Datasets:

syannn

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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: This place remains a solid, delicious cheap eat year after year. I always order number 29 (Gyathuk Ngopa sauteed noodles with fresh green veg) with chicken. It is SO tasty, I cannot emphasize that enough. Anyone I've ever taken here agrees, himalayan food is wonderful. I describe it as being somewhere between Chinese and Indian food -- but it taste like neither. Most dishes have a little spice, but it's a deep, flavorful spice. The noodles are never greasy, lightly crisped, just perfect. This place is BYOB, so hit up the bodega up the street before heading in, or have one of their fruity shakes.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.258035714; 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: Came to this place based on Yelp recommendations for a weekday dinner with a friend. The place is very cute -- but very small, reminded me of a small cafe in a European city. Ordered the salmon with mash and asparagus. It was fine, but a little flavorless -- I actually had to add salt (and I rarely ever add seasoning to dishes I order). It's  a perfectly fine place, but with so many other great restaurants in the area, I will probably not be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.168910256; Sentiment_Subjectivity (from 0 to 1): 0.465 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 makes absolutely DELICIOUS soba. The most tasty, fresh, japanese noodles I've ever had. Totally recommended to anyone who likes good, clean food. Staff is attentive and goes out of their way to make sure you are enjoying your food. I was with two other people when I got to the restaurant, we were the first ones seated. Within 15 minutes the ENTIRE restaurant was filled. Many Japanese people eating here, so you know it's authetic.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.330729167; Sentiment_Subjectivity (from 0 to 1): 0.573263889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 after reading about it in NY Magazine's Cheap Eats issue. Was excited to try it, but unfortunately the food was far from great. Had the penne caprese, the penne was not "al dente" but completely undercooked. (Sorry, but when it's white and hard on the inside, it's definitely not cooked through.) We ended up spending over 40 dollars there on soup, two pasta dishes, and beverages. We could definitely spend the same amount (or less) on a much better meal in Tribeca. I feel bad about this review because the staff was so nice, but alas, the food speaks for itself.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.018627451; Sentiment_Subjectivity (from 0 to 1): 0.617647059 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolutely love Bubby's for it's great portions for dinner. I love that I can choose 2 sides to go with my main dish. I always get the mac 'n' cheese. The egg-based brunches here I've found are nothing to write home about, so you might want to opt for a club sandwich. Has  a great casual, down-home vibe. No one is snooty there. Oh and need I mention that there's a photobooth downstairs by the bathrooms?; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.377777778; 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: The food here is actually pretty good, but the wait is AWFUL as is the techno music and the swarmy eurotrash you're stuck waiting with for the next hour or so. The mac 'n' cheese is VERY good, but the amount of food you get could fit into the palm of your hand!! I specifically asked the waitress if one order of the appetizer mac and cheese would be enough for a meal and she said "oh yeah!" When it came I couldn't believe how shallow the pan was and how LITTLE food there was to eat. Maybe she is just one of those girls who doesn't eat ANYTHING. If i had known, i would have ordered two, but at that point i just wanted to get the hell out of there. Also the strawberry mojitos are very tasty--and useful for trying to forget the headache inducing music and patrons.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.133106061; Sentiment_Subjectivity (from 0 to 1): 0.507272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Joe's is loud, overcrowded with tourists, and the food is subpar in my opinion. There are far better places like New Green Bo to get "famous" soup dumplings. Joe's = yawn + eye roll.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.189393939; Sentiment_Subjectivity (from 0 to 1): 0.675757576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After eating here once this place has become a standard in our takeout menu pile. When a Thai food craving hit, we decided to try out this spot. Waiters look like school kids in their matching gray sweaters, white shirts and black pants, but service is decent and the food comes quickly. I love pad see eiw, so I got the PCU noodles. Noodles are not the typical wide flat noodle that I'm use to -- instead they are more like linguini sized noodles, but the flavors are solid and the dish was tasty. When the bf tasted my dish he exclaimed, "yum!" Solid Thai food at decent prices. Still does not beat my favorite, Pongsri, But it is a decent substitute while in the West Village.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.110119048; Sentiment_Subjectivity (from 0 to 1): 0.411309524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found this place on the list of best brunch places in Park Slope -- I was absolutely not disappointed. The brunch was amazing -- I had the cod cakes which came with poached eggs on top, roasted potatoes, a yummy slaw, and toasted bread. It was beyond delicious! My brunch companion had the Hangtown Fry which was equally amazing. Fried oysters and bacon in a frittata! My mouth is watering just thinking about it. Couldn't have had a lovelier experience.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.704166667; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I could eat here nearly every day of the week. Since moving to Brooklyn I've been looking for a reliable standard of tasty food to eat on a weeknight without spending a ton of money. This is the place! Regular menu has some absolute winners -- my favorite is the linguine with shrimp, but definitely check out the specials -- been pleasantly wowed by some of the daily delicious treats. Last night had the fried zucchini flowers stuffed with short ribs over polenta with vegetables -- like a refined shepherd's pie. I could have died it was so delicious! I'm not so keen on their brunch -- the egg dishes are just not as amazing as their lunch/dinner menu, but would wholeheartedly recommend for a fantastic dinner.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.323809524; Sentiment_Subjectivity (from 0 to 1): 0.572161172 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's not even fair to call what they serve here "pizza." It's more than just pizza, it's other-wordly goodness that cannot be compared with anything else. Nearly everything on the menu is stellar and delicious. All the ingredients are fresh and wonderful. Nothing is overdone -- it's just right in every way.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.516964286; Sentiment_Subjectivity (from 0 to 1): 0.635714286 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love risotto, so it kills me that Risotteria is not better. When I got the mushroom risotto, I could hardly finish the dish because it tasted burnt (or something equally unpleasant). I've tried this place a number of times over the years, hoping that this time, just maybe, it will be way better than I remember it. Unfortunately that has yet to happen. However, the other reviewers are correct, the breadsticks are delicious -- single-handedly the best thing there -- which is sad because this place is supposed to be about risotto. I think this place is always crowded because it's on the gluten-free "must" list.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.068333333; Sentiment_Subjectivity (from 0 to 1): 0.676666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute little place with an interesting selection of tapas. I recommend getting whatever the specials are that day--they are by far the most spectacular on the menu. Enjoyed the white asparagus, the croquettes, and so many others, I can't even remember. Also our waiter was pretty dishy as well.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.32625; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fan of this shoebox-sized restaurant. It's great if you can get a table and sit down. Can't beat the prices, and the affiable man who works the cash register. Basic italian, but GOOD italian.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.224074074; Sentiment_Subjectivity (from 0 to 1): 0.293981481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decent mediterranean place. The space is very small, but the dishes are fresh and the service is friendly. A little overpriced in my opinion, and I don't understand why there's an extra charge for pita, especially with soup or hummus... Beet salad is very fresh, but too large for being JUST a beet salad. Soups are also tasty and hearty, in particular the lentil soup, but a tad on the salty side.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.110011905; Sentiment_Subjectivity (from 0 to 1): 0.519857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars Well-priced, small and cozy restaurant in the Hell's Kitchen. We stopped by for brunch on a Saturday around 11AM -- no wait, but it was freezing outside. Potato pancakes weren't the hash brown-y + apple sauce pancakes I was expecting. They were more like Indian fritters with a spicy cajun tomato sauce and sausages. I didn't love it, but the males in my company did. I'd recommend the egg scrambles. Apple pancakes were also a hit with the guys, mostly because they weren't that sweet. I prefer sweet :); Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just wanted to update since I've been here quite a few times now. Pasta here is PERFECT. Enough said.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Given how much I love Taim, it's weird that it's taken me so long to come here. Ordered: The Libby (cocktail) -- strong on the campari and way too bitter for me. Not at all sweet, as the waiter promised. Crispy Cauliflower -- my boyfriend's dream come true. Crunchy, lightly battered cauliflower with a wealth of olive oil, currants, and pine nuts. Loved the texture and flavors. Israeli Street Food -- probably my favorite dish. Warm, toasted pita with juicy chicken and yogurt. The sweet potato fries were like Maoz's, only better. Pickles in a plastic bag were interesting, and a win with the boyfriend. Beet pasta -- probably my least favorite dish, but the feta and capers were an interesting touch. It's one of the lighter pasta dishes I've had. Tasted like a warm beet-pasta salad. Chocolate mousse -- much better than I expected. There's chocolate wafer-y things at the bottom of the jar, and the bits of pistachio were delicious. LOVE this place. Will be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.305128205; Sentiment_Subjectivity (from 0 to 1): 0.63974359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, the crab toast was one of the best things I've eaten in...a long time. So amazingly fresh and delicious. I might go back to ABC Kitchen next week just to order it again. As with Jean-Georges other restaurants, this place has an amazing lunch pre-fixe. For $25, you get three entrees, and the portions are extremely generous. For instance, I ordered the kabocha toast for my appetizer thinking it would be half the size of the actual appetizer. It was the same size, and I was full after just eating that! My atlantic char was very tender and not dry at all. Loved the sauce, and tasted some of the pot roast (which was another choice on the pre-fixe menu). It was also very good if a bit heavier than my dish. I should have ordered the orange creamsicle tart for dessert. It tasted a little like a Chinese dan tat (egg tart), and was delicious! I got the caramel popcorn sundae, which was also delicious, but a tad too sweet for me. Must be getting old... Loved the atmosphere. Very clean, shabby-chic place. Service was a little slow, but the bread was super fresh and the furniture store's connected so you could technically do some shopping while you wait for your food. Would go again and again if reservations weren't so hard to come by...; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.253359375; Sentiment_Subjectivity (from 0 to 1): 0.52078125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Eh, I took a friend here for lunch after experiencing their delectable jambon crostinis at an Eataly event. Unfortunately, I was not impressed. The dishes are incredibly overpriced for their size and flavor -- there are better tapas places in the city for half the price. Anyway, we ordered the pumpkin and goat cheese croquettes. Tasty, but they would have been more of a dessert if not for the spice and dryness. Also had the fried sardines, the pork belly and pork sausage. Nothing was memorable -- pork belly was a bit too salty, and the dried sardines I probably could have made myself and just added lemon. Best dish was the orange bread pudding.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.225925926; Sentiment_Subjectivity (from 0 to 1): 0.662962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has lingered on my list for a long time, but so glad I finally went. No reservations on a late Saturday night, so we were told the wait was about half an hour. Headed over to the bar across the street, and the hostess called us when our table was ready. I was a little skeptical of the fact that Pylos's consulting chef considers herself the world's foremost authority on Greek cuisine, but the food was excellent. We ordered the Poikilia (a trio of dipping sauces with pita bread), moussaka, and the psari sta karvouna, a grilled fish with olive oil and lemon juice. Delicious -- the fish in particular was extremely tasty, and my boyfriend couldn't get enough of the taramosalata (fish roe dip). Decor is creative, with clay pots on the wall to evoke Greece, and the environment isn't too noisy. Great place for a date :); Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.196323529; Sentiment_Subjectivity (from 0 to 1): 0.661764706 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to like this place, but every dish was lacking in some way. Duck pasta was too salty, short rib looked like a tiny raft amid an ocean of root vegetable puree, and the scallops were decent but not particularly memorable. I'll probably try it again in a few years. Place has potential but isn't quite there yet!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.011904762; Sentiment_Subjectivity (from 0 to 1): 0.538095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is delicious and authentic, and going downstairs in some nondescript building in Midtown East to find Sakagura feels extremely Japan-esque to me. I've only been for lunch, but the lunch deals here are fantastic. The other day I had the soba special, which consisted of cold or hot soba and a rice bowl of eel and cucumbers. The eel was the freshest I'd had outside of Japan--maybe they import? Anyway, very fresh and make a note to visit the bathroom when you visit - it's in a giant sake barrel!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.170595238; Sentiment_Subjectivity (from 0 to 1): 0.762202381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch here. Very crowded on weekends, but if you get a table by the window, it's the perfect spot for people watching. Somehow the maitre 'd messed up my reservation and set it for the week after, but she managed to get my party a table, so I was happy. The bread basket has a variety of goodies - sweet, savory, and spicy. The French toast was amazing, though I think Extra Virgin's might be slightly better. I ordered the Benedict Johnny was a new twist for me, with the corn cakes instead of an English muffin. Loved it, and probably would get it again. Mimosa was the low point of the meal. I'm not an expert on drinks, but I ordered the raspberry cocktail, and I hardly tasted raspberries at all, despite the drink being a funny shade of red.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.309043561; Sentiment_Subjectivity (from 0 to 1): 0.521638258 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice to find a good shabu-shabu place in the city. Prices are reasonable, especially for lunch, but their lunch hours are a bit unpredictable so be sure to check before you go. We got the special beef combo for two, which was just enough food. Lots of veggies, tofu, and noodles along with the beef, so you feel very healthful and full afterward. Noise was a little bit of an issue the one time we went, mostly because the people next to us were incredibly loud.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.225212585; Sentiment_Subjectivity (from 0 to 1): 0.62930839 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Friday afternoon/evening around 4:30. 10 minute wait, though the time from seating to food arriving was less than 5. That impressed me-- was on the edge about giving 3 stars or 4.   Ordered the standard chicken ramen soup. The pork pieces were a little small and got lost in the soup, but noodles were nicely al dente, and the chefs were cheerful and talkative. Maybe too many onions for my taste though. Place is absolutely tiny, and cash only. 3.5 stars; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.11780303; 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: LOVED THIS PLACE. I typically try to avoid eating French fries since they're massively addictive, but made an exception to check out Pommes Frites. Went with a good friend on a Saturday afternoon around 3:00, and there wasn't a line at all. (My rule of thumb is that lines anywhere are generally nonexistent around 3-3:30.) The servers were extremely friendly, and when I got up from the stool to pick up the fries, they urged me to sit and brought the fries to us. Got the trio combination of sauces -- we ordered eggplant, which had a wonderfully smoky, bacon-y flavor despite being eggplant, horseradish, and the sweet mango chutney, which was subtly sweet but also delicious. I love the texture of the fries. They're crisp, and yet soft and chewy inside. Additionally, I love that there are countless crates of potatoes housed in the shop -- a sign that the fries are very fresh and NOT frozen.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.35872549; Sentiment_Subjectivity (from 0 to 1): 0.600980392 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I'm going to add to the Extra Virgin love and say that I adore this place. For brunch, the banana French toast is amazing and completely decadent, but so worth it! It's drenched in syrup, but the bread isn't eggy or soggy -- it tastes almost like a sticky bun. Dinner, I had scallops a while back. And a berry cobbler with white chocolate ice cream that was to die for. So glad I don't live in the West Village, or else I'd be totally broke... Oh, and don't miss Carrie's apartment (from Sex and the City) just a block away. Out of respect for the people who actually live in the building, I'll suffice to say that you turn left from Extra Virgin onto Perry Street and there's a privacy/keep out sign  :); Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.189848485; Sentiment_Subjectivity (from 0 to 1): 0.396666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, I've now been to Saigon Shack 10+ times. I don't know what's happened, but this place has become AMAZING. Their $5 classic banh mi is now the one I recommend to all my friends. Something about it -- it's really moist, the pate is plentiful, and the bread's crunch is mouthwatering. The bun is fantastic. The noodles are thicker than at other places (better quality?) -- they are so generous with the meat that I usually can't finish it, and the catfish bun is MINDBLOWING. The batter is tasty and not too thick (I usually don't like fried fish too much because it makes my skin break out -- vain, I know), but I make an exception for this place. The pho also has improved. Perfect for winter lunch/dinner/anything. And good service! I LOVE THIS PLACE.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.286904762; Sentiment_Subjectivity (from 0 to 1): 0.494047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went twice in one day. Get the Oxtail. Enough said.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 stars -- Better than I expected. This is like a grown-up's California Pizza Kitchen. Loved the food here, and we loved our waiter. Unfortunately i didn't get his name, but it was his first day so he was super attentive. What we loved though, was how he described the pizzas. Of the kahlua pork pizza, he said "the flavors are full of distinction." Somehow, that sold me, and it was a tasty pie indeed. Tender pork with mangoes and pineapples. My fiance's was slightly better though.  He got one of the specials: bacon + corn chowder pizza. I loved how the chowder melted into the pizza, and the bacon was smoky and chewy. Hope it becomes a regular on the menu. Strawberry trifle is not to be missed. There's dried orange peels in it, which at first I thought was a little weird, but the citrus flavor adds a wonderful tang to a sweet dessert.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.276096491; Sentiment_Subjectivity (from 0 to 1): 0.642645074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: FINALLY ate here after three years of saying I would. My cousin had told me a month ago that he experienced the best lamb of his life here, so i had to order the lamb. Unfortunately, I couldn't agree that it was the best lamb I'd ever had, but it was pretty darn good so I won't fault him for that. Ordered an orange blossom, which was a light mixed drink that was sweet and totally delightful and beautiful to look at. But I think the overall five stars goes to the sticky toffee pudding. I will be back just for it -- bits of dates mixed into pure buttery/toffee goodness with homemade coffee ice cream. I LOVED IT.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.39789916; Sentiment_Subjectivity (from 0 to 1): 0.602941176 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decided to stop by here before an afternoon at the Brooklyn Museum. I waited in line for about 10 minutes, then found out I could skip the line if I wanted a seat by the counter. Sounds good to me! I couldn't decide between the harvest pancakes and the sweet potato ones, but in the end opted for sweet potato with blueberries. Perfect potion, loved the flavored butters (lime, strawberry, and cinnamon when I went). I didn't really taste much sweet potatoes in my pancakes, but it was a scrumptious and a hearty brunch. I felt like a happy farmer. Plus, the servers were really helpful, and people in line kept pointing at my stack of pancakes...so I can't complain.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.536111111; Sentiment_Subjectivity (from 0 to 1): 0.638888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was excited by the potential for this place, but ultimately, the food is pretty tasteless. Love the restaurant atmosphere -- there's a swing, ropes, a second floor for seating, and a huge TV by the bar area. Unfortunately, like I said, the food doesn't live up to the potential. Came here for lunch with my coworkers. All of us got dolsot bibimbap bowls. A little pricey for $15, and kind of odd that they serve us miso soup (diluted-tasting) as the appetizer since that tends to be more Japanese. The food seems to be missing something -- salt, flavor...not sure what it is. I probably won't be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.084589314; Sentiment_Subjectivity (from 0 to 1): 0.617836257 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snagged a reservation for brunch thanks to their 6+ person = a reservation policy. The artichoke dip is a must, and you can ask for more toast when you're out of bread. Pancakes were surprisingly good, much better than the waffle. The waitress/waiter may recommend the trout platter, but it's highly boring and way too dry. I'd go with one of the egg dishes or the pancakes. Decent prices, and interesting atmosphere (lots of taxodermy). I'll be back for the artichoke dip!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.507407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so excited to come here, but the food didn't meet expectations, sadly. I had the sukiyaki (tapas of the day). $13 for miso soup, salad (mine was kabocha squash), rice, and a bowl of sukiyaki. The eggs and beef were well cooked, but the flavors were far too strong and and there was a thick sauce enveloping the tofu that made it a little difficult for me to eat. I'd come back to try the ice cream or the sandwiches, but definitely disappointed.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.147685185; Sentiment_Subjectivity (from 0 to 1): 0.689814815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've only tried the signature artichoke slice here. It's tasty, but overwhelming...very creamy and cheesy, with nice chunks of artichoke. I think it'd be better as a pasta dish, but maybe that's personal preference. HUGE slice for under $5, though the calories in this thing (rumored at 1600, and I believe it!) would be enough for the entire day. Wish there were more sitting/standing room. Napkins will be needed!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.191666667; Sentiment_Subjectivity (from 0 to 1): 0.702777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As many people have mentioned, the black sesame creme brulee is a winner. I literally always scratch the sides of the cup/bowl to scoop up every last bit of its deliciousness. Dim sum is very fresh, if a little overpriced, and rice dishes are generally good. They tend to change the lunch sets pretty often, but I tend to think of this place as more of a snack stop rather than a place for dinner. Entrance is a bit too cramped.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.231759259; Sentiment_Subjectivity (from 0 to 1): 0.527777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Continuing on my German adventure, I dragged my German/Austrian cuisine-skeptic friend to Cafe Katja one Saturday evening. I think I converted her though. Although I was disappointed that Cafe Katja's sausage sampler is for a minimum of two people, I was quite happy with my Austrian meatball dish. It was heavier than I expected, and the sauce far richer, but it made for a satisfying meal. My friend ordered the emmentaler sausage, of which she could hardly finish half. The sausage was delicious, but she especially liked the cabbage and wasn't as big a fan of the quark dumplings. Also tasted a sip of her elderflower lemonade. Seems like elderflower is quite the trend lately, but it was a nice drink - not overly sweet, and the elderflower flavor is quite subtle.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.160555556; Sentiment_Subjectivity (from 0 to 1): 0.647222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For my first visit to Dos Toros Taqueria, I ordered the trifecta of tacos: carnitas, steak, and chicken. All in all, the meal was good and a good deal for a lunch under $10. But the tacos were SOOO messy to eat. Too much meat for the tortilla, which wasn't a bad thing, but they could have drained the meat a little better. By the time i finished lunch, my basket was soaked with meat juice.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.073611111; Sentiment_Subjectivity (from 0 to 1): 0.527777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Funny how everyone comments on the waiters wearing Hawaiian shirts and the guy on the first photo isn't wearing one. Anyway, had a craving for noodles so got the beef stew and wonton Cantonese lo mein. Three minutes later, my meal was served on a large platter - mein wonderfully soaked in the beef stew sauce (and fat), wontons scattered throughout. I barely touched the bowl of soup they gave me on the side. For the most part, the beef was tender and flavorful. The wontons weren't anything special, but altogether a very good meal...even if I felt kind of gross afterwards for finishing it.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.375584416; Sentiment_Subjectivity (from 0 to 1): 0.51030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hmm...I've been here about twenty times, according to my punchcard. FYI, filling up the punchcard means you get free 'junk,' like plates and stuffed animals, not free food. That disappointed me. Honestly, I don't think the food here is particularly good or memorable, but the four stars are for price, convenience, and variety. Woorijip's just had major renovations, so the place looks less like a cramped deli now, and more like a spiffy buffet...though for some reason, I prefer the way it used to be. Seemed like there was more food then. On to the food: I recommend the rice cakes in the spicy red sauce, and the kimchi fried rice isn't bad either. In general, stick to the spicy foods. The tofu, jap chae, and sushi for instance, tend to be tasteless, at least to my buds. Maybe that's because they're sitting in the fridge. I also really like the glazed sweet potatoes they occasionally have in the back, and recently there's been a weird enchilada/burrito thing with bulgogi that doesn't really taste Korean at all. It has bell peppers and is wrapped in a taco. Enough said.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.036775362; Sentiment_Subjectivity (from 0 to 1): 0.513405797 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decent place for brunch. The food was well made, the space not overly loud or crowded, and the servers were nice. I had the eggs Benedict, which came with Canadian bacon and home fries. The potatoes were excellent. Frittata seemed to be the most popular brunch dish.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.494444444; Sentiment_Subjectivity (from 0 to 1): 0.811111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really excited about this place given they're related to Stanton Social and I love the Strawberry Fields drink at SS (well, I pretty much like any drink with strawberries). Anyway, reminded me that Stanton Social itself isn't that great. Both BarBacon and Stanton Social are like higher concept Cheesecake Factorys, but not necessarily with better food. I got the Bacon Torta here, which was basically a salad atop guac atop two slabs of bacon atop two corn cakes. Literally...it was like a savory trifle or an open-faced sandwich. I was not in love. We also got the mac 'n cheese, which I didn't try, and the bacon pork sandwich, which I thought tasted heavy and like a bad sloppy joe. Crowded, noisy, and not great. I'm disappointed.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.056018519; Sentiment_Subjectivity (from 0 to 1): 0.550925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great value for brunch. We came Saturday afternoon around 1, waited 30 minutes before we were seated at the bar (we were quoted 45 for a table). The prices are very reasonable, especially since a drink is included with your entree. My boyfriend and I ordered the pecan pie french toast, butternut squash soup, and short rib hash. We were hoping ordering three entrees would get us an extra drink, as it did for the people next to us, but the butternut squash soup definitely was a dainty appetizer size. French toast was the highlight of our brunch. I loved that the molasses sauce was on the side: the toast itself is quite sweet and decadent, so it was nice to pair the two at your own discretion. For some reason, the restaurant reminds me a little of Northern Spy Food Co., but definitely a Brooklyn vibe given the eighties music soundtrack (namely Blondie). I'll probably come back to check out the pork chop and cheddar waffle. Yum!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.236617647; Sentiment_Subjectivity (from 0 to 1): 0.522352941 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'll never forget my adventure getting to Ba Xuyen. On this fine day, the internet connection on my blackberry decided to break down on me. As I traipsed across Brooklyn, from wrong subway to wrong subway, I FINALLY remembered seeing that Ba Xuyen was near a cemetery and I ended up at the 9th Ave Station. Having resurfaced onto land, my usually crisp memory could not remember the exact address of Ba Xuyen. Out of desperation I called my kid sister, who happens to live in California and finished school last Friday (it'd be 1:00 PT), and literally had her navigate me to Ba Xuyen. Finally at Ba Xuyen's doorstep, I ordered the #1 and waffled between the two jellos in the fridge. I asked the guy at the counter what they were and how much they were and he told me they were only $1.50 each, so I promptly bought both coffee and coconut flavors. The food: Oh my gosh, maybe my 2-hour long ordeal to get here made me really hungry, but the banh mi was incredible! The bread was nearly a foot long, perfectly toasted, and the texture of the meat and pate was delicious! The mayo and the fish sauce complemented the pork wonderfully, and I savored the crunch from the carrots and daikon. And the staff was so friendly. The guy at the counter, whom I assume is the owner, asked me which jello I preferred. He seemed to take much pride in his establishment, and I wonder if he's aware how many good reviews he's gotten on Yelp. Anyway, I preferred the coconut jello over the coffee one, and it made for a cool, refreshing dessert. Next time I have a craving for banh mi, Ba Xuyen will be at the top of my list to fulfill it. And I know how to get there now.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.259082492; Sentiment_Subjectivity (from 0 to 1): 0.564074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recommended this place to me, so I really wanted to like it. While the place was really small and cute, with pictures of Vietnam and Vietnamese pop music playing, I just did not like the jerky as an ingredient in the banh mi. I ordered the classic pork sandwich, and the jerky gave it a very sweet taste that I was not expecting in my sandwich. Portion size, however, was perfect and I liked the narrowness of the baguette - easier to munch on!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.403095238; Sentiment_Subjectivity (from 0 to 1): 0.630238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 eating at Ootoya has spoiled me. The katsu here isn't as crispy or fresh tasting, though they are very generous with the cabbage (unlimited servings). I also ordered the oyako-don (chicken and egg over rice), which was decent since it's hard to mess up, but it wasn't particularly memorable.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.014285714; Sentiment_Subjectivity (from 0 to 1): 0.59047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brunch here was fantastic! My fiance(!) took me here before he proposed, and the food was delicious. We both ordered the specials of the day -- duck confit with hash for me, and he had some sort of triangular pasta with pesto and eggs. We also ordered a side of honeycrisp apple pancakes. They don't tell you this, but note: specials are $17, not $15 for the prix-fixe. Worth the $2. We sat in the tented area, but it was still very warm and even a bit romantic. Pear ginger juice is pretty subtle flavor-wise -- next time I go, I'd probably opt for apple cider instead. My dish: perfectly cooked eggs, generous helping of juicy, duck, and the potatoes were crispy! Side of salad with pickled beets (I think!), that were also delicious. Very large serving = happy me! We will be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.412517007; Sentiment_Subjectivity (from 0 to 1): 0.666938776 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best crepes I've ever had. I ordered the harajuku sweet crepe, which had strawberries, blueberries, and mango. Crepe had a magnificently soft yet crunchy texture, generous amount of fruits that were very fresh, and the cream was light and complemented the flavors deliciously. Only complaint was that the crepe was messy to eat. But so worth it!!!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.2584375; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3 stars for the restaurant, which is more of a place to be seen than anything else. Fare was unextraordinary, and the interior seemed more run-down looking than shabby chic. 4 stars for the bakery. I've been there on several occasions now. The pumpkin tart is the absolutely best thing to get. The pumpkin is very smooth and masterfully flavored with cinnamon and nutmeg. Too bad it's only available in the fall. Sweet potato tart is not on par with the pumpkin, but it's also good. Quite expensive, but worth it as an indulgence.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.313076923; Sentiment_Subjectivity (from 0 to 1): 0.543589744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jacob's Pickles was better than I expected since I'm always skeptical of hip, trendy places in the upper west side. We went for brunch and I ordered a coke float and the fried chicken with pancakes. Coke was Mexican coke with pretty good ice cream in a thin tall glass to keep the ice cream from melting. Pancakes were fluffy but I didn't taste the biscuit in them. Fried chicken was honeyed and pretty good. I think my only complaint would be that there was too much food -- felt a bit of food coma afterwards. Tried some of the cheese grits too, a little too cheesy for my taste but good value for the price.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.019642857; Sentiment_Subjectivity (from 0 to 1): 0.578571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for lunch with a good friend. I ordered the pizza uovo, which had a pesto sauce and egg over easy. Maybe I wasn't in the mood for a brunch-y dish since it was a weekday, but I wasn't that impressed. The bread was very soft and had a lovely texture, but I think that it had a lovely texture exactly for that: bread, not crust. No crunch in the crust at all, but the pancetta was a nice touch. I think I would have adored a slice of this pizza, maybe not the whole pizza. Dessert was a tres leche parfait -- pretty good, but a little heavy on the cake. Service was nice. Lunch isn't crowded at all, so it's a good spot for a quiet catch-up with friends.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.385989583; Sentiment_Subjectivity (from 0 to 1): 0.660729167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars. I've been meaning to eat here for years, but the menu has never appealed to me. Surf and turf tacos, meatball sliders, salad, roast chicken -- absolutely nothing special. So i went with low expectations. Lovely atmosphere, and warm service. The mushrooms were divine, the sliders were well-cooked if not hype-worthy, and the surf and turf tacos were decent. This place is in my mind slightly overpriced, minorly overhyped, and the food well-executed but quite forgettable. You're paying for the environment and location. It's a good choice if you need to eat somewhere that is safe and satisfying to everyone, but not particularly inspiring.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.139795918; Sentiment_Subjectivity (from 0 to 1): 0.621768707 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to point out that the $16.50 I mentioned is including tax. Was probably a little harsh earlier in saying $16.50 isn't a steal. In comparing to Maine, I forgot that RHLP has to actually ship the lobsters down from Maine...that's obviously why lobster rolls in Maine are cheaper. Added one star in light of that revelation and this place's service. WIll give them another shot sometime in the near future.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.004783951; Sentiment_Subjectivity (from 0 to 1): 0.423765432 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVE this place. Huge portions, very reasonable prices. This is one of the few places I prefer to go for dinner rather than lunch. The menu is larger (has yakitori) for dinner, and I actually thought that for lunch, the dishes were too heavy. Highly recommend the soboro-don (minced chicken with poached egg over rice), and the katsu toji, which is like fried pork culets with egg in a shallow broth.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.001333333; Sentiment_Subjectivity (from 0 to 1): 0.547 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 macarons. Yes, the macarons are quite sweet, small, and expensive, but flavors positively exploded -- I particularly loved the coconut one. The wait is pretty long -- I went on a weekday morning and waited about 15-20 minutes. Do wish the macarons were kept in an enclosed case, as it was a little unappetizing to see vagrant flies flit about them, but the macarons here are the best I've had in the city (so far), so I'll still be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.110751748; Sentiment_Subjectivity (from 0 to 1): 0.63041958 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decent place for curry on the go. There's chicken and pork katsu with rice and cabbage. Definitely more of a take-out place, but the food is cheap and the portions are pretty generous. The curry itself is a little too thick and heavy for me. Add that with rice and fried cutlets = not a very healthy meal, but it satisfies your hunger.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.018126781; Sentiment_Subjectivity (from 0 to 1): 0.630698006 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was very, very impressed by the size of my burrito. One of the little piggies could probably build a house made of Burrito Box burritoes, and the wolf would never bother him because he'd be too busy eating the house. But with that said, what small dent I made in my burrito was good. The rice was warm, the chicken was fresh, and the tortilla was nice and thick. But the meal left a weird aftertaste in my mouth that I couldn't place, and did the second time I went back too. A perk though: free chips and salsa when eating in or taking out.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.124166667; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place for brunch without much of a wait. I actually prefer the egg dishes over the waffles here. The waffles are on the crispier, lighter side, and I tend to prefer the dense chewy ones from Wafels and Dinges. I highly recommend the cocotte dish. Baked eggs with bacon, goat cheese, and mashed potatoes. Not healthy, but very satisfying. We also ordered the sausages and mashed potatoes, which I didn't like as much. Nice patio in the back when the weather is nice, and you can order baked goods and coffee to go at the front counter.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.295555556; Sentiment_Subjectivity (from 0 to 1): 0.548888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Maybe I ordered the wrong thing, but I just wasn't impressed. Got the apple pancake. Yes, the dish's size was impressive, but the taste was not. Rather bland, required a "drenching" of syrup for flavor, and the pancake itself was oddly salty. Orange juice was fresh, but there are other, better brunch places in the city. Just a few streets down is Extra Virgin. Don't know if I'll give this place another chance.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.13510101; Sentiment_Subjectivity (from 0 to 1): 0.531565657 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would never have heard about this place were it not for my friend, who wonderfully lives nearby. Da Andrea is larger than it looks from the outside, but its interior is inviting and very cozy. Red chairs, little vases of flowers, and open brick walls -- perfect for a casual dinner or a romantic date. My friend and I ordered the Tigelle thanks to Yelp's recommendation. The flat breads were deliciously gooey and soft, and the proscuitto was sliced thin and oh so savory and tasty. A wonderful combination, with or without the provided parmesan. We also split the parppardelle, which was served with a sausage ragout and truffle oil. By the time we got this dish I was totally stuffed from the appetizer, but the pasta was SO GOOD I finished my plate and even wanted more. The noodles were chewy and al dente, and the sauce...so aromatic and delicious. I plan on telling all my friends about this place.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.256375; Sentiment_Subjectivity (from 0 to 1): 0.613333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 1) Go between 3-4:30 PM. Minimal line. 2) If you're traveling with elderly people, take the B25 bus from the station. The sidewalks disappear and reappear down the hill, and i almost got run over yesterday while I was in the area. 3) My dad loves this place. He hates pizza and never has it for dinner, but he loves the pizza at Grimaldi's. He even suggested going here for dinner on his second trip visiting me in NYC. Repeat: MY DAD WANTED TO GO HERE. I had to clean my ears. But yes, the pizza here is very good. You can actually taste the freshness of the cheese, and they have the crust down to a science. Love it.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.170694444; Sentiment_Subjectivity (from 0 to 1): 0.419722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I liked this place more as a novelty than for the quality of the food. Came for brunch a while back, and the menu basically was so interesting that I wanted to try everything. With that said, the portion sizes are rather small, and I left with my taste buds piqued, but not exactly satisfied. Had the coconut pancakes with ginger-lime syrup -- very dainty little cakes that were quite flavorful, but again -- was not full after finishing the plate. Friend had a French toast that I don't think is on the menu anymore, and she seemed to like it a lot. Scones are quite good, but if I come back, want to try the lamington.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.1875; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a while ago, but still remember how much I loved this place. It's tiny, so the wait can be long, but sooo worth it. I ordered the Cioppino, which I don't think is on the menu any more, but I was really impressed by the portion size and the price! I could barely finish my meal, though since I really wanted to I did. Service was very friendly and welcoming, though there's no waiting area at all in the front so you either have to wait outside or at the bar next door. Come early, and not with a big party. If I were to guess, the place fits 20-30 people tops.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.252884615; Sentiment_Subjectivity (from 0 to 1): 0.361538462 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After seeing this place pop up on "Hot on Yelp" for the past few weeks, decided to stop by to see what the fuss was all about. The aroma of pork, pork, and more pork welcomes you when you enter this place. Always a good sign. Got some of the brisket, pork sparerib, and pork shoulder to go. Definitely greasy (err...juicy) and flavorful. I like that food is priced by weight, though it was a bit inefficient that there's only one scale per long line. Wish there were more sauce options, but the one offered was tasty with just the right amount of spice. Loved the bread. It was soft and reminded me of Hawaiian bread without the sweetness.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.211309524; Sentiment_Subjectivity (from 0 to 1): 0.532142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The dishes here were either hit or miss. I highly recommend anything with their flatbread/focaccia. We especially those that the beef cheeks with the hummus were a good pick. The lamb terracotta was also solid, but I didn't like that that part of the bread on the bowl was severely undercooked. Made me feel like I was eating dough. Very packed on Fridays/Saturdays. Our waiter was very efficient and intelligent, which was obviously a plus for the dining experience. Looking forward to trying brunch and dessert.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.2575; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm sorry, I just did not have a good experience here. Maybe my hopes were too high, but ordered the chicken/pork adobo and the laing with shrimp and just was not impressed. First of all, I adore taro. So I was excited for the laing, and I even forgave that the dish looked like ...well use your imagination. But there was something off about the taste, and after a few minutes both my friend and I had a scratchy feeling in our throats and lost our voices. Don't know if this was from the dish, but we didn't like it much regardless. The chicken/pork adobo was much better, but a little too vinegary for my taste. The flan was delicious, as other users have pointed out, but not enough to save my dislike of the Laing. 2.5 stars.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.128653846; Sentiment_Subjectivity (from 0 to 1): 0.569102564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 1) no tap water, byob 2) 10 seat restaurant 3) cramped quarters 4) amazing jazz soundtrack and attentive service 5) creative, ridiculously good food. I recommend whatever the special is that night. Went two nights in a room with my boyfriend and we got the kimchi bouillabaisse, the lamb shank, sea bass, and skate. The skate and kimchi bouillabaisse were standouts in my mind. Mochi in bouillabaisse = genius, and the toast was a nice touch. Get the citrus donuts and the fries. Yum!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.451020408; Sentiment_Subjectivity (from 0 to 1): 0.781632653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 twice now. The first time I entered this quaint little restaurant, I immediately felt like I was back in Asia. The open-air setting, plastic chairs, and 'noodle bar' reminded me very much of hawker stands. In a good way. Ordered the Ratchaburi Crab and Pork Dry Noodle my first time here given all its rave reviews on Yelp. Surprisingly, I didn't LOVE this dish. I thought the noodles had a wonderful tang and flavor, and that the char siu was very fresh, but the crab seemed out of place to me, and I wished there were more noodles. Anyway, I gave this place another try a week later. This time I ordered the beef noodle soup (I got suckered in by the pandan advertised on the description). I actually really liked this dish. The beef portion was quite plentiful, and the soup had an unusual fragrance that grew on me. Also got the mango and sticky rice for dessert. It was a little pricey at $7, but delicious.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.34754902; Sentiment_Subjectivity (from 0 to 1): 0.539803922 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 high expectations for this place that just haven't been met, even after two visits. The club classic is the typical banh mi -- nicely toasted bread, mayo, and pork pâté. I agree with those who say the meat cut could be thicker -- just think the banh mi at Saigon Shack is unbeatable and the sandwiches at Num Pang are better. I wish the snacks were more inventive than lays potato chips and pretzels. Maybe something that doesn't look like it was bought in bulk at Costco? My feeling is that the lunch special is $8, so that's a $6.50 sandwich and $2 drink plus a snack.  Not a particularly good deal since I typically wouldn't buy the snack anyway. Service tends to be very friendly though and the ingredients are fresh. But definitely think there are better sandwich shops in the city.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.241998299; Sentiment_Subjectivity (from 0 to 1): 0.573435374 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like this place. Good lunch deal, attentive service, and nice neighborhood. I ordered the Peu Noodle - soy sauce noodles with beef. The portion was very generous, and I was impressed by the quality and quantity of meat in the dish. Only thing is, I would have never known this place was a Thai restaurant were it not for my handy Yelp application on my blackberry. Decor is kind of minimalist and dare I say slightly black and depressing. Atmosphere could use an upgrade.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.793333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 needed to get a quick 'bite' before a concert, so stopped at this friendly neighborhood stand to get a ...banana-nutella sandwich. Haha, my sweet tooth couldn't resist. It was SO good. Toasted ciabatta, globs of nutella, and strategically placed slices of banana. Granted it probably wasn't that hard to make, but it inspired a weeklong worth's of chocolate-banana sandwiches on my end. Wish this place had seating. It was kinda awkward for me to munch on my chocolate sandwich all over the area. Friend later pointed out I had chocolate all over my face. Oh well...that's the price for eating what you like.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.151851852; Sentiment_Subjectivity (from 0 to 1): 0.465740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rather cozy (read: cramped and crowded), and the menu didn't excite me with the usual fare of poached eggs, French toast, omelet, etc., but everything is well done, and the prices are fair if the portions are not generous. French toast reminded me a little of the Trader Joe's frozen French toast, but fresher obviously. Just nothing terribly special about it. Andouille sausage and pepper hash with poached eggs was a more savory and more successful dish, but unlikely that I'll be craving it again any time soon.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.128434066; Sentiment_Subjectivity (from 0 to 1): 0.455494505 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new favorite BBQ place. We got here around 4:30 during the weekend, and there already was a long line but plenty of seats. Highly recommend the brisket and burnt ends. Sweet potato casserole was delectable, and cole slaw is great for cutting through the smokiness of the BBQ. I might opt for the sandwich option next time because it's A LOT of meat. They also have Pomme Frite's fries, but the boys decided to get cole slaw for us instead. Great prices and value. Will definitely be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.209636364; Sentiment_Subjectivity (from 0 to 1): 0.544454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'd never heard of this restaurant, and going to a place with a Wine Bar attached to its name (at least, that's how our friend named it) for brunch made me a little nervous. But Amelie (Wine Bar) is fantastic. We sat in the section with the theatre seats. They're connected in twos and ones, so they felt a little claustrophobic at first, but they became really comfortable over the course of our 3-hour brunch. I ordered the Eggs Norwegian, which was basically Eggs Benedict but with smoked salmon. Perfectly cooked, and the potatoes weren't too greasy. Bread arrived in the middle of our meal in cute hemp sacks with pebbles in the bottom to hold them down. The bread was warm, and DELICIOUS. I had so much bread... Service is a little slow, but the food was marvelous. I want to come back to dinner! Oh, and I think there's a FourSquare special, so check in to take advantage of that (for happy hour, I think).; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.21138511; Sentiment_Subjectivity (from 0 to 1): 0.559221466 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute place, quite authentic, and interesting selection of dishes. Oddly, I think that the non-hotpot dishes here are the highlights. In fact, I was surprised that my favorite dish was the foie gras inari. Not something I would usually favor, but it was so good. The inari has two servings, with a slab of foie gras on top. Somehow, the tofu skin, rice, sauce, and foie gras created a magical combination for my tastebuds. Scrumptious. The pork belly buns were also delicious. The buns themselves had a slight coconut flavor, and the pork belly was generous on meat and unami, as the Japanese would say. The okonomiyaki comes in a rectangle, which is pretty interesting. It's fresher than the one you'd buy at Otafuku (St. Mark's). the gyoza was a hit at my table, If you do order hotpot, consider adding rice or noodles -- they soak the flavor from the soup. Yum!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.339444444; Sentiment_Subjectivity (from 0 to 1): 0.627777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: At first I was a little disappointed that all of the dessert empanadas are fried, but since I trekked all the way to Hell's Kitchen, I decided to indulge and go for the fig, caramel, and cheese one. It was DELICIOUS! The empanada skin was crispy and not too oily, and the combination of the three flavors was surprisingly heavenly. Next time, I'll order two.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.16875; Sentiment_Subjectivity (from 0 to 1): 0.513888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 welcome addition to the neighborhood. Love the mix of design and food, and there was plenty of seating and outlets for people wanting to stay longer. The set for $9 is an amazing deal. I especially liked the tofu-tofu miso soup. I was a little disappointed by the riceballs though. I came around the end of the day, so maybe they weren't as fresh as they would be earlier, but got the Hawaiian and the Unagi. Spam on the Hawaiian was solid, but I thought the chili flakes in the rice were surprising and a little strange. Unagi was a little too salty for me. But the place has a lot of potential, and I'll be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.169166667; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved the pizza here. Got the twelve inch speck for $20 and split it with my boyfriend. The crust was unbelievably good. Soft yet crispy with just the right amount of thickness and the mozzarella was fresh and well sized. Twelve inch was definitely not enough for the two of us though as we wanted more!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.387244898; Sentiment_Subjectivity (from 0 to 1): 0.540816327 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stop raving about this place. Went here last Saturday around 1:30 for brunch and savored the BEST pancake of my life. Better than Clinton St. by far. It was about eight inches in diameter, half an inch to an inch in fluffiness, and full of crispy soft perfection. The glaze was a bright red crab apple, and sandwiched by slivers of moon-shaped pear pieces. SO, SO good. My boyfriend ordered the fried chicken and biscuit with Macoun apples on the side. Also delicious -- the chicken skin was crispy, yet somehow melted in the mouth with salty, fatty goodnes, and he seemed to love the flavors in the apples -- they were very nicely spiced and complemented the dish very well. For dessert we shared the bacon doughnuts. They were delicious, but we both agreed that the pancake was better. We wanted to come back for dinner, but there were no more reservations. Have already secured another pair of Traif-lovers for a dinner in the near future though, so will DEFINITELY be back. This is my new favorite restaurant in Brooklyn, and perhaps in NYC.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.244219114; Sentiment_Subjectivity (from 0 to 1): 0.519726107 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not a place I would take my mother, but gosh, these dumplings are good! The space is cramped and not particularly clean or appetizing to eat in, so I usually get to go or buy a bag of frozen pork dumplings. One bag = 50 dumplings = l0 good meals = a week's worth of lunches = $8 - a super good deal.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.334375; Sentiment_Subjectivity (from 0 to 1): 0.514583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Beautifully decorated restaurant, and very decent food. We came for brunch, no wait around 12pm. I ordered the biscuits and gravy with scrambled eggs. Huge portion compared to what my friends ordered, and it was tasty -- biscuits were crispy and fresh, scrambled eggs were large, and sausages added a nice, unhealthy touch. I'd come back for a no-fuss, no-wait brunch.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.272619048; Sentiment_Subjectivity (from 0 to 1): 0.674404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For some reason, the menu here never appears to me. It always looks boring and overpriced, but whenever I come here, I'm WOWed by the quality of the food. I've been for dinner twice, and brunch most recently. The porridge is DELICIOUS and not too sweet, and the apricot French toast is not to be missed. If they have brussel sprouts with cranberries in the fall, order them. I usually don't eat my vegetables, but I was wolfing down those brussel sprouts as if they were steak tips!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.050694444; Sentiment_Subjectivity (from 0 to 1): 0.492361111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rating is for the manager/hostess. Fonda had been one of my favorite restaurants in the city, but the service I received last weekend from the hosts was just abominable. Made a reservation for brunch on Saturday, and we arrived 10 minutes early. The manager completely ignored us until the hostess talked with us, and she said to come back in a few minutes and our table would be ready. We left for a few minutes, came back, then had to wait another 30 minutes before our table was ready. In the meantime, the manager saw us waiting but continued to ignore us, instead slapping around with his friends who worked at the restaurant. The hostess eventually  promised us the table by the window, then decided at the last minute to give it to someone else. And she never apologized for making us wait. Completely unacceptable.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.061538462; Sentiment_Subjectivity (from 0 to 1): 0.264102564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Doesn't feel as cozy as the Westville location, but food is almost as good, wait isn't as long, and they have the cobbler! West Village doesn't make it anymore :(; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.078125; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one of my favorite spots in New York, and whenever someone asks me that brainracking question: "What's your favorite eatery in New York?" my mind picks Taim for the safest, most sincere reply. I love the Harissa falafel, how the hummus doesn't leave an aftertaste of garlic in my mouth, that the pita is warm and toasted (unlike at Maoz), and the incredible date, banana, and lime smoothie. Three flavors of falafels -- you can order a sampler of each, vegetables are always fresh, and prices are always more than reasonable, sandwiches are around $5. In the fall and winter, Taim also serves a mean bowl of soup. I had butternut squash there a few months ago, and it was just as flavorful as their falafels. I love this place!!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.369431818; Sentiment_Subjectivity (from 0 to 1): 0.599772727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We must have gone on an off night because I'm being generous giving three stars. We were really excited to get a table on a Friday night without a wait. Pretty large rush of people later in the evening. Ordered the avocado tofu, which tasted more like avocado than tofu. Had to douse it in soy sauce to keep myself from wishing for a taco or chips to eat it with. Not the best start... Deep fried tofu was like a miniature sukiyaki, and the skin of the tofu slips off into a weird gooey fried texture. Fried chicken and eggplant -- eggplant was bitter and not fried as the menu implies. Mackerel was strangely gamey, and the pork belly everyone raves about was tough and served lukewarm. The best dish we had was the yakisoba, which is served inside a delicate omelet with Japanese mayo and ketchup. Also not a fan that we have to order drinks. On the plus side, service was pretty fast.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.108846872; Sentiment_Subjectivity (from 0 to 1): 0.565406162 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 family is from Malaysia, and after my dad's many years of searching for an adequate Malaysian restaurant in the States, he announced that Nyonya was the best place he had tried (thus far). We order: The roti canai -- nothing totally special here, but the roti is decent and not too oily, and the curry is nice, good for adding to rice later on. Cantonese chow fun -- a little too wet and too much gravy here, but my sister likes this dish so we order it or the char kway teo (spicy noodles) anyway Nasi lemak - traditional Malaysian dish of curried chicken, hard-boiled eggs, sardines and coconut rice. Hainese chicken -- one of the best my dad's tried. Very tender and not dry at all. Nice, light dish best served with ginger/chicken rice. Sizzling nyonya tofu - this is my favorite. Blocks of tofu layered with egg, broccoli and carrots, and smothered with delicious brown sauce. Dessert: ABC - otherwise known as ice kacang = shaved ice with flavored syrup + beans and other sweet things. Very cooling on a hot summer day. Peanut pancake -- I haven't ordered this one in a while, but it's usually pretty good. Definitely a peanut overloud though. Bobochacha - I prefer this one warm. Sweet coconut milk, sweet potatoes and yam. Love it. Young coconut juice -- my simple pleasure. Always served chilled. I love poking into the coconut at the end and scraping out all the fruit's meat. Yes...I am four years old haha!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.296949405; Sentiment_Subjectivity (from 0 to 1): 0.568839286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my review might be a little extra enthusiastic since our waitress decided to gift us (for no reason at all) with an order of the meatballs. With that said, the meatballs as well as the rest of our meal were delicious. About a half hour wait for two on a Thursday night -- not much to do in the neighborhood, but we walked around regardless before deciding to wait by the door. Prices were so reasonable we decided to order three of the main dishes: the crispy pork trotter torchon (don't order if you're on a diet), the oxtail terrine, and the pappardelle with mushrooms. The pasta surprisingly was the big winner; noodles were al dente, and the mushrooms, poached egg, and peas added just the right about of richness and flavor. Modest portions, friendly service, non-Manhattan prices. The atmosphere's a little boring -- the walls are white, the fireplace adds an element of coziness; it's like going to someone's home, but with restaurant lighting. I didn't mind it. Dessert menu is petit: only three choices :(; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.057539683; Sentiment_Subjectivity (from 0 to 1): 0.546428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 stars I've never had Zea Zealand cuisine before. Loved the creativity of the dishes. Was able to dine here for Dine in Brooklyn 2012, so a three-course meal for about $25 dollars. It was a great deal. I highly highly recommend the marmite braised baby back ribs and the fettucini with roasted beet sauce. The former is heavier, but the pork is sooo tender you really don't need a knife. I wasn't as familiar with marmite as my boyfriend, but the flavoring was deep but not overpowering or rich. The fettucine was the more creative dish, I felt. I was surprised by that the noodles themselves were beet-colored. Again, not too rich, and the beet flavor was subtle and a little sweet (in a good way). Portions are just right: not too stingy, not too heavy. I was a little disappointed by the lamingtons and molton cake. The former had really cute presentation, but it was a little dry. While the milo brought back childhood memories, the cake itself wasn't anything special. I'd recommend the cake over the lamingtons though.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.173762755; Sentiment_Subjectivity (from 0 to 1): 0.532933673 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so conflicted about this place. I love taking visitors here and seeing their expressions. I think tourists tend to like this place, because it's sort of like Italy in Epcot on crack. But as a non-tourist, I like the concept of Eataly, that there's a ton of Italian groceries and food at my disposal, but...it's a mess of a place. Firstly, I hate that you have to pay for groceries in the weird-alley of a storefront, especially when a good chunk of the groceries are ALL the way in the back of the complex. I dislike that you have to LEAVE Eataly and go to the 24th street entrance if you want to get food to take-out from the pasta place, also that the portions at said pasta place are tiny. But I do like all the hazelnut-chocolate candies, and the vast array of Italian sweets for sale. And the fresh bread bakery. So...I am conflicted.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.01875; Sentiment_Subjectivity (from 0 to 1): 0.472916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 made a point of coming here in the late afternoon to avoid the brunch crowd. Ordered the famous pumpkin pancakes with cinnamon yogurt, which was scrumptious for the first dozen bites or so, but afterwards, I wished I had ordered something else or brought someone to share with.  Still, decent fare and generous portion. Service was ridiculously slow for the place being more or less empty. I waited 20 minutes for my server to FINALLY bring me my check.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.061111111; Sentiment_Subjectivity (from 0 to 1): 0.562962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, surly girl is gone. The food is awesome, and it makes me smile again. Highly recommend the catfish sandwich, the pork belly sandwich, japanese yam, and the grilled corn. Again, the bread is perfect, and the meats are succulent. GO HERE.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.493333333; Sentiment_Subjectivity (from 0 to 1): 0.523333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Solid Greek place in the Upper West Side. This restaurant is A LOT bigger than it looks -- there's an entire floor below the main part of restaurant, but even then I'd recommend making reservations for dinner. Either way, this place is good for anything: catching up with friends, a casual date, a fancier date, a birthday party... There's a nice lunch combo special for about $10 that's soup+sald, soup+sandwich, as well as an early dinner special for $16.95 that I still have yet to take advantage of. The early dinner pre-fixe especially seems like a great deal. Appetizer+entree+dessert! On to the food: I highly recommend the pita + dips and the meatballs. The latter is perfect for scarpetta-ing, and the former comes with a basket of fluffy pita. Yum! Grilled octopus is also a great choice, but I think I slightly prefer the version at Dell'anima. The lamb shank with orzo is delicious...not as big a fan of the pastas. The rabbit pasta tends to get a lot of attention, but when I ordered it the meat was dry and the noodles themselves were forgettable.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.171446886; Sentiment_Subjectivity (from 0 to 1): 0.479789377 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Charming (if you can say that about a Szechuan restaurant) new restaurant that has spice levels next to every dish. The waiter told us that a 10 will be very uncomfortable on the bowl/bowels the next day, *ahem* if you know what he means... I've had the string beans with minced pork, which is pretty solid and not spicy at all, as well as the dan dan noodles and mapo tofu. I don't tend to love super spicy foods since I think all the hotness masks the flavors, but the food here is pretty good. I think I still prefer Szechuan Gourmet or Lan Sheng in midtown though. Their rice portions are pretty stingy.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.205808081; Sentiment_Subjectivity (from 0 to 1): 0.618434343 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 now have a favorite restaurant in NYC. My friends and I loved this place so much we came twice within three days. LOVED: The bacon-wrapped dates (second time, found out we could just request dates because neither of us is a fan of olives) Spare Rib -- the noodles are some magical beet infusions that are oh-so-pretty and delicious The beet salad -- ridiculously fresh and tasty The Catalan flatbread with the truffles. YUM. Also tried the goat cheese balls in honey and lavender, which I was surprised to find I liked, the sea urchin risotto (probably my least favorite), the sweet potato ravioli, and the almonds (tasty, but not as amazing as the waiter made us think it would be). My only gripes about the place are the inconvenient reservation policy (must confirm on day of), and that the desserts weren't particularly great. But loved the savory food so much that I forgive them. Only accepts AmEx.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.3425; Sentiment_Subjectivity (from 0 to 1): 0.735 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars Excellently priced food, but I wish the quality were slightly better. The pastas seem doused in sauce and a little too al dente, meat is too salty for my taste, and the $5 glass of wine tastes like a $5 glass of wine. Service is friendly if sometimes brisk, and I like the cozy atmosphere. I'd go with the second pasta on the list (the rigatoni with tomato cream sauce).; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.247916667; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quite a trek to get out here, but it was worth it. I tried the pork noodles - three different types of pork and wide rice noodles. It was decent, but the real winner was the sticky black rice and taro dessert. It was, in short, AMAZING, and I will be back for more.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.42 [/INST] Not Spam</s>