Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was in Soho with my parents and we were looking for a place to eat. I yelped and found this gem! It was a beautiful day so we sat outside. We ordered off of the special menu and everything was delish. They started us off with some yummy crusty bread, butter and olives. Dad got dorado fish, mom got chilled gazpacho soup and I got baby arugula, beet & goat cheese salad. We also shared some oysters. For dessert we had creme brulee & cappuccinos (obviously)! Not only was the food delicious, the service was great and waiters were super friendly. I will definitely be returning here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.412830688; Sentiment_Subjectivity (from 0 to 1): 0.670899471 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fireflies cocktail is gross. Too much cinnamon. Cute place and good location, ideal for drinks and people watching. Food is whatevers. They're charging people  like $6 for two slices of watermelon, couldn't help laughing at the people that did order it. What a joke.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.46; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My husband and I went here for a date night and we loved it! The food was amazing!! We had hummus, falafel and Shepard salad for appetizers and then he had the St. Peter's while I had the surf and turf lamb chops. It was so wonderful we ate everything!! We just couldn't stop eating it was so good. My lamb chop was juicy and could be cut with a butter knife!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.921875; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, who figured out all of my favorite things and built a business out of it? Everything was top notch. Almost all of their alcohol, with the exception of tequila, is american, and the cocktails are refreshing and tasty (albeit a bit weak, but it was 1 pm, so maybe the bartender wanted us to take it easy). The food was great, and the portions are much much more than you expect, and fair for the price. I'd skip the jerky and bacon (good but not great), and go for anything with chicken, biscuits, and gravy. The star of the establishment is obviously the pickles, and for $16 you get more than three people can finish, myself included - the girl that once finished a costco-sized jar of pickles by herself in one week. Bonus points for playing all of the music we loved in high school: Vampire Weekend, The Shins, Voxtrot, and Phoenix.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.301078431; Sentiment_Subjectivity (from 0 to 1): 0.661666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I have -only one week in NYC I'd eat at Ippudo at least 4-5 times out of 7! That's how friken good the ramen is. Westside is a  little tamer than east side. Food is the same :) awesomely amazing!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233928571; Sentiment_Subjectivity (from 0 to 1): 0.646428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't forget the pattern of the lovely kerchief for your table =) love the Grey Dog Breakfast!!! Had scrambled egg w/ French toast n/ sausage. It's great!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.400390625; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My first time visit, not much of a decor to talk about, price is cheap consider the neighborhood.  Can't complain on the service, the waitress was friendly.   2 stars are only for the Grilled Pork Chops plate, my friend had salmon which looked and tasted much better.   The chef must have forgotten to pound the chops, the 2 pieces were so tough, I was having a hard time cutting them.   Very little sauce on the chops and none on the rice which made it hard to eat since the chops were dry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.038136574; Sentiment_Subjectivity (from 0 to 1): 0.608333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Having lived in the West Village for the last 3 years, I am amazed that I've never found my way here. Yes I've walked by a ton of times but how is it that this place was never on my radar before.... that was before I was told that this place actually serves some pretty awesome Italian pasta and indeed it did at pretty affordable prices. So I read that the owners of this place also run Gradisca and Piadina (both restaurant I really like - Gradisca is quite up there for pasta in the n'hood for me and Piadina is just such a tiny neighborhood kinda place) and expectations were high prior to coming here. No reservations and this place was packed for Friday dinner...  but the beauty of being the fairer sex AND choosing well in the dating pool is that this part's always taken care of by someone else :) As it was drizzling that night, there was no outside seating (which would have been lovely on day with nicer weather) but we scored ourselves a great table by the window.... not only did we have an awesome spot, we were also able to make use of the extended table space provide by the ledge. Yep, in a neighborhood spot like this, extra table space is always appreciated. I had the spinach gnocchi and it was lovely (and you thought the regular gnocchi couldn't get any better!) BTW cash only.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.2634; Sentiment_Subjectivity (from 0 to 1): 0.54434359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bakehouse has amazing bacon, just okay food otherwise and really bad service. We had brunch there on a recent Sunday; the place was not every crowded, but it still took about 40 minutes for our food to start *dribbling* out of the kitchen. I mean, they would bring out one plate, then two a few minutes later, then another two after that. One of our group--ironically, the only pregnant one--was left waiting more than 15 minutes after everyone else started eating. For an omelet!!! Other than that, our waitress was essentially absent. We had to ask her multiple times for coffee, milk, etc. The busers kept trying to whisk away plates while we were still eating. This place is so cute, but I wouldn't come back; it was such an awkward experience, a few of us left a pretty low tip.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.046472538; Sentiment_Subjectivity (from 0 to 1): 0.439962121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Public is my go to restaurant. Always a great welcome at the door, wine advice is beyond, and space and crowd is cool without being pretentious.  This says a lot for Nolita and it likely means they are doing something worthwhile. Now- for the food:  All dishes were perfectly seasoned, and if you have never had an "herby lentil salad" drop what you are doing and go to this restaurant and eat it, now. Scallops are like no scallops I have ever had. How do they make the sauce for these?  Sweet and savory. All fish dishes I have tried are out of this world. I stick to the fish because I need to go light to save room for what is likely the yummiest desserts in town. They change, but the hokey pokey ice cream is a must have, always,; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.286363636; Sentiment_Subjectivity (from 0 to 1): 0.651515152 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 14" is small??? had half sauteed spinach and pancetta and the other half homemade meatballs and mushrooms. it was a hot slice of heaven! cheesey and stringy mozzarella plopped sporadically with a watery but sweet tomato sauce. the crust was crispy from the center to the edges. best of all, those homemade meatballs melted in my mouth. come with an appetite or a lot of people!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.106770833; Sentiment_Subjectivity (from 0 to 1): 0.376041667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 it. The food is generally quite solid - very flavorful, hearty, and satisfying. The ambience and vibe are generally great - very cozy. There's always a crowd, and the bar is fun. A great date spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.321111111; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've heard the legend of the Vietnamese sandwich, but it wasn't until I made my first trip to Hanco that I got to experience it. with so many boring, unoriginal sandwich shops in the neighborhood, Hanco is something special. The house special: the original sandwich, is a great mix of beef, pork, veggies, mayo and more on really fresh bread. The only problem is that I ate mine too fast. Within minutes of leaving I was planning my trip back next weekend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.174234694; Sentiment_Subjectivity (from 0 to 1): 0.512585034 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Large portions, cheap pricing, legitly delicious italian food. CASH only! Get the bolognese pasta and also the Tagliolini ai Frutti di Mare. My BF thought this was the best pasta he'd ever had. Come early - preferably before 6:30pm latest. I came once around 8:30, and there was at least an hour wait. I didn't have to wait at all coming in at 6pm. P.S.Your business will be the ppl next to you's business because this place is tiny and tables are just about 3 inches apart from each other.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.232440476; Sentiment_Subjectivity (from 0 to 1): 0.491964286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Beef Stew with Wonton Noodle Soup.  Chinese Broccoli stir fried in ginger and garlic. Cheap, delicious, and totally hit the spot on a rainy, cold New York winter evening. Highly recommend it.  I'll probably be back soon to try the congee and the roast duck.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.137045455; Sentiment_Subjectivity (from 0 to 1): 0.555568182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's a great Malaysian restaurant.  I always order the curry crispy pancake to start--always good. The first time I came here, my friend had order for me. Everything was good except for the taro plate desserts,  just not my kind of dessert. The cold chicken and fried rice plate was good. Second time, the special Malaysian noodle plate was okay. There was a Malaysian restaurant near the police station that was mediocre, but they closed down. Nyonya is good, try the food. Malayasian food is a influence by Chinese, Thai, Indonesian, and other cuisines. For such a popular place, it's cash only place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.186980348; Sentiment_Subjectivity (from 0 to 1): 0.569935752 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 10 minute wait at 1:30 on a Thursday... SO worth it. Everything was delicious. Dumplings were perfectly cooked, both steamed and fried types. We ordered a lot because we wanted variety. Table was crowded with dishes, large portions and when we got the bill? Worked out to about $7 per person with tip. Couldn't be happier!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.641964286; Sentiment_Subjectivity (from 0 to 1): 0.632142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes its touristy, but it was also tasty. CASH ONLY, plenty of ATMs ready to take your debit card and charge you fees. The service was fast!  I had the traditional pizza with peperoni and sweet itialian sausage.  The crust was thin, crispy and held up the sauce wich was simple and fresh.  The peperoni was the star of this pizza, while the sausage was just ok, spicy sausage would have been better.   I would recommend stopping in for a pie if your in the mood for a NY classic!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.173484848; Sentiment_Subjectivity (from 0 to 1): 0.579437229 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 station house! They have a great food, great service and beer/whiskey selection. Me and my friends loved every food. We order BBQ chicken wings, mac&cheese with smoked chickens, tomato flat bread, and especially we loved their muscles (Friday special menu) sooooo good. Every time we go to station house, we never get disappointed!!! You must go this place when you're around Forest hills!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.335714286; Sentiment_Subjectivity (from 0 to 1): 0.689642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here a handful of times and I'll give the guy this, it's unique.  Bread or crust part is tasty, sauce is on the rustic side, 3 different cheeses is overkill, sometimes burnt crust(it's a hit or miss), and I want to yell out to him, "too much olive oil", but I'd get jumped after saying that.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.191666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There can't possibly be anything left to say that the previous 1,300 reviewers haven't already said....so here's why I like this place: *  $3.00 tasty falafel sandwich! *  $2.00 generous side of baba ganoush with a side of pita! *  FAST service even when the line is out the door (which is always) *  their hot sauce will clean out your sinuses for the rest of the year I'm leaving off a star because they forgot my baklava the other night.  They move so fast to get the orders out it must have been overlooked.  So check your bag of goodies before walking away from the counter!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.08515625; Sentiment_Subjectivity (from 0 to 1): 0.536458333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Potato pancakes were awesome. Slightly spicy, not what I expected at all, but really good. Service at the bar was incredible. What prevents 5 stars? The tourist atmosphere. Every time I've been here its been tourist infested, to be expected given the location. Then I had the original cheesecake for dessert, and it was to die for. Also, as noted in some other reviews, the place is a bit pricey. One person with tip ended up being $53 - admittedly that was with 2 LI Teas in the mix :), but a slice of cheesecake costing $6-7 isn't something that I can really wrap my brain around; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318333333; Sentiment_Subjectivity (from 0 to 1): 0.579166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OK YELP, THE WRONG HALAL CART PIC OF THE MENU IS THE MAIN PHOTO FOR THIS PLACE! LOL.. SOMEONE GOT FOOLED AND WENT TO THE OTHER HALAL CART AHHAHAHA Yes, the OTHER corner, tricks you saying, "We're the same", I bet MANY people who reviewed this place probably reviewed the WRONG one. The one that says "WE THE ORIGINAL" or something is NOT THE ONE. They really try to fool you though when you pass them. They even have the same colors of shirts, similar umbrella on the cart. Obviously people here were fooled. So back to the review, YES THAT RED SAUCE IS HOT! IT ACTUALLY IS HOT. I witness someone pretty much cover his entire plate and we saw him start to eat it, and he got owned and just threw it away. He must have been embarassed to do the walk of shame to go back all the way to the end of the line to order another, as mentioned he just tossed it and left. The line moves quickly though, but don't ask too much questions. The guy had to speed us up telling us "we busy". We don't eat lamb, and that is what we were asking. Basically, IF IT DOESNT SAY WHAT MEAT........ IT WILL HAVE LAMB. On that note we shared 1 chicken plate. It really is good for 2. I understand the hype and the rave reviews. For $6 dollars FLAT, you get a lot of food to eat, and decent/good food at that. Don't expect sit down fancy 5 star restaurant stuff.. I swear some reviewers think that way. For what you pay and what you get, its a great value. The white sauce is a must though. It just brings everything together. I do feel bad for the other halal carts. I will have to try them out one day to see if this one is really better than the rest. But I take it from all the NY reviewers it might be.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.096388889; Sentiment_Subjectivity (from 0 to 1): 0.441825397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretty fantastical loca-vore spot! They get a bulk of thier ingriedients from farms within an hour or two of the city.I ordered the half grilled cheese with fresh pear chutney and cold carrot soup and salad, I think about ths meal far too often. It literally haunts me. Everyone was fresh, flavorful and amazing. I would warn against a full size grilled cheese as the portions are massive.. We also ordered a cheese plate, which had an amazing assortment of cheeses. Waitress was excellent, only downer was sitting outside buried in tourists,lots of yelling across the table. but then that's what I get for eating at lunch time at Chelsea market :P I imagine sitting inside is more peaceful, and possible with good timing and or patience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277546296; Sentiment_Subjectivity (from 0 to 1): 0.731481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place. I love both Frankies, they are great guys. ...I brought my staff here for our 2014 Holiday dinner, and we loved it. Shortly after, I brought a colleague for lunch and we had a great afternoon. Frankie's 457 is a great asset to the neighborhood. The food is beyond expectations...truly outstanding. The staff is friendly, and efficient. And the restaurant looks great too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5775; Sentiment_Subjectivity (from 0 to 1): 0.6675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 definately over-rated.  I don't mind the wait in line, however, what urks me is that now instead of giving you a choice of 1 sauce with your order......they want to you pay for it.   WTF?  The only reason people flock to this place is because of the sauces.  The fries are nothing special.  I've had Ore-Ida fries that were more crunchier.  But the reason I still go is so that I can dip.   I recently brought my wife there on a Friday evening.  The place was packed but we still managed to sit inside.   I liked the holes in the tables into which you insert the cones which contain the frites. Lastly.....they charge $1 for the sauces.  That's overpriced.  Then again.....NYU is nearby and comprises of most of their business.   Will I still continue to go there?  Sure.........if I'm in the area......but it's nothing to crave or drool over. Laterz!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.226020408; Sentiment_Subjectivity (from 0 to 1): 0.660204082 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was told this was great NYC pizza.  I'm about to give up on eating out as everything turns out to be a letdown. Maybe it was an off day.  Didn't like the crust - soggy, pizza was too greasy.  Not enough flavor.  It reminded me of Chicago style pizza, which I'm not a big fan of.  So the search for the perfect slice continues....; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: a delicious falafel and but a bit pricier than others.  the babagonoush is amazing!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.875; 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: To be honest, being Indonesian, I was very skeptical about going to this place. I'm thinking "oh god... Another "Indonesian" restaurant..." After reading upon it a little bit more I was intrigued that the dishes are Balinese inspired. I've always been a big fan of Van Leeuwen ice cream, so I did have a little hope that the food will be as good as their ice cream! So I went ahead for brunch with a few girlfriends and was completely blown away!! We started with the mango mimosa (mango syrup and cava), which was very refreshing and had just the right sweetness. For our meal, being indecisive girls, we ordered 3 entrees to share: Tamarind-Glazed Tempeh Smash - sweet, savory, delicious -umami to the max! This may become a favorite!!! The tempeh was locally made and tasted "fresh" (not dry or too mushy) Ayam Bumbu - the chicken was crispy (not oily or greasy!) somehow it tasted just like the fried chicken from Indonesia.. Well seasoned and cooked. The squash was also a great side that came with it, great texture and flavour. The sambal tomat was unbelievable, did wish it was spicier but still very good! Market Fish Curry - Mahi Mahi was today's special and lightly fried. The one thing that impressed me about this dish is that they nailed it on making this taste like Indonesian curry (not Thai curry, not Indian curry.. BUT ACTUAL INDONESIAN CURRY!!!!) Of course we finished of with dessert! Nothing better than Van Leeuwen ice cream to top it all off!! Definitely coming back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.274695406; Sentiment_Subjectivity (from 0 to 1): 0.588660714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was decent, but not worth the wait. On a Sunday brunch, we waited 2 hours for a table. We wouldn't have waited so long, but the hostess kept telling us we were about to be seated, and going somewhere else means waiting somewhere else.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.011111111; 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: Guys...It opened on 6/8/2012 - 3 days ago.  Give them a break.  No restaurant will be perfect in that time. I love the concept and applaud developing this area.  Seemed way on the expensive side (even if it was convenient, and in the city its over priced).  Would go here again but probably just for 1 or 2. Excellent vibe and decor to the place.  Makes me think of vacation just 20 min from the city.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last night for dinner for my boyfriend's birthday and had a great night! The waiter was really nice and helpful and gave us honest opinions about dishes that we asked about. We started off with the ricotta, which was good but the orange marmalade was a little too sweet. we got used to it though after a couple of minutes. Then we got the beef carpaccio which was awesome, i loved the rye crisps with it..gave it a great texture! We also got the mushrooms which i heard were AMAZING. I did love the dish but the egg was overcooked so the yolk wasn't runny at all so I was a little disappointed. Then we got the spaghetti with chiles which was my favorite dish of the night. the spaghetti was perfectly al dente. We were also comped the beet ravioli which had and amazing cream sauce. there was a really strong beet flavor which i liked but had to get used to at first. Next we got the octopus which I loved and the chicken. i thought the mushrooms with the chicken were too salty, so i didnt really like the dish. my boyfriend agreed that it was really salty but still loved it. after we finished the chicken the waiter offered us bread to use to eat the sauce, which i thought was awesome! i always want bread to do that but have never been offered by the waiter till last night :) we ended with the olive oil cake which was a huge hit. neither of us had tried that before but both loveddd it! overall the food was great, wine was great, and the night was great! I would definitely go back here; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.375900901; Sentiment_Subjectivity (from 0 to 1): 0.664864865 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the original. Only go to this one. Just follow the long lines!! The rice is yummy and the lamb meat is fluffy. My friends that don't usually like lamb loves this plate. Make sure to get a lot of white sauce and beware of the red sauce. The wait is worth it. I can't wait to go back for more!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.129829545; Sentiment_Subjectivity (from 0 to 1): 0.38989899 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've never had bad food or a bad experience. Summer time is great with the back open. Food is awesome!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.066666667; Sentiment_Subjectivity (from 0 to 1): 0.597222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute spot that I hadn't heard of. Got a picnic thing off of Gilt City from Gottino. The food was good and it provided a great opportunity to check this place out. Will definitely be back in the future.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My boyfriend introduced me to Joju and I am now obsessed. Joju has THE BEST bahn mi sandwiches! I always get the #3 BBQ Pork or #4 Beef Bulgogi with a fried egg. I've also tried #9 Joju Monster. Nothing here disappoints.  Everything is so flavorful, crispy & warm. Definitely beats those bahn mi houses in the city. Don't forget to get a side of Kimchi fries with a fried egg!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.275; 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: We went there for dinner this past Saturday night around 8pm, and got a table for four with 10 mins of arrival, even though initially we were told it would be about 30-40 mins. They have a nice cozy setup with about 5-6 tables (for 4-8 people each) in the basement, which also houses their wine collection. Nice and softly lit with average noise levels downstairs. The bar area at street level is noce however, if you sit for dinner at one of the tables on that level, the noise levels might be loud. Wine: We shared 2 different bottles of wine amongst the four of us: a Sangiovese and a Chianti riserve and they were both amazing. Both bottles were under the $42 range. Food: We had the Gnocchi with cream sauce, Shrimp with Pesto, Brodetto Pesce (a mixed seafood soupy dish), and the Paperdelle with veal. Both the pasta dishes were out of this world, and loved the seafood soupy dish too. For dessert: we shared the strawberries with fresh mascarpone, and gelato - vanilla and chocolate (they serve il laboratorio del gelato), and enjoyed both!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.216071429; 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: If you are looking for inexpensive, down to earth and high quality quite dinner, this is it, folks! I particularly like the beef stew noodles. Tried many other places; this is the best. The duck is also very good. You may share a table, but what the heck, food is so good you don't mind. After one bite of the beef stew, I am in gastronomic nirvana already!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.421388889; Sentiment_Subjectivity (from 0 to 1): 0.464652778 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quite possibly  my favorite restaurant on the upper west side. I would have given it 5 stars but for the noise level - it can become quite jarring on a weekend evening. The red sangria is among the best I have ever had. The matador combo is a steal - chicken cooked to perfection and the sides are always good. Their seafood entrees are also excellent. Try the ceviche - either one, both have a clean, crisp, fresh kick.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.351666667; Sentiment_Subjectivity (from 0 to 1): 0.546666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I know this place just opened, but the menu was pretty bland and pedestrian for the prices and the portions.   Yet another eatery done up in the quintessential Williamsburg salvag-chic style...  We ordered the mussels for an appetizer for eight dollars and got eight mussels lined up with no bread.  They were good enough, but can't compare to the 5 Leaves.   Muscles are notoriously inexpensive. So eight mussels for eight dollars better be high concept.    We had noodles with clams for dinner, one of four entrée options. Again, it was nothing to write home about and overpriced.    I won't say this place is bad. It's fun it's a good atmosphere, but there are so so so so so many better places to eat in a half-mile radius....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249393939; Sentiment_Subjectivity (from 0 to 1): 0.585454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For some funny reason, almost all my family and friends who visit me in NYC try the Kati Roll Company and then become freakishly obsessed with it. I can see why. It's delicious, reasonably priced, fast and has the comfort of simple, familiar Indian food. While flashier Indian cuisine like garlic naan and tiger prawns and butter chicken tend to steal the show at most places, us Indians have a strong appreciation for fresh roti/chapathi, flavorful paneer and some onions/pickle to top it off. My favorite is the paneer tikka roll, but I've heard great things about the channa roll and the aloo roll. I've probably visited Kati Roll at least 10 times this summer with the influx of friends and family visiting, and I'm surprisingly not sick of it yet!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.256547619; Sentiment_Subjectivity (from 0 to 1): 0.70297619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To be quite honest, I was planning to eat at Smith & Wollensky tonight.  I went to S&M and find out that the waiting time will be somewhere around 35min so I decided to leave and settle with a restaurant near by.  Now, I believe that this was fate.  Everything happens for a reason.  I'd have to say...WOW!  This place is delicious!!!!  Thanks to Smith & Wollensky for not having the table open for me when I arrived. I ordered the caprese salad and it was good.  This was a ordinary good caprese salad.  Then came the pasta dish (fettuccine w/chicken, mushrooms, oil, and garlic sause) that I ordered!!  OMG, it was love in first sight and bite.  The pasta was al-dente and with the sause it sucked in, it created a flavor that took my mind to heaven (my brain was going under the process of Big-Bang.)  The atomosphere of this restaurant was like an at-home trattoria you'll find in the Tuscan area of Italy which made my heart relax and enjoy the food even more.  Oh yeah, and the best part is...for NYC, the price is very sincere.  Delicious food with a reasonable price.  What else do you need? The only reason I didn't give this place a 5-star was because the service was sloppy and kinda slow.  Still even with that aspect, I will still be coming back here again and again.  Yay for this restaurant's location being near my school too :); Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.352651515; Sentiment_Subjectivity (from 0 to 1): 0.578787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There are two things I spend probably 50% of my day thinking about...Indian food and Indian women.  And, with both, you can always tell the quality based on their flava.  In this case, I tried their palak paneer.  Very tasty, I've tried the comparable dishes from literally every single nearby restaurant and I'll go ahead and rate this one as the best.  In texture and consistency it's very similar, but where I thought it stood out was in it's spiciness, which added an additional level of flavor that I haven't gotten to experience before in the paneer dishes. I've been looking for a late night paneer place, because I can eat it on low-carb, and this place just jumped to the top of my list.  Now all they need are a few cute serving girls who dance around wearing bikinis and a few poles for said girls to incorporate into their dancing and to change their name to "South Indian Flava."  But I digress, the food I tried was awesome, the staff was nice and the portion size was big enough it filled me up.  Pretty much as #YOLOSWAG as it gets.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242410714; Sentiment_Subjectivity (from 0 to 1): 0.520892857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seeing that Arctica had closed or rebranded (it's the latter; the bill still showed up as Arctica on my credit card statement), I decided to come here for dinner last weekend to check out the new place and see what it was like. It's definitely lower-key than Arctica used to be - no more TVs at the bar, although the rest of the area is still laid out the same way as before. Although it pitches itself as 'rustic' American food, it seems to give off an Irish vibe...mainly from the numerous quotes from Irish literary figures, as well as the thick accent of our waitress. Speaking of service, getting seated was easy, but service was inconsistent at best; I got the feeling we were being paid attention to in a halfhearted manner. Additionally, OpenTable noted that someone canceled our reservation, even though we showed up on-time and specifically noted at the door that we had a reservation. When we inquired to our waitress, she simply forgot/ignored the inquiry, and the person at the front seemed clueless about how their reservation system works. As for the food - overall, it was quite solid, but prepared a bit inconsistently. The mussels were pretty solid; the white beans are an interesting addition that add a bit of different texture and flavor to the dish, while the chorizo added a well-placed greasy, meaty flavor. I ended up going with the dry-aged hangar steak...very flavorful, a tribute not only to the quality of the meat but also to the very well-executed bone marrow vinaigrette, which added a really nice rich flavor. That said, the charred cabbage was a bit out of place, and the potatoes were nothing special. The dish itself is an exercise in poor plating...throwing a piece of charred cabbage on top - where it is most prominent - doesn't look very appetizing. Additionally, the meat was cooked inconsistently, with certain pieces being near well-done, while others were medium-rare at best. My fiancee had the scallops, which were very well-done in their own right. However, the risotto didn't have good consistency, and the flavor was a bit diluted. In all, there were good things to like about dinner, but it wasn't done consistently across the board. I'd probably come back again to try out some of the other items, but at these prices, the service has got to be better. If it doesn't improve, it's not going to be a place I come back to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.197539996; Sentiment_Subjectivity (from 0 to 1): 0.414027386 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hearth is a must! The salad with white anchovies is the perfect summer appetizer. The Duck breast with confit is delicious! The fois gras dish provides the perfect balance of tart, sweet, buttery, and bitter, between all its accouterments. And the pork loin is truly satisfying, served with yummy sweetbreads. The deserts are good. But nothing out of this world. Overall I would say that Hearth is a master at combining flavors and textures. Everything is a joy to eat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.595 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 freaking amazing but the cockroaches are everywhere..... The cockroaches are more than the customers....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; 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: You can't go wrong with fries, right? After all the reviews and different sauces that they offered I had to try it. We ordered regular sized fries with three sauces; lemon dill, mango and bleu cheese. My favorite was the mango sauce, it was sweet and tangy. Right up my alley! Our server was so sweet, he gave us samples to try as well. Although, those were forgettable. If you like fries, you should swing by!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.079761905; Sentiment_Subjectivity (from 0 to 1): 0.605372405 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Highly overrated overpriced and suited for yuppies with no sense of taste or ability to distinguish technically mastered cooking  from line cook quality cooking.  We ordered the goat confit, the chorizo and garbanzos, sweetbreads,  razor clams and the cheek tapas.  First came the sweetbreads which if you know anything about, has a consistency and taste that is extremely delicate and light tasting and as such should be appreciated for what it is not made to taste like an over salted chicken nugget.  The goat confit while tender was again oversalted.  Then came the  razor clams, overcooked to the point of being rubbery, swimming in butter, and being over garnished on top while the bottom clams had nothing at all.  Lastly came the cheek and the chorizo and garbanzos.  The chorizo was so salty I could not even chew it and spit it out.  The garbanzos were undercooked which for me was the final and ultimate sin.  I don't know if they use some canned garbanzos and lightly boiled them or  simply boiled dry garbanzos for an hour but chickpeas need to be cooked for several hours in a rich stock to absorb the flavor not taste flavorless and expect the sauce you immerse them into in the dish will disguise this.  The cheek while tender was so over sweetened it made my jaw hurt and can only be described as sickeningly saccharine.   I understand this is not traditional tapas but I still expect high quality cooking techniques in addition to the quality of the food and while the quality of the food was obvious, it was ruined by heavy handed cooking with ingredients that require patience and finesse both of which the chefs present last night do not have.  We walked over to Cafe Mogador to eat some food that thankfully settled my stomach which after leaving casa mono felt heavy even though we had barely eaten three small tapas between my partner and I.  This review is based on both of our experience one as a spaniard who has grown up on tapas and the other from a head chef from the  waldorf astoria.  I recommend the chefs from last night go work at some cheap steakhouse because that is essentially how they treated the ingredients they were cooking with and hire someone who truly understands the ingredients appreciates them for what they are.   Also, when we first came in we were seated in a corner near the kitchen where there were many flies landing on us and the table.  I requested to be moved somewhere else as this is highly unhygienic as we all know flies land on feces and transfer that to wherever they land.  I should have seen the lack of attention to this issue as a greater insight the lack of attention to detail at this restaurant.  Very disappointing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.025877193; Sentiment_Subjectivity (from 0 to 1): 0.502073935 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 happened to this place? Absolutely horrendous male host insisted on tapping on his screen and did not look up even when we were standing right in front of him. We were seeking a table for brunch on a Saturday, around 2:00 p.m., and was ignored for a good five minutes. Was eventually led to a table by the door, where the setup was such that there was a long line of tables cramped together. There was no elbow room and you could very clearly hear other tables' conversations. I was appalled. It was really the restaurant trying to pack in as many sardines as possible -- open your wallets, folks. Oh, sit down and shut up, too. We did not order and just left. It was a horrifying experience and we will not be coming back. The couple that came in immediately after us also complained about the seating arrangement, but we did not see if they also left. NOT RECOMMENDED.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.016570593; Sentiment_Subjectivity (from 0 to 1): 0.452522974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Service is great! Came here for brunch on Sunday. The hostess was very nice. I wasn't able to be seated til my party was there. But the hostess remembered me so seated us right away. Must have the pumpkin pancakes! they're delish!!!! Absolutely great. The atmosphere is  cozy and the nosy level isn't bad. Would definitely go again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.38149135; Sentiment_Subjectivity (from 0 to 1): 0.697172619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here before, by myself, early in the evening and had a great meal (best salad in NYC) and the best service.  Went back two weeks ago with friends (roommate and niece).  Had an utterly miserable experience except for the food.  We waited for a table.  They put us on the porch.  We waited a very long time for menus.  The server seemed surprised we wanted menus.  We ordered beverages that never came.  Finally, after nearly a half hour of trying to flag the server (the restaurant was crowded) - after the people next to us - who came in 15 minutes after we did - had already been served their meal... I got up and asked for our drinks.  It took another 15 minutes to get them.  Nothing fancy, lemonade.  Then a long while after that - after those same neighbors were already on their way out - and after a rat ran up the side of the restaurant wall - our food arrived.   It was delicious but criminy people we had been there over an hour.  The key lime pie for dessert was so wonderful it almost made up for the wretched service.  It was like our server not only didn't understand the concept of service, I don't think she had ever been in a restaurant before.   I'll chalk it up to a bad night and go back...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.158859649; Sentiment_Subjectivity (from 0 to 1): 0.548859649 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came here for dinner because we love thin crust pizza.  While the crust here was perfection, crispy and light.. what was on top of the crust was nothing to write home about.. or write to anyone for that matter.. Pizza 1 = disappointing:  san marzano (tomato), buffalo mozzarella, and basil pizza.. There was literally ONE leaf of basil at the center, the cheese covered the entire pizza, there was barely any tomato sauce and no actual tomatoes.  They used high quality ingredients (san marzano) but this thing had zero seasoning and zero basil flavor with one leaf. Tasted like mozzarella on plain crust. Pizza 2 = bland:  Artichoke, mushroom, san marzano, fior di latte mozzarella.  At least the toppings were present, but the pizza had zero other seasoning, so no popping flavors. The wine menu was nice.  You can order a quartino (~250mL) if you don't want to do the entire bottle.  I would recommend the chianti on the red list, which was soft and flavorful. The ambiance was very nice, although I wasn't a fan of the the lounge style music. I won't be returning to Emporio for thin crust pizza.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.037335601; Sentiment_Subjectivity (from 0 to 1): 0.505022676 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Spanish tapas restaurant. Love the decor, and the atmosphere as a whole. It definitely has a very welcoming feel. It looks like a hole in the wall from the outside, but walking further in reveals a more open space. Love love the food! Everything is new and different to me! Although I'm not a food of eating what I can't say, it helps when it comes only in small bites. Trying EVERYTHING is a must! It all has this great burst of flavor, you CANT stop! Everytime I go I try something new, some are better than others, but it's just a matter of preference. I recommend trying everything on the menu!   As great as this place is, its definitely not budget friendly, with the portions (tapas) being so small, it's easy to spend a lot without really feeling full. But besides that itsy bitsy factor :) it's Spanish food at its best!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.279950366; Sentiment_Subjectivity (from 0 to 1): 0.504911181 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mediocre, expensive, bad service. Just a waste of time and money.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.475; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Totto ramen is chicken based rather than pork based like other ramen places.  I was hesitant at first since I love the pork base so much but I was surprised by how flavorful the chicken broth actually was!  The noodles are similar to Ippudo, both al dente perfectly cooked.  The pork is charred which adds a nice smokey flavor but was a little too fatty for me.  I ordered the extra spicy where they basically give you a little cup of szechuan hot oil with peanuts and garlic that you can add to your noodles.  It was very spicy but very good!   I also ordered the yaki uni don, torched uni rice bowl, that was sooo good!  The uni was perfect, torching it made it slightly smokey, served in a small bowl of rice with pickled salted cucumbers and seaweed.  It was delicious and unexpected at a ramen place.  There is always a line outside, but the wait was not too bad on a Tuesday afternoon but it's tiny inside (largest is group of 4) and definitely feels like Tokyo.  love it!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.129444444; Sentiment_Subjectivity (from 0 to 1): 0.590722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food! Amazing place!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.75; 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: Absolutely the best. I was fortunate enough to come here once before, so on a recent trip, my husband, the pizza lover, wanted to go as well. We swung by for a pie during lunch and since it was his first time there, we went with the large 18 inch standard margherita pizza. Thanks to the fast cooking coal oven, the pizza arrived just a few minutes later, just as I remembered it, with the individual slices of mozzarella splashed haphazardly in the sauce and with just the right amount of basil sprinkled across the top. Upon removing a slice, there was no slippage of toppings and upon examining the pizza's beautiful crust's underside, you could both see and smell the markings from the coal oven. When you visit, don't forget that Lombardi's doesn't accept credit cards, so make sure you have cash. I'm absolutely convinced that pizza doesn't get any better than Lombardi's and my husband is now a converted fan as well!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.23125; Sentiment_Subjectivity (from 0 to 1): 0.491825397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! When it's only a small group of us, we normally get lucky and get a spot at the bar or a table. My top favorite things to order are: - Meat + Cheese plate: Best one I've had in the city. They actually have a guy behind the bar that cuts everything fresh. - Ensalada Mista: Delicious and refreshing. I always try to replicate this salad at home but it's tough to do. - Regu Tagiatelle: all the pastas are good but this is my favorite one; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.316840278; Sentiment_Subjectivity (from 0 to 1): 0.688541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 haven't been here in a while, but this place makes me nostalgic. I used to come here when I went to NYU and worked around the area. It is a tiny hole-in-the wall, decor is nothing special, but their Vegetarian Pho soup is AMAZING!!! And what's great about it is they serve it with vegetarian broth, not the beef stuff. I used to always get it with soy protein, and it was so great and hot and filling and delicious. Came with bean spouts and other delicious veggies as well. Writing this is totally making me want to go out of my way to the East Village and have some of their veggie pho since it is sooo good. To finish off my meal I would always get an iced Vietnamese coffee, which was sweet and hella caffeinated. Plus, the cute old man that owns the place is so nice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.427008929; Sentiment_Subjectivity (from 0 to 1): 0.743526786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: During the summer, my friends and I always come for the Spumoni and their Sicilian slices.  On a hot day after playing sports we would cruise on over and grab an outdoor seat with some spumoni and just hangout and chat.  There are plenty of seats outside so you wont have to wait for anyone to get up. Their pizza is great and the service is fast.  The Only problem I do have is that the tables are always sticky.  The Eat in Restaurant is a bit nicer but it was a nice day and we decided to sit in the outdoor area.  The food portions were huge and most of us had to bag it up to go.  But overall it was a nice experience and good food in the indoor restaurant as well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.368181818; Sentiment_Subjectivity (from 0 to 1): 0.659090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first time i came here, it was the day before my birthday. and if memory serves me correctly, i had a good time. the next time i came here was last week on a coolish labor day weekend sunday. my friend and i had a couple beers, split the 2 for $5 pulled pork sandwich and had a nice little time. i really really like red hook, and seem to always NEED a reason to go down there. i think brooklyn ice house is a good reason.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.210694444; Sentiment_Subjectivity (from 0 to 1): 0.358888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thought the food was great. I had a the stuffed artichokes as an appetizer. Then we had gnocchi with truffle, it was good. My only disappointment was the service was so so. She did suggest a nice white wine that was really good. But after a charming start of the meal it went downhill. The ambiance was amazing. I would definitely go back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Expensive!  Delicious!  Tiny!  We arrived and were quickly escorted to a tiny (1 foot by 18 inches) table down the narrow path between the coffee bar and the patrons.  I had a panini with mozzarella, olive paste, tomato and prosciutto.  Yum.  I didn't have a dessert, so I must go back for one soon based on the other reviews.  Thanks for finding this one for me, Yelp!  I use a wheelchair, and my friend helped me up the one step in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.047777778; Sentiment_Subjectivity (from 0 to 1): 0.446388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a few months ago for Friday night dinner & drinks w/ a friend.  Really enjoyed all the space (so rare in NY bars!) - stretched out my legs, spread out my belongings, gave my coat and purse their own bar stools - felt like a queen!  Also loved the multiple floors, plus the big screen TVs downstairs that played sports games around the world.  They were a good visual distraction while we chowed down on our burgers.  The burgers and fries were nothing to write home about, but still better than your typical subpar bar food.  The waitresses were great!  Friday night was busy, but it didn't get uncomfortably crowded. It does gets loud downstairs, particularly in the corners where the speakers are based, so move toward the middle if you want to have an actual chance of hearing each other.  Great ambiance - chill, laidback and friendly, but a step above your typical sports bar.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.188111111; Sentiment_Subjectivity (from 0 to 1): 0.439888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really enjoyed Gila's and am glad I discovered this place.  It is true what people say about Gila and the charming service here--you feel like you are part of the family. That, plus a strong iced coffee, and I was in a great mood for the rest of the afternoon. I ordered the 3 dish lunch platter becuase I wanted to sample some different things, but it was a little hit or miss.  The grilled eggplant was good, but it was pretty cold, seems like it had been in a frigid cold fridge.  Gila was very sweet about asking how I liked my food, whether I liked zaatar, etc., and the hummus came out with tons of zaatar--this was great.  The falafel was interesting...it was monochromatic, didn't seem to have the usual parsley note, almost was kind of like a veggie schnitzel/garbanzo burger. I will definitely come back and try other sandwiches.  The 3 dish lunch was too much food!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211992754; Sentiment_Subjectivity (from 0 to 1): 0.693623188 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with some high as heck expectations and was pretty let down. If I had gone in with low expectations, I probably would still give the Spotted Pig 2 stars, though. It was just not as good as it was hyped up to be and overpriced. I met my friend here at night; probably during a weekday (this was in October 2011). It was packed, but there were 2 seats at the bar, and so we decided to just eat there. Bartender was busy and a little curt with me. We shared the chicken liver toast which wasn't too bad, but not great. It's pretty heavy. My friend got the Gnudi Balls and I got the burger with shoestring fries. I'm not going to lie, I've had much better burgers. The gnudi balls were so-so. Overall, the theme here is very rich food, super dim lighting, pretty crowded. Piper on "Orange Is The New Black" mentions The Spotted Pig, and I just don't get it. If I were her, I probably would have just gone to Shake Shack for a good (and cheaper) burger and spent my money on better alcohol :P; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.112811448; Sentiment_Subjectivity (from 0 to 1): 0.588545875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there as was told this was one of the best Italian restaurants in the Mid-town area and we were not disappointed.  Wonderful food, many dishes offering fresh home-made pasts.  Was actually surprised how reasonable the prices were. Would highly recommend (but make sure to get a reservation); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4135; Sentiment_Subjectivity (from 0 to 1): 0.597888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place! Very nice appetizers and always hot and fresh, fish & lamb chops are also very nice, the mood and the interior is also well done.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.547; Sentiment_Subjectivity (from 0 to 1): 0.79 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My boyfriend and I came here for our date night in New York and I absolutely loved everything about this place. We came in for an early dinner because we needed to catch a Broadway show right after. I informed our waiter of our time predicament and he did everything he could to make sure we got to our show on time. Apparently they have this thing on Sundays called Sunday Supper where you can create a 3 course meal for a set price and that's what we ended up ordering. Our waiter made sure to keep an eye on us so that as soon as we were done with one course, the next would be immediately brought out. We had the Hiramasa tartare and bone marrow for appetizers. Both were excellent, but if I had to choose between the two, I would opt for the tartare. It was so fresh and light. I cleaned the entire plate.   We got the Chicken Under the Brick for 2 as our main course. I was reluctant to order this because it's chicken and honestly, I didn't think you could do that much with chicken. But I had to issue my boyfriend an apology because that was the best chicken I've ever had. It was so moist and every bite was so rich in flavor. It made me a Marc Forgione fan! On top of that, the portions were huge. There was probably enough to feed a small family in Africa. We ended up taking half of it to go to snack on later that night. For dessert, I don't remember what I got because his dessert was so much better. He ordered the banana pecan pie bread pudding, which was recommended by our server. Even though our server offered to wrap up our desserts to go so that we would make it to our show on time, we decided to enjoy it there. We were only suppose to have a few bites and head out but the dessert was so amazing, we stayed  until all of it was gone. We still made it on time so I think we made the right decision. ;) Finally, what made this place complete for me, besides the food and impeccable service, was the decor and ambience. The restaurant was sort of sophisticated modern without being pretentious. I loved that this was a Michelin Star restaurant and yet they had hip hop playing softly in the background. Well done, Marc Forgione!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.200036719; Sentiment_Subjectivity (from 0 to 1): 0.610208376 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dear friends, If you are looking for authentic Dominican/Puerto Rican food... THIS IS  NOT THE PLACE TO GO. Let me start by saying that, as soon as you arrive, you are greeted by an "Argentinian" hostess, and then by an "Argentinian" waiter with no clue of what a typical mofongo  is made of or taste like, just to give you an example. Sadly, they don't know much about what they are selling and serving. I mean... c'mon! Take a minute to study your restaurant's menu! Ask about what each item means or how it is made! Second, no one in the kitchen, as I learned later, was of Caribbean origin. The cook was Mexican and the rest of Central American and South American background. Now, you may think.. so what? As long as they cook well... thats what matters right? But when you order "bacalaitos" and you get two tiny smashed- dry bunuelos de bacalo from last Christmas, and a mofongo with chicken that tastes like an over cooked and over heated venezuelan arepa with, actually, no chicken couple with rice and beans that taste like those you get at an American dinner... you realize you are definitely in the WRONG PLACE. Trust me, I am Puerto Rican. I know how to cook a simple mofongo. It is NOT that difficult. But this place really really sucks! Oh... and dont order a "Tres Leches" for dessert. You are gonna get an hybrid between an Hindu and Amercian solid rice pudding instead. WORST PLACE TO EAT authentic Dominican/Puerto Rican food in Brooklyn. Please take my advice and go somewhere else.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.095665578; Sentiment_Subjectivity (from 0 to 1): 0.455445326 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 did not realize it was family style, but by the time we sat down it didn't matter much since we had a few drinks during the 45 minute wait on line. While the menu online offers a variety of food choices, it turns out that you are subject to whatever they have for the day on the actual menu on the wall. Definitely an excellent whiskey and beer list. And the food is AWESOME! So even with not being guaranteed the full menu shown online, it's worth it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.242777778; Sentiment_Subjectivity (from 0 to 1): 0.367222222 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AMAZING pizza and great mixed green salad! Everything was super fresh. A guilty must have if your in the area!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.16547619; Sentiment_Subjectivity (from 0 to 1): 0.623809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Private dinner on a secret floor behind an umarked door.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really great cream of tomato soup with chicken! Panini's are decent sized. Two people could share. The dessert looked really good. Best part, it's byob! Cute cafe, glad there's finally a place like this in the neighborhood! I took off one star Bc my friends chicken sandwich was not very tasty nor the salmon with goat cheese. But will definitely be revisiting!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.201515152; Sentiment_Subjectivity (from 0 to 1): 0.728787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My GF kept talking about this place. Inciting a Saturday outing to Bushwick, and convincing me, that Roberta's would be the star attraction. First thing you notice about this place, is how incredibly hip it is. The people, and the clothes, make Portlandia look conservative. Tight rolled up jeans, canvass sneakers, and cool facial hair abound. Plus half the guys have wonderfully coiffed hair dues, so I blended in perfectly. We arrived at 4:00 PM, with a rotating amount of people who would be joining us for dinner. My friend was starving, so we decided to wait in the backyard, which was super chill. I had the frozen gin and juice, which was priced a little high, but gave me a nice buzz, so maybe priced just right. My GF had the iced coffee, which was flavored with Chicory, and tasted quite simply divine. We ordered two small appetizer pizzas. You can only order from the appetizer menu while sitting in the garden area, so if you are hungry, this won't do the trick. The two small pizzas were quite good. Especially the small Margarita one. The spicey olive oil they use gives the pizza the perfect level of zest. Just spicy enough to have a kick, but not so hot that it is uncomfortable even for a sensitive palate. (I really would have liked to try some of the other appetizers here, like the bacon cauliflower). While we were in the backyard, taking in splendid views of young hip loft spaces, a wedding was happening, right next to us, in the fenced off garden. Mid way through my first drink, a lovely  bride, was standing right next to me, waiting for the moment where she would enter the garden and make her wedding vows. We also got to see the newly married couple exit and hug before going back. Apparently there is an event garden, which is also where Robertas gets some of their ingredients. So far, so cool. My GF was right, this place gets and A for ambiance, and is a great place to laze away a Saturday in Bushwick. (Favorite quote from nearby building, "God loves side boob.") So why am I giving this place 3 stars, and why are you reading this review? WELL THE FOOD silly. The food was good, but underwhelming. I tried 3 different pizzas, and the crust was delicious, but over charred, and tasted slightly burnt. A review below me nailed it. The first bite was like a taste explosion, but by the end, it was like eating slightly charred toast. The bread reminded me of the first time I ate at CO. I had 2 burnt pizzas. I assumed the pizza wasn't great, but apparently, I just had bad luck. I believe they had just changed the wood for the oven, so the temperature was probably to hot. I assume the pizza is way better when the coals burn down, letting the pizza cook slower. The pizza was still delicious, and I would go there all the time, if it was next door to me, but definitely not worth the trip just for the pizza, or even for the cool ambiance, which can be achieved in numerous other places in Brooklyn. But if you find yourself in Bushwick, definitely worth a visit, for a fun tasty time. We also had a broccoli salad, which turned out to be the biggest hit at the table, and I mad the mistake of ordering the squid ink pasta. What a giant piece of dog dung. Single-handedly reducing the stars for this place by 1. It was the most expensive single item on our bill. Tasted awful, and to top matters of, there were like 10 pieces of pasta in the whole dish. For 17 dollars, this dish must have been a joke. Seriously, imagine 10 Rigatoni in a plate, drenched in squid ink, and you will see my point. I was sure glad I filled up on pizza by the time this came out, or there might have been some issues. All in all a really fun adventure. I would come back again if I was in the area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183757743; Sentiment_Subjectivity (from 0 to 1): 0.558855014 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: decor was nice and tried to emulate a japanese tea house. The food was okay, was not anything special, i ordered the salmon toast and the desert sampler. The salmon toast although a pretty unique idea, was pretty bland and consisted mostly of bread. The best thing about this establishment was the deserts and their use of traditional asian ingredients such as sesame, taro, red bean, matcha, infused with clearly very western deserts. If you enjoy a fusion desert themed restaurant that really is incredible cutesy and gimmicky, this might be a place for you to try. Nothing really blew me away, everything was decent at best here; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.292006803; Sentiment_Subjectivity (from 0 to 1): 0.524829932 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I didn't have Tina's, I would have a hard time keeping my job. And that is why it gets 5 stars from me.   The baked chicken, perfectly cooked white rice, mojito blanco, and platanos maduros are that warm hug I need at 8pm reassuring me that another cold evening at the office will be ok; assuring me that there in fact ARE silver linings to every dark cloud and late night.   Seriously, I haven't had white rice this amazing outside of my  grandmother's kitchen.  The chicken is usually juicy and tender (but when dry just slather it in mojito blanco - I agree that the salsa verde can be a bit too spicy).  The beans leave a lot to be desired - just not terribly flavorful (but in no way do they knock any fraction of a star off).  I get them in a separate container to make sure plate is entirely full of white rice and not wasted on just ok beans.  The platanos are so sweet and ripe and gooey - yum (where the hell do they consistenly find the blackest/ripest bananas?!). I've had the pork, it is also spectacular.  I could go on and on, but Tina is waiting for me right now. Thank you Tina's and thank you seamless web! (hug back) - sorry it took so long.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.081260263; Sentiment_Subjectivity (from 0 to 1): 0.5356185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Some of the best pizza I have had in NY ever!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Penelope's was a tolerable place for brunch.  The service wasn't that great but the food made up for it.  Our food came out surprisingly slow for their staff levels.  There was a bit of a wait, but for Sunday morning it's expected.  Food was your standard breakfast fare with a little Italian twist, meaning they included the word "pesto" in the title of some of the menu items.  I'm sure I'll return as it wasn't so horrible but I definitely won't suggest it next time I roll out of bed on a Sunday morning.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.02875; Sentiment_Subjectivity (from 0 to 1): 0.443888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lasagna quarto fromaggio, was pretty good. They didn't over-do it on the cheese which i found to be really surprising, most people pile it on thick but this was just enough. Also it is not a huge dish so i wouldn't suggest sharing. Sit in the "garden" it is really cool back there with these huge lights and glass ceiling.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.24; Sentiment_Subjectivity (from 0 to 1): 0.6025 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 CHEAP MEAL.  EVER.  8 dumplings for two bucks?!  Umm..  yea - and they are delish to boot.  You must try the scallion pancake veggie sandwich.  So good. We got 10 dumpings, a sandwich and a steamed bun and it was $8. Wow.  Best after bar food, best food anytime...one of the best deals in NYC.  I am thinking of it now as I write....mmm.....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.757142857; 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: The food was amazing. Loved the goat cheese balls, meat balls and duck and figs were out favourite!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this place ambiance is very nice. But their food was amazing...they r not cheap but I've had bolognese pasta n parsnip as side, I never knew parsnip can taste that good!! I thought I was  eating a bowl of dessert. Great place for date or with girl friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.595; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My wife and I had a double date on valentines day here. We all LOVED this place. Great vibe. Great food. Excellent service. My wife is pregnant (so was obviously not drinking) the bartender asked her what flavors she likes/doesn't like and he made her a nonalcoholic mixed drink that was fantastic! It was very thoughtful, the type of thing that sets a restaurant apart from all the others.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.465333333; Sentiment_Subjectivity (from 0 to 1): 0.61 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very cool, classy, but comfortable bar w/ exposed brick, and lots of containers of fresh cocktail ingredients on the bar - raspberries, blackberries, mint, citrus, candied ginger, etc.  There was great music playing, and the bartenders or mixologists were entertaining and talented at their craft - really great, hand-crafted cocktails.  Pretty average price for NYC (daily specialty cocktail $11 - on this chilly night, it was a hot toddy - others $13, some $15).  I had the Tortuga w/ dark rum, ginger, muddled lemon, lime, orange, topped with candied ginger, and it was incredible - the big slice of candied ginger was one of the tastiest I've ever had. Food looked good, too.  This might be one of my new favorite bars in the city.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.31007177; Sentiment_Subjectivity (from 0 to 1): 0.671028708 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stopped in after a show at Radio City Music Hall. My husband ordered veal with eggplant and mozzarella and I had minestrone soup. The veal was extremely tender; it was pretty good, just under seasoned. My soup was different than minestrones I've had before (this had peas and other additions), it was ok, but not worth $8.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.553125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great restaurant that reminds me a lot of a Parisian bistro - small, cozy, attentive staff, and consistently good food.  The mussels were excellent and a great deal.  Steak frites was excellent although the fries were a little too salty. I will definitely go back.  Cheryl's is a great neighborhood restaurant.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.442045455; Sentiment_Subjectivity (from 0 to 1): 0.672727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there on wednesday at 1:45, still waited for 15 minutes. The ramen was not bad, but I definitely don't think it's worth a wait over 20 minutes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.216666667; Sentiment_Subjectivity (from 0 to 1): 0.422222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything here is served family style. I went here sort of knowing this. I took my 2 year old and my father in law and went 8 months pregnant in the pouring rain. My husband got called into work last minute, but I was dying to go here. I ordered the Lobster Fra Diavlo. The lobster was more than 5lbs and the sauce wasn't spicy at all, tasted gross actually. The service is rude and the place is loud and simply stinks; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.014814815; Sentiment_Subjectivity (from 0 to 1): 0.362962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh you flaggers wanna play huh? Calling this place Shitaly wasn't descriptive enough? Okay, let me elaborate for you: S catterbrained design and crowds make for inefficient shopping H ave a floorplan* on hand or you will get shoved by grumpy old ladies if you're lost I s that really dried crust in my fork? T oo crowded, even for the market on a Tuesday night A dvice: don't come here hungry unless you are ready to wait L ittle portions for a big pricetag Y es, I'll stick to Grand Central Market *Here, because I'm so nice you assholes nypost.com/rw/nypost/201… Is this sufficient enough of a review?!?!?!?! I'll come back for a 4th time in a few months and update this fucking review. Have a nice fucking day.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.067647059; Sentiment_Subjectivity (from 0 to 1): 0.579411765 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dedicated to all the carb lovers out there! It's been over 2 years since Angela and I started going on monthly noodle dates. While we still love ramen, we've decided to branch out to other carbs, like potatoes! Located in Greenwich Village, Potatopia is a little fast food joint that only serves potatoes. Perfect for carbaholics like myself. At Potatopia, you can build your own meal from a selection of 9 different potato styles, ranging from smashed potatoes to au gratin, and an assortment of toppings, proteins, and sauces. Choices are nice, but they also offer 6 signature meals. Believe me, it was hard for me to even decide between those 6 options. Angela ordered the Curly Sue ($6.50). Curly cut fries, house salt & pepper, pepperjack cheese, parmesan, jalapeño, garlic, scallion with chipotle ketchup and garlic aioli. Looked pretty good, but goodness, they could tone down the sauces a little, especially as the potatoes themselves as already well seasoned. A bit too salty for Angela. I ordered the Comatoser ($7.75) and asked them not to include the bacon. Potato skin chip, house salt & pepper, cheddar cheese, asiago cheese, pepperjack cheese, scallion, red onion, garlic, cilantro, jalapeño, broccoli, melted cheddar, roasted pepper aioli and ranch. What a beauty. The skin chips were definitely the right choice. I would have preferred less sauce, but I enjoyed this thoroughly. Mmm, carbs! Beer is the obvious choice if you're going to be binging on potatoes, but they, unfortunately, did not have beer that day. We ordered lemonade-tea instead, which was refreshing, but not quite the same. I'm sure I'll be back sometime, and I know John is looking forward to trying this place too. Until next time, Potatopia!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155913407; Sentiment_Subjectivity (from 0 to 1): 0.577565193 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 enticing smells wafting out onto Eldridge Street drew me in one evening as I was along with no intention of eating dumplings. It was 5 pm on a Friday, and the place was already teeming with people inside, a line curving three times inside the place and spilling out onto the street. I discovered the reason for the crowd. It's cheap. The dumplings are juicy and have the right dough to meet consistency. In and out service. Can't go wrong with this place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.061904762; Sentiment_Subjectivity (from 0 to 1): 0.711904762 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Literally right outside the Holland Tunnel, La Siren is a quality french restaurant that I really enjoyed. My wife and I ate the truffle burrata and tomato special, the fresh seafood linguine and the absolutely outstanding cassoulet. The profiteroles were good (and huge) but not outstanding. The cassoulet though was truly something to behold and apparently the food of warriors (if they weren't fighting then they would be obese warriors). The bacon, duck and sausage were all oozing with flavor and creamy fatty goodness and the beans were perfect. This was probably one of the best French dishes I've ever had and highly recommend coming to La Sirene for this dish alone...although the seafood pasta was excellent as well.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.341344538; Sentiment_Subjectivity (from 0 to 1): 0.541008403 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had dinner on 7/18/09, the atmosphere was very charming and the food was very good.  I would definitely go there again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.606666667; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I liked the vibe here but the portions are small. I had the pork belly udon soup and spicy salmon taco which was basically salmon on top of a dollop of rice with a square of seaweed enveloped like a taco. The pork belly was all fat and the amount of noodles was pretty miserly. Nice place but I wouldn't come back especially when there are so many other cool places to try in this neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2425; Sentiment_Subjectivity (from 0 to 1): 0.6225 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 live around the corner since a couple of years and I love it so much! Great atmosphere, good food and nice selection of beers, including my fav Radler. I never get tired; the menu is always the same, but I don't care because everything is delicious! Good for lunch and dinner. You can pick light meals, as well as heavy filling one. Ask the servers, they are always incredibly nice!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.415530303; Sentiment_Subjectivity (from 0 to 1): 0.672916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Paula Deen would be proud of this place. Jackson Hole (on Astoria Blvd) is one of the best greasy-spoon diners in the area that serves up probably the best no-frills burgers in the outer boroughs. It is, hands-down, my go-to place for a burger-induced (happy) heart attack [Wyoming with swiss, please!] although I've just recently discovered the "brunch" here (soo late of me!) after being a patron for a good part of a decade. I'm like a kid in a candy store every time I watch the line cooks tackle the 50lbs bags of ground meat and furiously turn them into the delicious "7oz" burgers Jackson Hole is known for. The guys who run this operation are so efficient and good at what they do. Coming down here during brunch can keep my eyes amused for hours (as long as I get my beef- fill while I'm watching).   Drool. Oatmeal waffles? Yes. Fresh Squeezed Orange Juice? Yes. A Cornucopia of pickles? YES! A burger that can whoop your @$$? Definitely! Remember, to ask for extra napkins from your server when you're having a burger. Your lap will thank you. Also, bring some quarters. Jackson Hole is filled with quarter operated table-side jukeboxes that can alleviate the house "music" that they play. Be warned though, they haven't changed their selection.....since "Bye Bye Bye" was a hit.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.426296296; Sentiment_Subjectivity (from 0 to 1): 0.555925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 doesn't look like much (just a little bigger than your typical every-street-corner-in-nyc convenience store), but they make a mean sandwich. I had melted Munster on roast beef with some peppers, etc, but I felt like I was eating a Philly cheese steak. In Philadelphia. Amazing. Cons: there are "too many choices", and the sandwiches are "too big" :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.125925926; Sentiment_Subjectivity (from 0 to 1): 0.543055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Very good sushi. This was a place I tried because of the great reviews on yelp, and I was very happy with the food. I find that it is hard to get good quality sushi in Brooklyn, so this place is a diamond in the rough. I am not a huge fan of the picnic table seating, but I went when the place was pretty slow, so it didn't turn out to be an issue. Also, kudos to the staff for asking the people behind us to stop taking a million pictures with the flash on. That was very nice of them. Will definitely be back. Please set up a delivery service!!! They would make a killing, especially in the winter!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242179487; Sentiment_Subjectivity (from 0 to 1): 0.697820513 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok, this is one of the very top breakfast places in New York. Why? It serves DELICIOUS, old-school diner-y, big breakfasts--that aren't greasy and heavy, just hearty and delicious.  They have great straight-up eggs and bacon, and then fancier things like Lemon Ricotta Pancakes. THe coffee is good and so is the selection. The real reason to go to Tom's, though,is the unbelievable, we've-gone-back-in-time-to-a- 1950's-that-never-even-existed atmosphere. Everyone is exceedingly, genuinely nice, and they do down-home things like bring you coffee and oranges if you are waiting for a table. They just don't make 'em like this any more.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.433566434; Sentiment_Subjectivity (from 0 to 1): 0.642657343 [/INST] Not Spam</s>