Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Whats good about this place is that they're open late night. A spot you would go to after the bar/club. Good fries and lots of dipping sauce to choose from. Try the honey mayo, cheese or garlic dip!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.31875; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Alas, another neighborhood gem! I came here today with my friend before the blizzard was supposed to hit. We enjoyed our hot chocolates with a mountain of whipped cream, and our generously sized crepe and panini. I will most definitely come back again, and looking forward to sitting outside during warmer weather..in 5 months.  Til then, I'll enjoy sitting indoors, cozy, warm, and greeted with Bensonhurst hospitality.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155; Sentiment_Subjectivity (from 0 to 1): 0.545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really don't know what to say.  I've had Artichoke maybe 4 times, and 3 of those times, I wouldn't say I was capable of writing a review.  Warm cheese.... mmm... tasty... great. Having tried it sober once, I have to say that the artichoke pizza (their signature) just isn't that good.  It's like they poured a can of cream of mushroom soup over the top of the pizza.  It sits like a brick in your stomach for the next 12 hours and makes you feel like crap.  I guess it's not so bad if you have other things (read: splitting hangover) to worry about.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.134090909; Sentiment_Subjectivity (from 0 to 1): 0.462878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You'd think this place would be over-hyped and overrated by now. But wow - everything was phenomenally good. Not sure I can really add anything more to what's already been said, except for the fact that this is a great place for vegetarians. I'm not anything near vegetarian but without even realizing it, every dish my friends and I ordered (we did a dinner with lots of small plates) was veg. All of it simply sounded delicious - and turned out to be just as good. Will be back soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.558002646 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 $16 steak here is a great deal - the steak is delicious and despite the small size, it's actually a very filling portion! By the time I finished my steak, I was so full! The sides are affordable and super delicious. I highly recommend getting the Pan Fried Mashed Potatoes, which look a bit like a potato pancake but is very fluffy on the inside. The thick-cut bacon is also very good - it reminds me of Peter Luger's thick-cut bacon, which is something I always crave. Now I can get something similar without having to break the bank or make a reservation a month in advance to get into Luger! Make sure you come early because they're very, very popular in the area and outside of it. We managed to catch them on a rainy night, but I hear they have wait-times of hours!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.384055556; Sentiment_Subjectivity (from 0 to 1): 0.609703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for lunch food was great,our waitress Debbie was very friendly and attentive when we entered. Food was served  in a timely   Manner enabling us to return to work on time. In addition to great service,we felt extremely comfortable due the friendly way in which we were received. David R; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.389583333; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found this place on Yelp and came here cause of the high rating, and the fact that a friend is craving for Mac&Cheese. The place is located at the lower level of Beechers' Cheese, a hand-made cheese shop. The place first won me by ambiance. Dim lighting with wooden tables make a relaxing scene. I will complain, however, that the metal chair makes awful scratching noise to the ears when people drag them with their bodies. PLEASE... pick 'em up instead of dragging them. It was like stabbing to the ears. The menu is pretty limited and simple. Friend had a regular World's Best Mac&Cheese while I ordered the Pasta. Both were delicious! I actually liked my pasta better than the mac & cheese because it's not at all that greasy. The tomato sauce for the pasta was flavourful yet light - unlike the concentrated, overly rich and greasy tomato sauce you might have tried in other places (not that those aren't good, but this will make you wanting for more, and what a great dish for hot summer). The ratatouille was a good addition but there are pepper seeds scattered through the sauce. If you cannot take spicy food at all, beware. The only downside to this dish is that the fettuccine is cooked a tad too soft and quite honestly I cannot taste the lemon thyme per indication.  Lastly, the portion is quite small (yet at a price range of 19) . It def. won't fill anyone up. The Mac & Cheese is also very good - tasty and creamy. Yet again - the mac was cooked a bit to soft, making the texture lumpy. The drinks were solid. I had The Big Stick - it's quite smooth and light. I also tried the 23 Skidoo which I like less. There's a rubbing alcohol taste to the drink in my humble opinion..... Yet all in all, The Cellar is a great dinning experience with great food, good drinks and decent service. If you are not in the mood for regular meal, you can always come here for wine & cheese. This is not only a great place for gathering with friends (large table available) but def. also a suitable one for dates.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.261149068; Sentiment_Subjectivity (from 0 to 1): 0.531121397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a spot I frequent in LES, and I typically bring friends out here. Plus: The quality of meat they use for the meatballs is really good. The service is really attentive, and the atmosphere is really cute. There's also an option to sit outside if it's a nice day. I usually get the classic meat with the parmesan cream, which are to die for. The good thing about this place is that it is really affordable and cheap. Delta: So after coming here several times, I stopped ordering the sandwiches because they have a tendency to overtoast the bread. I started ordering naked balls and just getting a side of mashed potatoes to eat with it. The mashed potatoes are a little bit on the watery, bland side though. Hm. So I'm actually quite unsure what I'll order next time since this is a common meeting spot for some of my friends. The wait time actually kind of really kills the place for me. The fact that this place is small doesn't help either. I know I'm going to end up coming back with my friends and hopefully I'll have a better report. Ratings Service/Wait time - 0.5 Food/Drinks - 0.5 Environment/Music - 1 Price - 1 Experience - 0.5 Overall = 3.5; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.149833333; Sentiment_Subjectivity (from 0 to 1): 0.424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: all this love for this place? i know the decor is nice but --come on, son...the emperor wears no clothes. hint: if a "Japanese" restaurant serves.. 1) Golden's yellow Yankee hotdog mustard with your goyoza or.. 2) comically HUGE display plates with your sauce drowned apps or.. 3) miso soup out the instant packet from Gristedes food mart.. 4) sushi that tastes like the rice came from leftover Chinese take-out.. ..you MAY be in a sub-par "Chinese/Korean" Japanese restaurant. Wish it was good. This area needs some good sushi like a fat kid needs cake..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.258333333; Sentiment_Subjectivity (from 0 to 1): 0.413888889 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very very nice breakfast - scrambled egg white with veggies were very good, that slight garlic taste makes the difference - great great hash brown, def not the usual one !; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.401547619; Sentiment_Subjectivity (from 0 to 1): 0.528095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this review is just based on 2 dishes i ordered for take out.... corned beef and cabbage:  DRY and cabbage not flavorful.  could've made it better w/ grocery store bought corned beef in my kitchen chicken pot pie:  not good; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.129166667; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AWESOME NEW PLACE. Food is great, drinks' list is amazing, this place is the real deal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.547272727; Sentiment_Subjectivity (from 0 to 1): 0.680909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with my girlfriend on a date. She said it was really good but I wasn't really impressed, just like any other burger place around that price point.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.658333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a nice little place to grab a cheap lunch. The food is very affordable here. You can get several different items on the menu and not even have spent $5. They have panfried dumplings that are 4 for a $1. If you order $2-3 of these, you're set. They also have sesame pancakes with a variety of filling options (vegetables, peking duck, beef, chicken, etc).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0390625; Sentiment_Subjectivity (from 0 to 1): 0.51875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cha-An is a haven from the crowded streets. Inside it's very peaceful and you feel transported! I had the green tea mochi and it was delicious. The tea is also very good. Overall a great place for some peace and delicious dessert!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.559464286; Sentiment_Subjectivity (from 0 to 1): 0.64 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great little place for brunch, but watch out - if you gain four pounds you might not fit in, literally, not metaphorically.  It's cash only.  Food was fantastic - delicious ingredients, cooked just right. I had salmon norwegiene and it was wonderful. Their coffee was a bit disappointing (a bit too dark roast for my liking) but other than that no complaints. I got there at 12:30 on a snowy weekend afternoon and there was no wait. But a half an hour later there were several groups waiting outside in cold for a table, which reminded me of Portlandia :) I also saw several patrons bring a bottle of sparkling wine or champagne, fixing their own mimosas.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.127827381; Sentiment_Subjectivity (from 0 to 1): 0.548869048 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is exactly what you want in Koreatown...authentic Korean, reasonable prices, minimal wait. 15 bucks for classic bibimbop. Just what we wanted on a frosty January morning; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.129166667; Sentiment_Subjectivity (from 0 to 1): 0.404166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really good food that is very fresh. The atmosphere is great. My only complaint is that they have a 1 drink minimum per a person.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.318; Sentiment_Subjectivity (from 0 to 1): 0.64 [/INST] Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best thing about this place is the decor. I love the look of it. The place is charming. It gets really busy, but I like the buzz. The worst thing is the lack of menu, at least when I went for Brunch. Yes, in theory, it should be really cool, but it didn't work for me. The waitress describes the dishes in detail, one after the other, then jots down a word per dish. i.e. spinach or fennel. As soon as she leaves, I have forgotten everything, and I generally have a great memory. Maybe its easier for some people, but I'm not able to retain all the details of one dish when you are describing another. Is it a Spinach salad or Spinach gnocchi,... fennel what?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.13912037; Sentiment_Subjectivity (from 0 to 1): 0.565740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 their decorative gift boxes which are really pretty, especially if you're getting them as a gift. Their variety of flavors were average and the macarons were on the crunchier side but nonetheless still delicious. I am a fan :); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't know if they are the best dumplings in NYC, because frankly, in the past 4 years for 2 visits to NYC a year, I haven't gone anywhere else. This time, their prices have changed a bit.  I used to be able to get 6 fried pork dumplings for a couple bucks, but now it's only 4.  Still, times are tough.  I was still able to get 4 fried pork dumplings and 10 steamed dumplings for like $7. They are awesome.  Delicious.  Service isn't too friendly, but this is Chinatown and friendly service is hard to come by.  And NO, that is not racist.  The owners and operators and employees of Chinatown restaurants that I've been to are all business.  Nothing wrong with that.  They want to serve you and move on to the next person.  It's efficient, even if a smile is hard to come by. But who cares, because the dumplings are fantastic.  Sometimes, depending on how busy they are, you may find yourself waiting a while, but they usually have a bunch of each popular type (shrimp & pork) ready to go.   They barely give any soy sauce though, so you'll have to ask for more. It's not the easiest place to get to, but it's worth the trip.  Check it out.  Also, while they have some counter top space you can eat at, and maybe a table or two, this place is tiny.  You walk up to the counter, order, and wait.  You're best bet is to leave with your food and find a park or a stoop to sit and enjoy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26399177; Sentiment_Subjectivity (from 0 to 1): 0.520987654 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've never actually eaten here, so this is based only on delivery. Oh holy moley guacamole! What could have easily been a sweaty little run of the mill joint called "burrito box" (i mean, how generic is that name) turned out to be the biggest surprise! I'll keep it straightforward. Want fresh ingredients? Check. Want tons of variety? Yep, got it. Veggie protein? No problem, we have grilled tofu. Seitan. and Veggie Pinto Beans. (I'm looking at you, Chipotle). Salad? Tacos - hard/soft? Tostadas? Quesadillas? Wraps? Burritos? Just name it. Want the flavour to kick it out of the ballpark? Okay will do. Want vegan cheese or tofu sour cream? Done. Want a gruff Mexican to answer the phone? We've got that too! Want a satisfying filling dinner for 8 bucks? Burrito Box is where it's at.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.121527778; Sentiment_Subjectivity (from 0 to 1): 0.466319444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for a friend's birthday. Loved the ambiance and the carefree attitude. The food was less than average and the server was a prima donna. Not nice people.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.020833333; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ~review for happy hour only~ If you like going to bars where you get to elbow through crowds and scream at each other to be heard over the loud music and other people also screaming at each other, then you might like this place. I for one found it WAY TOO LOUD. I go out to bars and happy hours all the time. I know what these kind of places are like. This was worse. The bartenders intentionally ignore you as the time gets close to happy hour ending. Yeah it's one of THOSE places.  Plus, the spritzer drink I finally managed to get tasted gross. What's the point in putting whole blueberries in a drink when you can't taste them? At least muddle them or something. It's a cute place with cool decor. The menu even sounded pretty good. Too bad I'll probably never go back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.163095238; Sentiment_Subjectivity (from 0 to 1): 0.663888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had reservations during the week that the pop up shop closed so I prepared myself to show up on opening day. Indeed, I did and waited almost an hour and a half with my boyfriend. Fortunately, we got seated at the bar so our backs were against the hungry, anxious eyes from waiting patrons. U & I: I love anything uni but this was pretty lackluster. There is basically a spoonful of roe, with two small pieces of uni, on top of a small scoop of sushi rice. It wasn't worth $15. Tonkatsu 2.0: Amazing. It was rich and silky and everything you want your ramen broth to be, without bring overwhelmingly salty. Its name is very fitting as it is the best tonkatsu ramen I've ever had! The chasu almost melted in my mouth. Unfortunately, this wasn't my bowl but I sure will make it mine next time! Spicy miso: I always go for the spicy ramen but I wasn't crazy about Mu Ramen's. The noodles are thick, and a little hard, and almost resemble udon noodles. I didn't really appreciate them and it was too hearty and filling. The broth lacked that appetizing kick I look for. I also wished that it didn't come with grounded meat because I feel like it tends to get lost in the bowl. Mu Ramen is definitely the best ramen joint in Queens and although I'm on the fence of giving a 4 star rating, that Tonkatsu 2.0 has won my admiration.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.156891026; Sentiment_Subjectivity (from 0 to 1): 0.556623932 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Service was slow but our waitress was very pleasant.  Price was good.  French onion soup was delish.  Flambees were ok, nothing to get excited about.  Bacon was very undercooked.  The meatloaf was ok.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.366041667; Sentiment_Subjectivity (from 0 to 1): 0.50625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very cheap and pretty delicious dumplings. The sesame pancakes are awesome. Stop by Roosevelt park with a handful in the evening for a Temple of Heaven / any real Chinese park experience.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.554; Sentiment_Subjectivity (from 0 to 1): 0.782 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excuse the bullet points. - Came here on two separate occasions: graduation celebration lunch with my sister and a random dinner. Seated in the bar/dining area the first time, and seated in the back dining room the second. I actually prefer the first one, especially if you're just coming over after a day in the city and are dressed casually. - The food is very well portioned and the sauce to pasta ratio has been consistently good in my opinion. The portions are right, which I think is essential with pasta. It is so easy to have too much pasta. - I've had the house spaghetti on both occasions and while it's heavy with the basil, I think it is worth the attention. The sauce really is what makes it special. I wish the noodles themselves were closer to al dente, but they've been close to what I would consider 'bloated' on both occasions. Perhaps they don't take in the sauce as well if they're al dente? - The bread basket. I've only had one bread basket that trumped Scarpetta's and that restaurant is closed (Upstairs at Bouley). They give you three different dips/toppings, including the essential olive oil. It's tempting to just gorge on the bread basket, but please don't.. - Scarpetta offers half bottles of wine, served in small glass decanters, which was a nice aesthetic addition to the table. I appreciated having the half-bottle option, for when one glass doesn't feel like enough but you're purposefully out to get tipsy/drunk. - The service was great both times. Patient, easy-going, and very helpful if we had questions. Not pushy, which is a huge plus in my book.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.115922619; Sentiment_Subjectivity (from 0 to 1): 0.420014881 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Have come here for lunch several times. Gets very packed around lunch obviously but the lines move fast. Really enjoy Num Pang. Dig Inn has some really good grilled chicken and the butternut squash side dish is really good as well. Excited to see the other places that are opening soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.181875; Sentiment_Subjectivity (from 0 to 1): 0.5175 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great! I've been for brunch and dinner multiple times and feel it is constantly getting better. Stellar service and food!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mew Izakaya is your classic four star place~ perfect for that casual get together, the start of your night of drunken revelry that you'll never remember, or that out-of-the-way place you just might impress a date with -tho chances are your date will have already been as Mew seems to be ever more popular these days as told by the wait during peak hours. Reservations are taken tho I've always managed to walk in. Most recently I walked in to a quiet 6pm start to their Saturday happy hour which runs til 7. Of note, happy hour does recur from 11pm til closing. The place did quickly fill up and with the noise level rising correspondingly. The staff are very cool and while the quality of the fare is typical to what you would expect for the reasonable prices offered, special regard for their 6$ green tea creme brulee.. it wasn't bad! And, watch out for their lychee makgeolli~ at something like $15 for the bottle, its tasty, refreshing, and will steamroll over you before you know it if you don't keep a wary and increasingly bleary eye on it.. bad makgeolli! Bad!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.09978458; Sentiment_Subjectivity (from 0 to 1): 0.644433107 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wasn't a life-altering burger experience, but Umami Burger is among the best I've had. The spot is clean and sleek (and under a year old), with a cramped layout but generally friendly staff. The food is definitely not cheap but it is unique and very, very satisfying. They offer a few combinations, but I went with the Original: six ounces of Wagyu beef flavored with various umami boosters, including a hint of soy sauce and five spice, topped with a roasted tomato slice, caramelized onion, a parmesan crisp, and house made slightly sweet ketchup, sandwiched between a branded Portuguese bun. Really a great burger, but not quite up to the hype. I can see myself coming back for the truffle burger (or the devious Monte Cristo burger: covered with Gruyere and prosciutto between two halves of a deep fried vanilla custard soaked buns dusted with powdered sugar and a side of maple syrup).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282777778; Sentiment_Subjectivity (from 0 to 1): 0.531111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 perhaps the best find in NYC.  My wife and I have been going here for years.  It's certainly tight (cozy may be a stretch), but the food is well worth it. My only complaint is that this used to be NYC's best kept secret...now Jehangir is famous - so it's just the best "find."  You'll need a reservation if you how to get in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.346825397; Sentiment_Subjectivity (from 0 to 1): 0.470634921 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Freemans is hard to beat.. I had Freemans a year ago when in NYC and could not wait return this year.  This place does not fall short in any category.  The drinks on the cocktail menu are amazing, try the "toms tonic". The spincach dip is the best anywhere, the devils on horseback are like nothing i have every had.  The Cheese toast is good but a bit rich for my taste. Try this place, you will not regret it.  Look for Kelli the bartender, she makes the best drinks.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.527380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Situation: I live a block away and I'm hungry. 1 - I asked if there were lunch specials and got the reaction of having two heads. 2 - not wanting to spend $30, just me and I'm just hungry, got a salad w no meat and a water to drink. ...the bill was still $25 and I left hungry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.068181818; Sentiment_Subjectivity (from 0 to 1): 0.25 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you want an unauthentic Chinese experience go to Vanessa's; there's a reason why only tourists come here. Not a bad place to eat, but definitely not great. If you want a legit Chinese meal and not just typical Sino-American bistro I would recommend getting soup dumplings at Shanghai Cafe or Joe's. If you do eat here, go with the flow and get pork and chive dumplings and a sesame sandwich. Just keep in mind that you're eating way more grease than you need to be. People rave about the prices here but it's cheaper at Prosperity and other restaurants.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.019791667; Sentiment_Subjectivity (from 0 to 1): 0.473958333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Having had lots of pizza in my lifetime I admit I thought this place might just be over-hyped but man was I quickly proven wrong! This was the best pizza ever. The combination of flavors and ratio of cheese to sauce to crust were perfection. The coal oven roasted red peppers are simply not to be missed. We stuck with the base pizza and added the peppers and pepperoni and thought the small would be too much for the two of us. It was so good we ate every bite! Service was also excellent and the atmosphere and decor were casual cool. So yes, I highly recommend this place!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.137179487; Sentiment_Subjectivity (from 0 to 1): 0.562600733 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food: 5 stars all the way.  I ordered the Shapta, which is a Tibetan spicy beef sauteed with ginger, garlic, bell peppers, and onions.  The sauce was absolutely delicious and my food came with basmati rice.  I absolutely loved it. All for $10.50!  A wonderful deal for a wonderful meal. Service: 4 stars,  They need to be quicker about refilling the water and they also forgot to bring our chutney, which was promised with each entree.  We didn't really realize this until after we left. Overall, I give this place 4.5 stars.  The food was amazing and very inexpensive, but I was sad that we did not get our chutney, as promised, so I have to dock it half a point.  I will definitely be back, though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.350694444; Sentiment_Subjectivity (from 0 to 1): 0.530555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 30 minute wait at 3pm, a twosome sat at the same table as another twosome, no alcohol and a luke warm pizza. Do not waste your time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.241666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely best hot pot I've had in the US so far (I haven't been to many but still). The food here is delicious. It's fresh, tasty, and the sauce you dip it in is very unique. I'm vegetarian so haven't had their meat personally, but my boyfriend said it's really good. Not quite 5 star because the waitress sort of stopped attending to us in the end, but she was accommodating to our needs at the beginning. As a Chinese person I think this one is comparable to some of the good hot pot spots I went to in China. Recommend it for first timers and hot pot junkies alike.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.413392857; Sentiment_Subjectivity (from 0 to 1): 0.620238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, cheap, good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came to BXL East recently, after being a fan of the other BXL... Mussels + Thailandaise was not as good as the other restaurant. Somewhat disappointed... However the staff was fantastic, so lovely.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.085714286; Sentiment_Subjectivity (from 0 to 1): 0.571428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down, the best Thai food in the BIG APPLE! with an awesome decor.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.461111111; Sentiment_Subjectivity (from 0 to 1): 0.422222222 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hi-Collar is my fave spot for a coffee + lunch combo in the East Village. This quaint Japanese cafe/bar is a counter with a small number of stools only. If you are lucky enough to snag one of the seats, you are in for a treat. Their coffee menu offers an array of beans from around the world and from various roasters, including a roast of their own (Tokyo blend) via Porto Rico Importing Co. Coffee can be prepared iced or hot with different brewing options: aeropress, siphon, french press, and drip. It's all prepared well and tasty. As for food, you cannot go wrong with the pork katsu sandwich. It comes with a super delicious salad/sauce on the side, and they even cut off the crust on the bread for all you crust-haters. Their shokudou set is a good amount of food and well-balanced. Pasta of the day is usually great too - especially the spaghetti with roe sauce, which is as amazing as you'd expect. At night, Hi-Collar turns into a bar with a chill vibe and large variety of sakes. The folks working here are cool, friendly, and not pretentious. Don't expect to get coffee or food quickly after ordering though... perfection takes time :); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.245386905; Sentiment_Subjectivity (from 0 to 1): 0.636607143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just came from dinner here with a friend -- we picked the place based on Yelp reviews and I can confirm that it is as great as everyone says. My friend is from New Mexico and said it was the closest she's come to food from home that she's been able to find in the city so far. The prices are fantastic, the food was delicious, the bottemless chips are a wonderful bonus, and the staff is really friendly and very helpful. It's a great, low-key place to meet up with a friend for a quick bite to eat at any time. I'm definitely going back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.434207459; Sentiment_Subjectivity (from 0 to 1): 0.636888112 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy smokes. Such an assuming storefront, but simply solid food through and through. You could get two kickass sandwiches at Cheeky's for the price of an entree at another restaurant. I came on a Saturday lunch, and it was still relatively quiet so I was able to snag a seat in the tiny place. Their menu is compact and to the point: just a bunch of sandwiches with meat for every kind of meat eater. I tried the beef, fried chicken and pork chop one, and it is in that order that I recommend you try it. They also have board games like Battleships, Connect Four and Sorry. It's a cute and fun, and not to mention cheap date spot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.109090909; Sentiment_Subjectivity (from 0 to 1): 0.618939394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is average and the drinks are overpriced. It's a nice place with pretty employees but nothing special.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.264285714; Sentiment_Subjectivity (from 0 to 1): 0.742857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food options for all diets. Wait can be silly long so have a plan to kill time. Their apps and beer selections can help that problem. We haven't gone back as much lately because the wait is just too long and it can get frustrating with the tourist crowd but the service is pretty good. Do be prepared for some hipster eye rolls and smart ass comments from some of the bartenders - they can't help themselves.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.066428571; Sentiment_Subjectivity (from 0 to 1): 0.616785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Salmon was great, portion was right for the price. Accommodated me despite being an hour late for my res; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261904762; Sentiment_Subjectivity (from 0 to 1): 0.628571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very interesting experience with a cuisine I've never had before.  Relaxed atmosphere, simple cuisine, and good meat dishes but nothing blew me away.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.535714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best pizza hands down!! Simple menu, BYOB and you get to watch the attractive owner twirl your pizza dough. I mean, need I say more?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.290740741; Sentiment_Subjectivity (from 0 to 1): 0.522255291 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best steak ever! If you  go to New York, NY, you have to stop by this restaurant to try their steak!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.585227273; Sentiment_Subjectivity (from 0 to 1): 0.377272727 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: awesome restaurant! intresting blend of flavors! reccomend everybody to come! casual and good for kids. i reccomend the lamb shank and the filet mignon. the  food comes out quickly and the escargot and octupus salad is divine! desserts are delicious!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.523333333; 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 went there today (Tuesday, Aug 19th) with a friend of mine. As soon as we got in, which was around 4, we got seated outside. Our serve Gina was very attentive, knowledgable and walked us through the menu, showed us what was popular and when we got to the platter section, she even let us sample their Burnt Ends. We ended up order the "Gimme the beef" platter, but we couldn't decide on the sweet potato wedges or Mac and cheese. We went with Mac and cheese but Gina brought us the sweet potato wedges (it was on the house). The platter came with plenty of food for a party of 2.  We even got free refills with our lemonade and at the very end, their complimentary apple cakes. We were the only two seated in the back but Gina checked in on us from time to time. The food was excellent, high quality and very fresh. What made our first visit worth the commute was Gina's excellent service. If you go, and she happens to be your server, you will be taken care of!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.36375; Sentiment_Subjectivity (from 0 to 1): 0.592083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friends and I were looking for a restaurant that had a comfortable atmosphere with a chic vibe to celebrate my birthday. Distilled was just what the doctor ordered.  The food was delicious, here is what we sampled: Instead of bread they give you flavored popcorn to hold you while you peruse the menu.  The mussels were amazing and very well-seasoned.  The crispy duck and waffles were unique in flavor and delightful to the palate.  The wings are their best seller simply flavorful.  Dessert was great.  To complete the experience you have to encounter "The Steven", he has enormous charisma and charm, he makes you feel like old friends.  My friends call him a "bOss", there is a difference.  I recommend this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.434090909; Sentiment_Subjectivity (from 0 to 1): 0.650649351 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have eaten many varieties of hand held meat pies from many cultures and these were exceptionally good. The two that I order were the Brasil, filled with ground beef, olives, sauteed onions and potatoes. Wonderful as they were, I'm glad I order 2 as I generously gave 1 away to a future 12 year old gourmet eater. My second was no other , the Viagra as a power burst to my taste buds with a seafood stew blend of shrimp, succulent scallops and crab-meat  combination to set your taste buds  in a frenzy. All this for less than $10! Go treat yourself.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.323106061; Sentiment_Subjectivity (from 0 to 1): 0.478787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dinner here before a show at BAM. The ambiance is great. Good vibe throughout. Clean bathrooms. Interesting wall art. The wait staff was attentive and kind. I ordered the dog. It was tasty. The crispy fries were delicious but the ketchup you dip them in was SO FABULOUS it made the fries even better. I literally couldn't get enough. I ran out before the fries were consumed. We ordered dessert. The brownie sundae with raspberry coulis is delicious. The raspberry was so fresh and tart. Awesome. Serves with a coconut based vanilla ice cream. I wanted to lick my plate. I didn't give 5 stars because I think $15 was too much for the dog. I recommend this restaurant though. And, it seems kid-friendly, as there was mats on the corner and toys and such.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.517777778; Sentiment_Subjectivity (from 0 to 1): 0.703333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hole in the wall dumpling house is popular among locals churning out dumplings nonstop. This tiny place only has seating for 4-5 guests so expect to wait if you're dining in. The pork and chive fried dumplings are one of the best bargains in the city at 4pcs/$1!!!! Although dumplings in chinatown can be had for as little as 6/$1, these are the best I have yet to come across.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.273214286; Sentiment_Subjectivity (from 0 to 1): 0.628571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't really understand all of the hype... I mean it's good, but it's nothing special. I enjoyed my time there, but I wouldn't go back. The food seemed expensive for what it was. We had a drink at the bar while we were waiting for a table. This was my highlight as its a nice ambiance with a homely feel. The bartenders were kind of rude though. I loved the lady on front of house, she was a hoot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.231331169; Sentiment_Subjectivity (from 0 to 1): 0.614448052 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dropped in for caffeine  this morning and had a great cappuccino.  I'll certainly be coming back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.338095238; Sentiment_Subjectivity (from 0 to 1): 0.44047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: awful pizza. their namesake artichoke pizza was the worst i've ever had. and their stuffed artichoke was even worse covered with cheap breadcrumbs and garlic powder.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.5; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, before I go on my rant, I will say that I came here for the first time a year or so ago and it was great. I fell in love with their lychee martinis (and the happy hour special), and the bartenders were cool and service was decent. So I have always recommended this place as a happy hour spot to friends and have been wanting to come back myself for a while now. I did so last night when my BFF decided to host a new-job-celebration happy hour there. ** BEGIN RANT ** My friends got there first and, to their surprise, were able to secure a sizable table by the front. People from our party slowly started to trickle in, myself included, and a couple of people came and went. We had one server, who from this point forward shall be nicknamed FPB (I will not tell you what that stands for, but you might figure it out by the end of the story). She took my friends' orders the first round and came back with a check because one friend had to leave. That friend asked if the check could be split; FPB said no, because we were part of the same party and table service checks cannot be split. What? Okay, whatever. My friend pays and leaves. I order a lychee martini from FPB and it comes in a timely fashion. I taste it. Hmmm, not as smooth as I remember and somehow really foamy. Maybe they used cheap vodka? I drank it anyway. Fifteen minutes in, FPB suddenly comes to our table and tells us that we have been kicked out of our table. Apparently, one of our party members went to the bar to order a drink instead of ordering from her, and FPB claimed this was the third time she's come to talk to us about how this isn't allowed. Most of us are in shock because that was actually the first time we heard anything of this. The friend who ordered from the bar later told us that FPB hadn't come around for ten minutes, so he didn't want to wait any longer. I asked FPB if we ordered something now if that would help us keep the table; FPB said no and walks away pretentiously with her nose in the air. Seriously? Unable to just sit there and take the injustice, I got up to talk to her by the bar. I told her that most of the people sitting at the table just got there and had no idea of whatever rule she was talking about. I apologized on their behalf, but to kick us out would be unfair to those who did order from her and those who just got there and hadn't even had a chance to order anything considering one of them had waited for ten minutes for service with no FPB to be found. Plus, it was my friend's celebration party, so of course we would be ordering a lot of drinks over the course of the night, and we didn't want to ruin what's supposed to be a good night. FPB rudely told me that she had this conversation with three different people (because somehow she assumed those people would tell the rest of us about this "rule"), didn't want to have the same conversation over and over again and there was nothing we could do about getting kicked out but we could still happily hang out by the bar. I told her one of our friends just got her order of chicken wings, so how would she eat them by the bar, by holding the plate? FPB said fine, she can finish the chicken wings at the table but after that we must vacate. Somewhat satisfied with the compromise but still turned off by her attitude (apparently she's not even the manager, f****** pretentious b****), I went back to tell the others the news. Somehow this got escalated to the doorman/security guard, to whom another friend was now trying to explain the situation. He said the decision was up to FPB and that we must vacate. I pleaded our case to him, and he said he will ask FPB one more time if she will change her mind. Five seconds later, he came back and said, sorry, but we need to leave the table. I told him that we had a party of eight and standing by the bar would mean blocking the walkway because there were no seats. He said there was nothing we could do. My friend said we would probably end up leaving and taking our business elsewhere. He didn't care. WOW, a party our size could easily bring business to them that night with every lychee martini we order, and you don't care? The last straw that finally broke my back? I came back to the table and somehow my lychee martini was nowhere to be seen. I still had half a drink left, and some dumb ass busboy took it away??? Meanwhile, there was a completely empty glass on the table and he didn't take that one??? F*** THIS PLACE. You don't want our money and are going to treat your customers like shit at the same time? We're NOT coming back EVER, AND I'm keeping this bad review and publishing for all to see, until you get your act together and realize what customer service actually means. Or have FPB fired. They're one and the same. ** END RANT **; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103093561; Sentiment_Subjectivity (from 0 to 1): 0.461745473 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little spot for a smoothie, juice or a quick healthy bite to eat. Hubby and I make a point to stop by for breakfast whenever we are in NYC. A little pricey...true...but you get what you pay for ;-) ps...love the decor!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261805556; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I always enjoy myself here. Good food, good service and the ambiance is nice. Love the pulled pork sandwich.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.58; 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: Don't know how to describe this other than saying sweet baby Jesus this is good.   Pretty much every person who's eaten here and written a review on yelp has mentioned the Roti Canai.  It is worth the extra 10 laps on the treadmill.  The beef rendang is irresistible as well and highly recommended, however I have no idea why the beef dish is listed under poultry.  If you love great Asian food AND don't mind the numerous  grammatical errors plentiful on the menu, this is the place to be. 20070107 - OK so I go back for more Roti Canai ecstasy and decided to try something new - Curry pork ribs and Mango Chicken.  Holy #$% this place still amazes me.  The pork just falls off the bone and has the signature Asian flavor with Indian flare.  The flavor is deep through and through so it's not just marinated on the outside.  Even the sauce is nice to pour on your chicken rice or EVEN yourself.  The Mango chicken has freshly cut mangoes sliced length wise into strips or goodness to contrast with the saltiness of the chicken.  Unlike your typical places that overcook the chicken so it tastes like you're eating home depot plywood, the chicken is juicy, tender, flavorful with a good mixture of both white and dark meat.  Maybe if I find a dish that disappoints I will really tear them a new one... but for now this Malaysian dive is worth the trek.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.094030303; Sentiment_Subjectivity (from 0 to 1): 0.504974026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sushi dinner, one of the best I've had in New York. The service is great but more importantly the fish is so so so fresh. I'm not sure why it is given $$$$. Yes, it CAN be expensive, but they also have a price fixed dinner of 5 pieces of sushi and 2 rolls for just over $20, that's a pretty great deal for me. Highly recommended, definitely go here!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321168831; Sentiment_Subjectivity (from 0 to 1): 0.630959596 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here with a friend, ordered the $28 prix fixe which is a DEAL, almost to much food... well not almost, we both took a great deal home. But it was nice to try a number of different items. The Canallini beans were delicious, the salads delicious and the pasta really good.  Nothing that I would cross neighborhoods for, but I would 100% go back if I was nearby.  The wine on tap was a great addition as well. Service was super friendly and very casual.  The whole vibe was casual and kick back.  The server could have been a little more perceptive, but her demeanor worked with the vibe of the place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.287268519; Sentiment_Subjectivity (from 0 to 1): 0.574074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Upon hearing that it was my first time at Luke's Lobster, the guys behind the counter suggested I order the "maiden voyage" -- basically their own made up thing, which is just a lobster roll, clam chowder, chips and soda. Best lobster roll I've had (though I wish it was bigger for that price)! The clam chowder was also pretty good. Pretty much what everyone else has been saying. Also, I overheard the guys saying that they read yelp reviews during their off time to see if anyone mentioned them. Well, I think you two are doing a great job! ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.372727273; Sentiment_Subjectivity (from 0 to 1): 0.671212121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best burger ever!! Pity the downtown Manhattan location had to close.  The Brooklyn location is pretty far from me - please please open another Manhattan or Queens location!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally-Gyu Kaku has opened at Times Square by Shake Shack so it's right in the heart of all things popular! Pretty swanky spot that just opened this week. I only come during happy hour times for 50% off most food and drinks-you should, too! The meats are delicious, I like the Sukiyaki Bibimbap and garlic noodles....and the drinks are fruity and tasty.  But FYI, their HH won't come until April--for now, it's 15% off your meal.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.530102041; Sentiment_Subjectivity (from 0 to 1): 0.847959184 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bit hard to find but worth the effort. Asian/Japanese cuisine with some emphasis on Kobe beef. The very knowledgeable server explained all dishes very patiently to a crowd of 6 (some of them picky eaters) and made selection easy. The food is excellent with great flavors and presentation making it a perfect evening. Good value. We are looking forward to our next visit.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.434166667; Sentiment_Subjectivity (from 0 to 1): 0.5425 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While in NYC for a brief period a friend recommended Tony's and I was so pleased with the result.  Our server was great; fast but not intrusive on the meal.  My group of four shared the chicken parm which was breaded perfectly and had the evening special shrimp with ravioli broccoli rabe.  Meal was reasonably priced and Yelps Open Table feature worked out well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.273015873; Sentiment_Subjectivity (from 0 to 1): 0.700529101 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Four stars overall, but five stars for the $28 three-course lunch deal. You really do need to try the lunch prix fixe menu. Great food, great options, great price. Highly recommended. The steak tartare was simply divine. Smooth, rich, and perfectly seasoned with a touch of heat. It was a joy to eat. The simply grilled yellowfin tuna burger was very good and cooked perfectly medium rare. It was a great light spring dish, but it needed a touch of salt. In contrast, the chips served with the burger were way too salty and I couldn't eat them. Desserts were of similarly high quality. The molten chocolate cake was luscious and devoured within seconds, and the lemon meringue was beautifully presented and managed to not be too tart. Service was awesome. I loved our waitress, who was very kind and knowledgeable about the entire menu. Also, the restaurant itself is very simply designed, but still beautiful. A lot of white with clean edges. Very modern, and I really liked it. Too bad the restaurant is far from any subway stop, so it's a bit out of the way to get to. Next time I come I must try the peeky toe crab dumpings and the butter poached lobster. Can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.392777778; Sentiment_Subjectivity (from 0 to 1): 0.591522367 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 loved this place for brunch.  I had the pork chop and waffles.  It was AWESOME.  As were the eggs that I swiped from BFF's plate :)   Only downside was the lack of a kids menu :(  Anyhoo,  I plan to return...often.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.29; Sentiment_Subjectivity (from 0 to 1): 0.96 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 loooove Locanda Verde. But I went recently for breakfast by myself and have just two small complaints: 1) it was not super busy, and the hostess and host were standing around the hosting station giggling, laughing loudly, chatting, and socializing the entire time I was there, making more noise than any of the tables. It wasn't packed, and they were very, very nice and probably just passing time, but it was distracting. Secondly the music was surprisingly more like a Denny's in the suburbs than one of the best, most sophisticated restaurants in New York. While I was there I heard the original versions of the theme songs from Sanford and Sons and Golden Girls; and that song from the Equal commercial from long ago. Not kidding-- it was as if someone had pressed the wrong button. I will come back here again and again and again for any meal and I will wait and wait and wait if I have to because the food is so stupendous and the atmosphere is great. I'm just hoping they'll fix these little things.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.192921607; Sentiment_Subjectivity (from 0 to 1): 0.49331357 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my go-to Spanish joint. Cheap prices, takes credit card and big portions. I always get their roasted chicken and chicken stew with yellow rice. Beans I mix it up between black and red mean. It's so good, but their white rice is tasty as well. Don't know how they cook it but it's fluffy and moist every time I got their rice! Beans are pretty flavorful so you can't go wrong with either. I normally like to pour it over my rice and mix it up. Yum. Their chicken stew isn't spicy, but very flavorful. The meat falls off its bones and the vegetables are delicious. Roasted chicken skin is tasty and the meat is seasoned perfectly. Just remember! if you prefer dark over white, let them know! I sometimes get their chicken soup which has chicken on bones, thin spaghetti noodles, vegetables and delicious broth that will make your taste buds swim in its glory. Sometimes it's a little bit more oily than I would have liked, but nonetheless still a very delicious choice. Just for a quick tip, their small is rice and meat in round container with beans in a small separate container. However, if you get large, the meat, rice are in separate same size round container as small and beans you get in a tall, probably 3x the small container size. So, I understand you may think small is tiny Manhattan portion, but that's not true here. Small is large and large is gigantic. I also recently tried their empanadas. They were fresh and the crust was flaky with enough meat to satisfy your hunger until you get back to your apartment to gobble up chicken and rice. Definitely worth a pop-in and definitely great to-go. They deliver too!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.026123091; Sentiment_Subjectivity (from 0 to 1): 0.529840521 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My first time at the Kickshaw and it was for a cider paired dinner. The chef at the kickshaw created a special menu paired with different ciders for cider week. Kickshaw is strangely placed-between a pollo restaurant and a Subway chain, but inside feels much like being in a hipster restaurant in Brooklyn. The metal tables, the communal wood table, the lights and exposed ceiling all lends itself to that hipster vibe. We were seated promptly after I mentioned we were there for the cider dinner and had tickets. The meal was delicious. Each course got better as it went along and paired well with the cider. We also ordered off their regular main menu- a mac and cheese and my boyfriend ordered a grilled cheese. The mac and cheese was super cheesy and flavorful. It was accompanied by a fluffy piece of cornbread. My boyfriend said the grilled cheese was delicious, though I thought it was overpriced for a grilled cheese.   Service was five star, but my friend noted that service isn't usually like that and generally when he walks in, no one really cares to seat/serve him. Ambience is very low key and cozy. I would love to come back and try more of their regular menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.167701863; Sentiment_Subjectivity (from 0 to 1): 0.482548176 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 should really give Applewood four stars.  There was absolutely nothing to complain about.  The food was good, the service was good, our waiter was able to recommend a great bottle of wine, and we even managed to snag one of the outdoor tables. The more one eats in New York the harder and harder it becomes to truly be amazed and pleased by a restaurant with so many rave reviews.  I went in with expectations that were too high and probably couldn't have been met unless Johnny Depp served me the best dinner I had ever tasted on a golden plate while angels held candles and sang in the background.  So, the three stars is purely an emotional response.  Not one bit logical. The menu is interesting, and local and seasonal are faves in my book.  We had the chilled lobster salad and scallops to start.  The husband had a fish dish for his entree, and I had the pork.  All delicious.  My chocolate pudding cake was quite good, and his citrusy cake with mascarpone was, he said, the best dessert ever. Give it a go.  No regrets.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.412885375; Sentiment_Subjectivity (from 0 to 1): 0.476936759 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recent expedition into the uncharted culinary territory of Gramercy brought me to the table of Suzanne Riva and her husband Mario's  restaurant La Follia.  Former owners of Irving Mill and sister restaurant Candela they brought Irving Mill's former sous-chef, Mercedes Bautista to head the kitchen and create delectable Italian comfort dishes at a moderate price.   The smaller 64-seat location is a new direction for the owners but Suzanne seems right at home in the elegant and cozy atmosphere.  Upon entering I am greeted by the restaurateur and led through a brick lined inner pathway to their wine bar located in an adjoining room.  I am told the wait will be 15-20 minutes, which is outstanding at 8pm on a Saturday night without reservations.   Hanging my coat on convenient wall hooks, I perch at a bar table and read over the extensive wine list laid out by color and vintage.  A quickly flustered server sends Suzanne over once again to recommend wines.  Ever the gracious host she goes though the list starting with my palate preferences before confidently recommending a dry, medium bodied red from the Piedmont region of Italy. My first sip of the Barbera d'Asti Tre Vigne 2008 revealed vanilla on the nose with hints of oak and a cherry finish.   I was pleasantly impressed both with her selection as well as the $38 price point. We were quickly seated in a soft, leather banquet at a wood block table that immediately made me miss my mother's kitchen.  For the first time I notice the mix of reggae and pop music playing in the background that seemed at odds with the décor and clientele.  It signaled the first hint of uncertainty for the young restaurant.   The menu offers a wide selection of what Riva calls, "straightforward rustic Italian food."  That is to say, it relies heavily on breads and pastas.  The exciting number of small plates, cheese options, salads and crostinis with a variety of tapenades made for a lively sampling. We started with the Truffled Egg Crostini and the Mixed Baby Insalata with beets, radish, mint, basil and ricotta.  The thick sultry taste of the truffled egg was perfectly complimented by the grilled white crostini bread.  Served with two pieces it made for the perfect sharing dish to start the evening.  The Mixed Baby Insalata was refreshing and light.  Next, we explored the hearty polenta with mushrooms and again were not disappointed.  The polenta had excellent texture to capture the woody mushroom flavors and trap all the juice.  While battling for the last bite of Polenta, our server presented our main entrees.   The Pan Roasted Rainbow Trout with oven-roasted cherry tomatoes and fennel was good but not as bold as the previous dishes.  The flavors were a bit bland and I was left wondering if I shouldn't just order more crostinis.  The House-Made Agnolotti with eggplant, burrata, tomato and chili flakes also fell short of par creating a thick doughy texture that didn't seem to sit well with the eggplant.   For dessert, we selected the Chocolate Cake with whipped cream and apricot compote.  It arrived naked of compote and I must have made a distinct look of disapproval because Suzanne swept in insisting on providing us with a new plate.  I declined, being a bit full and un-impressed with the cake in general, but her eagerness to please finally had me acquiesce to a warm and crusty S'more Panini made with Nutella.  It was surprisingly small and light despite its richness.   Our night ended on the right note and I left contemplating my next visit.  The inspiration behind the menu and concept for La Follia are strong but the entrees and music selection will need to be further worked on to really bring it up to the level one expects on date-night.  Regardless, I have a feeling my next expedition for Italian comfort food will require a reservation the next time I venture to 3rd avenue and 19th street.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.161585783; Sentiment_Subjectivity (from 0 to 1): 0.424524379 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a very solid Mediterranean restaurant that is surprisingly big inside, making it a great place to have a birthday dinner. What's even better is that their menu is large enough to have a wide diversity of foods, wide enough to satisfy all kinds of tastes. I'm not the biggest Mediterranean food fan, but there were a lot of really good dishes, including: some kind of appetizer made with green lentils (moujadara?), the brussel sprouts warm appetizer, the sausage warm appetizer, and the fries. It feels like you can get a good meal at a reasonable price if you just order a lot of appetizers/small plates, instead of going for the entrees. The cocktails here are also surprisingly good; definitely try them.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.28968254; Sentiment_Subjectivity (from 0 to 1): 0.50047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: service - nothing to write home about. i know they are trying to turn over tables during peak dinner hours (around 6:30), and admittedly their table turnover is lightning fast, BUT constantly coming over without a friendly demeanor just to see if i've finished with my food is a bit...pressuring? unpleasant? idk, wouldn't hurt to smile. pho is full of flavor and delicious cuts of meat; however, the layer of oil on top is excruciating -- how does beef broth get so greasy?!? makes it hard to enjoy slurping your soup straight out of the bowl. noodles + meat are delicious and just like pho back in the Bay which is great. i would come here again, just cause there isn't any rivalry for pho in the area, but do wish they could step it up.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.307738095; Sentiment_Subjectivity (from 0 to 1): 0.551785714 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend recommended Cafe Habana to me.  I took one look at the pictures of the grilled Mexican corn and knew I had to go. This place is TINY.  We showed up fairly late on a weeknight and we still had to wait about 15 minutes to be seated.  Crowded is an understatement for this place, but I guess that makes it cozy.   We weren't too hungry so we just decided to split the grilled Mexican corn appetizer and roast pork entree.   Okay...here's where I got a little disappointed.  I live in the San Francisco Bay Area where we have a large Mexican population, and because of that, I've been able to eat my fair share of Mexican style corn.  I'd have to say the corn that you get from the guy pushing the cart and making it on the spot for you was better.  I found the corn here to be kind of dry and hard, which could be because it was grilled, though the grilling did lend a nice smokey charred flavor to the corn.  The price was a bit unappealing too (2 for $4.25). On the other hand, the roast pork was really good!  Moist, tender, succulent pulled pork with perfectly cooked black beans and rice.  Generous portion for $10.75.  This is the dish that makes me rate this place 4 stars because I think they hit the spot for taste, quality and value.  I would definitely recommend it. Oh, we also got homemade guava and mango lemonades which were refreshing.  Don't forget to take a look at their drinks, both the alcoholic and non-alcoholic selection sounded yummy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.111082667; Sentiment_Subjectivity (from 0 to 1): 0.538598901 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good as it gets.  Waiter, super attentive...super nice and when he was helping others, another waiter came by to make sure all is well.  Also:  food, so healthy, so perfect (their use of herbs)  Selections for vegans, and good ones but chicken is also served.  They added a bar since I was there.  It was my partner's birthday and this place made it so special.  Yes, I tipped more then was suggested.  We will be glad to go there more often.  I had the chicken breast with spatzle and spinach and she had chicken pot pie (she's from the midwest originally) and said it was the best pot pie she ever had.  I noticed a lot of people had that..but check out their menu, you'll find a very wide selection of food.  Ours was dinner   They serve dinner at 5....they do have lunch during the day.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.331498599; Sentiment_Subjectivity (from 0 to 1): 0.720410831 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think I ordered the wrong item here. Maybe it's because I'm a spice fiend that I found the Moules Rochelaises [Steamed Mussels with Curry, Diced Apples and Light Cream (Chef 's Favorites)] to be far too bland and dry for my palate. The mussels were substantial and by the time I did get down to the sauce at the very bottom, I thought it was fairly decent. Which is why I'm giving La Sirene an "A-OK." I did try my friend's Kassulet Toulousain de la Maison (Signature), which was absolutely delicious. It was quite the opposite of my light meal. My friend had to get a bag to take the 3/4 of her meal home with her - it was quite a decadent feast, and came along with a veggie side - which included a delicious assortment of pureed veggies - a couple of them a bit exotic :) So her meal was quite the highlight of the evening, as we were both able to try each other's choices. Overall, I'd love to come back to try some other menu items, but I'll stay away from the mussels here for now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.206388889; Sentiment_Subjectivity (from 0 to 1): 0.598194444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here because Jenna Fischer tweeted about it to BJ Novak. If you are an Office fan, that should be reason enough to go. I trust her. If you aren't and think it's silly to go to a restaurant because of that, well let me tell you that I had a great experience here. My boyfriend and I decided to go on a Saturday night, which is always a risk for a lot of places because you know you will have to wait. We put our names down and the hostess said it would be about an hour. We really wanted to go here, so we were OK with that. She said we could wait at the bar next door. I'm not sure if she meant Supper's bar, but we ended up at their bar and as we walked in saw an open table. We asked a waitress if those were bar seats and she said yes, so we immediately sat down there! For places with a long wait I don't care if I sit at the bar tables. First they brought out great bread with a white bean/olive oil dip. I've never had this at any other restaurant, and I loved it. I would've just kept eating that. Our favorite thing was the burrata mozarella. It was so, so delicious that we kept ordering it everywhere we went to eat (have yet to find it as great as Supper). My boyfriend got the tagliatelle al prosciutto di parma and was very happy with it. I got the veal scallopine alla milanese, which came with a salad. The salad was salty (might be too salty if you don't like salty food) and delicious and I wish all my salads could be salty like that. The veal was great as well, but I had no expectations since I hadn't eaten it like that before. My boyfriend said it was very, very delicious when he tried some, and he hadn't said something so confidently about stuff I ordered in a while! Service overall was good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.361538462; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After being disappointed at Five Points, I gave Cookshop a chance (the restaurants share an owner).  I was pleasantly surprised with the decor (an airy, open space with lots of large floral arrangements).  Luckily, I made reservations and didn't have to wait in line and we were seated immediately.  I ordered the huevos rancheros (although everything on the menu looked good) and was seriously impressed.  I couldn't stop raving about it all during brunch - the flavors just worked REALLY WELL together (especially with their pickled onions).   Chris ordered the burger with bacon that was pretty good, although he thought it was a tad salty.  I have been recommending this place to basically everyone that asks for a brunch recommendation because I loved the food and the atmosphere.  I've only been for brunch, but their dinner menu looks really good so I'll have to check it out sometime (and report back, of course).; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.276507937; Sentiment_Subjectivity (from 0 to 1): 0.680793651 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Still like dell'anima better, but this place has great food, and great atmosphere in a great location.  Pasta was a highlight, especially the seasonal specials, and the cheese special was great too.  Also loved the hazelnut dessert.  Great spot that I would definitely recommend - especially for out of towners.; Max_Daily_Reviews: 9; Sentiment_Polarity (from -1 to 1): 0.505194805; Sentiment_Subjectivity (from 0 to 1): 0.738311688 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I made a reservation on OpenTable reservation ahead of time for dinner this past Friday for my mother's birthday. The food and service from the waitstaff was on point. However, I was severely put-off by the hostess' behavior. Not even 5-10 minutes after we had paid, she approached our table and without apology told us there was a party of 6 waiting for a table and asked if we could be mindful of that and leave when we could. I kindly informed her that we were waiting for my mother to return from the bathroom before leaving. Never in my dining experience have I been asked to leave a restaurant to make room for the next party, especially when dining at a relatively nice and spacious place where I had made a reservation in advance. To make matters worse, my mother overheard the same hostess telling a waitress that she was about to go "kick out" another party to make room for new diners. On my way out, I approached the hostess and patiently and calmly explained that I found her behavior and request inappropriate, to which she responded "Sorry, but as you can see we have a lot of people waiting to be seated." I couldn't believe her unapologetic response. While the food was excellent and we loved our waitress, I will not be returning to Carroll Place. I prefer to eat at restaurants where the managing staff treats customers respectfully.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.206643357; Sentiment_Subjectivity (from 0 to 1): 0.659965035 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been going to their Queens location for years in Rego Park and Jackson Heights. I've also been to their 1st Avenue location a couple of times and mostly it's been a place sought out for the low key feel so I was surprised. The food has always been fantastic but the atmosphere at this 10th Avenue is extremely vibrant and lively in a great way. A bit crowded and reservations are probably recommended. It's very upbeat and the service tonight, despite how busy it was, had been phenomenal. Their menu is a bit more colorful than the rest as well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.297222222; Sentiment_Subjectivity (from 0 to 1): 0.556944444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: what a great restaurant. We had a party of 6, we ate, we drank, we closed the place down. The food was good but the service was better.....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.348888889; Sentiment_Subjectivity (from 0 to 1): 0.447777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Average bloody mary (got the BLT choice). Mix was too thin... Ordered Huevos Rancheros and the french toast. Had to send the French Toast back because it was not warm at all and asked to swap it for the pancakes, which were good. Overall, not overly impressed, but not bad either.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.036363636; Sentiment_Subjectivity (from 0 to 1): 0.456060606 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 adore this tiny nook of a mexican restaurant! good food and great drinks. try the grapefruit habenero margarita! i had the sopa azteca on a chilly, rainy evening and it definitely warmed me up. we tried the churros too. you can't go wrong with cinnamon-sugar crusted fried dough and warm chocolate dipping sauce!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.16875; Sentiment_Subjectivity (from 0 to 1): 0.59375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with my mom and a friend for brunch. I love the decor and atmosphere. This would be a nice spot for a low key date. It's a tad bit pricey but it's Tribeca so that's to be expected. My mom and I had both had greek salads and bloody mary's. Food was good and we had a very friendly bartender that humored my mom's requests. And they give out caramels. That's a plus.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.154166667; Sentiment_Subjectivity (from 0 to 1): 0.605555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely a hidden gem. I ordered the chicken parmigiana and omg so good! Unfortunately pasta is an additional cost but likely worth it. The servers were pleasant and checked in constantly. Great spot for a first date or to gather with a small group of friends.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.144166667; Sentiment_Subjectivity (from 0 to 1): 0.643333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for brunch on Sunday morning at around 10:30am hoping to beat the brunch crowd and we only had to wait about 10 minutes for a table to open up for the four of us. The highlights from our meal were the stuffed French toast and the market sides.  The French toast was crisp and lightly sweet on the outside and custard-y in the middle, the way French toasts should be.  We also had the Copenhagen (two poached eggs, smoked salmon and Hollandaise), a well-executed dish where the English muffin was a pleasantly crunchy and chewy base for the rest of the dish.  I think the market sides are a good deal at 4 for $15 and a great way to get your daily dose of veggies. The waitstaff was helpful and attentive and even willing to accomodate an unexpected fifth person to our table.  Unlike the original Westville in the West Village, the Chelsea outpost is larger, airier and flooded with natural light. There was a small line out the door when we left, so the place does get packed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.142013889; Sentiment_Subjectivity (from 0 to 1): 0.472222222 [/INST] Not Spam</s>

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