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: Time Arrived: 10:15am Tuesday Time Wait: No reservations, 15 minutes Party: 2 People Atmosphere: Small, semi-loud bakery/lunch Food/Drink: Being super fatty, between 2 people we ordered 3 main dishes to try out for brunch. Of course, we got the Blueberry pancakes, eggs benedict and the fried potato pancake with smoked salmon. The blueberry pancake was VERY good. The first bite was the best. It was a great combination of crispy, soft, warm and sweet. It wasn't OVERLY sweet either. The eggs benedict was decent. Nothing too spectacular. The fried potato pancake was literally burned black when it came out. I was surprised they even brought it out cause the burnt crust was so obvious. I sent it back and they quickly brought another one out. This dish was good, but not WOW. Service: Good. Although, why would they serve the fried potato pancake that was so obviously OVER cooked?? Overall: The pancake is definitely the way to go. Can't say anything bad about it. But it's also one of those places I'm not willing to wait more than 2 hours for either.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.231011905; Sentiment_Subjectivity (from 0 to 1): 0.543928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic bulgogi, great bibimbop and an assortment of excellent sides; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.733333333; Sentiment_Subjectivity (from 0 to 1): 0.883333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 i love the egg noodle with seafood and mince pork and the soup on the side that is the best way for me to eat noodle soup. they have other noodles have not try all but when i get a parking in Chinatown i will be there having noodle soup.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.458333333; Sentiment_Subjectivity (from 0 to 1): 0.425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a gem. Great food, good service, and an amazing dinner experience. I highly recommend the roast chicken. It's to die for; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.332; Sentiment_Subjectivity (from 0 to 1): 0.748 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ippudo is not what it used to be. When this place first opened, it was the real deal. Great ramen, but also a great supporting menu that was fairly authentic Japanese. Add in an all Japanese staff with the attendant level of service and attention to detail, a high energy atmosphere that felt like Tokyo, and the result was stellar. Now, 4-5 years later, the slide into mediocrity is well underway. As seems to be the fate of many good Japanese places in the city, management seems to have decided that the key to survival is to americanize. Few of the staff (including the cooking staff) are Japanese anymore and it shows. Portion sizes have grown steadily larger and flavors more western. Shishito are oily and far too many. Tori niku kara age (fried chicken) is made of large chunks of white meat rather than cubes of dark, robbing it of the essential goodness. Etc etc. The only thing that brings me back is that the ramen and pork buns are still very tasty. Edit 3/31/13: the staff is still not japanese but the food has gotten better again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.161008403; Sentiment_Subjectivity (from 0 to 1): 0.38535014 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was a very good little place and it gets a fourth star for being a byo.  i wasn't blown away by anything but everything was good.  i got the dish of the house, duck with cherry sauce.  it was good, but not the rave that i was expecting.  I would come back again, because it was good and it was byo, which is hard to find in this city.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.316354167; Sentiment_Subjectivity (from 0 to 1): 0.452708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hidden in the bowls of an anonymous midtown office building, this Japanese sake bar and restaurant has a peaceful ambiance. The entrance, in the building lobby, is unmarked save for a small gold sign pointing down a nondescript stairwell. The space inside is surprisingly large and minimally decorated with bamboo and rice paper. Although it feels more like a restaurant than a bar or lounge, the focus is very much on the sake. They've got reams of sake to go with the izakaya menu. They've also got some interesting desserts. Another one of the coveted places that make you forget you're in the middle of NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.095642136; Sentiment_Subjectivity (from 0 to 1): 0.346435786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 exactly the type of place that makes NY special. Amazing food. Great service. Reasonable price. And great atmosphere. The food is also local and healthy. So happy to have found this gem. Can't recommend it highly enough.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.430714286; Sentiment_Subjectivity (from 0 to 1): 0.582142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was so good that I wanted to just stay there and keep drinking Margaritas until I was hungry enough to eat again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here last week and am still thinking about everything I ate on that magical Monday night... Bacon and Scallion macaroni and cheese - a surprisingly expensive appetizer but it was so worth it for the chunks of thick-cut bacon and oozing cheese Disco Tots - cheese and gravy on tater tots.  If you need any other convincing, it's really fun to quote Napoleon Dynamite while you devour these.   Fried Green Tomatoes - delicious, the batter stays on them and has actual flavor besides "fried" and the dipping sauce is tangy heaven Boston Bibb "salad" - the salad is in quotation marks because this was a river of dressing and bacon with some lettuce on the side.  No complaints here.   Chicken and Waffles - I have been waiting my whole life, or the whole time I've been obsessively watching the Food Network, to try this.  And I was not disappointed.  Spicy, sweet, crunchy, chewy and juicy.  Messy in the best way.   Twinkie Bread Pudding - Yes, this happened.  Am I proud?  Not really.  It's not their best, but the novelty is tempting.   S'mores Bread Pudding - THIS is the winner, omg.  Chunks of hershey's chocolate and perfect chewy moist bread pudding.   AND it's BYOB AND the waitstaff is friendly and accommodating When can I go back?? **Just a note: the fries aren't great--a bit oily and heavy--but as far as I've tasted, they're the one weak point.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.236; Sentiment_Subjectivity (from 0 to 1): 0.532666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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's only a few places where I've bought an online deal and thought - I would pay full price for this. Most of the time I think, "I'm glad I got a deal," because the server treats me like a second class citizen or it's just not that good. There are even fewer places that I'd want to visit again, and Ofrenda makes that list. I purchased a voucher on Gilt City months ago, thinking that it would be a fun place for the fiancee and I to go before exploring our new city. Well, too many full weekends meant that we hadn't gone and the deadline was looming. So, a girlfriend and I went for brunch this saturday instead. I arrived early for our reservation and was warmly welcomed. I ordered the smoky jalapeno margarita which was super yummy. When my friend arrived, we were seated by the window and given plenty of time to order drinks and then food. I had the chilaquiles and she had the huevos y chorizo. Both meals were yummy. We also enjoyed 2 more rounds of drinks, and were offered the dinner menu to have a wider range of options. I had 2 of the hibiscus paloma - which was refreshing but subtly spicy and smoky. My friend had something cute and fizzy and a paloma. She enjoyed both. Normally, I wouldn't have 3 margaritas at brunch, but our super friendly waiter gave us the last round on the house. Yay! Since the fiancee didn't get to enjoy how awesome this place is, I'll be back, soon, without the deal. And it will be on my list of casual, good places to have brunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.284823232; Sentiment_Subjectivity (from 0 to 1): 0.555707071 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: New opening. Great soup dumplings. They have the regular pork and crab meat, but got to try the super spicy, wasabi  and chocolate one which I can't find anywhere else . The entrees are not bad too, love their crispy beef and fresh fillet in chili pepper oil. We have to go back and try other dishes. Overall moden decor, spacious and good food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.272245179; Sentiment_Subjectivity (from 0 to 1): 0.426345624 [/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 been here several times with my wife. The place is warm and inviting. I get their fish taco and the burger every time I go to breakroom. The burger is one of the best burgers I've ever had. Their tempura onion rings are one of my favorites. Great place for a quick meal!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.563333333; Sentiment_Subjectivity (from 0 to 1): 0.43 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for lunch once, back when I worked in the area. Now I just came back from an early dinner here because some friends from out of town were going to see the Bodies Exhibit so we needed a place by there. Great atmosphere, nice and cozy and not too loud so we could catch up without yelling at each other. No table service on this particular day but there was Happy Hour and the bartender lady brought the food to us. Me & BF ordered something more substantial and my friends ordered lighter fare,  they were about to go look at some dead bodies. Had the mac and cheese with sopressata and a salad, BF had the roast beef sandwich with potato salad. I also had the Anchor steam that was on tap for $4. If it wasn't for the sopressata I'd say the mac and cheese was a tad under seasoned. BF was fine with his sandwich. Good place for the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.260555556; Sentiment_Subjectivity (from 0 to 1): 0.503888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 by far one of my favorite places in Queens. Not many places can offer you a great whiskey or bourbon and fantastic food. The staff is suberb and knowledgeable.  Nate was our waiter and he was super accommodating,  funny and just all around a cool guy. I would recommend this spot for drinks with friends or a date.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310416667; Sentiment_Subjectivity (from 0 to 1): 0.808333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 concur.  Good enough when you are hungry and feeling lucky but your feet will stick to the floor.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.344444444; Sentiment_Subjectivity (from 0 to 1): 0.644444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sadly, I wasn't able to dine at Ippudo..  =( When we got a little after noon this place was already packed shoulder to shoulder and they were not taking anymore guests until dinner which opened up at 5PM.  This place MUST be amazing and I will make sure to come back at one point... Reco - make sure you listen to all the other reviews (I didn't) and go before the place opens!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.046484375; Sentiment_Subjectivity (from 0 to 1): 0.686419753 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can't believe I only discovered this place recently... Maybe it's because there's always a huuuuge line.  But I braved it one evening and it was well worth it.  I had a supremely executed shrimp with asparagus.  The portions are more than generous.... I had to be rolled out of there without much damage to my wallet.   Love this place, will definitely be back to try some of their home made pasta... Looked divine and was very popular.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.285; Sentiment_Subjectivity (from 0 to 1): 0.45625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Boyfriend and I went last night for dinner. We were greeted by two very sweet hostesses (side note: is it me, or are all the girls who work here super pretty?! But I digress) and immediately seated. Ambiance is absolutely beautiful. Seating is dark and velvety. Tree branches and chandeliers make the place sort of modern-magical. Very romantic. Music was kind of sexy-cool. We each had a cocktail from the extensive cocktail menu. He had La Mora, which was bourbon, blueberries, and black pepper syrup, which he enjoyed. I don't remember the name of mine--Something Y Limon--but it was bourbon, lemon, and, I think, lavender. Sooo good, and very strong. We shared some tapas first: garbanzos frites (salted chickpeas with a little kick--delish!!), tostas de boqueron (anchovies on toast--AMAZING!!! Get this!!!), and then he had some meat things that I can't vouch for because I don't eat mammal:  a lamb balls thing (which he really liked) and a quail wrapped in bacon tapa (which he LOVED). The chef checked on us around this point, which I thought was very thoughtful and cool. Entrees BLEW MY MIND. I had the bacalou con pulpa y alcachofas (salted cod with octopus and artichokes and cockles). The waiter, who was really helpful and funny, told me it's very salty, and he was right--SALTY WITH LOVE. This dish was AMAZING. HEAVENLY. I WOULD LIKE TO BE EATING IT RIGHT NOW. My boyfriend had the de cordero, which is a Spanish pasta with braised lamb shank. He was also totally blown away. We both ate every morsel of every single thing. Absolutely delicious. New special occasion place. We left in the best mood we'd been in for weeks. I reiterate: I LOVE THIS PLACE.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.310722635; Sentiment_Subjectivity (from 0 to 1): 0.580218306 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Average country club food.  Good wine list.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.5 [/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: Living within walking distance of Curry Hill has got to be one of the best parts of living in New York, and I was so happy to try Pippali when it opened.  They have an excellent version of the Bhel Puri, and I loved their Palak Paneer.  They have an amazing bread pudding (Double Ka Meetha) as well.  Also, they deliver!; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.605194805; Sentiment_Subjectivity (from 0 to 1): 0.636363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved yucca fries. The atmosphere there is relaxing and nice music on Thursday and Friday nights.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.65; 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: Two words: Pesto. Mayo. You won't be disappointed!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.9375; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Solid West Village restaurant.  Lots of great food options.  The cold vegetable soup gaspacho was excellent, and so was the tuna tartar.  I cleaned my ravioli plate, so that says something as well.  The restaurant has some outdoor seating, which is nice in the warmer weather.  Decor on the inside is fair, 3 out of 5.  Service was a bit off, could have been we had a new server, also felt rushed to pay and leave at the end of the night when there were still other patrons there.  In the end, I will be a repeat customer.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.313920455; Sentiment_Subjectivity (from 0 to 1): 0.697443182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved Bubbys! I wish I was there right now eating pancakes. My husband and I stayed in Tribeca for Valentine's weekend and Bubby's featured prominently. The first night, we ordered take-out. Fried chicken with rosemary-bacon mac and cheese, pickled beets, collard greens, cornbread and chocolate cake. The portions were huge and we easily could have just split the chicken (breast, leg, wing) and the two sides it came with and still have had some left over. It was all really, really good. For take-out, they had it ready fast and it was nice and hot when we got back to the hotel. We went to brunch on Sunday morning and got in around 9:30 just before the rush. Big line outside when we were leaving. We had the Michigan pancakes with sour cherries - seriously the best pancakes I've had in years. Thick, fluffy, flavorful....and again an enormous portion that is easily enough for two people. I also had a side of bacon which was okay - I liked how thickly-cut it was and it was perfectly crispy, but needed some smoke or something to boost the flavor. My husband had matzoh ball soup and the biscuits - flaky, fluffy, perfect biscuits that you can only get by using lard :) I didn't taste the soup, but it looked great - lots of veggies and chicken and two matzoh balls. He was very happy with it. Service: overall it is great - very friendly, efficient, fast, and welcoming.  Our waiter for brunch did become a little less friendly when we declined to order drinks...Other than that, we had two great experiences there and can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242303433; Sentiment_Subjectivity (from 0 to 1): 0.594435216 [/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: Wow... makes me wanna scream AI SHI TTAE RU! Im in Japan here.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.125; Sentiment_Subjectivity (from 0 to 1): 1.0 [/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: Tucked away on an unassuming South Williamsburg block is the most magical coffee coffee place I've ever had the pleasure of entering. While many cafes set out to achieve the kind of cozy, inviting vibe that radiates throughout Mountain Province, few succeed because they lack the thread that ties it all together, an owner who cares not only about the quality of the coffee and food he serves, but about his customers. Ray is behind the counter every day, but he doesn't just remember names and "the usual", he knows the details. It's why ever detail of Mountain Province is carefully thought out and executed. It's why it quickly became a neighborhood staple. It's why you see only five stars and read only rave reviews. Try the breakfast muffin and wonder how he makes it that delicious with no butter. Just try not to like everything about this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.163095238; Sentiment_Subjectivity (from 0 to 1): 0.728571429 [/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 love this place...happy hour beer and oysters.  $15 mains.  Good service and always fun.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/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 been here many times over the years and must say that these are perhaps the tastiest and most creative paninis I've ever eaten, the place has a nice vibe to it, and the staff is friendly. Just be prepared that some of the choices can be on the rich side. Interesting and tasty appetizers as well, including salads. Within the context of the type of casual dining experience Il Bambino attempts to provide, I think this is about as good as it gets. Very tasty coffee, too, strong and flavorful. Very nice place for lunch or early dinner that draws a generally young crowd.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.368809524; Sentiment_Subjectivity (from 0 to 1): 0.639285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Here goes! I don't usually write reviews unless I am utterly displeased with a restaurant.This restaurant made me a little nostalgic about "Amy's Baking Company" episode of Gordon Ramsey's kitchen nightmares. Except Freda gets away with her overpriced burn't toast topped with a not-so-perfect crunchy sunny-side up egg because Jack could afford to buy her a spot in the most touristy spot in NYC? Maybe that's totally far from the real deal but I will just go with that story for my peace of mind, because the 45 min wait and the 45$ spent was 44.99 too much. So after waiting for 45 mins, we got a table. I have to say the host was super nice and probably was the only good part of experience. Enticed by yelp reviewers rants about the breakfast dish called "Madam Freda" we ordered two of the same dish and some tea. While we got the tea pretty fast, the requested cream never showed up, neither did a spoon for stirring the tea. We decided to overlook that and eagerly waited for our food for 15 mins before it showed up. And man that was a bummer! I am sorry to say, I make better grilled cheese with a sunny-side egg on top. The toast was toasted to the point that we had to ask for steak knives so we could cut it.By the time we had successfully cut them into edible size pieces, everything was cold and disgusting and we had lost our appetite. So we decided to just eat the salad on the side except half way through the salad, the waitress decided to take away our plates and then threw the check on the table......I am not sure why either of that was necessary or polite. Maybe they are going for their interpretation of  "Mediterranean" experience. But last time I checked ppl from that part of the world are very hospitable. Maybe madam Frede's staff didn't get the memo. So yup..here I am writing a review or just trolling my anger about the loss of 45 dollars and 2 hours of my life. Whichever you prefer. Happy Brunch peeps!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.063074713; Sentiment_Subjectivity (from 0 to 1): 0.634961686 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Come on guys, Alta was not trying to "poison" anyone. And as long as the sick pastry chef was washing their hands, they would have absolutely no way of contaminating the food, so everything should be fine. Plus, the restaurant has an OPEN KITCHEN. I had to walk through it to get to my table, and it looked spotlessly clean to me.  Let's not totally drag a restaurant's good name through the mud over what is clearly an accident! "Who knows how they have handled their food looking at this incident?" What are you even talking about, crazy person?! An employee went to Mexico, and caught Hepatitis A--it happens. And guess what? Hep A doesn't show symptoms right away! So this person went about their normal routine, which, I'm guessing includes WASHING THEIR HANDS AND FOLLOWING BASIC HYGIENE RULES AND THE HEALTH CODE (which are there to protect us in situations just like this!) until they realized something was up, at which point they got medical treatment, stopped coming to work, and the restaurant reported the incident to the health department. I called the restaurant, and they were not dismissive, or rude, or anything--maybe because I didn't start yelling and accusing them of poisoning me? Just a thought! Not sure if they'll reimburse co-pays for the vaccine, or refund the dessert course, which I think would be appropriate, but I don't think they've done anything wrong by me. Someone who worked there accidentally contracted a disease, and when Alta found out they informed the authorities and gave the phone numbers of all diners to the department of mental health and hygiene, who are trained to deal with this sort of incident and contacted me. I am okay with how they handled the situation, and see NO reason to blame the restaurant for anything. As for the meal, it was my birthday, and it was perfect. Pricey, but worth it. I would have preferred the more bustling main room than the quiet alcove where we sat, but the service was excellent, and the food was delicious--even the dessert. These were not every day tapas, and I appreciated the unusual menu. We got 11 savory plates and three desserts, and there wasn't a loser in the bunch. Some were a stretch to split among four folks, but all in all we enjoyed sharing. There was an excellent gorgonzola gnocchi with boar ragu; some tasty steak tartar; perfectly seared scallops with saffron risotto, a massive squid ink paella, a tasty rabbit trio with lamb bacon and the tiniest rack of ribs I've ever seen, and tender lamb meatballs in a roasted red pepper sauce with a runny egg yolk and lebne. The popular fried goat cheese with lavendar infused honey was great of course, but honestly wasn't the most exciting thing I've ever had. Likewise, I could have done without the oft-invoked crispy brussels sprouts with fuji apples, crème fraiche and pistachio nuts. Every restaurant has a good brussels sprouts dish these days, but does every restaurant have toasted foccacia with sea urchin, Iberico bacon, lemon and chervil? I don't think so! There are more unique things to order, and I suggest you get adventurous. (I myself skipped the bacon wrapped dates!) I particularly liked the seared maitaki mushrooms, which came with the absolutely fluffiest, lightest crispy fried polenta, Asiago cheese and pickled peppers. Also excellent was the foie gras torchon--I wish I'd slowed down to really savor the rich, buttery foie on the perfectly toasted brioche. The desserts I didn't write down, but I know one was a mint chocolate pudding parfait served in an egg, which was tiny but delicious. And then one came with excellent gelato and had some kind of tasty cake on the plate. They were good. Basically, I enjoyed a lovely meal and feel really bad that this place is taking such a beating on yelp right now. Everyone needs to chill wayyyyy out and cut this place some slack! Yes, Hepatitis sucks, but this was an ACCIDENT and they are taking the appropriate steps to deal with it! Grow up, people.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.297045855; Sentiment_Subjectivity (from 0 to 1): 0.617583144 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First I must say that I am not a fan of NY pizza. I have been struggling to find a good slice in the city. Having a slice of pizza that has been sitting around for who knows how long put back in the oven and then onto my plate just doesn't appeal to me. Not to mention the excessive amount of oil topping most of the slices is just disgusting. That being said, I finally found excellent pizza. Artichoke pizza is the best if you are looking for a nice thick slice of pizza. Slices are under $5 so they are a little pricey compared to the NY slices I am used to. However, you only need one of these slices to be stuffed. They are enormous. I tried the artichoke pizza and it was like eating artichoke dip spread on freshly baked bread and topped with cheese. I was in heaven. I also had the margarita pizza which was completely different and yet just as good. The sauce was flavorful and the fresh basil on top was excellent. Spilling both slices was perfect. The artichoke pizza was rich and creamy and the margarita pizza was fresh and light. Go with a friend so you can split this slices as one of my friends commented that the artichoke pizza, while great, was too much when eating an entire slice. mixing and matching makes for the perfect meal. My only complaint is that there is limited seating. By limited I really mean 1-2 seats. So don't plan on eating there. Wait until the spring or fall, get your pizza to go, and walk to the park where there are picnic tables. You need to be able to put these slices down between bites as there is a lot of pizza per slice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242405203; Sentiment_Subjectivity (from 0 to 1): 0.620012125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 French Culinary Masterpiece in Bay Ridge. Petit Oven is a Petite Restaurant on Bay Ridge Avenue, 1 block Away from Bay Ridge Ave R station.  It has only a few tables, small menu, but OMG they are doing everything right.  The service is wonderful, very knowledgable of the preparation of the dishes.  The food is superb, presentation is beautiful, and is the only French place in the neighborhood that I would put up against the giants of manhattan.  Excellent restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.298901099; Sentiment_Subjectivity (from 0 to 1): 0.564285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Barrio Chino does it right. Ambience, awesome gourmet tequilas, and fairly decent margaritas, for new york (sorry I'm biased). I've tried most of their food, but I would say their chorizo quesadillas are the best. One thing you should know about this place is that after 730 on a weekend night, expect a wait of at least one hour. This means standing in front of the bathroom and watching people eat, which isn't so much fun. I've lucked out everytime I've been there, but I've seen this happen and believe you me...mental note has been made and I'd like to share this with all of you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.287638288; Sentiment_Subjectivity (from 0 to 1): 0.561880712 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just walking to the place already put a smile on our faces. Located on a charming corner in the village, Little Owl is equally charming with its modest size and friendly staff. As for the food, it was a touch hit and miss, with the hits winning in the end. Here's the breakdown: The meatball sliders lived up to the hype and beyond. They are so damn good they could literally convert a vegan. The gravlax, which was recommended by our server, was just okay. Nothing special. The pear salad, while better than the gravlax was also nothing special. In fact, my wife makes a similar one at home all the time. That said, in both of these dishes, the ingredients are very fresh, which is nice. But that only goes so far. Now for the main event. The pork chop is the best I've ever had. Blows away Vinegar Hill House- which I also love. But I gotta give it to the Owl. Perfectly seasoned. Perfectly cooked. It's like it was cooked by God himself. Unfortunately, the pork was my wife's dish though. I went with the other Yelp reco, the crunchy lemon chicken, and what a disappointment. Not that it was dry or anything, but again, nothing special at all. If you want an amazing chicken, go to ABC Kitchen. Best fried chicken I've ever had. And for dessert, both were very solid. We had the cinnamon bengiets with Nutella and the strawberry rubarb crisp. Both disappeared in seconds. I recommend either or both. And last but not least, the wine. Also recommended by our server, it was an appley Chenin Blanc, and I do have to say, it worked perfectly through the meal. It's a hard one to give less than 4 stars with such highs, but with so many misses, it's also hard to give it more than 3 stars. Guess I'll have to go back to be certain I chose wisely. ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.225281155; Sentiment_Subjectivity (from 0 to 1): 0.599093212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yum Yum Yummy!  Love this place!   This place has such a romantic cozy vibe.  Came with a group of 5 and sat on the 2nd floor by the fireplace!  The good and the bad of coming to a tapas place with a group of people is that you get to taste everything but you don't get to taste that much of it.  hahaha.  Good for me that not everyone at the table liked goat cheese because I got to gobble up the fried goat cheese... that lavender infused honey!  mmmmm. All the small dishes we ordered were delicious as were the drinks.  They only take cash or amex so come prepared...; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.217307692; Sentiment_Subjectivity (from 0 to 1): 0.601282051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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're looking for cheap eats at ANY time, you just have to come here, even if only once. I realize the idea of waiting in a 30 minute line for chicken and rice is crazy, but for $6, you get a huge plate of food from semi rude guys who aren't there for a conversation. Come for the cheap food, not the service!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.028571429; Sentiment_Subjectivity (from 0 to 1): 0.821428571 [/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: Pretty average Italian food.  I mean it was good, but safe.  I would give it a 4 because it really was good, but I don't really have any desire to go back.  I could have made either dish that my wife and I ordered.  The gnocchi was a little bit on the mushy side. The waitstaff was really cool though.  You definitely get the feeling you're in an authentic Italian place with the authentic Italian owner and waiter jiving each other with really thick accents.   This place is on Mulberry Street, which on weekends in June-Sept turns into a pedestrian walkway.  It would be a good stop for tourists to get a safe Italian meal in Little Italy.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.166847826; Sentiment_Subjectivity (from 0 to 1): 0.425543478 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Visited Bea for pre-show dinner on Wednesday night with about 90 minutes until curtain and we were out the door with plenty of time to make it to the theater a few blocks away. We both opted for pasta dishes that were very tasty. Service was attentive and prompt (didn't have to chase someone down for the check, which is becoming a personal pet peeve), the music was at a good volume so that we could still have a conversation, the ambiance was relaxed and fun. Next time I'd like to try out the bar and some of their interesting-sounding cocktails. Overall, Bea gets a thumbs-up from me!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.169444444; Sentiment_Subjectivity (from 0 to 1): 0.353888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go during non peak hours and enjoy one of the best italian foods i've had.  One dish is good for 2 or 3 people. My favorite is the Lemon Butter chicken over fettuchini.....A MUST IF YOU ARE IN MIDTOWN; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.558333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tastiness all around. I've been here a few times now and order something different every time. Well, except for the roti canai which I ALWAYS get. Their rice dishes and noodle dishes are my favorite, with the Indian Mee Goreng with tofu being at the top of my list. Definitely spicy, but nothing that will scar you for life. Hubs has ordered their crab dish and finished every last piece of it, it was that good. Their coconut drinks served in actual coconuts are pretty cool. After you finish the coconut juice you can ask them to take it back and slice open the coconut so you can taste the sweet coconut meat on the inside. Service was also really fast. Seating, ordering, eating and getting the check took under an hour, even though the place was packed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.189285714; Sentiment_Subjectivity (from 0 to 1): 0.49047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a weekday evening with two friends and the wait was over an hour, which wasn't really that surprising. That gave us enough time to go down to Chinatown for some ice cream. The place is rather large and super trendy but I don't get what the hype is all about. The ramen was good, not great. I left feeling 'eh'. I probably won't be coming back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.199278499; Sentiment_Subjectivity (from 0 to 1): 0.439466089 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful find. Thank you Yelp! Could not of been better. Terrific pasta and all meals looked great. I had rigatoni and calamari and shrimp in spicy marinara sauce. Wonderful. Did i mention the place only has room for eight people to dine it! Felt like in little corner of small Village in Tuscany.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3578125; Sentiment_Subjectivity (from 0 to 1): 0.76875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was introduced to Woorijip in my Freshmen year in college for their yummy rice cake stew. My friends are I are frequent customers for late night soju runs here too. Often would grab seats in the back and stay til closing.  Everything I've tried taste great! Especially love the Kimbap and kimchi fried rice. Everything is super cheap and filling. Definitely satisfy my Korean food craving! Will try the per pound buffet section next time!; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.281481481; Sentiment_Subjectivity (from 0 to 1): 0.501851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been to this restaurant several times, always had great service. The food is delicious, the best chicken Marsala I have ever had. Only wish that the place was not so noisy. Will go back, love the food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3375; 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: Been here a few times different days of the week. I must say the day I like most coming here would be on Mondays when it's not too loud and crowded. A great place for Happy Hour and the food is decent too.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.30952381; Sentiment_Subjectivity (from 0 to 1): 0.630952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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's ALWAYS a wait at Kyclades. Don't worry, you can put your name in and toddle down to Yiamas Astoria a couple blocks away and the hostess will call you when your table is ready. Don't order anything but fish (as if you would), and while the lemon potatoes are excellent the unsung star is always the horta (dandelion). Get some, your mama will be glad you're eating your greens. When you're finally seated with a basket of bread in front of you, enjoy looking at all the poor saps standing around waiting for their turn -- it makes the taste even more delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.338271605; Sentiment_Subjectivity (from 0 to 1): 0.709876543 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Do yourself a favor and treat yo'self. If you like ramen, come here. If you want to avoid hours of waiting, come here for lunch on a weekday. There's almost always a wait, but Ippudo normally gives you a longer estimate of wait time. You can leave your number and hang out in St. Marks while you wait. Half an hour passes a lot faster that way. I got the akamaru modern with the ramen egg. The egg is an addition, and you do pay extra. I forget how much, but I want to say it's a dollar? The broth was sooo yummy, and of course the noodles were wonderful too. I would have liked a little more pork belly, but what I had was pretty good. My meal was one or two dollars less than $25. I was stuffed after my bowl of ramen, so I think you get your money's worth in both quality and quantity. Service is pretty good, but it's not super warm or friendly. They staff is polite and efficient. They also seem like they'd be happy to answer any questions customers may have. I've been to the location in Midtown West, and I think I like the interior better there. It's cozier and feels more like a traditional Japanese ramen house. This original location is more trendy/modern and not as home-y. It does have way more seating, though. Definitely make a point to stop by here if you're visiting, and if you live in New York and haven't been to Ippudo yet, then what are you waiting for?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.29604232; Sentiment_Subjectivity (from 0 to 1): 0.527742947 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was a great 2nd option. I only say this because the restaurant that I originally intended to go to with a friend from college, closed down even when I yelped the place. What the heck!! Lucklily, this place was only across the street. And boy, was I glad I went here. From the time that we sat down, we were greeted generously. The waiter was really knowledgeable about the menu, except for the specials for the day, in which he had to read off a cheat sheet and explain it to us. It was kinda funny when he told me and my friend, "It's our little secret. Don't tell anyone." On top of that, the waiter was also knows what goes on in the neigborhood. So he asked us whether we're are eating there for a pre-theater dinner. We didn't have to catch a show that night, but it's always a great sign that the waiters show ways to cater to the customers. We ended up ordering some wine, which blended in very well with the food. One thing about certain restaurants is that under a certain item on the menu, it is classified either as original or house special. Once I saw that, my eyes bulged and I knew that dish was the dish I had to get. It was the Osso buco. The great thing about this dish is that it is seasoned really well and on top of that, the meat is so tender it falls right off the bone. It's almost like lamb shank at a Moroccan restaurant. I'm glad that this restaurant prepared the food right because it made the experience that much better. The food is a little on the pricey side, but definitely worth going to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.237784392; Sentiment_Subjectivity (from 0 to 1): 0.548783069 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 review is for both the taste and the environment. The place is abit cramped and I believe the layout could be better to hold more people comfortably. I do like the traditional indian feel that you get from the tables and even wall coloring etc so I can't deduct too much from it. Nowwww onto the food.I had both the lamb and chicken wrap with eggs and they are both 5 STARS!!!!! I will probably try their entire menu since that very positive first impression.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164545455; Sentiment_Subjectivity (from 0 to 1): 0.586742424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 took my boyfriend here for his birthday knowing we were fully ready to stuff our faces and leave in a food coma. Honestly, we couldn't have left happier. The food was reasonably priced and of excellent quality. Service was attentive (we sat at the bar) and the atmosphere was cozy. We had: Appetizer: Artichoke Hearts & Aioli Entree: Butchers Steak, Diver Scallops Sides: Pan-Fried Truffle Mashed Potatoes, Grilled Berkshire Bacon, Shishito Peppers Dessert: Salted Caramel Pot de Crème I'd recommend everything above. The only thing I could have a slight complaint about were the scallops. Cooked perfectly, but only four served in a simple butter sauce. Delicious, but as one of the more expensive menu items, I'll probably opt for something more substantial in the future. Overall, a really great experience. I live only a few blocks away, so I will definitely be coming back time and time again. Can't wait to try the rest of the menu!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.180359147; Sentiment_Subjectivity (from 0 to 1): 0.524029982 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 minute you walk into the restaurant, you can immediately decipher from the feel of the place that Chef Yasuda is a traditionalist and is dedicated to sticking true to the art of making sushi. The restaurant is airy and light, outfitted with bamboo walls, tables and ceiling.  The minimalist décor insinuates that the food and sushi are the focus here - Sushi samba it is not.  There's no loud music,  no gimmicky rolls with exotic ingredients - everything is fresh and above all, simple.  The way Chef Yasuda prepares his sushi is to highlight the flavors of the fish - not to mask them. There is even a note in the menu that the Chef recommends using soy sauce, wasabi and accompaniments very sparingly as not to disguise the flavors of the fish. Since this was a work lunch, our group of 4 was promptly seated at a table.  I really wanted to and would recommend to anyone going here to sit at the bar.   There's something humbling and intriguing about watching Chef Yasuda work - he's so delicate and diligent and efficient with the sushi - it's quite mesmerizing. As we settled in, we were given 2 menus: 1)  A sheet of paper highlighting the sushi and sashimi available for the day, with Chef Yasuda's recommendations circled in red.  The sheer variety of fish is outstanding ; it can be slightly overwhelming even to a non-beginner.  Next to each fish is a box where you input the number of orders you want.  Our waitress indicated that for one person - One roll and at least 5 varieties of the sushi/sashimi were recommended. 2) The second menu contained the drinks, appetizers, prix-fixe choices and various other items Our group opted for the prix-fixe, which included a soup/salad, chef's choice of sashimi, and a choice of a roll and four different types sushi/sashimi.  The fish tasted EXTREMELY fresh and delicate - the pieces almost melt in your mouth.  You can tell there was care in the preparation of the food. I even could distinctly tell the rice was different - it was very delicately seasoned and cooked perfectly.  I read in an interview somewhere that Yasuda uses two different grains of rice and that careful attention is paid to make sure that the exact proportion of rice is used in relation to the fish. Overall, I have to say this was probably the most authentic and fresh sushi I've had to date.  Life changing? Maybe not.  However, I did love the fact that I was having sushi the way it was intended in Japan and that there was respect and discipline for the practice of making it.  Sushi Yasuda is a place for fish lovers who want to take a journey and eat different varieties of the best fish around the world.  This was Chef Yasuda's intention, and he truly delivers....for this I give the place four stars.  I wasn't completely blown away, but I suspect it's because my palate may not be sophisticated enough to appreciate and enjoy all the exotic varieties of fish from a sushi purist's perspective. And for this I didn't want to punish the place in my review.  Sushi amateurs (yes, those of you who fall into the category of ordering California and spicy tuna rolls every time and drown them in spicy mayo) may have a diminished experience here if you are averse to the "fishy taste".  However, if you want fresh, exquisitely prepared fish without any of that trendy crap - then this is the place for you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2175; Sentiment_Subjectivity (from 0 to 1): 0.562920635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stoked to come back after a long 3-year hiatus.  Last time, I was at the Sheraton around the corner from this place so I tried the cart during lunch and dinner time and I think they are both good even though they are different carts (the one at night has no tomatoes).  The price is still the same, $6!   We came here for dinner after going to the Moma on Friday (FREE from 4p-8p on Fridays - Thank you Target sponsor!).  There was a line but it went quickly.  We sat on that building thing next to the cart and there were a lot of people sitting there alone or with friends despite the light rain.  We ate our leftovers later that night at the hotel and it was still good!  Combination plate is the way to go!  If you can't stand spicy, only get a little bit of the hot sauce for taste.  If you have a sensitive stomach, use the white sauce sparingly.       YOU MUST TRY ONCE on your trip to NYC!  Even if you're not hungry, come and split the dish with someone for a snack!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.179166667; Sentiment_Subjectivity (from 0 to 1): 0.449509804 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Malaysian food before, so I wanted to give it a try.  I heard that it was a mix of Chinese, Malay and Indian food, and since I'm planning a trip to Malaysia this summer, why not? This place is smartly decorated.  It's modern, dark, and quite large.  Servers were talking in Chinese, and I know that a somewhat large percentage of Malays are ethnic Chinese.   I had the roti prata appetizer.  The pancake was OK.  It was neither thick nor buttery, even though the menu described it as such.  However, it was really hot to the touch, so it felt and tasted fresh.  The little bowl of chicken curry sauce was really good.  It reminded me of Vietnamese chicken curry. I also had the shrimp mee, which was good but not great.  The broth was very dark and a little too sweet for me.  However, it had a very strong shrimp paste taste to it, which I love.  I also asked for a chili sauce, and they gave me this vinegary chili that was truly amazing. Their menu is extensive, so I'm definitely coming back to try some more of their offerings.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.109868637; Sentiment_Subjectivity (from 0 to 1): 0.511436782 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chicken that I've had in ages. The food is as good as it gets!(5/5) Came here for a birthday of a great friend mine and the service was relatively strong. (4/5) The atmosphere is amazing with relatively nice decor. (4/5) However the only downside to it was that I could not make a reservation and the lines  were extremely long... (2/5) But I guess it was well worth the wait!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.385833333; Sentiment_Subjectivity (from 0 to 1): 0.673333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Pizza Ever!  That's all.; Max_Daily_Reviews: 1; 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: Great food. Laid back atmosphere. When we went it wasn't as crowded as I heard it can be though there was still a 15 minute line. The ribs and brisket were extraordinary. The people who work there were efficient but friendly and helpful.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.377083333; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/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: Diner is one of favorite places in Williamsburg.  Scratch that...it's one of my favorite restaurants in all of NY.  Scratch that again...it's one of my favorite places anywhere.  In fact, Diner is one of the reasons why I decided to move to NY, many, many, many years ago.  I was strolling through Williamsburg with a friend of mine, late at night, it was pouring outside, and we stumbled in here, and it blew my mind.  There we were, in an old, falling down diner car, listening to Interpol & Tricky interspersed with some old school soul classics, drinking Martinis, surrounded by good looking people in their 20's having a good time.  Cool decor?  Check.  Cool music, better than anything you'd hear at any restaurant/bar in Boston at the time?  Check.  No big screen televisions showing sports, totally ruining the ambience?  Check.  Better looking patrons than those in Boston?  Check.  Better food, with far less pretension than anything I ever experienced in Boston?  Double-check. At that moment, I remember uttering under my breath, "why the hell am I not moving here?"  ...and about 2 months later I did so. But enough about me...let's get back to Diner.  As everyone else has mentioned, the burgers are to die for.  As are the french fries.  They're so good that when friends come in from out of town to visit, Diner is usually our first stop, and they leave a fan as well.  The specials can be a little bit hit or miss, but I've never had anything bad at Diner...just the occasional meal that was only so-so (which still means that it's a better meal at a more reasonable price than you'll find most places.  Everything's relative). I'm hesitant to give them 5 stars for two main reasons.  One is that I used to find their seasonal cocktail offerings to be charming.  Nowadays I find it kind of annoying.  Just as I hone in on a certain cocktail and decide "this is what I'll drink when I come here" the menu changes, and I'm back at square one.  And Two, the prices have gone up (but then, prices have gone up everywhere...especially in Williamsburg).  I don't find Diner to be as reasonably priced as it used to be.  It's still worth what they charge...it just takes a larger bite out of the wallet is all.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.207733962; Sentiment_Subjectivity (from 0 to 1): 0.492402447 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for brunch yesterday on a Gilt City Coupon. For $30, we were able to choose 2 salads/apps/panini's, 2 brunch cocktails and one bruschette. I arrived a little before my brunch date around noonish and was able to snag us a seat on their outdoor patio in the back. It was the perfect October day to be eating outside in a garden like area. Soon thereafter the patio began to fill up so I was happy I arrived a little early! Of course I had reviewed the menu a million times over before going, and thinking I nailed down what I wanted, my sweet tooth starting to chime in when I saw the strawberry and mascarpone pancake. But I ended up sticking with my original plan. They started us with some house bread and EVOO. The bread looked beautiful, but it was big let down to find out it wasn't warm. For the brunch cocktail, I started with a mismoa. For the bruschette, I really wanted to the one with the ricotta cheese and black truffle honey but came to an agreement and got the wild mushrooms, arugola & parmigiano cheese. The presentation of the bruschette was very simple, yet rustic. Served on a handled wooden slab were four petite pieces of bread topped with chopped veggies. I felt that this dish alone could have been more flavorful, but it certainly held us over while we waited for the main course. I ordered the insalata di barbabietole red beets, goat cheese & fava bean salad served on a bed of mache with balsamic dressing along with the polenta tartufata, polenta filled with robiola cheese in a black truffle sauce. I had to get my truffles in somewhere! The presentation of the salad was gorgeous. Topped with a disc of cheese that had been baked accented nicely with red beets, big green fava beans and mache. The dressing was on the lighter side and once the cheese disc was crumbled I was ready to dig in. A bite of beets, fava beans and goat cheese made this salad simple yet delish! The polenta was an ice cream size scoop covered and surrounded in a truffle cream sauce. The polenta was still a little creamy and because of the heat the cheese in the middle had melted but only a little bit. The sauce was a cream based sauce but it wasn't too heavy. The flavors were outstanding and this truffles were definitely present! My brunch date ordered polpettine di vitello, mini veal meatballs cooked in a savory tomato sauce with grilled cibatta bread along with 3 eggs baked in a dish with ham and mushrooms. The meatballs were gone before my eyes so I'm assuming they were good. The tomato sauce was bursting with flavor. I was excited to try the cibatta bread but they went a little overboard with cooking it, making it hard to take a bit without it hurting the roof of your mouth. I used the house bread to sop up the rest of the sauce. The egg dish was a very generous portion and prepared nicely. The bright yellow yolks against the white made the dish look appetizing. The service was exceptional and more than happy to help when asked what items were more popular on the menu when I was having a hard tiem choosing! I did notice a few other groups where there on a coupon as well. It was a great deal and some of the other items on the menu looked really good! Great brunch spot along with a reasonable price and outdoor seating, how can you go wrong?!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.196906835; Sentiment_Subjectivity (from 0 to 1): 0.496701019 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In the area needing a cocktail and some food BADLY. Quick Yelp check tell me this place is 1. Not a chain and 2. affordable. SCORE! We walk in an are greeting by the adorable bartender who tell us we can sit where ever we like (the place was pretty quiet) so we sit at the bar. Since I am not one to let an adorable bartender go to waste. Cocktails are ordered, food is ordered. (there was only an hour left of brunch so we just got cocktails separately) I got the Grand French Toast is was AMAZING. My friend got a savory breakfast of some sort (I forget the menu name) but she also was very pleased. As I mentioned before the place was quiet when we walked in but picked up as we sat and ate and drank. The service never suffered. Cocktails were refilled, smiles and jokes were made. Exactly what brunch should be. I would recommend this place to anyone looking for a nice place to stop in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.271111111; Sentiment_Subjectivity (from 0 to 1): 0.621111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little corner spot is totally AWESOME! The FOOD is YUM and the SERVICE is EXCELLENT!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.604166667; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is why I cringe every time someone suggest eating in Manhattan.This is the kind of place that trust fund transplants flock to when they are trying to be one of the cool kids. The food is okay, nothing spectacular, but decent. My issue is that the portions are tiny, your entrée will look like an appetizer. They have a shepherds pie. I can think of 15 different restaurants that have a better shepherds pie, that is 3 times the size  for 2/3s the price. They keep the lights dim for ambience, but in reality, they don't want you to get a good look at the food. People rave about places like this because it's trendy and they feel like if they like this place, it makes them a cool kid. If you judge this place Objective, it's not really anything special. If they are going to charge around 20$ a dish, it should be more than two bites.  Don't take anything I'm saying the wrong way, the food is good. But it's not good enough to justify the tiny portion.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.241609977; Sentiment_Subjectivity (from 0 to 1): 0.587528345 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend and I are from SoCal and were exploring Brooklyn and really craving Thai food so we yelped and found this place. It was pretty good. The customer service was great, the decor lovely, and the food was good. The Thom Yum Koong was delicious! The Pad Thai noodles weren't my fav, too crunchy for my liking, and the third dish we had (name I can't remember) was decent but sort of lacking in flavor. Overall I did enjoy my experience and my friend thought everything was delicious so that's why I'm giving it a 4 star rating. For me the food would be a 3-star the decor 4.5 star and customer service 4.5 star.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.476388889; Sentiment_Subjectivity (from 0 to 1): 0.588888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a wonderful place to try! A variety of crazy food with so much flavor. You MUST TRY the Pork Belly! The staff was very nice and helpful. And other than the rowdy table next to us, a perfect experience. Either that or I'm totally on a food high!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.278333333; Sentiment_Subjectivity (from 0 to 1): 0.640555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in chelsea and this is our go to local restaurant. They have THE BEST french onion soup, yummy mussels and good crepes. Very affordable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.339393939; Sentiment_Subjectivity (from 0 to 1): 0.283333333 [/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: Really enjoyed this meal - ate many dishes for the first time including Aspara Bou, Kani Shumai, and Hotate and was happy with all. We were happy with a table, but if you want some more drama to your meal, make a reservation for the counter.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.558333333; Sentiment_Subjectivity (from 0 to 1): 0.672222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, semi-long wait times, pretty high prices.  Restaurant is very loud and you'll be sitting with 2-3 other groups.  The atmosphere is pretty cool (similar to Sea Thai in Brooklyn), but $17 for ramen soup seems like a lot to m.  This is one of the places in NYC that does it right, so I'm willing to pay slightly more occasionally.  It just didn't wow me.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.219285714; Sentiment_Subjectivity (from 0 to 1): 0.651978022 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had the Akamaru Modern, philly cheesesteak rolls, and the creme brulee with greentea icecream.   1.  The Ramen was okay, noodles were a little overcooked, and soup base was too strong.  Was expecting a lot coming in though, and I guess in comparison to other ramen houses it was okay.   2.  Philly Cheesesteak rolls were soso too.  The inside was a great combination of meat and cheese, but the problem was that the outside egg roll part was too soggy.  Need the crispness.   3.  Creme Brulee w/ Green Tea Icecream was the highlight of the meal.   Conclusion:  A tad on the expensive side, but I had a decent meal.  Would frequent again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.068269231; Sentiment_Subjectivity (from 0 to 1): 0.513461538 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the burger here! People have told me about the long wait so I always get here at 6pm. The wait doesn't seem that bad though on weekdays (except Friday) Anyway the truffle burger with the egg is great here. Though the egg always leaves an oozy mess, its worth every bite. The burger is very soft and infused with the truffle flavor. They also cook it just right so that it isn't too rare or too hard ( I always ask for medium rare) However, I'm only giving this a 4 stars because aside from the burger, very little else is good here. The salad was extremely salty and the sweet potato fries had very little sweet potato flavor. The normal truffle fries are good though. Also, I tried 2 other burgers here and regretted it. They were not memorable and so I don't remember the name now but I have yet to try the tuna and the duck one.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126661255; Sentiment_Subjectivity (from 0 to 1): 0.629502165 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a pulled pork guy but the burnt ends here are out of this world. Pulled pork and brisket are both solid. Oh, and they put brisket pieces in the baked beans. Really cool setup as well.  My new favorite spot hands down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.166161616; Sentiment_Subjectivity (from 0 to 1): 0.498686869 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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?? Are you serious?  We showed up at 6 PM on a Sunday, having pre-ordered 4 lbs of brisket.  After being let in, we stood on line for quite awhile, and eventually asked the manager what the chances were of being seated.  "Slim to none" was not what he said, but implied, in a clearly disinterested  manner.  We left.  Honestly, as long as there are people dumb enough and with enough disposable income (clearly many, as evidenced by the long line as we exited) to stand on line for a pricey piece of meat (which in no way could justify the inconvenience), "buzzy" dumps like this will thrive.  I'd rather go to Blimpie.   (We actually went to a lovely Argentinian restaurant  nearby, with great food, ambiance and service.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.099358974; Sentiment_Subjectivity (from 0 to 1): 0.434615385 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So good! Yes, it's worth the hype. The hell boys definitely the best but all of the pizzas are amazing. Can't wait to go back. My only reason for not giving 5 stars is that the service wasn't great but it wasn't awful. Yummy. Hot honey - so brilliant! Drooling.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.347727273; Sentiment_Subjectivity (from 0 to 1): 0.636363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crepes are delicious -- both the sweet and savory. But you should go over the weekend, because they make these fabulous cookies that are not super sweet. Coffee is not bad either. Price is very affordable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.354761905; Sentiment_Subjectivity (from 0 to 1): 0.704761905 [/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: Came for pre theater dinner and ordered the pasta special. The meal was great especially the roasted beet and goat cheese ravioli. The service was exceptional and they have a large selection of wines under $25 which is very cool. The only thing that reserved me from giving Becco 5 stars were the table arrangements. We felt quite cramped, luckily the people on either side of us were very friendly. However, I can see people who are more private not liking that.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.346720779; Sentiment_Subjectivity (from 0 to 1): 0.723030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Impossible to get a reservation but they keep the 4 person bar area open for walk ins (pretty comfortable).  The meatball sliders and the pork chop entree might have been the best meal I've had in years.  Suggestion would be to show up early, put your name down and then walk down the block and have a nice glass of wine (or two) at Centro Vinoteca.  Perfect plan for a date.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.237222222; Sentiment_Subjectivity (from 0 to 1): 0.647777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 come here often for lunch with my co-workers and have had dinner here several times. The food is superb! Nearly everything I have ever ordered has been delicious. Personal favorites are the lentil soup, the falafel and those phonecian fries. The drinks are super strong. Pace yourself unless you want to work the rest of the day seriously buzzed. The waitstaff is always courtesy and help out with any special requests. I had my last birthday dinner here and they came out with my surprise cake and sang for me too! ilili is a place for boozing and eating, no question.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.289047619; Sentiment_Subjectivity (from 0 to 1): 0.54047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good ramen (the akamaru modern).  I didn't think that the noodles were quite so special, but the broth was excellent. Divine, ten-star pork buns. I went for a very early lunch on a weekday and had no trouble with lines, attitude, or anything but the prices--a little hard to swallow.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277247024; Sentiment_Subjectivity (from 0 to 1): 0.535386905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Working in the Times Square area, it's hard to find a good lunch without bumping into tourist or paying tourist prices.  Go Go Curry is just the fix for this problem.  It definitely satisfy my occasional craving for Japanese curry.  The pork katsu was nice and crispy and the curry has a distinct flavor that you normally don't get from the regular curry package.  The owner is a big baseball fan, and the menu is full of baseball lingo.  Get a double, and you will have plenty of food.  Overall, it's a great place for lunch tucked away in the garment district.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.186309524; Sentiment_Subjectivity (from 0 to 1): 0.370970696 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can I say, Lupa usually never disappointments me. But last night was the exception. Usually their pastas are good, but my spaghetti alla carbonara was drenched in oil and not al dente at all ~ it was mushy and way too much salt added. Because I was with a group of people, I wasn't going to send it back to the kitchen.  Lupa's prices have also gone up a bit.  Overall, I'll still be a Lupa fan, I just hope next time my pasta will be al dente.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.096875; Sentiment_Subjectivity (from 0 to 1): 0.170833333 [/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: It pains me to do this. I didn't plan to do this. But after my last two visits, something has to be said. I couldn't wait for this restaurant as their sister restaurant (Flatbread Company) is the best up in New England. I went on my birthday in April and then again last week. And both times, they had to redo my pizza twice! I have several food allergies so I create my own pizza and always tell the server what I'm allergic to. The server did not write my order down, and I even said, oh do you want to write that down? He said, no I got it. Well, the pizza came back wrong. He sent it back and another one came out, still wrong. He blamed it on the kitchen. When the bill came, I could see exactly what he typed in for the order, and it was wrong. When I pointed this out to him, he told me I that I was the one who gave him the incorrect info. You NEVER tell a customer that they are wrong. When I went last week, the server had the order right...but the kitchen messed up and my pizza came late. Then when it finally showed up, it had chunks of garlic on it even though I told them I was allergic to garlic. That was unfortunate and odd. As much as I'm dying to eat their food, the service needs to step it up. I'm sorry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.072337006; Sentiment_Subjectivity (from 0 to 1): 0.474196511 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 were 4 of us that went at around 11pm and the place was packed! We really wanted to taste their uber popular soup dumplings so we sucked it up and waited 20 mins to get a table - which we also shared with a couple of strangers. I am not a dumpling kind of gal but their soup dumplings were good, not the best (I've had better). Honestly, it was all about the broth. The dumpling itself was ordinary, but what made it juicy was the broth inside it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.49375; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm updating my review, since I've been to Thirsty Koala probably about 50 or so times since I wrote my initial review. This is my favorite restaurant in Astoria, hands down. The wait staff is the friendliest and the food is creative and delicious. I highly recommend the Kakadu costini. It's different than what's on the menu- its actually made with peaches or sliced apples and goat cheese with olive tampanade. We get it every time and everyone we bring ends up loving it. Regarding entrees, there isn't really a wrong choice. The kangeroo is good but definitely a different taste, so know what you're getting into. The lamb lollies are out of control good and the fish is always completely on point. Everything tastes really fresh and the food is always prepared perfectly. The cocktails are also some of the best on ditmars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.347320261; Sentiment_Subjectivity (from 0 to 1): 0.610522876 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in late tonight and was surprised to see it not packed! I liked the old look but really enjoy the new warmer feel. Food was fantastic, drinks were excellent, music was just right and the staff was welcoming and attentive. Perfect for a late night meal or drink in a chill atmosphere. I'll be back again and again...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.295929071; Sentiment_Subjectivity (from 0 to 1): 0.645404595 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 EXCELLENT. The only reason I did not give 5 stars is because they really screwed up the dessert. The rest of the meal was outstanding. This place is pricey but was well worth it. I shared two cheeses with my parents. They came with a garlic honey, apple butter, and a balsamic reduction.  All of those went beautifully with the cheeses. We also shared a salad as an appetizer. The greens were so incredibly fresh and it was dressed perfectly: not too much, just enough. I got a duck entree which was smokey and wonderful. It came with a cheesey sweet potato bake and greens and again, the green were incredibly fresh and the sweet potato bake was excellent.  My parent's meals were incredible as well. I order Creme Brulee as a dessert and what came out was an orange flavored flan, not Creme Brulee at all. A balsamic reduction was drizzled over it and it did not go well at all with the tanginess of the flan. The rest of the meal was so good though that I really don't hold the subpar dessert against them. They clearly need to hire a dessert chef though. Other than that, know going here you will be in for an incredible, albeit pricey, meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.378409091; Sentiment_Subjectivity (from 0 to 1): 0.628787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely the smallest restaurant I've ever been to! You get that real Jamaican street corner feel when you eat here. Its like someone's running a restaurant out of their house! But, its sooooo good! I had the Jerk Chicken and some roti skin on the side. The chicken was perfectly cooked and seasoned. Declious! Watch your head if you eat in the upstairs dining area!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.187946429; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My roommate and I have been living on 30th avenue for a month now, and we've tried many of the restaurants between the subway station and Steinway. Somehow, we had never made it past Steinway...until today. And I'm so glad we did! We noticed a cute looking restaurant while walking down the sidewalk, and were sold immediately when we noticed a sign that said "If Teddy Roosevelt were alive, this is where he'd eat." I'm now convinced that yes, yes he would. The inside was awesome; quirky, unpretentious, and with Friday the 13th VII playing in the back. All good signs. Our waiter was extremely friendly and had a good sense of humor. The only problem was that most things on the menu looked too delicious and it was nearly impossible to decide. After much deliberation, I went with the Animal Burger. I recently had my first Animal Style burger at In-N-Out this summer, and was supremely disappointed...so I figured I'd give this one a shot. And, oh my god. It was so good. The burger was juicy, the sauce was amazing, and the onions...the onions! Ridiculously good. One of the top 3 burgers I've ever had, ever. My friend had the fried pickle burger and he also loved it. Also, the table next to us ordered their Mac n Cheese and ended up ordering a second order to go because it was so good. We were too full so we passed on desert, but we left saying to each other "...Can we come here every day?" All in all, this was probably the best meal I've had in Astoria so far...and I have tried a LOT of places. So definitely stop by and get the Animal Burger, or anything else, because I doubt you could go wrong.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.298611111; Sentiment_Subjectivity (from 0 to 1): 0.530800654 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am not a big fun of Dinner , but this place is the best service is good , prices alright; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.3 [/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: The best soontofu in nyc. Seriously, the best.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.555555556; 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: went this place for lunch today with party of 4. Everyone was happy with their food. When you walk in, you will see a display of desserts. all looks good. I had to rush my lunch today, so I order a soup and a grilled shrimp salad with lemon vinaigrette. It was very yummy that I finished the whole plate! Everyone else got their pastas/lasagna - they loved it. I will definitely go back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here twice, and the food is delicious!  The service is slow but friendly.  The food is well worth the wait and the prices are perfect.  This has turned into one of my favorite places in the city.  The Shrimp Toast is so................DELICIOUS!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 specials for happy hour!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.9; Sentiment_Subjectivity (from 0 to 1): 0.875 [/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: Better than Sylvia's.  Yeup, I said it! I've been there a few times...and whoever i'm with it's either fried chicken and waffles and the afrika bambaata (fried whiting) with the following sides: mac & cheese cole slaw cheesey grits french fries I know, I should venture out...but I'm hooked on that shit. Big portions, tasty, not sloppy.  The venue fits alot of people so you won't wait more than 20 min (let's say that's worst case scenario with a big group on a Saturday night). Chill place - would recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.060606061; Sentiment_Subjectivity (from 0 to 1): 0.445454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service good food. We got the devil eggs, pickled herring, burger and pork belly. Devil egg was good, but didnt stand out too much. Pickled herring w creme fraiche was amaaaazing!! Would definitely order it again. Cheese w the burger adds amazing flavor to the burger, meat is juicy and bloody! Yum. Pork belly was a major disappointment. The broth and pork belly was not cooked together so the pork belly was really dry. Flavor was okay for pork belly. Overall i would go back for the amazing herring and steer away from pork belly.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.186309524; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 BBQ, what a fun pleasant experience,5 stars for the best bacon I have ever had; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.658333333; 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: I came here for dinner once at their old location and had a really nice time, great wine selection, excellent seafood specials, the place was packed and we received top-notch service. Then we came to their new location for brunch and we were also pretty happy with it this time, but I didn't think the food or the service were as good as I expected given our first visit. The place was packed and we were enjoying the sangria from their wonderful alcoholic brunch selections. It was really crowded and loud in here but what can you expect at a brunch in NYC? I'd come back again for dinner but I thought the brunch was a little overpriced given the atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.383270202; Sentiment_Subjectivity (from 0 to 1): 0.629882155 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finding a laid back place to eat around the South Street Seaport that doesn't suck dick is tricky tricky. Just make sure that you don't come with a uppity vegetarian looking for valet service and you'll be straight. Fried food and seafood is what the deal is here. Just watch out for the blackened fish as it was a bit salty. This is the kind of place you would find down the shore with a good mix of locals and an easy breezy wait staff.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.325396825; Sentiment_Subjectivity (from 0 to 1): 0.558730159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with my girlfriend and it was nice and intimate yet communal with the shared tables. It was below the Beecher cheese place which felt like a fancy panera haha. The food was so delicious, service excellent and although pricey great for the area!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 0.775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: live jazz band during brunch WHAT?! it really made the brunch that much more pleasant. Sunday brunch was pretty stellar here. we had a party of 3 and were seated right away which surprised me because it looked packed upon entering the restaurant. although the space is small the layout of all the tables and the lighting really opened the place up. the decor was basic but elegant at the same time. I ordered the French toast and my boyfriend ordered the steak and eggs. the French toast was really good. a little too soggy on the inside for my liking but the banana and berry topping was really good. I also had a side of the slab bacon which was BOMB. if you like the thick, salty, fatty cut then this is the bacon for you! the steak and eggs looked really good. I had a small bite but from what i tried it was well cooked and seasoned just right. my boyfriend really enjoyed it though! oh and the French press coffee. I mean....how many places in queens have French press coffee available? bonus! one star off for the waitress who made a snarky comment about my bf wanting to substitute his fries for sausage instead. I get it...it's weird but the "uuuh...ok. whatever. so you basically want all protein...?" was a little rude. no opinion on the side please. thanks but no thanks. other than that, I would definitely come here again just to try more of the brunch entrees. and I may have been persuaded to come for dinner and some vinooo!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.157438282; Sentiment_Subjectivity (from 0 to 1): 0.446975547 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think that the interior is really cute and inviting. The tables are a bit low and chairs are tiny tiny but guess they're trying to be 'authentic'? The food was not so memorable but partially my fault. I went away from what i typically order and it was actually a-ok and not bad at all. Tried their house made soda and though it wasn't to my liking i could tell that there was effort put into it and think it just takes a particular palette.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.159090909; Sentiment_Subjectivity (from 0 to 1): 0.540909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dear Handy Nasty, I've been waiting to write this review to you ever since I found out that you were going to open a Manhattan location. Ever since we met in Philly a year ago, I have dreamt about your Spicy Crispy Cucumber Salad and Dan Dan Noodles. I've contemplated going to see you in Philly, but you were just too far away. But now that you're here, I have a feeling that you and I are going to be the bestest friends ever. Sincerely, Shelly ----------------------- For those of you who haven't already fallen in love with this place, I almost don't want to Yelp about this because I don't want too many people knowing about it as the wait time in its Philly locations can get wild. So what are people waiting 45 minutes for? For these dishes: Spicy Crispy Cucumber Salad ($6.95): a cool, spicy and garlicky cucumber salad that's both sweet and savory. It's pure perfection plus a bunch of MSG probably. That sauce the cucumbers sit in must be some type of liquid crack. You dip anything in it, and it will make it taste delicious. Dan Dan Noodles ($7.95): a noodle dish that's topped with bits of minced pork, some preserved veggies, scallions that sits on top of a spicy sauce made with Sichuan peppers and sesame (and/or peanut) paste. I love that as you take more and more bites of the noodles, the spiciness of the sauce slowly builds in flavor in your mouth. It is one of their most popular dishes, so you really must try it if you've never had it before. Wontons in Chili Oil ($6.95): The wontons were perfectly cooked - the skin wasn't too soft or too firm - and the chili oil didn't completely coat the wonton as I expected. In fact, it gave it just enough of a kick. I'd easily order this again. Pork Belly w/ Sweet Garlic Chili Oil Sauce ($9.95): The preparation of this pork belly dish is unlike what you normally expect at a Chinese restaurant. Instead of it being served stewed as a huge chunk, the pork belly in this dish is thinly sliced, shabu shabu style. This acted as a great medium to hold the sweet garlic chili sauce it came drenched in. Beef & Tripe in Chili Oil ($9.95): is less of a standout dish to me. This is actually listed as the spiciest dish on the menu with a level 10 of spiciness, and is one of the more traditional dishes in Sichuan food. The texture of the beef was a tad tougher than I would like, but both the beef and the tripe acted as a great vehicle for all of us to test our spicy meters. Scallion Pancake ($3.95): which came with a black vinegar sauce. It was thin enough so that every bite is crunchy and not doughy - so it was well done. Just not my favorite thing here. However, keep in mind this is a non-spicy item on the menu, so it might be a good way to cool your mouth down. Also it tastes excellent dipped in sauce leftover from the cucumber. Double Cooked Style Fish ($17.95): picked this dish because it was another one of my favorite dishes that I recall from my meal in Philly. The fish here is perfectly fried, not too greasy, but perfectly fried with a flour coating to make the outside crunchy and the inside cooked just right. Here, it's cooked with black beans, leeks hot peppers, and chili oil (duh). Pea Leaves w/ Garlic ($12.95). What can I say? This was stir-fried perfectly with just the right amount of garlic. A staple whenever I go out for Chinese food. P.S. In case you didn't know, sharing is caring, come with friends and try more dishes together, family style! This review is just a cliffnotes version of a much longer blog post here: shellyinreallife.com/201…; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.276040853; Sentiment_Subjectivity (from 0 to 1): 0.587327609 [/INST] Not Spam</s>