.553921569 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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- was looking forward to living the hype- but sadly Buttermilk Channel is more hype than reality in my book. Dragged my friend from Manhattan because of all these great reviews, we got there and the hostess was nice enough (the place trues to be pretentious and that alone is annoying but whatever- their trying to be all exclusive and high end so i allowed them). The tables are kinda small, place is packed the place does look very pretty and tables are dressed nicely.  that's kinda sorta where it ends.  We both ordered two different things for brunch and we were both grossly disappointed. My eggs smelled funny and were served in such an uncomfortable dish they were overflowing it (get larger serving dishes for your omelette's dudes) and my friends egg white omelet was gross! It looked like it was swimming in water- yuk!  Coffee was OK and we both got sides they were not good also and the bread was just OK.  We were also disappointed by the desserts so we left kinda complaining that we would never come here again. Too many good places in Brooklyn to pay top dollar for pretend upscale food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.065535714; Sentiment_Subjectivity (from 0 to 1): 0.628214286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would say a solid three star for the quality of food and great service the only negative is the limited menu -my hubby wanted a steak or some piece of "hot meat" but they only had a cold steak salad, again no big deal but view the specials online if you or your partner are picky people! Cute backyard area I believe you can host private events.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.052597403; Sentiment_Subjectivity (from 0 to 1): 0.610714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came to Lombardi's one day by accident, a friend and i were looking for a place to eat and somehow stumbled onto Lombardi's. I am a obsessed with pizza by the way and for years my fav was grimaldi's (but then they sold it and now its not a solid five stars anymore :( ) Anyway, strolled into Lombardi's and ordered a pie with black oil cured olives and a little fresh garlic...when the pie came it looked delish! the smell was unbelievable and then we tasted it and wow! it was one of those hard to replicate moments. Maybe it was that moment, that night, but my friend and I swear we made love to pizza that night! It was awesome!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.001893939; Sentiment_Subjectivity (from 0 to 1): 0.697727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Piccolo Angelo is a great American Italian restaurant- what does that mean- to me the food there is yummy but its like pizza food- it's all ricotta, mozzarella and lots of sauce- its a red sauce rest that makes basics like Marsala and parmigiana it's good, yes, but I do not consider this fine Italian dining by any means Double annoying points for the fact that its always busy...I really don't get it; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.091287879; Sentiment_Subjectivity (from 0 to 1): 0.330681818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 shocked at the five stars of this place- La Marco is just OK, nothing extraordinary- nothing stands out, and on top of it all they are pricey for what they give you. They prob get all their cookies and stuff from bakeries in Brooklyn, sadly not even the best bakeries, just the average ones, then they sell you one for a dollar- total rip off. The bread is nothing special. The pastas are OK, but I came three times and each sauce I tried is sweet!! I am convinced they add sugar (a lot) to their sauce and a touch of cream, for a real Italian- not a good experience. Sorry guys. For being nice and having a nice selection of things to eat, cheeses, breads, veal dishes, etc. I gave them three stars but based on the food alone I would give two.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217959449; Sentiment_Subjectivity (from 0 to 1): 0.660714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Luzzo's is a great place to go and have pizza - not really worth ordering other items.  The waiters are very authentic and funny and the pizza is good.  I would say 3.5 stars, fourif they can make it less soggy in the middle! Yes, another place that does that sometimes...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.244791667; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not sure what some other people experienced, but this is one of my favorite places in my neighborhood, the food is delicious, fresh and the ingredients are good. I know he uses mid to high quality ingredients because you can see it. I love all the panini, the meatballs and mac n cheese are awesome...my favorite thing is the beet salad with goat cheese...the wine selection is fairly impressive. Two things they could improve are the bartenders and maybe expanding because it is annoying trying to get a table.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.329615385; Sentiment_Subjectivity (from 0 to 1): 0.715683761 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 think this place is fantastic. The good outweighs the bad.  For a foodie its kinda like what an amusement park is for kids, its fun, exciting to see all these awesome products under one roof, it has that "I cant wait to try that" appeal... 1) the shopping is great- really fantastic products, as well s cute kitchen gadgets all imported from Italy, as expected- the prices are high, Coluccio & Sons in Brooklyn has same and better products for cheaper 2) the food courts- they are really fantastic, the bread-delish, the focaccia, light fluffy, authentic, the pizza, magnifique! 3) the restaurants- I have not tried those yet, BUT, the food coming out of the kitchen looked sooooooo good. My only gripe is that it gets "walked" around before getting to your table and I kinda sceeve that, people could sneeze on the dishes, BUT as I said before, it looked soooooooooo goooooood 4) the lines and the general store traffic- the lines go fairly quick, the general store traffic sucks, there are way too many people in there for someone to really enjoy their time alone with a glass of wine while browsing the fresh pasta or meats section. I only wish there was more sampling stations but I can see how that would be expensive.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.259252874; Sentiment_Subjectivity (from 0 to 1): 0.628678161 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 think Joya is ok, the food is good, i think it could be better- they use a lot of fish sauce, but anyway the worst part is the lines and the annoying loud music inside- I dont want to go def I dont want to be in a club I want to eat my dinner... But as far as food, its pretty solid, its good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.105; 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: - Place is pretty- very nice place. - Staff was very good - Food was good- but I cant say anything incredible - Homemade caramels at the end of the evening was a nice touch!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.715; Sentiment_Subjectivity (from 0 to 1): 0.88 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As soon as I heard the ORIGINAL PIZZA GANGSTA, Patsy Grimaldi re-opened at his original spot on Old Fulton Street - I had to go try it!  I stopped going to Grimaldi's shortly after he sold because: 1- it got so corny and commercial 2- Patsy never gave them the recipe for his dough!  Please he is way too smart for that Anyway, Juliana's is pretty, clean and the pizza is just delish- in fact the DOUGH is so freakin' good it's like eating cake, I mean it's just melt-in-your-mouth//please-give-me-more good. Happy for him and his family- People step off- the Original Pizza gangsta has returned to claim his territory!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.312477106; Sentiment_Subjectivity (from 0 to 1): 0.613873626 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome! Excellent!  One of my new favorites for breakfast and lunch- have not been there for dinner. Food is tasty- homemade and looks like its made with love- coffee is awesome!!! I will def be back; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.606060606; Sentiment_Subjectivity (from 0 to 1): 0.675757576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Molly's is the best thing as far as an Irish pub/shebeen goes.  The wood chips on the floor, the perfectly poured Guinness, the wooden booths and the awesome jukebox- I love love Molly's and I love their Shepperd's pie too!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place- dinner is great- good solid food, breakfast is nice but they really need to make a better coffee--come on guys, get good quality coffee from Italy or a better machine or a better maker or all three- Been here three times and got a double espresso latte and the coffee is just blah- no aroma nothing extraordinary - very disappointing :(; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.271666667; Sentiment_Subjectivity (from 0 to 1): 0.59 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the veggie sandwiches and the noodles!! Great spot for good food/good prices :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.6953125; Sentiment_Subjectivity (from 0 to 1): 0.7375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good Greek lunch!  The avgolemono soup, greed salad and lamb sandwich rocked.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.455; Sentiment_Subjectivity (from 0 to 1): 0.39 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is insanely good but the special tuna and pork "DOM" dishes are orgasmic.  You can not say you are a foodie and not have tried one of these DOM side dishes. PS. Try the Soju wine ! PSS.  bring CASH; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.573214286; Sentiment_Subjectivity (from 0 to 1): 0.585714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried this restaurant for a late lunch because of the volume of positive reviews and this proves the power of YELP - What a find !  If your palate is tuned to truly good french food then you are in for a great meal.  The SAUTED HALIBUT in a lemon sauce is a secret weapon that should not be overlooked!  It does not sound like much on the menu but WOW WOW WOW. Just have them hold back on the chorizo unless you are a fan.  T he cost was below what i would expect to pay and the service was superior to many French establishments in both the US and France. We will return !; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.175142045; Sentiment_Subjectivity (from 0 to 1): 0.512215909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love the breakfast pita!! This place is clean and delicious.  The owner is in the open kitchen making sure every order is perfect. I only deducted the one star because the counter waitress is clueless- the weakest link. A must visit for breakfast or lunch.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.521130952; Sentiment_Subjectivity (from 0 to 1): 0.812698413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 visited Basso56 on each of my last three trips to NYC and each meal has been stellar.  Tonight we had the burrata appetizer, pappardelle boar ragu and our main was the branzino.  WoW - everything was fantastic!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.203333333; Sentiment_Subjectivity (from 0 to 1): 0.51 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Batali hit it out of the park!  5+ stars!  Don't let the relaxed atmosphere fool you, the food is some of the best in NYC.  Everything we ordered was fantastic.  Must order the Calamari with Farro and Bavette Cacio & Pepe ! Thank you !; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.8125; 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: .; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ordered takeout and the pizza crust was somewhat soggy - need I say more?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Whatever!  Food whatever Service big whatever Coffee yum; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.1 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy cute place, tasty morsels of food but tiny to the tune of fitting 10 people into the dining area max, That's probably being generous. Either way Snack has awesome fresh dishes and is a great place to get away from the crazy tourist areas in SoHo.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.357142857; Sentiment_Subjectivity (from 0 to 1): 0.735714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: YUM!!! The food here is good, great little plates for sharing and a lovely atmosphere. It is a little pricey if you're not coming here on a corporate card but definitely a must try!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.232142857; Sentiment_Subjectivity (from 0 to 1): 0.514285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How I crave the oxtail marmalade and seafood tower at Blue Ribbon. I lived right next door to this awesome culinary casa and have had everything on the menu a few times over. Blue Ribbon is one of the best places to eat great food at any hour. Especially 4am ;); Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.285064935; Sentiment_Subjectivity (from 0 to 1): 0.444155844 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Get ready because you are going to be addicted to these freaking french fries and their delectable dipping sauces. So fresh and delicious. These thick cut fries are served up in a paper cone. :); Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.185714286; Sentiment_Subjectivity (from 0 to 1): 0.582142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you are a biscuit fan like I am you need to stop by and order a biscuit sandwich or a simple biscuit side served with butter and berry preserves. You only need to have one to feel satisfied these are huge and tasty. Try to come at off hours though the line is often annoying.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.02; Sentiment_Subjectivity (from 0 to 1): 0.831428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a disappointment this place was!  After much anticipation I finally walk (in the rain) to Kati Roll and wont be coming back. After ordering the chicken and paneer tikka rolls and waiting for what seemed like an eternity (not sure why because the place wasn't busy) the food comes out charred, greasy and did I mention charred? The paneer tikka roll was better than the chicken roll but not by much.   The overhyped Kati Roll is as big of a disappointment as Magnolia Bakery.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.15; Sentiment_Subjectivity (from 0 to 1): 0.490740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap but not delicious. Not terrible just not flavorful. Come here if you're in the neighborhood, starving, low on cash and just want to feel full.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.71 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I LOVE RAO's!!! Besides the delicious homemade food that I continue to crave constantly the cast of characters that frequent this place is pure entertainment! The people who run the restaurant are the nicest guys- stop at the bar and talk to Nicky vest! Bonus -you get a discount if you purchase any of the Rao's sauces at the restaurant instead of getting ripped off at the grocery store!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.499017857; Sentiment_Subjectivity (from 0 to 1): 0.546666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Roti is a must yall! You get 1 piece of roti served up with a small cup of curry sauce for dipping. In the curry sauce there is exactly 1 piece of chicken, 1 piece of chicken skin and 1 potato slice.  Makes for a great little snack for $3.50. Cash only and served up pretty quickly. I had the bean sprouts also which were pretty good, cooked in white pepper and garlic chips. Better than McDonald's and for the same price as a value meal. Nyonya is worth a visit.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.116388889; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Umm Ummm Ummmmmmm!!! Always good, always fresh- the noodles are home made and the sauces fresh. Great food and not pricey- one of my fave places to have pasta in the city. Try it you won't be disappointed. PS Expect to crave it again. All my love goes out to you the many pastas and sauces at Il Corallo.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.335714286; 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: As far as Greek goes,  "meh. I've experienced better", and the worst part is, I've had better food that was far less expensive. Snack is a smallish restaurant that's a bit too big for it's breeches.  If you don't live or work in the neighborhood, or get lazy after work and order expensive takeout as a last resort (me), I'm not sure why you should go out of your way to have weekend brunch or dinner here, although I can see how it draws a lunchtime work crowd for sandwiches.   Speaking of going out of your way, I LOVE, nay CRAVE lemon chicken soup (which is always part of my Snack repertoire when I do order here), but if I were a billionaire living on a remote island in the Caribbean, I'd have my soup flown in from Mykonos in Miami and not Snack (remember, I'm a pretend billionaire so I'm not being a cheapo on jet fuel). Same thing with the lamb meatballs, beet salad, and the roasted chicken, I can immediately think of better restaurants in New York to order those dishes from.   Since I'm not a billionaire or even a millionaire, I will continue to spend my hard earned money elsewhere until the lemon chicken soup craving turns me into a monster and I have to feed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.066066919; Sentiment_Subjectivity (from 0 to 1): 0.591393098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 must say the SOHO incarnation of Boqueria is boss.  I wouldn't recommend the other location simply because I prefer the layout and crowd of the Spring St location.   Once again, I stuffed myself Thanksgiving style at a tapas bar, how is that possible? I was with a group of 8 and we over ordered, but the good things was that we got to try almost everything on the menu! Most of the group had never been there (I'm a repeat offender) and they were all satisfied! There's something for everyone, but the bacon wrapped dates are a fail safe starter. The white anchovy dish was delicious. Some of the dishes like the cod fritters and the croquettes are on the heavy side so don't order too much fried-type stuff without ordering some light seafood or veggie dishes like the brussels sprouts or the spinach to mix it up.  The cheese and chorizo fondue is great. If you just wanna pop in for a glass of wine and a snack with a friend  get a mixed cheese plate with serrano and sobrasada, it'll leave you wanting more.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2859375; Sentiment_Subjectivity (from 0 to 1): 0.533258929 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 post is specifically about BRUNCH Public has all the right ingredients for brunch: - inventive takes on classic brunch items (like coconut pancakes) and several great egg dishes - great refreshing drinks like peach bourbon iced tea - an attractive and classy crowd - ambiance- it's not too loud and the high ceilings and skylights in an industrial space create a relaxing atmosphere.   If you are looking for something more exciting and exotic than regular old eggs Benedict, the Turkish eggs (over Greek yogurt) is some of the most delightful breakfast I've ever had. If there's a little wait when you arrive, hit the bar and pass by the baked goods table so that you have something to nibble on while you wait. The bartenders and crowd are super friendly and chatty. * Good for dates and friendly group meet-ups.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.348328571; Sentiment_Subjectivity (from 0 to 1): 0.574105495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 gonna keep this short and sweet (not like the wait for a table here), since 300 other people have already put in their two cents (it'll cost a lot more than that to eat here but it's more than worth it).  Best brunch in the city!!! The egg dishes are flawless, and the steak tartare is so mouth-watering, it gives credence to Duran Duran's song Hungry Like a Wolf.   The bar seating is usually pretty quick and with good service. Don't forget the little cafe stand to the right of the front door- amazing pastries and coffee (no shame in walking in and grabbing a snack to go).  I'd recommend you skip ordering dessert at the table and grab a coffee and an oatmeal raisin cookie and enjoy while walking around Tribeca and  walking off your lamb sandwich.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.412909226; Sentiment_Subjectivity (from 0 to 1): 0.575669643 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: MOUSE- in the restaurant, did I get your attention? I had dinner at Market Table last night with 5 friends. We had a 10 pm reservation. They don't have many big party tables so you should reserve a few days in advance for parties of 6 or more.   In a nutshell: - nice ambiance - olive oil for the bread was rancid - they didn't bring small plates out for the bread or shared appetizers - wine, appetizers and desserts were good - entrees are underwhelming - saw a mouse in the restaurant FOOD: Appetizers were the best part of the experience.  The beef carpaccio was excellent. Entrees weren't up to par, especially considering the price and lack of selection (vegetarians beware).  Desserts were good, we ordered the fruit crisp, the chocolate cake, and a bourbon sorbet to share; all were appetizing but not orgasmic. ATMOSPHERE: The space is tight but the big windows and high ceiling add an airy feeling. The crowd was attractive and well dressed. The noise level was suitable for conversation. The lighting is ambient, not too low to read the menu. Back to the MOUSE- we were finishing coffee and tea when we saw the mouse, luckily not while we were eating dinner. Best for: dinner with friends or low stress dates; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.298531746; Sentiment_Subjectivity (from 0 to 1): 0.483015873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 weather was amazing last week and I decided to take a walk to Snack with a friend after a coworkers recommendation.  I was told the place was tiny (the entire place can only seat 10 people comfortably) and that we should just order the sandwiches to go.  Fortunately when we arrived, there was one open table and nobody waiting so we promptly sat down. The menu has many healthy options and you will not feel guilty about what you ate afterwards.  We started off with the eggplant dip and I had the lamb sandwich while my friend had the tuna sandwich.  The eggplant dip was a very normal affair and did not stand out too much.  My friend enjoyed her tuna sandwich even though she did note the tuna was a little dry.  If it was just based on those two items, I would most likely given the place 3 stars, but the lamb sandwich was so amazing that it bumps it up to four.  I do not know how long they stewed the lamb, but it was so tender.  It was complimented with a sweet and savory tomato aioli and served on light and fluffy ciabatta bread.   I could go back to this place and order the lamb sandwich for the rest of my life.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.159411111; Sentiment_Subjectivity (from 0 to 1): 0.591022222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to give this place four stars, but had to knock it down to three stars due to the portion inconsistency of their kitchen.  I have been to Sticky's twice and have ordered some of the same dishes and some new and the portion sizes were not consistent.  If the prices were two or three dollars cheaper than it would not be an issue, but if you spend twelve dollars on chicken fingers you expect them to be larger than the fingers you spend six or seven dollars on somewhere else. The flavors are tasty and original.  I have tried the classic, bada bing (chicken parmigiana), wasabi and salted caramel pretzel.  My personal favorite is the salted caramel pretzel; this finger is breaded with crushed pretzels instead of bread crumbs and the saltiness from the pretzel is a nice contrast to the sweetness of the caramel.  The truffle fries and sweet potato fries are excellent sides.  The sweet potato fries may be too sweet and not to everyone's taste.  I have also tried all the slaws and I would not recommend any of them.   Just to elaborate on my first point, the first time I ate at Sticky's was because of a Gilt City deal.  We ordered the Wasabi and Salted Caramel fingers and the wings were huge and delicious.  The second time was after we told our friends about it and they said they wanted to try it and we jumped at the opportunity to eat at Sticky's again.  Once again we ordered the Wasabi and Salted Caramel, but this time we added the Bada Bing and Classic.  The Salted Caramel fingers were the same size, but the Wasabi fingers were a third of the size of when we first had it.  The Classics and the Bada Bing were the same smaller size.  The first time we ate there, we each ate one and a half of our fingers and we were full.  This time we finished all three of our fingers and we could have still eaten another finger each. I would still recommend Sticky's, but just be aware that their portions have gotten smaller and you may want to get an additional side.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.160642136; Sentiment_Subjectivity (from 0 to 1): 0.479336219 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Barrio Chino is probably one of the most unassuming places I have ever been to.  There is no glitz, no glamor, just really good Mexican food.  I went with one friend and we met for dinner around 6:30 on a Thursday and we had no problem getting a table.   We ordered the chef's recipe guacamole and tortilla chips for an appetizer.  The guacamole was delicious and it was accompanied by four house made salsas of varying levels of spiciness.  Then my friend had the grilled chicken tacos with a side order of rice and beans.  I ordered the marinated steak tacos with a side order of sauteed spinach and mushrooms.  The side orders are a must as the tacos are tiny and can be pretty much finished with two bites each.  They give you three tacos.  Despite their size, the tacos pack wonderful flavor as the fresh tortilla shells, meat, fresh vegetables, salsa of choice and fresh squeezed lime juice come together.  Even though the side dishes are overshadowed by the main course, the chef still gives them his full attention as the rice and beans came out light and fluffy and the sauteed spinach were cooked and seasoned perfectly. The service was great, the atmosphere was cozy and the food was delicious.  I am definitely making a return trip and this time I will make it a point to get the plato mexicano which is a sampler platter of some of the place's favorite dishes.  If you do go, try to go early as it was pretty crowded when we left with all tables occupied and a line of three or four groups still waiting.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.321794872; Sentiment_Subjectivity (from 0 to 1): 0.607051282 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I always go to this particular Grey Dog's because it is the largest out of all of them.  However, that still does not guarantee that you do not have to wait.  I have been to this one on several occasions for Saturday brunch and each time there would be a line to the register to put your order in.  The line averages about 30 minutes.  After placing your order you begin searching for your table which the host has marked with a patterned handkerchief. I love all their breakfast foods.  I usually get the Grey Dog's Breakfast which is eggs, bacon or sausage, and pancakes or French toast.  I like both their pancakes and French toast so I tend to alternate between the two.  They also have a variety of burgers, salads and entrees which I must get around to trying eventually; not to mention all of their desserts and coffee bar. Everything at Grey Dog's is homemade and served in heaping portions.  The restaurant has a very warm inviting feeling to it and it is no surprise that they are never short on business.  The staff is also very helpful and hospitable.  I highly recommend this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.100444444; Sentiment_Subjectivity (from 0 to 1): 0.266888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you are making a trip to the Corner Bistro, you are most likely going for the Bistro Burger.  The Bistro Burger is undoubtedly one of the best burgers In New York.  I do not know what kind of ground beef they use or what herbs and spices they mix into it, but it is heavenly.  The burgers are then topped off with a generous amount of bacon, a slice of cheese, lettuce and tomato and all stacked on a roll.  The burgers come by themselves and you have to order the fries separately if you want them.  There is nothing special about the fries.  If anything, they may actually be a disappointment as it is hard to believe that those fries are supposed to compliment such a good burger. Just to set the record straight, Corner Bistro is not a restaurant.  Corner Bistro is a bar that just happens to have an amazing burger.  They only have a couple tables in the place and you will almost always have to wait to be seated at one.  If you do not mind sitting at the bar, you will probably find seating there a lot quicker.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.246295371; Sentiment_Subjectivity (from 0 to 1): 0.620587746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ippudo is a wonderful establishment with some of the best ramen dishes in the city.  The decor of the restaurant is vibrant with kanji letters, ramen bowls on the walls and an open kitchen that shows all the magic in progress.  You get to experience all of this after a wait of no less than half an hour no matter the day you go.  The most recent trip was this past Wednesday where we entered the queue at 7pm and did not sit down to order until 830pm.  They do not take reservations. For appetizers, you have to get the Hirata Buns with pork.  The flavor of the pork is reminiscent to Chinese Char Siu and it is served with some of their own spicy sauce on steamed buns which I can only imagine what eating a cloud tastes like.  For the main course I almost always go for the Shiromaru Hakata Classic with added Kakuni.  It is a pork broth and it is amazing.  When I eat Chinese noodle soup, I usually finish the noodles and the wontons or fish balls or whatever I order with my noodles and call it a meal.  When eating ramen from Ippudo, I drink as much broth as I can with a spoon and I have to stop myself from lifting the bowl to my lips and slurping the last one or two gulps in the bowl.  It is THAT good.  The main garnish in the dish is the pork loin and even though it is very tasty, I need to add Kakuni or fatty pork belly.  They prepare it with a marinade that gives it a very unique smoky flavor and it is cooked just right so that it is firm enough to stay in one piece but is still tender enough that it falls apart once you bite into it.  My secondary choice is the Karaka Miso Ramen which I get when I need a spicy fix.  Basically, you cannot go wrong with any of their ramens. I would probably give Ippudo five stars if it was not for the awful wait everytime I go there.  Even if they would only take reservations for the day of and only starting at 4pm.  At least then I would only have myself to blame for not planning ahead to secure that reservation.  As things stand, I feel screwed over before I even get there.  If you are not pressed for time, Ippudo is a must.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.097524802; Sentiment_Subjectivity (from 0 to 1): 0.498531746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has been disappointing to me. I've been couple of times and I couldn't help to notice that there are some recurring problems: 1)certain food they have is good (the eggplant dip is my fav), but other things on the menu are horrible (I had the octopus and trust me if I say that it was the worse octopus I had in my whole life) 2)the portions are small, and the prices are quite high 3)the waitresses were both times not very nice I feel sorry because it's a really cozy place, and I love greek food, however I really don't think this a good spot in you are looking for great and faily-priced food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.002860577; Sentiment_Subjectivity (from 0 to 1): 0.580264423 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to Pylos for lunch few days ago ... after years I wanted to try it! Food is tasty and fresh ... the thing I liked the most is that you can actually easily identify all the ingredients in your dish. So not only food tastes good but it seem to be not too much processed. Definitely healthy in that sense. However, I did not like the selection on the lunch menu. There were very few options (both my friend and I spent 10 minutes trying to figure out what we wanted), and didn't have any sort of "lunch special" which I think is always a nice and smart choice (especially considering that the restaurant was literally empty the day I was there). Service was good. The decor of the place is very very nice. Food again was fresh and good but I wasn't happy with my appetizer (Melitzanosalata) which tasted very garlicy. Then I had the Branzino with olive oil and lemon which was good. Ultimately we order the greek yogurt with cherry, honey and walnut ... which was AMAZING (don't miss that!). Overall good restaurant, I will go back to try more foods and give a more accurate review.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33514881; Sentiment_Subjectivity (from 0 to 1): 0.553467262 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AMAZING hidden gem! This restaurant has it all: great food, good size portions, attentive and friendly staff, lovely backyard and fair prices! I have been to this place about 10 times and I tried several dishes, everything is so fresh and delicious! This is what I had so far (with my grades): - Jaleita: 10 (amazing, large portion of fried calamari, fish and shrimps. Comes with a nice sauce and it's the size of an entree ... though it's in the tapas section) - Zapallitos: 9 - Tamalito verde: 10 (so amazing...) - Toro con palta: 8 (good but on a small side for $14) - Chupe: 10 (didn't have this one, but my husband did and he keeps talking about how good it was) - Entrana Tacu Tacu: 10 (my favorite dish on the menu by far, get it medium rare!). - Mussels in white wine sauce: 9 (huge portion of mussels, very tasty, though I'm not a big fan of covering seafood with white sauces) - Churros: 7 (it was good but the melted chocolate was really small, also the churros themselves were a bit too sweet and crispy ... quite different from the ones I had in Spain). - Sangria: 10 (very good, not too sweet) - Complimentary chips: 9 (very nice treat! thanks!) In general the restaurant is never too packed, which is great. Service is friendly. I only have couple of SUGGESTIONS for the MANAGER: - I would serve the sauces (the one that comes with the chips and the one that come with the Jaleita) in different bowls. It's really difficult to pick them from the little dishes or spoons where you place them and I also would put slightly more sauce. Same thing for the chocolate that come with the churros. - I would pick different placemats for the outdoor tables ... - Not a big fan of the TVs inside ... it kills the atmosphere if you are having a romantic dinner or even if you are out with friends... I would turn them off unless there's something worth watching. Overall an amazing restaurant!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310852007; Sentiment_Subjectivity (from 0 to 1): 0.592488329 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can't believe I waited so long to try this amazing place! This is in my opinion the best pizza in the city! I'm Italian and I moved to NYC 8 years ago. It has been a constant struggle to find a decent pizza in this city. I can say I've tried all the most popular places and always left disappointed. While tonight I was so happy and satisfied with my choice! First of all the ingredients are fresh and top quality. Mozzarella and tomato sauce are delicious and don't taste like usual NY stuff. The dough is great, crust is thin without being too thin. I'm really excited I found this place! The delivery was a bit slow, but I ordered on Halloween night so I should consider myself lucky that I received my pizza at all!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262047101; Sentiment_Subjectivity (from 0 to 1): 0.598550725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lived in the city for almost 6 years. I tried many places for brunch ... this is and will probably always be the BEST. Food: I love it! I tried Churrasco and Eggs, Arepas Benedictos, Huevos Rancheros and Tacos. Everything absolutely delicious! Prices: Prix Fixe $ 15for Brunch, includes a delicious entree, drink and coffee. For me still one of the best deals in the city. Drinks: Their Mimosa and Sangria are really good. Had them as part of my prix fixe brunch and love them. Service: Friendly. Atmosphere: I love the energy of this place, though background music might get loud. Only complain: portions got a bit smaller in the last couple of years. Entrees used to be huge and people were sometimes not finishing what was in the plate... now they are just enough for you not to walk outside of the place still hungry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.452941176; Sentiment_Subjectivity (from 0 to 1): 0.57745098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, DELICIOUS, DELICIOUS! This place has phenomenal food. I order always three sides which they place in a same dish making a perfect entree. Scrambled eggs, steak, and mushrooms. Each of these things is just 10 times better than at most places I've tried so far. The atmosphere is nice too. Only 2 small complains: tables are really close to each other, and the 2 scrambled eggs were huge ... probably there were 5 eggs in it instead of 2! Overall really great ... and fairly priced too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.455555556; 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: Bah ! That's what I said walking out of this place, after spending $ 60 ( we were two people) ... and eating almost nothing! (and drinking only water!) Portions are ridiculously SMALL, and you pay for a full size! Food is nothing special, sandwiches seemed decent ... but if I want a sandwich maybe I'll just go to a deli ! Decor of the place is the only reason why I think they get so many clients...place looks cool. Service was slow and not the best in general. I was so DISAPPOINTED ... especially considering that I wanted to go to Rucola for so long!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.110034014; Sentiment_Subjectivity (from 0 to 1): 0.620578231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch special of the city! I still cannot believe how delicious, fresh and affordable is their food !; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.705357143; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to Olivier tonight with my husband for dinner and I really enjoyed this place. I had the lamb shank with some amazing french beans and potatoes. The food was great, the atmosphere was very nice and the service amazing. I'm excited to have this restaurant in the neighborhood and I think it's a great addition to the area. I have just couple of suggestions for the owners: the place is TOO dark, please put some more candles on the table or do something, as I could barely see the menu and my husband during dinner. Also the menu needs in my opinion couple of more appetizers and entrees (perhaps a nice beef for one person or a pork chop). Overall a great restaurant!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.463666667; 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: a quietly pleasant nook less polished than its older brother snack taverna in the same neighborhood. snack however is far more comfortable and on an afternoon lunch break is choice place to eat. memorable foods include: greek salad, beet salad, avgolemono soup, melitzanosalata, roasted and vegetarian souvlaki sandwiches. the entrees are more expensive and come in smaller portions, so be proud you are good to your wallet and love sandwiches, it's alright, no worries. they keep a small and selective menu meant for the soho pocket. expect fair to helpful service in a low key upper middle class environment. vegetarian and meat-friendly without a hitch as greek/mediterranean food normally is [3.5 stars].; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.21969697; Sentiment_Subjectivity (from 0 to 1): 0.54280303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: you get a gut full of pomme frites with saucy sauce options like the stellar mango chutney mayo, honey mustard,  and pomegranate teriyaki. a perk: i get to order in tagalog. we do fried foods deliciously in this small and too cozy, oil infrared establishment. on weekends, patient and impatient goers chuck their heart-conscious diets away packed into wood-laden walls redolent of small town diners. the winsome pomme frites come to you suprisingly fast, with the masterful balance of crunchy, hot, and soft potato interior. wait a second though, cause they just bounced out of the fryer. all other fries you've experienced: steak, thin, ridged, shoestring; they all imagine themselves to be this holy, to be this popular among so many dip and sauce friends. mmm under $6 and undoing your belt buckle.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.213235294; Sentiment_Subjectivity (from 0 to 1): 0.622058824 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hipster sea of skinny jeans (that's right, i said it.), oasis helps you escape away for a mere $3 for a falafel sandwich. other items such as babaganoush, hummus, and shwarma are equally as memorable. anticipate a small charming seating area,  delicious attention to a basic dish, a tv on with weird and/or amusing programming, and a nice staff. by the bedford ave. L train and available at all hours.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.208516484; Sentiment_Subjectivity (from 0 to 1): 0.67967033 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: heard along the yelper new york resident line that this place was gonna knock my socks off, gonna blow it up, gonna work it work it. if you are a vegetarian or vegan, i am sorry. i really love vegetarian dimsum house though. go there! the noodles with soup are pretty good, the chicken congee is warm and smooth. usually, beef stew with wonton noodles are a constant at my table. listen also, very closely: fish balls. service is gawdy and plain at best, but food is delightful and come by the bowlful. your wallet drops $6-$9 in a valiant success for cheap and tasty food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25294237; Sentiment_Subjectivity (from 0 to 1): 0.559063853 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you cannot walk to Chinatown and you are stuck, I mean seriously stuck in the arc and pretense of Soho, Mooncake Foods is an oasis. The food is cheaply priced unlike its fancified counterparts and offers a range in seafood, veggie, and meat-friendly fare. I appreciate the range in tea, as well as specials. To be honest, I trust their service because it is family owned and far more down-to-earth than many of those businesses in the area.  They remember their customers and regulars and are eager to please. Over all, I feel they do right by the seafood offerings like the salmon dishes/salads, shrimp,  and lobster tail. The textures are succulent and prepared with a hoisin-soy glaze that accent the flavor not overpower it.  Other contributions like the pork chops can scream hints of both Pilipino and Vietnamese cuisine, balancing sweet with savory. These subtle nods are comforting to my palate.   I disagree however with the props all around many reviews re: sauces. As someone who is Pacific-Islander and a seasoned cook, I find that some of the sauces are redundant and are ones easily found in any asian market, with no real chef signature, but tastes found often and everywhere.   Condiments aside, if you appreciate simple digs with abundant portions than Mooncake is the place to rest your fork/spoon.  Expect a crowded small cove on weekends and a clear, quiet, and sunlit space during the afternoon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.133255694; Sentiment_Subjectivity (from 0 to 1): 0.500957557 [/INST] Not Spam</s>