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: The pumpkin, farrow and pepetin entry was amazing!  Tasty, substantial like a cassoulet.  I had the burger and fries. The burger is a solid staple very delicious and awhile I'm not a big fries guy, I ate more than my fair share. The saltiness and crispyness of the fries made for a delicious treat.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.564285714; Sentiment_Subjectivity (from 0 to 1): 0.642857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was ok. The pancakes were not that good. the Bacon was really good and made up for the lackluster pancakes. I got the banana walnut pancakes and the bananas were an after though on some plain pancakes. The bacon was meaty and well cooked.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.421428571; Sentiment_Subjectivity (from 0 to 1): 0.514285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm so torn!!! The ambiance of this place ROCKS! The many different rooms and they're all cozy. The  polished copper everywhere is so comfy.  The lighting is...it's dark is most of the rooms - but I like that. Absinth bar - cool. Whisky bar - cool.  Slab bar - cool. The food is 'ok' and not overpriced at all!! ($20 - $40 for an entree isn't bad) The drinks on the other hand - overpriced!! but I get it - I'm in the financial district in NYC, George Washington.  Yea, yea, yea... The people I were with were satisfied.  A burger came out on a pretzel bun - good. There wasn't a flake of Pot Pie left - good.  I had fish and chips - blech!  And all the fries were super salty.  (I love salty...but I love when I pour my own salt on)  Someone had the corned beef and cabbage and the amount of cabbage and potato they put on the dish was embarrassing! Seriously, it's cabbage and potato - load it up! They're cheap grocery items! And he said that dish was 'ok'. The two stars are for the stomach cramping due to the fish and the service.  Like I've read in the other reviews...they need to brush up on politeness and attentiveness and the chickies need to stop giggling at the guy in the suit because he's not buying you a LV bag and a Michele watch...he's just a slob in a suit.   We were in a room with a juke box so the music was good - it was what I picked! lol The group that I was with wants to go back when they visit NYC again...but I think we're gonna try the Bavarian Bier House next.  Hmmmmm; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218632392; Sentiment_Subjectivity (from 0 to 1): 0.526612903 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want to eat at Lucali for the rest of my life. Or maybe one day I'll be so rich that I can build a mini-Lucali's in my basement so I can eat it every day.  Absolutely delicious calzones and pizza, a warm atmosphere, and BYOB. Aside from the wait (we called ahead and were able to be sat at 9), the only "beef" I have is with the prices of toppings: $3/each and the night's special of artichokes was $8! Nevertheless, we had 6 people and got a ton of food, and the bill was only $21 each.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.417346939; Sentiment_Subjectivity (from 0 to 1): 0.792346939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reading good reviews for Zest a friend and I tried it for lunch and we REALLY liked it! The happy hour prices were great and available to us at lunch time on a Saturday. 3.50 for a glass of wine.  Very cheap! We both had lunch specials with curry and an order of dumplings for an appetizers. They dumplings were great!  The lunch special came with cream cheese dumplings, 2 california rolls and rice along side the curry. Everything tasted very fresh.  I would definitely come back and recommend it to others.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.531558442; Sentiment_Subjectivity (from 0 to 1): 0.63012987 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wanted pancakes within close proximity to our hotel.  Found this on Yelp.  It is a very small place, with two or three tables and counter seating.  The food was very tasty and the service was very fast.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.045; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decor is great, staff is friendly, vibe is solid, food is just OK. Hit this place up the other night when my friend and I ran into the big CLOSED sign on Mission Chinese Food. We Yelped and wound up in this incredibly well-reviewed Mexican joint at Houston and Orchard. As we entered, the lights were low, the place was packed, and Hall & Oats was blasting through the stereo. I was instantly a fan. We got seated immediately despite the crowd and were soon feasting away. The Guacamole is EXCELLENT. The only thing better, is the chips! They are small, but sturdy triangles that you feel like you could withstand even the most aggressive scooping activities. It was an amazing start. But I have to say that's where the amazing stops. I got a the Refried Bean Tostada and it was...uh...bad. It was bad. It was basically a chopped iceberg lettuce salad on top of a soggy tortilla with a scoop of so-so watery refried beans on top. I had to dig under the lettuce to the tortilla that was bending and falling apart as I tried to pick it up. The beans and lettuce both just fell off into the bowl and I spent the rest of the time hacking at the tortilla with my knife and fork. The lettuce chilled the beans immediately so it was like eating some sort of cold bean salad. It was...bad. Then, I got a chorizo taco and a chorizo quesadilla. The taco was basically just chorizo scooped out onto a flour tortilla. If there were other ingredients, they were unmemorable. The chorizo was so greasy that the tray in which it was served contained a fluorescent orange pool of grease with my sad taco sitting in the middle of it. Picking up the taco, it dumped grease like a badly leaking faucet. Finally, and fortunately, the quesadilla was good. Same greasy chorizo, but mixed with tasty melted cheese in a flour tortilla that was actually able to be handled. It was delicious and satisfying. If I could do it over again, I'd have just gotten two of these. Finally, the bill was $20 for my stuff, which in retrospect...is just too much. Too much for mediocre food. I live in Bushwick around the corner from the tortilla factory where I can get one quesadilla for $5 and be stuffed. So I'm spoiled. But, I don't feel the food at this joint earned the prices. You should be able to get your eat on for $15 or under for what they're serving up. In summation, great vibe, not so great eats. It may be a case of just knowing what a place excels at and then ordering that. But I was disappointed in the food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.181919192; Sentiment_Subjectivity (from 0 to 1): 0.563888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 all the way from flushing just to try out this modern twist vietnamese sandwich shop. I ordered the #2 which was the lemongrass chicken without the egg and my fiance got the #3 which was the bbq pork without the egg but with added spicy sauce. Pro: lemongrass chicken sandwich was delicious!! Sandwich size was pretty large. Decent pricing it was $5 each sandwich. Favor of the lemongrass chicken was amazing. Pretty good balance of the vegs and meat for both sandwiches. Bread was toasted just right and I love the crunchyness everytime I bite into the sandwich. Free unlimited siracha sauce on the table for that extra kick of spicyness! Con: the bbq pork wasn't what we were expecting it to be. It didn't have any bbqish favor and felt like process pork said my fiance. Seating is limited and most likely you will have sit or share your table with strangers. Overall it was worth the experience but I wasn't full and satisfied. I should have gotten the banh mi fries because it did look good when someone sitting next to us ordered it. Next time I will get the bulgogi sandwich and this time with an egg and a side order of banh mi fries.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.201809524; Sentiment_Subjectivity (from 0 to 1): 0.586952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meh - I was somewhat disappointed by this.  J and I ate at the bar on a weeknight without a reservation. When we got there around 7pm it was fairly empty, but it filled up quickly. Its a set 5 course menu here and it changes.  I loved the scallop sashimi to start and I was bowled over by the desserts - a chamomile icecream and then a yogurt icecream with a beet sauce over a hazelnut crema (AMAZING - I want a jar of that for my fridge) which was tart, surprising and wonderful. Sandwiched in between was a fish course (too salty) and some pork (oddly leathery and tough) which I'd rather forget. This would have been four stars if not for those two courses - but they were supposed to be the main ones.   I'd give it another changes - perhaps they just had a bad night with proteins; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.149537037; Sentiment_Subjectivity (from 0 to 1): 0.661111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 yet to come here for brunch. Dinners here are always such a pleasure. Cafe Cluny is one of those restaurants that bank on ambiance. The restaurant is warmly lit with candle light which gives it a really romantic feel. It can be a little too cozy though. And often times you will be in other peoples conversation. Just work on mouth reading and you and your date should be fine. The food is really good. The pork tenderloin paired with mouth watering pairs is my favorite. The chicken too. The restaurant also offers a nice selection of wine that pairs perfectly with the menu. Great little spot on such a cute street.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.239814815; Sentiment_Subjectivity (from 0 to 1): 0.651388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lots of separate dining areas and decorated like an anthropology catalog. Servers were not very friendly or attentive. Very tight places. The artichoke dip was good, super hot though so don't burn your mouth. Pork sandwich was average. Sure, it's cute that it's in a hidden alley, but overall, I feel it's more hype than anything else.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.20752442; Sentiment_Subjectivity (from 0 to 1): 0.574577737 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would choose this place to be the location of my last meal. The fresh and deliciously seasoned seafood paired with a bib and gloves is a match made in heaven (there is something exhilarating about diving into your food without worrying about etiquette). The place was packed when we came here around 7pm. A staff member told us the wait would be around 20-30 minutes. She took down our number and told us that she will text us when the table is ready (awesome!). We were actually able to sit down quicker than we expected. They offered us that particular table only if we could finish our meal within 1 hour (I don't think this is common. They probably had some reservations). We took that opportunity because we were just so hungry and excited after we saw the menu. When we got to the table, we sat down and they began to equip our station. - Huge stack of napkins - Cup of chilled water - Gloves - Bibs (someone helps you put it on) - Bucket All appetizers come with Cajun fries. The portions are small. We got the chicken fingers (2 pieces) and the soft shell crab (1 crab). Also, we got the shrimp and crawfish combo with the Boil special sauce. It came with corn, potatoes, and sausages. All items were boiled together which created a delicious bag of seafood. Everything tastes amazing. It was more than enough for two people. We managed to finish in one hour. Woohoo! No one rushed us though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.197172619; Sentiment_Subjectivity (from 0 to 1): 0.573462302 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 neighborhood joint, with fabulous beer list and great food.  Affordable and friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.59375; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The first time I had the pleasure of dining at Sushi Yasuda I considered it a life changing experience. I was taken here for my birthday years ago, while Chef Yasuda was still performing his art of sushi making at the head of the sushi counter. I had the omakase at the sushi bar as one should to get the full tale of what the restaurant is about. The sushi was by far better than any of the sushi I've had in the past. Our sushi Chef was attentive and informative. At the end of the meal I was asked if I enjoyed his selections and if I would like anything more. I figured it was my birthday and the tab is on someone else... why not right?! I can be such a glutton sometimes. So I asked him to surprise me with a few more selections and I also mentioned my favorites throughout the night for a few repeat orders. I continued to eat which lead me to order more sake! The service was on point and I left a very happy man. Since the eye opening experience I have had more opportunities at more fine sushi restaurants. Many were good but Yasuda still had my heart. Naturally I had to eventually end up coming back. Naturally, I wanted to give it 5 shining stars as I remembered it, but my past visit fell short. I want to give it closer to 4 stars because the sushi was still fantastic, but the overall experience was just not on par with my initial visit and I'm hoping the 3 star rate will show the contrast of experiences I had from my first visit and my most recent one. I was able to book a Tuesday night reservation at the sushi counter for two within just a few days notice. I was given the choice of 6:30 vs 9:30. The man on the phone quickly blurted out that the 630 seating would mean that we would have to be up by 8. I'm pretty sure the first time I dined there I was there for easily over 2 hours. I hate being rushed so I opted for the later seating (9:30) which was around the time of my first visit. This is one of the things that have seemingly changed since the departure of Yasuda. I did not have the pleasure of being able to satisfy my glutton needs. I received a stern last call from the waitress on the kitchen which followed by the sushi chef asking if I wanted a couple of more pieces because he is done. I mentioned a few favorites which he prepared at once to serve as oppose to the usual piece by piece. The worst part is I feel like the cut throat service really the experience I was trying to show my friend for her birthday. I mentioned that the dinner was for a birthday and the host who took the reservation asked male or female for the birthday person, thanked me, and hung up. I thought that something was going to be accounted for come time for dessert. To her dismay the mochi that was served to our neighbor was not presented at the end of our meal, nor was the option to order it since the kitchen was closed. The check was dropped well before we finished dining and the waitress tried to clear my plate while I still had my geoduck sashimi still on it! It's possible that removing our option to tip is slightly affecting the servers carefulness towards the customers. Regardless of the reason, I don't feel like they should be so aggressive with turning the tables considering I paid 200 a person for the dinner. The worst part was that I had the last seating. Not like anyone was waiting for my seats. The saving grace for the meal was the sushi. The standards of the food are still top notch. Fractions of a star are deducted for adding sea salt to pieces that it really affected the flavor of the fish coming through and for a couple of pieces having too much wasabi. Albeit minor mistakes, they were mistakes that I did not experience the first time. I felt a small sense of urgency from the chef because it seemed like everyone just wanted to pack up and leave. If I could give 3.75 stars, I would. The sushi is still close to a 5, but the service has come down to a 2. My first experience was an easy 5 overall. I want to love sushi Yasuda again. Chances are I will be back to give them another shot. I hope I just caught them on a slightly off night.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.128686005; Sentiment_Subjectivity (from 0 to 1): 0.420905992 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mom was in town for the weekend and we stopped here for a quick bite before the show. It was busy with the pre-theater crowd but we got two seats at the bar right away. Got pretty attentive service which was great because we were in a rush. We both got salads and soup and wine. Decently priced (+ a little more cuz you're in the theater district) but definitely a good spot for a quick bite. Will be back if I'm in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.306795635; Sentiment_Subjectivity (from 0 to 1): 0.562698413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really enjoyed the bronte burger and their paninis are great. I wasn't a fan of the pumpkin salad... it was a bit too dry. The service isn't the best because there's usually just one person working the floor, but since the place is the size of a closet it's easy enough to grab their attention. I enjoy the trendy rustic feel of the decor and listening to the australian accents of the staff.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.341666667; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great space. Potato Waffle Benedict is amazing but the Salmon Eggs Benedict just didn't seem fresh to me. It may be the Salmon... French Toast is awesome!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.54; Sentiment_Subjectivity (from 0 to 1): 0.63 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tasty brunch menu here.  Got various combinations of eggs, hollaindaise sauce and potatoes for $14 (including a drink.)  Bloody Mary's were good too.  Lots of kids at the bar, if that's your thing; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.033333333; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Totally great polish food, they bring you some amazing cut up carrots, cabbage and other things as an appetizer when you sit down. The veal cutlets were lovely and we got them with an egg on top which made them more russian style. I'm not a big fan of pierogis, so I won't comment on the ones I tried here, by my GF was a big fan and says they're better than veselka. Oh, and the decor is amazing and its cheap as sin.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.316880342; Sentiment_Subjectivity (from 0 to 1): 0.489529915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such a treasure; feels like you are at your Italian grandmother's for dinner.  Food is amazing!!  I left a favorite scarf there, and they graciously shipped it to me in Baltimore - so kind!!  Will definitely return for a third time!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.296875; Sentiment_Subjectivity (from 0 to 1): 0.475 [/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: Usually I don't write reviews but  in this time is an exception ......I came Saturday night  with my friends the place was a little crowded  our  server was horrible  very unprofessional  the food in general was totally bland and disappointing.... We never recommend this place to nobody.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.279166667; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/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 one of the original cantonese noodle place back in the days when there weren't too many around.  The food was quick and simple, selections from noodles, roast duck, chicken and ribs, and some typical cantonese dishes.  Given the fact that there are so many similar place like it these days,  I've been there too many times to prove myself that I won't go back there considering the lack of hygience and service, in addtion to horrible attitude (one of the old female cashier got the nastiest attitude even though i asked politely). I mean everyone knows you goto most chinese restaurants for food, not service, but I refuse to pay for nasty attitudes.  The reason it's getting 2 stars is the food is original, and it opens late.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.009791667; Sentiment_Subjectivity (from 0 to 1): 0.493065476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: delicious!! Delicious!! DELICIOUS!! Mac attack was yummy in all its cheesy goodness. My girlf had the calamari salad. She said it was "so good". I had the salmon blt, which was ok... But I couldn't finish it because I kept nibbling on the mac attack. The drinks were also magnifique! Coconut Martini and Blackberry Margaritas are a must when you're there! I will be going back really really soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.52890625; 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: avococado toast , couscous, hearts of palm salad, long island riesling (at the time i went it was byob) prob not anymore. very enjoyable place to take your squeeze.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.59 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The ramen itself was a bit soft however the soup base still taste the same. I love their desserts! Matcha Brulee was heavenly good. So is the green tea ice cream cheesecake. I only waited for 10 minutes on a Sunday afternoon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.060714286; Sentiment_Subjectivity (from 0 to 1): 0.567857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 feel like this is a place that operates on its own rules.  I don't really understand how the menu works (there is one copy, a print out stapled together, I guess it changes sometimes?). The food is ridiculously good.  I got my $9 out of that sandwich somehow.  Crusty bread, delectable meat, well-executed gourmet fixins.   The owner seems serious, up to the serious task of cooking all of us a substantial dinner full of flavor, thought and heart.  And probably better than anything I could cook on my own. Minus one star because he always seems to be barking something unpleasant at the employees, which is off-putting.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.153333333; Sentiment_Subjectivity (from 0 to 1): 0.623333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mussels I have ever had! Filet mignon and dessert was spectacular; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I liked Casa Enrique a lot. Having lived in Arizona for a while, I am very judgmental of Mexican food. Most of it in NY is terrible. But at Casa Enrique the mole is delicious, the guacamole is great, the prices are fair, and the portions are very big. I probably would have given 5 stars, but it currently has a B rating. Seriously, clean the damn place. There are a lot of people who won't eat anywhere that's rated less than an A. The only reason I went was because my friend's engagement dinner was there.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.230769231; Sentiment_Subjectivity (from 0 to 1): 0.580512821 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 restaurant is amazing! I've loved it since before it opened (I have to admit that I know of the the peeps behind the scenes, but I am not biased) and finally got the chance to experience the restaurant on their first night of evening hours. Now, again, if I go to a restaurant that I've never tried before and it has a burger on the menu, I will automatically order the burger, even if I throw out the idea of trying something else. Nope. Burger. Why? Because if you can make a good burger chances are I'll like almost everything else. On the other hand, if you screw up the burger, we won't be able to hang.  With that said, I ordered the burger and I'm so glad I did. I asked for medium and it came back more medium rare than medium, but I'm actually pleased with how it came out. It had a ton of flavor and was moist and juicy.   Everything on the burger was perfect too, the bun, the cheese, the lettuce. It was all perfectly put together. The burger came with a oyster potato hash which is divine. No. I'm not lying. It's freaking divine. I highly recommend that if you don't get something that comes with the hash that you order it on the side because it's worth every bite. My friend ordered the octopus and I had a bit and it was delicious--perfectly seasoned and grilled and soft. So good! For dessert we shared the apple crisp. Now, it is good, but was a bit off. I'm not sure why or what exactly made me not love it, but it was just alright. Part of me just wants to say that there was too much salt, but there was something else that threw me off and I can't recall what the flavor was. The red wine that we had was delicious (can't remember the name, but it was the first one on the list) and the coffee I had after dessert, to balance the fact that I may have drunk a little too much wine was really good. I can't wait to return to try brunch and maybe even lunch. Oh and before I forget--ambiance and music--total wins each! The music playing totally reminded me of my ipod, which is clearly why I'm a fan, but it fit the ambiance of the restaurant perfectly.  The back is small, so don't expect too much space, but once you're inside, it's cozy and warm and perfect for cold nights like last night.  Also the staff is very friendly and welcoming/helpful. They really made the experience all the more fun.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.285; Sentiment_Subjectivity (from 0 to 1): 0.54043573 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place. Love the atmosphere, lots of selections for wines. They only do tapas and since it's not a full restaurant with a million food items, what they have for food they really focus on and is incredibly good. We tried probably 6 different items, all of which I would get again. Met Cyril the friendly owner. Definitely go try this place. They also have 2 desserts which aren't on the menu, chocolate mousse and creme brulee. Creme brulee was amazing, perfectly browned on top.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.641666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: horrible experience here. long wait between a la carte courses. no stand-out dishes, AT ALL. mediocre steak at end. decent wine list... dont know how this place got a michelin. another over-hyped "NY gem"; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.345833333; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/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 went here for drinks and I had one of the best drinks ever here.  The bartender made me a Makers Mart cocktail with lime juice, salt and syrup shaken.  I highly recommend this place!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.42 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When a restaurant's name includes its signature dish, you should probably order that dish. My friends and I decided to try three different hot soba dishes: tempura soba, chicken curry soba, and roast duck soba. The tempura soba was the closest to original, as I asked for the tempura to be brought on the side. I was struck immediately by the pristine, unadulterated taste of the perfectly cooked buckwheat noodles. The flavors of the broth and the noodles were so clean, perfectly accented by the chopped green onions served on the side. Also, three huge tempura shrimp were yum. The chicken curry soba was the heaviest of the three sobas, in essence it was a Japanese curry served over soba noodles rather than rice. It was still delicious, but I think you lose the flavor of the soba noodle because it's overpowered by the stronger flavor of the curry. The roast duck soba had the richest broth of the bunch, oozing with the unctuous goodness that you get from fatty, savory duck. I still preferred the tempura soba, as I felt it was truest to the flavors of hot soba. Next time, I will try the udon, but it's not called Udon-ya, you know?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.215104167; Sentiment_Subjectivity (from 0 to 1): 0.684375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 - good Ambiance - good Food - good Solid, fast, Vietnamese PHO,  The waiter could smile a bit more but it may have been a bad day so is all good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.344444444; Sentiment_Subjectivity (from 0 to 1): 0.485185185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Debating between 3 or 4 stars since they fall in between but I'll give them the benefit of the doubt. Gave Traif a second try, and it was much better this time, definately came on their off day before... I wasn't as impressed as I hoped to be the first time. I felt like everything was just alright. The second time here was a friend's bday with 8 people and we were set up with a pre-fix for $55pp. You get 8 tapas, 2 per each side of the table, where we all get one whole piece to ourselves. Really filling and much more worth it... Plus they give you most of their top regular signature tapas! I still feel like it's a bit overhyped and over priced for a simple tapas joint with small portion. There's definitely way more better tapas joint in NY. Some of my more favored tapas I would order again from here: STRAWBERRY CINNAMON GLAZED RIBS - Awful & let down the first time. I remember this was the dish I was most excited for because everyone orders this, and c'mon it looked&sounded delicious. First time I had it, it was so hard and crunchy on the top. The ribs were not a bit tender at all that we had to yank it off the bone hard with our teeth. Second time, was a charm. It tasted much better and was more tender where you could just fork it off the bone... Now that's what in talking about, how ribs are suppose to be. DAYBOAT SCALLOPS - definitely the best dish out of all from the first&second time here. The scallops are good but they're whatever I've had better... But risotto is consistent! Makes the highlight of the dish, however I liked the first time risotto even better when it was a savory corn risotto! SPICY TUNA TARTARE OVER TEMPURA EGGPLANTS - mMm this probably comes second best. BRAISED SHORT RIB SLIDERS W/ SWEET POTATOES FRIES &SMOKED PAPRIKA AIOLI - My third favorite, short ribs are yummy and tender. Sweet potatoe fries are perfect accompaniment and that sauce is the best part, interesting and addicting... Soo good like CRACK. Least favorite tapas: Jumbo prawns cooked in foie gras fat- these shrimp weren't tiger shrimp. You could tell they weren't even fresh, but frozen. Can't tell at all it was cooked in foie gras either. Waste of $20. Rip off. Seared foie gras w/ sausage&sunny side eggs - SO MUCH OIL. I LOVE foie gras but this didn't cut it for me. The foie gras wasn't good, lower grade like foie gras. The combination on the plate didn't work with the foie gras for me either. Veal sweetbreads - the sweetbreads left a bad after taste stuck onto my tounge. **BTW BACON DOUGHNUTS A MUST GET & PANNA COTTA FOR DESSERT. HEAVEN. YUM; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.303665756; Sentiment_Subjectivity (from 0 to 1): 0.457480134 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hidden gem. You'll walk right by it if you're not careful. The owners have a sense of humor and are always in the kitchen every time I go. The food is selected and prepared with great care. I just wonder when these guys go on vacation!? on Sunday, they make these guava? pastries which are just delectable. Go get them.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.292261905; Sentiment_Subjectivity (from 0 to 1): 0.654761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 used to really like Bogota, but have recently changed my mind.  As a vegetarian, the salad and vegetarian menus seems really great.  However,  having been there multiple times and trying various items on these menus, I consistently feel extremely unsatisfied with my food.  For example, when I was there last night, I ordered the Pom Palm salad.  The salad I was served was quite pitiful, considering the nine dollar price tag.  It was small and boring and when I order a salad for that amount of money, I expect a decent size salad that appears appetizing.   It is also especially frustrating that whenever I've been to Bogota with non-vegetarians, they always get a ton of food.  My veggie entrees are never quite as plentiful as the entrees eaten by my meat eating friends. I will say that the atmosphere and service at Bogota is what makes being there pleasurable.  It's a fun place to dine and the servers are friendly and helpful.  Our glasses also never ran low on water.  I suppose that counts for something.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.007291667; Sentiment_Subjectivity (from 0 to 1): 0.480208333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dom DeMarco is the Jerry Garcia of pizza. People who see pizza as nothing more than a cheap and quick indulgence will leave scratching their heads. People who appreciate food made with love and patience will find an experience bordering on the spiritual. In fact I think it's best for your first visit to go with someone who's been there before - a guide, if you will.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.426190476; Sentiment_Subjectivity (from 0 to 1): 0.438095238 [/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: What I had: They are known for their Pho (it's Michelin rated) and on a separate occasion I had their steak and papaya salad Would I go back: yes and I have Story: one of the only good Thai places I've been in in NYC and I've been to quite a few - well deserved Michelin rating the food is delicious fresh and the atmosphere is nice at both the 9th ave location and the 53rd street location (but this locale is more spacious); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I just can't stop coming here lol. The Mac n cheese, collard greens and chicken biscuit is enough for me. I'm in love with this spot but only go for takeout. My recent visit was 3/20/14 and I was not disappointed at all. Hands down my favorite spot ever lol.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.221944444; Sentiment_Subjectivity (from 0 to 1): 0.673888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, get the matador combo! Good enough for 3-4 ppl or two really hungry. Awesome sangria too; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.58; Sentiment_Subjectivity (from 0 to 1): 0.61 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: the food is tasty and the drinks are good, but everything else stinks, sometimes literally. the place is cramped, the waitresses are surly and the air is suffocating. i know it's become a trendy hipster spot after the Lenny Kravitz video, but please, give it a rest.   people get so loud and drunk there it's ridiculous.  whenever i take a seat there, i feel like I'm up to my a$$ in more nuts than a fruitcake. pass. oh by the way, the waitresses are maaaad surly.   there was this one hot french/exotic photographer waitress like a long time ago, but when she left, it all went downhill.  lol.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.080555556; Sentiment_Subjectivity (from 0 to 1): 0.645833333 [/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: Incredible food, had the grilled chicken for lunch. Only $10, which incredible french fries and bread that was to die for. The overall ambiance of Balzem is also on point. Very rustic, yet elegant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2375; Sentiment_Subjectivity (from 0 to 1): 0.63125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They've got their bases covered in two ways.  They are a wifi-enabled cafe, which ensures business from the growing number of neighborhood transplants who want a place to work and drink coffee.  They have two specialty drinks that make them stand out, both of which are quite good.  The Krokodil is a red eye with condensed milk, a more powerful version of Vietnamese coffee.  The Cheburashka is basically a condensed milk latte, so if you like sweet and creamy coffee drinks, this one is hard to beat. If the cafe element is what will get people in the door, what will make them stay is the food menu, which features tasty croissant sandwiches, borscht, buckwheat salad, and pelmeni- a Russian dumpling similar to pierogi but smaller and not as dense, with a more delicate pasta.  I now have stupid cravings for these things.  I've tried all the varieties except for the veal, and so far the cabbage is my favorite.  They come dressed with a dusting of red pepper and fresh parsley, and three condiments- vinegar, sour cream, and a spicy paste.  I suggest you use all of them. They seem to be trying out different menu items- today they were serving a chicken and dumpling soup.  On the weekends, they have different offerings for brunch. All told, I'm very very happy to have this place in my neighborhood.  I look forward to the spring, because they apparently have a beautiful outdoor seating area.  And I believe they also plan to obtain a full liquor license, so it should be interesting to see how they expand their business over the next year.  Anyone living in the area should go there now while it's quiet, because I doubt it will stay that way for long.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.136011905; Sentiment_Subjectivity (from 0 to 1): 0.552678571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Haven't had a real meal here. All for gelato and maybe some desserts. Gelato is the best for me so far in NYC.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Recently rented the 2nd season of Anthony Bourdain: No Reservations this past weekend. I viewed the episode where he went to Korea. I was personally craving all the simple take-out Korean food after watching this episode. So I hopped on the F train to Woorijip and stocked up on all the pre-made food inside the hot glass and cooler.   Slight problem. I was suppose to spread out all the food for different days of the week, but I practically ate everything I bought in one day. Good job fatty.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.033333333; Sentiment_Subjectivity (from 0 to 1): 0.377380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 girlfriend and I are Thai food fanatics, and we have tried sooooo many places in the city already, and we were pleasantly surprised when we came across Pinto. We ordered the Green Curry with Shrimp and Pad Thai Noodles. Both were amazing, and the curry was the best I have had in New York City. Since that night, we have gone here once or twice every two weeks, and I have yet to come up with a single complaint. Five stars, hands down. They have offers on livingsocial.com every now and then as well. The ambiance is wonderful as well, and the customer service is the best it can be.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309114959; Sentiment_Subjectivity (from 0 to 1): 0.446476671 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only for the cheesecake and we got it to go.  There usually is a line to eat in the diner but there is a stand around the corner of the restaurant where you can pick up cheesecakes and sandwiches to go.  I came here twice in the span of a week and tried the regular cheesecake, pineapple cheesecake, strawberry shortcake cheesecake, and the devils cheesecake.  My favorite was the strawberry shortcake cheesecake.. it was moist and not too sweet.  The rest were good but not quite as good as the strawberry.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.285714286; Sentiment_Subjectivity (from 0 to 1): 0.596703297 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good sushi. Accommodating service. Have to try their sashimi. It's very fresh!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.69875; Sentiment_Subjectivity (from 0 to 1): 0.715 [/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: We searched out this china town spot due to a recommendation through Best Thing I Ever Ate on the Food Network. It look a good smart phone app to find this hole in a wall location. In the window are photos of celebrity chefs eating here, which gives it a vote of confidence. Inside the small establishment offers about 5-7 tables. We ordered a noodle dish, dumplings and a chicken dish and two sodas. Service was quick and the food was decent. I didn't really feel that my noodles were necessarily fresh hand pulled, a little too much tooth to them. Over all the meal was good but we felt that we probably could have had an equal experience in any of the hundreds of other noodle and Asian places to eat in the area. I would not run back to eat there again because it just didn't stand out as a remarkable place to eat in the neighborhood. What I will say is, it was a cheap meal $22 for us and in NYC I consider that a bargain.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.188839286; Sentiment_Subjectivity (from 0 to 1): 0.42547619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'll have to give this place another shot but until then I'm gonna stick with 3.  I had a beef yakitori don - to be honest I thought it could have had more flavour, but my other friends seemed to enjoy their dishes. The ramen here was pretty decent from what I sampled.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.298611111; Sentiment_Subjectivity (from 0 to 1): 0.656944444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 visited ilili with a couple of friends for Restaurant Week.  We were pretty excited with the number of choices on the menu, but only about half of them were really outstanding (the grilled halloumi cheese was fantastic, as was the falafel and the babaghanoush), but some of the offerings were not so good.  The bone marrow, for one, was mostly flavorless and very greasy, and the lamb burger was underseasoned.  The desserts were bursting with flavor, so on the whole I'd say the meal was average. That said, the layout of the restaurant is somewhat off-putting, with the coat check butted right up against the front door obstructing the maitre'd stand.  All the hard surfaces made for a pretty loud ambience too. Not a total wash, but not my favorite RW experience, either.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.214845938; Sentiment_Subjectivity (from 0 to 1): 0.677591036 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am an advocate of equality; I fight against discrimination. Let me expand this a little: I respect each and every kind of animal and each and every body part; and I disdain the generic, uneducated and, worst of all, hypocritical aversion that people have for certain parts of the body of their slain animals. A frog is as much alive as a calf, a chicken or a cow; and for all we know, a rabbit is just as sensitive as a pig. Moreover, the insolent ignorance, or the ignorant insolence, toward offal - the cast-offs - of the masses infuriates me: If you have already killed a chicken, respect the life it has given up for you and eat the damned feet, too. When you order that sautéed chicken breast or a roasted rack of lamb, you are ineluctably a part of the killing even if your hands are not bloodied. Would you condemn someone less if he merely paid for the murder rather than did the actual deed? Although the order of events are reversed here: the demise of the chicken that is served on your plate is not directly caused by your order which has been placed 30 minutes ago (most likely not, every since my grandfather stopped having a chicken coop), but your order will indirectly cause its kin to be killed for someone else's dinner because your appetite for the chicken has shown that there is demand. Econ 101: Supply and Demand. Therefore, the proper respect a human being can show to the lives that are lost in order to be turned into coq au vin or honey-glazed pork chop is not to waste any and appreciate all - feet, brains, hearts, intestines and testicles. As a matter of fact, a sense of common decency demands it. And, I must say, these generally less desired body parts are, in fact, quite gustatorily desirable. Grilled lamb testicles I admit that it was the glutton curiosity that ordered this untried part of  the lamb; however, it was quickly turned into appreciation. The testicles tasted similar to liver, with a texture, which was less firm and grainy and thus softer. The light balsamic vinegar marinade balanced well against the earthy organ flavor.   Chicken feet As a result of insufficient stewing time, the chicken feet tasted strongly of the rubbery collagen and did not have a chance to fully absorb the hearty and solid tomato and mushroom sauce. Orecchiette alla Lido The toothsome, little ears heard the conductor correctly: they scooped up the sweet and tangy tomato sauce and stood gently but firmly against it. The brilliant use of mint inspired the oil-cured swordfish, which was unexpectedly full of mild brine - a flavor more pleasurable than when it was actually fresh and gave a wonderful texture against the orecchiette. Pizza di Burrata The pizza at Enoteca Maria shared the sickly look of the superior frozen kind - superior only because the bottom did not sag and fall out when re-heated. Furthermore, the heavy-handedness reminded me of the pizzas served in alleged pizzerias, which thought merely dumping a lot of cheese on top of tomato sauce would miraculously transform a cheesy dough into a pizza - well, it did not.  If truth be told, it was similar to an Argentinean pizza. The expected fresh and creamy milkiness of the burrata were notably absent; in their stead, there were overwhelming greasiness and profound mediocrity. If my paper napkin had not been completely soiled by then, I would have been tempted to follow the disgusting habit of the grease-dabbers. Sheep's head Wait, however, until my fellow diner abruptly and callously turned the innocuous "dish" the other side up: Voila, the "dish" was not exactly a misshapen "dish" at all, but it was half a skull, chopped vertically through the nose with exactly one eye, half of the brain and mysteriously somehow, a whole tongue. Our counterpart that night must have thought the sheep was mute. I decided to proceed with the brain, which was roasted slightly dry and hard, which, however, concentrated the flavor but lessened the distinct odor. The delicate cheek meat was a treat as it fell off easily upon the fork; the succulent tongue was chewy yet tender. On one hand, the breadcrumb crust was too heavy to fully appreciate the subtle differences in flavor of the sheep's head. On the other hand, the ample garlic and rosemary guaranteed that every bite of every part would be well-seasoned. Aragosta Ripiena The abundant breadcrumbs made another appearance on another au gratin dish, which stuffed the shell like straw for a scarecrow. This Frankenstein of a lobster - now why isn't a whole lobster any more grotesque than a whole head of a sheep? Discrimination and indoctrination, I say - had more shrimp than its own flesh, although somewhat close in genealogy, I wondered whether such transformation and juxtaposition were absolutely necessary. Rather than a show of luxury, the shrimp acted more like a silicone filler: It added more body to where it was lacking. (Full version available on my blog.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.017907801; Sentiment_Subjectivity (from 0 to 1): 0.569009625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Today's visit was terribly disappointing. The service was just unforgivable, and it really didn't need to be. First, our server brought us cold coffee, which is odd but like no big deal. She was really busy too. It seemed like all of her tables were leaving at the same time. She was super frazzled, so it's like yeah, just bring fresh coffee whenever. But it seems like she just gave up on us after the coffee. Her tables left and she starting doing her side work, totally ignoring our table. She never came back to our table for condiments, milk for the coffee, to see if everything was cool. Plus, even though I totally understand things get stressful and busy, I witnessed her being quite ugly to another staff member. I overheard her complaining about the Scoutmob deal that everyone was using (um, hello! It's obviously bringing in biz if all your tables are using it!) Someone needs to let her know that serving isn't her calling. Sad to say, probably will not be returning. The food is good, but not good enough to endure something that painfully awkward again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.056597222; Sentiment_Subjectivity (from 0 to 1): 0.496875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful food! Welcoming environment and awesome service. Joanna has been an excellent server and extremely nice!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.9375; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The whole experience at this restaurant was awesome. Food was great, drinks was good and service was terrific!! Joanna, our waitress, was so attentive and treated my friends and I very well. The empanada sampler was so tasty and I had the ropa veja with yellow rice, black beans and fried yuca which was really good! Must go back again!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.364393939; Sentiment_Subjectivity (from 0 to 1): 0.543939394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 selection of items for lunch, on more of the pricey side but worth the cost. I've been here a dozen times or so and each dish i've had has been great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food and the BYOB policy keeps costs down.   The staff is very nice and the chef is a great presence.   Looking very much forward to my next visit.  Its tiny so make a reservation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.340634921; Sentiment_Subjectivity (from 0 to 1): 0.485555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 RoastedChicken  I had, wasn't warm and the portions are small. I can get a great meal at a Bodega that cooks Puerto Rican food and other Hispanic dishes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25625; Sentiment_Subjectivity (from 0 to 1): 0.53125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious. Get the burger with fried egg and pineapple, and the truffle fries. When you come back try other stuff.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.291666667; Sentiment_Subjectivity (from 0 to 1): 0.458333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sort of hipster atmosphere. Cafeteria food done upscale. The mac & cheese sampler is a meal on it's on. Portions are great and service is good and friendly. A diamond in the ruff.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice little space, liked the downstairs restroom area. Dishes were okay, but very small portions, although quite cheap. The lamb racks were really fatty, and had that funky taste comes with fatty lamb. Great live music and a great vibe over all, but I think they might be better off by increasing their prices slightly and getting some better produce for their more pretentious (in a good way) dishes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.273952763; Sentiment_Subjectivity (from 0 to 1): 0.575686275 [/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: A great place for any occasion. Been here couple times for dates and with friends - always enjoyed the visit. Waffles are great. Poulet Grille is very tasty - tender and juicy chicken in crispy baguette. Croque Madame is good too with wonderful fries. The stews are meaty and filling, though the chicken version is better than others. The best item on the menu (dessert/drink) here is Cafe Liegeois (espresso float). It's kinda like a espresso + coffee ice cream milk shake. Intense coffee flavor. Definitely loved it. It's our must-order every time. They also have a great Belgian beer selection.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.461538462; Sentiment_Subjectivity (from 0 to 1): 0.719230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: are these people for real?  i will start by saying the only thing i've had there is the "basic" tacos.  but they were so bad i didn't even bother to try the rest of the stuff. the beans were flavorless and the tortilla was prepared in a way that made it dry and brittle.  and no vegetables.  the absolute worst part, though, is that the cheese consisted of them placing pre-sliced white american (or swiss?) cheese on it as if we were in a college dorm room.  really?  i'm paying $3 for a college dorm room taco with a slice of american/swiss cheese?  never.  again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.479166667 [/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: We stopped at Di Fara as part of our 4-part Brooklyn pizza tour. I will say, first off, that the pizza here is absolutely phenomenal. It's really some of the best I've ever had. The fresh basil and the olive oil added at the end make it just about perfect. We got a large regular cheese as well as a square pizza with peppers, onions and sausage. Both were awesome. Despite the incredible pizza, I can't give Di Fara 5 stars, unfortunately. It's really not convenient to anything, but you probably already know that if you're thinking about coming here. The line was actually quite short when we arrived, but it was deceptive. Once we ordered it took nearly an hour to get our pizzas, and it was brutally hot inside with hardly anywhere to sit. There also isn't much of anywhere nearby to hang out and wait (and I got the sense that if you leave they may not make your pizza at all!). It was also, by far, the most expensive stop on our tour. All in all, if you want some of the best pizza you will ever have, you need to stop into Di Fara at some point. Just know that it's going to be inconvenient, expensive and take a while. It's certainly worth doing for a special occasion, but not an every week kinda thing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249190476; Sentiment_Subjectivity (from 0 to 1): 0.508076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bf and I were so happy to find an affordable, delicious,  and healthy vegan meal in this area. We ordered the Thai Iced Tea (w/o milk), spring rolls, vegetable dumplings, the drunk man noodle (w/o egg), and the Tom Yum Lemongrass Soup (veg broth base). I appreciate that our meals were vegan as requested without any mishaps. I usually don't care for tea but the Thai iced tea was very sweet so I enjoyed it. The spring rolls were yummy and both the soup and the noodle dish were very spicy as noted on the menu. (If you are not into spice, they do have milder dishes). The noodles were not greasy at all and it was a good, filling serving with lots of crispy, perfectly cooked vegetables. Service was perfect and very quick. Because of their exceptional service and location in close proximity to Hunter College, we plan to return very soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.393666667; Sentiment_Subjectivity (from 0 to 1): 0.743 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 finally had a chance to check it out here this past weekend.  Wait time of 10 mins wasn't that bad considering we (two of us) were there during prime time. We had the baked eggs with kale salad and biscuit and gravy.  Both dishes were considerably good.  Downside - wished the brunch menu offered more food selection.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.05; Sentiment_Subjectivity (from 0 to 1): 0.603333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the 1st review i am writing about any establishment because i am very upset with this place !! HORRIBLE..the men at the door were very RUDE and DISRESPECTFUL. it was freezing outside and there was a 5 minute wait (no big deal) within 5 minutes there was a few other groups of people waiting in line behind us (myself and 3 others) we would up waiting about 25 minutes and then left. THIS IS WHY:  about 10 minutes into the wait the bouncer let a group in ahead of us because they "dropped names" OK fine everyone does it once in a while..but then it happened AGAIN! So i say something and the bouncer responds very rude and say "people know management" and continues to speak down to myself and my group..i couldnt walk away fast enough - TERRIBLE ESTABLISHMENT. I could not even believe what was happening. it was VERY VERY RUDE AND SUCH A HORRIBLE WAY TO RUN A BUSINESS AND TREAT CUSTOMERS. many others followed us off the line as well. I called after this incident and the next day but was hung up on numerous times. The owner should reevaluate how he runs this business. I WILL NOT BE RETURNING EVER AGAIN.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.096058201; Sentiment_Subjectivity (from 0 to 1): 0.469232804 [/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: Went for brunch on Sunday. We got their early, about 1030, and they only had seats left at the bar, which we didn't mind. When we left there was a line outside. You can make reservations so if you don't want to wait, or sit at the bar I suggest makeing one. I got the nutella smores walfel and my friend got the stake skillet. Portions were huge! Honestly the stake skillet could of easily been two meals for both my friend and me and we sheared our dishes. The nutella walfel was amazing, but super rich, so be prepared. The service was good and the waiter informed us, and we over heard many others, that you can not remove any of the vegitables from the stake skillet, fyi, because it's a pre-prepared mix.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.318589744; Sentiment_Subjectivity (from 0 to 1): 0.569230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place! I have been going there for a few years now. I typically get the pollo mechado arepa - which are delicious. Having been to Venezuela, they do measure up (although pricey - but that is expected for NYC). The place is cozy and I have never had to wait for a table. My only complaint is that the service tends to be slow but worth the wait for their food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.065833333; Sentiment_Subjectivity (from 0 to 1): 0.505 [/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: Man Some damn good Jerk Chicken.. Very fair prices and you get a lot of great tasting grilled up chicken with great Jerk sauce.. and a piece of white bread to boot, classic. Owner is very nice guy really really cares.. make you feel welcome when you come inside.. Even my girlfriend was impressed and she is very hard to please.. (If I take her to some place bad, I hear about it for a month!!! so thank goodness!!) I'm just eager to try more items on the menu.. Backyard was nice.. Definitely coming back!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.259861111; Sentiment_Subjectivity (from 0 to 1): 0.646527778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very unassuming from the outside but it's such a gem. They specialize in every thinkable way you can combine pork + panini. A giant pig painting on the wall diagrams the various pork cuts. The rest of the menu is also a hit even if you don't like pork. My favorite thing to order is the spicy chicken panini and some bottled grape fruit soda. There are also a ton of little crostinis to order (slices of bread with various spreads). All of the crostinis I've tried have been fairly good. Also of note is the outdoor section for brunch - it's really nice to sit out there on a sunny day, brunch also consists of paninis but with a breakfast twist (panini with egg, cheese, sausage for example).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.110227273; Sentiment_Subjectivity (from 0 to 1): 0.627272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 high hopes for L'Artusi. After all, it had 4 1/2 stars on Yelp and a 27 rating on Zagat. It had to be great, no? Unfortunately, no. Everything was charred or burned, most dishes were oversalted, the pasta was gummy, ravioli were mostly thick pasta with just a bit of filling, meats were both charred and undercooked (medium came out as rare, medium well as medium rare, etc.). Vegetables were unpleasantly charred. Gnocchi were heavy and chewy, not light as clouds as they should be, especially in a restaurant with this reputation. The only dishes we had which were really well made and had great flavor were the Roasted Mushrooms pancetta, fried egg, ricotta salata and the Sweetbreads A La Plancha parsnip, capers, olives, currants (which is quite a small portion, unlike all the other "Carne" dishes). That is, except for the dessert. All the desserts we tried were quite good! Is 2 stars too harsh? I don't think so: if this was a modest little place with lower prices, it would probably deserve 3 stars. But as a serious restaurant with prices to match, I can't give it more than 2 and I can't recommend that you go. For better food and less attitude, try Lupa.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.111354167; Sentiment_Subjectivity (from 0 to 1): 0.640555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I been to this fine establishment  twice. Both times I was very satisfied. First time I came during the afternoon and had the Kau Gling (I love spicy and that was apparently the spiciest) and also had the special of the day which was a shrimp dish that was marinated in a flavorful sauce. Both delicious. The second time I came it was during evening/dinner time. We ordered Pad See Ew with Shrimp (We ordered multiple beef dishes so we needed a balance), the Duckaholic (highly recommended by my girlfriend who had it before), the Kau Gling (Again, I love this dish), Massaman Curry with beef, and the Moo Ping Appetizer (Chicken Skewers). Thoughts: The Pad See Ew with shrimp was really good. It was perfect with the flavor not being overly salty. The Kau Gling is awesome as always. The Duckaholic was amazing. They cut out a lot of the fatty parts of the duck so only the lean meats were remaining. The Massaman Curry and Moo Ping was really good too. Overally very happy and no complaints. Service: They were very attentive and always refilled our water to make sure we're never empty. They were very polite and made sure we could always ask them for anything else. Price: Very reasonable considering the taste, quality, and service of the food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.388992674; Sentiment_Subjectivity (from 0 to 1): 0.665482295 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried Five Leaves because a friend suggested we go there. I never knew it would be so good! I usually eat across the street and thought that 5L was a coffee shop/cafe as it is very inconspicuous from outside. They don't take reservations so we went (on a weeknight) and had  a 30-40 min wait as the place is small (but so worth it!). Eventually, the host/manager(?) asked us if we wanted to wait inside as it was chilly out. He was very friendly and kind and made sure we got a table soon after. Their drink list is very extensive while the food list is kept simple. We both ordered the five leaves burger (one med. well and one med. rare) and it was as good as it sounds on the menu! We added truffle fries to that and ordered six points and ayinger beer. The result was a very very tasty and satisfying dinner! Service was great, food was great, and decor was cozy. I'll definitely be back for more and suggest that others try it too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.286785714; Sentiment_Subjectivity (from 0 to 1): 0.546160242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Soup dumplings were really amazing. But pork pan fried noodles was just ok and beef with scallions was not tasty. I would come back for the dumplings and to try hot and sour soup and beef with peppers (it looked very good on the other table). Environment is messy, if you are just 2-4 people you will probably share table with others. Service was ok, very quick but waiter didn't speak English well and was pretty rude.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.20525641; Sentiment_Subjectivity (from 0 to 1): 0.511923077 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was really great as well as the saki.  They have a great selection of unique rolls and tacos to try.  What I liked most about this place was the energy.  The staff was really nice and seemed to genuinely like their job and it seemed as though they got along really well, which I thought was cool.  I also liked the timing of everything.  The food and drinks didn't come out too quickly but also didn't take too long either.  Great lighting and decor as well.  Will definitely eat here again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.450595238; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Get the cinnamon bun!!!; Max_Daily_Reviews: 1; 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: What can I say, it's an institution. The falafel is very good, granted it's slapped together a little haphazardly, but that's the price you pay for getting your food within 30 seconds of ordering it. The place is unbelievably small, I think there are a total of two tables in there, barely. By the way, in case you didn't see from the other reviews, this place is CHEAP! In a city as pricey as New York, Mamouns has resisted the temptation to raise prices. They would get away with it, and I would pay for it, but I'm glad they haven't. Best paired with a papaya juice from Papaya King a few streets up.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.144488636; Sentiment_Subjectivity (from 0 to 1): 0.521628788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food. Great price and relaxed and hip atmosphere. The food was incredible. Full flavor, filling, Excellent spice combos. Ran out of beer we liked and waitress didn't check after we got food. And forgot my wine. Otherwise, highly recommended!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.635714286; Sentiment_Subjectivity (from 0 to 1): 0.777142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 consistently excellent - it is our go to place when ever we have company in from out of town - and one of our regular spots for a cozy (and I mean cozy) dinner for 2. This is my main complaint - the seating (especially in the bar area) is shoulder to shoulder. Not much more room in the other rooms either - But is is well worth the inconvenience -; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.00719697; Sentiment_Subjectivity (from 0 to 1): 0.524796037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 never ending search for barbecue in NY led me here.  Yeah, I'm a total barbecue snob and I've accepted the fact that I'll never find anything as good as the Midwest or South.   But I jumped on the L train and made it out here anyway on a random Tuesday to find it packed.  The seating is self service, so one person needs to get in line and one person needs to grab a table, don't make the mistake others made of being polite because you'll be left wandering around looking for a table with a big tray of food in your hands. We got some pulled pork, pork belly, brisket, sausage, pork ribs, baked beans, and broccoli salad.   We'll just run this down item by item: Pulled pork...eh, pass on it, not up to Carolina standards at all and you'll even find better in NY I think.  Pork belly, not bad, just realize you're basically eating a piece of fat...mmm.  Brisket, I'd say this was good, melt in your mouth good, maybe one other spot in NY with comparable brisket.  Sausage, one of the better ones that I've had, it wasn't some generic sausage flavor, hard to describe, definitely order it.  Pork ribs, not quite fall off the bones finger lickin' good, but pretty close.  Baked beans, have burnt ends in them and is definitely a nice hearty side.  Broccoli salad...hey if you have to get some veggies involved, this isn't a bad choice. So here's my rundown, must get: brisket, pork ribs; should get: pork belly, sausage, baked beans, broccoli salad; would pass on next time: pulled pork.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.161388889; Sentiment_Subjectivity (from 0 to 1): 0.489444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: NOODIES! I randomly found this place while exploring my new neighborhood and finally came in Friday night for dinner. At first we were seated at the bar area because the tables were full but luckily got switched to a table as soon as one opened up. The cold tofu topped with ample tobiko was so refreshing and delicious. The green papaya salad took slightly longer to be served but it was worth the wait. I liked the Yien Ta Four noodles that I ordered minus the fact that all my noodles were stuck together making it a bit harder to eat. The Tom Yum noodle soup my friend ordered looked pretty good too. We ended the meal with a green tea mochi ice cream topped with red beans. All in all good meal with a cozy atmosphere. Just be prepared to wait for seating.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.145382395; Sentiment_Subjectivity (from 0 to 1): 0.542279942 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really loud, cramped, and crowded. I didn't like the looks of this place, but the food is actually very good. Definitely get the Carnitas. It's a small grill full of meats.The steak and chorizo were my favorites. Even the rice was flavored well. The shrimp guac was great! But I would pass on the desserts. The tres leches and the chocolate cake were not memorable.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.265714286; Sentiment_Subjectivity (from 0 to 1): 0.682857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for brunch on Saturday afternoon with my boyfriend and best friend. We were looking for an unlimited mimosa brunch, but decided to come here based on the great reviews. Although every table was filled, we were able to be seated right away. We split 3 different dishes and everything was really good. Each meal came with coffee and a mimosa. The service was great! Will definitely be returning!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.520634921; Sentiment_Subjectivity (from 0 to 1): 0.617857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice little Italian restaurant in Brooklyn. The menu is good though a little pricey. They have a large selection of wine too. It's a nice place to check out but if you're on a budget, there are a lot of good Italian restaurants in the area that have the same quality and flavor of food for a much better price.   We had the Pan seared sea scallops and Pollo Alla Pellegrino.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.267207792; Sentiment_Subjectivity (from 0 to 1): 0.477597403 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: always a consistent good meal. big fan of brguest restaurants and this one is definitely on top of its game. had the turkey burger there last week and was amazing, definitely recommend it. service is always on par during the summer the outside seating is great. I normally go for lunch but a great dinner as well only good things to say; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.292857143; Sentiment_Subjectivity (from 0 to 1): 0.508333333 [/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 has to be the best pizza experience in all of New York and not just because the pizza is the best in New York City, but because of the unique process that goes into making it.  The pizza here is perfect, with a nice crunchy, thin and sweet crust and a tomato sauce that has no equal.  It is some amazing stuff that the owner makes himself.  But we'll get to that in a minute.  The toppings are all mouth-watering and very fresh while the cheese is too good to be true, even if it looks a little different from your normal pizza.  But this is no ordinary pizza.  This is DiFara, where there is one guy making each and every pizza pie with the freshest ingredients possible, which he keeps in the back and are all imported from the motherland of italy.  The process is long and arduous but in the end, you don't care as the pizza is just too tasty to make you upset.  My dad and I finished a whole large plain pie.  He usually doesn't eat that much pizza, so I was really impressed with it.  Try to call beforehand and order fifteen to thirty minutes before getting there, because it takes the seventy-year-old owner that long to make the heavenly pies.  The reason why is as follows:  first, he kneads the dough and pours on the fresh tomato sauce made there.  Next, he adds the mozzarella cheese off of a fresh slab of mozzarella, which looks pretty cool, as it isn't shaved but cut into quite lage pieces all over the pizza.  Still covers the pizza very well and is all in all, a great way to do it.  Then it goes in the oven and he continues.  This is all without gloves and who cares about the health department because this place is just too good for them.  His Igor-like assistant brings him any ingredients or toppings that he needs from the back and this goes on all day.  When done, the pizza comes out with the cheese still bubbling and this is where it gets too good.  He sprinkles fresh parmeasan cheese on the pie and then adds fresh basil by actually taking the plant and cutting it over the pie with a pair of scissors.  Hey, he could be doing it with his hands, so the scissor is fine by me. Now, you wait for the pizza to cool and then, pizza bliss as you bite into it.  This pizza really lived up to the hype and was a fantastic meal to leave new york for college.  Last great taste of New York before heading down South.  The place is a hole-in-the-wall type pizza parlor but it just can't be beat.  Parking meters are around and the subway train is right by the pizza place, so getting there ain't the problem.  It's the wait that upsets some, but just have some patience and you'll be feasting on what is the best pizza in new york and you'll have a great story for your pals.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277261096; Sentiment_Subjectivity (from 0 to 1): 0.535914564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to Coppelia last night and it was the nicest surprise I have had in a long time stumbling into an unfamiliar restaurant ('m sort of a slave to foodie fads). I loved every aspect of my experience there. The service was fantastic. It may have been a tad slower than expected but the treatment to patrons was impeccable. Very friendly but not overbearing. It was obvious the staff cared about their jobs. I ordered a simple whiskey ginger. a couple large ice cubes! Thank God! Plus a good portion of whiskey. Normally I get a handful of ice chunks that melt instantly. I was very surprised and pleased with this simple drink order. Do yourself a favor and get the Mac N Cheese! Incredible. Best flavored mac n cheese I have had to date. I ordered the Arepas and they were little but still very good. I imagined they would be better based off of the Mac but still very good for a latin "diner." I also got the Yucca fries which were delicious and I would HIGHLY recommend. The portion of the dishes were incredibly practical and I appreciated it. I left feeling very satisfied without being upset that I just wasted an hour at the gym. Lastly, the prices were very fair. And its open 24 hours!!! Overall, great experience! I can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.361566327; Sentiment_Subjectivity (from 0 to 1): 0.546938776 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 do not know where they put the people in front of us?We waited in a very long line, The line moved within minutes. We were seated pretty quickly, and next thing you know , we ordered, we ate and the check. It was fast and the PIZZA was amazing. We had two children with us, so this was really good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.288333333; Sentiment_Subjectivity (from 0 to 1): 0.588571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chose the very last day of February to take part in Pancake Month at Clinton St. Baking Company and I chose what seems like the most popular pancake selection on the menu: blueberry pancakes. What does that say about me? Oh, just that I'm a procrastinator who wants to believe the hype. And now I'm a believer. I have never been here before until now. It's so cute and so very small! Sweet or savory, I could have gone either way but I did choose the pancakes but the other half of my stomach wanted grits, potatoes and other feel good food.  My friend ordered the Chocolate Chunk pancakes which also had raspberries. Great for chocolate lovers! My blueberry pancakes were very delicious and the maple butter was to die for (and probably made the pancakes a zillion times better). You'll see me coming back for brunch and braving the wait for a table! Good thing it's in a great neighborhood with tons of stores to check out while you wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.354534314; Sentiment_Subjectivity (from 0 to 1): 0.521960784 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch is goooooooddiiess, the German pancake is slamming, eggs Benedict is slamming, the side order of bacon is perfection. Enjoy!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25; 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: After years of  hearing the drums beat and the surprise reactions of not haven't been to Frankies on Court St., I finally got my chance.  Located in the heart of Carrol Gardens from whence i came, This now trendy, upbeat, young neighborhood filled with transplants whom out number "The Localsl", Frankies is considered a superstar.   My initial thought upon entering was "Nice"!  Small, quaint, cozy, and hip with a great vibe.  Something you would expect to find in these trendy neighborhoods.  Not a place for larger groups, but great for you and one other. The service was great.  The staff was friendly, knowledgable and patient.  Patient because, when you have a bunch of rambunctious guys, whom are all about having a good time, even if its at the expense of others, and you are able to manage them and laugh every time a glass of wine was spilled, you get an "A".  That translated into an extra large tip. Hats off to Roberto, our server. After looking over the menu and realizing it's sicilian influence,  I inherently become wary.  Being of Sicilian ancestry and raised around old school sicilian style food, you can't help yourself.  I know what this stuff is supposed to taste like. Ok, food talk.  After literally ordering half the menu, I could honestly say the food was solid.  For those of you behind the times, it means "good", not perfect, but good.  Starting with the Crostini's, the Eggplant Caponata was creamy, savory and  slightly chunky. The Sicilian White Anchovy were perfect, slightly salty, oily and packed with that great anchovy flavor.  It was a good start to a fun evening. Moving to the salads, we had the Bufala Mozzarella & Arugula salad, hard to go wrong with this one.  The Braised Octopus with Dandelion Greens & Castelvetrano Vinaigrette, The Duck Liver toast with Arugula salad; my favorite!  The duck liver was creamy, sweet a little salty and great against the crunch of the toast.  The Fennel, Celery Root & Parsley with Sliced Red Onion salad, and Frankies Antipasto which you have a choice of  2 Meats, Cheeses, Veggies & Olives, were average.  I need to point out two things:  The Octopus although cooked perfect was a little fishy, which questions the level of freshness during the cooking process. "The Frankies Antipasto" not worth the $17 price tag.  I expected a little more. For dinner we shared, Frankies famous Meatballs with Pine Nuts & Raisins, meaty, nutty and complimented by a rich delicious sauce.  The House-Made Gnocchi Marinara & Fresh Ricotta was good, but the Gnocchi were a little dense.  The Sweet Sausage, Roasted Red Pepper & Onion Over Creamy Polenta was ok, and The House-made Cavatelli with Faiccos Hot Sausage & Browned Sage Butter, had the right amount of everything.  Guaranteed to taste every ingredient in every bite. The only dessert worth mentioning  was the Red Wine Prunes with Mascarpone.  Creamy, not too sweet, and the right amount of texture from the prunes to complete each bite.  A definite winner here.  You can skip the other desserts, they get low marks. Overall, the experience was good.  With the food fairly priced, and the equally fairly priced selection of good wines, throw in the good service, I think Frankie has earned his drums.  It's a neighborhood hot spot and I see why.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254671489; Sentiment_Subjectivity (from 0 to 1): 0.545780591 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sam is the best. Food is not only amazing but they all work so hard for you to leave with a smile. Thank you guys for also letting me have the mot perfect party for my daughter.. I will never forget how you put me at ease. I am greatful for your patience and how you worked so hard to make sure all went well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.352083333; Sentiment_Subjectivity (from 0 to 1): 0.659027778 [/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: Great food with a decent price. The portions are good and the food taste real good. The shrimp fried rice is delicious and the green curry is very tasty. Highly recommend this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.478333333; Sentiment_Subjectivity (from 0 to 1): 0.632083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate here with a large group for a business dinner. It was a freezing cold night and unfortunately something was wrong with their heat resulting in us all wearing jackets and shivering at our table. To their credit the manager did apologize and offer teas and other hot items. Service was pretty bad. We waited FOREVER for wine because apparently there were no clean wine glasses in the whole restaurant ... Bizarre.  Even after we had glasses, wine service was extremely slow. Food was good though. Brussels sprouts three ways was one of the best salads I've ever had. Salmon entree was okay. Dessert was delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.097408964; Sentiment_Subjectivity (from 0 to 1): 0.651190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wish i could give this place a 10 star rating! I signed up to yelp just to write this review. I've been a yelp follower for years and most of the times I try new places its because of great reviews i just never signed up (probably out of laziness). But I love this place so much I want everyone to know about it :) I've been here a few times since I moved to Brooklyn about a year and a half ago, and no other place tops their burgers (not even shake shack no offense) and the prices are not bad. You get what you pay for. I've taken everyone I love to Juniper and nobody has been disappointed. A big plus also is that the Bedford station is down the street and three stops from Union Sq. I actually didn't realize until the last week that I went when I brought my best friend from Yonkers, but I never tried any other plate but the burgers and that's only because she asked what else do you recommend(they are that good) ? You know when you try a new great place you want to try every dish on their menu, yea be warned once you try the burgers you'll be hooked. Anyways I can go on and on, you have to try it yourself to believe me! Only thing though if I were you I would arrive early it gets pretty packed, I wish they would expand. And bring your own beers! Or there's a wine shop across the st. Jeje ;); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.234740928; Sentiment_Subjectivity (from 0 to 1): 0.536962215 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried almost every ramen shop in the city, and though my friends and I do not always agree, I think this place is hands down the best. Get the pork buns and the spicy ramen. Hits the spot everytime.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.422222222; Sentiment_Subjectivity (from 0 to 1): 0.294444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the last restaurants I visited and am happy to say it was memorable. Reservations was not uber difficult to make though I could tell the place fills up pretty quick by around 8 (which apparently is when the locals come out to eat). Where do I begin...the bread basket! The boyfriend and friends loved the bread baked with salami and cheese. I was in love with the slice that was on top (glad they gave only a slice because I would have stuffed myself before dinner was served). I shared the shortribs with farro with boyfriend- delisioso!!! The dish was so tasty and rich that if I had not shared I would have not eaten my main dish, which of course was the popular spaghetti. I tried not to get overly excited in case the dish failed, but it was as good as I had heard it would be. Boyfriend ordered the duck/foie gras ravioli and as much as he liked it he   was hoping for a bit more texture- perhaps pieces of duck meat. I think the duck and foie gras were blended together. Service was great- our waters were kept filled and the server was always nearby in case we needed anything. Definitely would come back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.319270833; 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: The food ranged from mediocre to pretty good. The service ranged from terrible to just okay. We waited, and waited... and waited. Waiting for a table - not their fault. Giving us beers before we were seated garnered bonus points for the serving staff (though they did take about 20 minutes). When we were seated outdoors, we were set right next to a massive air conditioning exhaust vent, which intermittently churned hot air directly on to us - not a pleasant experience on a hot summer night -we moved tables when another opened up. While this wasn't anyone's fault (it's NYC, gotta make space where you can), it was not pleasant. Our server was nice, but she wasn't attentive. Another couple that was seated at the same time as us had their orders taken after about ten minutes - we had to wait another 10 beyond that. When they waited ten minutes for their food, we waited about a half an hour. When we asked the waitress to stagger the order, she apologized and brought some cornbread. It was nice, but after she repeatedly walked by our table without so much as a glance, it didn't do much to earn her any more points. It also would have been nice if she had brought us water as well. Finally, the food. Wrong order. Despite telling her I didn't want to wait for the correction, she insisted, and brought it anyways.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.097428571; Sentiment_Subjectivity (from 0 to 1): 0.650428571 [/INST] Not Spam</s>