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: This was an incredible special occasion place!   Service and food were 5 star!   My husband and I shared the chicken under a brick for two...we didn't finish! It was so much! The potato buns were warm and so light and fluffy they melted in your mouth!!! Excellence is the word for this place!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.209964923; Sentiment_Subjectivity (from 0 to 1): 0.617346939 [/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: Oh how I was looking forward to my first meal at the Minetta Tavern. Of course the burgers receive the most attention, but a friend recommended the French dip ($25), served only at midday. I practically skipped downtown imagining the juices from morsels of prime beef mingling with au jus on a crusty bun. The measly two stars I'm awarding the Minetta Tavern indicate that the French Dip was a letdown. As was the burger...not the Black Label, which I didn't try, but the $19 Minetta Burger. In fact, one of the stars is just for the French fries, which were absolutely perfect and irresistible. Absent their glory, Minetta would rate just one star in my estimation. Why? it all starts with the superficial and faintly patronizing attitude of the host, which was echoed by the bartender and server. Only the hardworking busser earned my respect with his diligent attention to our needs. Then there's the pacing, with the kitchen pushing food out fast so we would vacate the table for other patrons. Instead of being allowed to enjoy a cocktail first, our drinks arrived 10 minutes after the main course, and only after prompting the server. The efficient kitchen sent us a well cooked but under-seasoned burger. It was good, but so are the burgers at dozens of other restaurants in Manhattan. The much anticipated French dip was a miserly portion of tender but flavorless beef. The roll was soft and cottony, and the au jus strangely sweet from an overdose of wine. The excellence of the fries only highlighted the mediocrity of the other items on the plate. The chocolate gateau that finished the meal must have been created for transport from a far flung factory rather than to transport our taste buds. The base was strangely gelatinous, and the other layers had flavor, but were too stiff to melt in the mouth The Minetta Tavern runs like a machine. Efficient but lacking a heart and soul. We were in and out in an hour, full but unsatisfied. Next time, I'll eat in a more hospitable environment...one that offers better value for the money.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.074140212; Sentiment_Subjectivity (from 0 to 1): 0.488888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheesecake!!! A must try for any in NYC, the best Recommend Grade: A-; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When going to a restaurant named Extra Virgin where they offer you the choice of "Fruity" or "Organic" olive oil for the bread, you should probably order something with oilve oil or something related in it, right? Well I'm not very good at following common sense when it comes to ordering food, so I got the Papardelle, where the noodles were a little hard for my taste and the sauce didn't have much more flavor other than sweet, but the brussel sprouts and the warm mushroom salad were really good. 4 stars for some pretty good food Revisit? Ya, to try something different; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.138269803; Sentiment_Subjectivity (from 0 to 1): 0.503994963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent food, and very strong wine list.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.781666667; Sentiment_Subjectivity (from 0 to 1): 0.976666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in on a HOT summer night. It was semi-crowded. Easily found a seat at the Bar. Great friendly Bar tender. Wine selection wasn't the greatest, but was good. People around seemed to be enjoying the atmosphere. They Played great 80's and alternative music while you sip your wine. Overall nice experience. Will come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.496212121; Sentiment_Subjectivity (from 0 to 1): 0.625757576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found this adorable place on yelp while my friend and I were on a quest for a Saturday morning brunch. We were too hungry to stand in line for Jane, and not wanting to venture too far from our friend's place on Thompson, I looked up local brunch places and this was the closest thing with 4 stars, so we decided to give it a try! Firstly, I absolutely loved the open front of the restaurant. The restaurant itself is quite small, but the tasteful decor and relaxed atmosphere made for a very chill, enjoyable brunching experience. This is what I imagine it feels like to brunch in a modern Parisian cafe (although I can't say for sure on account of me never having been to Paris... :( but regardless, this place is CUTE)! The food itself was quite tasty. I got the special french toast they had that day, which consisted of four enormous half slices of french toast stuffed with a fluffy cream cheese filling and chunks of strawberry, and topped with a generous portions of fresh mango, cantaloupe, and fig! Mmmm fig :) The french toast itself was decent, however I found the filling to be a bit bland and a little too heavy, even with all the strawberries in it. Overall, I liked it, but definitely not anything mind-blowing. Order it if you like french toast and fruits! My friend got the eggs benedict with salmon. I stole one or two bites off of her plate and I was pretty impressed. The eggs were poached and seasoned very well. It went perfectly with the smoked salmon (but really can you ever go wrong with smoked salmon?), and the seasoned potatoes served with the dish were super yummy! After eating here, I am so glad that we were too hungry to wait for Jane. I am completely charmed by Vin et Fleurs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.176741071; Sentiment_Subjectivity (from 0 to 1): 0.55234127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in for new years eve without a reservation, the staff was exemplary and the service was fast. For about $25 a head, you can eat really well and if you're willing to branch out a little, you can eat fantastically. The only reason I'm not giving his place 5 stars is due to small serving size, but it is in the spirit of the place to share and try different things. It's not fancy but in fact feels very cozy. I will be going back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.003285124; Sentiment_Subjectivity (from 0 to 1): 0.532231405 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Balthazar.  I've only been here for brunch on numerous occasions, and everytime it is the best.  The odd thing is that they stop serving food for a brief period of time (like a couple hours) between brunch and dinner, so if you head in for brunch one sunday funday at 4:30pm you may not get served (yes, I will admit - who has brunch at 4:30pm).  If you don't make a rezzie and have some time you can wait to be seated at the bar.  I've always gotten a spot within 15-20 minutes. Oh, and they make some yummy mojitos and have great wine. yum yum yum; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.304761905; 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: After flying in from SF and not being able to get to our hotel in midtown until a little after midnight, we dropped our bags in the room and headed off to Blue Ribbon.  Practically the only sense of life so late at night on Sullivan Street, this place was hopping. Our meal was very good, if not a bit over the top in some places: A plate of barbecue ribs was tasty and smoky, with the meat falling off the   bone.  A bit too sinewy in spots, though, which made for some chewing. Salt-and-Pepper Shrimp was also smoky goodness.  Four large shrimp - I think they were jumbo freshwaters - adorned our plate, and were just perfectly done. 1/2 dozen oysters: We normally do not order oysters like this, but they were fresh, sweet and tender. Corn chowder: A very pungent blend of corn and potatoes in a rich broth.  Very good, with grilled bread and a cob of corn.  A bit excessive, though, and very filling.  Enough to stop us from indulging on dessert, which is really saying something! Blue Ribbon is definitely a place that I'd love to have in my neighborhood.  And I'd go there often too if my internet fortune ever materialized.  Alas, reality dictates that it is a place for extremely special occasions.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.223080357; Sentiment_Subjectivity (from 0 to 1): 0.580625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Arrived at 950am on a Saturday morning and there was a good line started.  Metered street parking around were a plenty at this time.   Upon entering the establishment, it was a nice size with a plenty of tables, leaving scarce space to maneuver around.  There's only one bathroom and is very dim inside.   The menu was great as there were great choices for brunch.  We selected the jelly donut, homemade pickles, French toast dish, and the pork chop n waffles dish.  Everything was excellent as they were really big portions.  The pork chop was breaded and fried to perfection.  Moistness of the pork and the tastiness of the seasonings make it a great choice!  The French toast was amazing!  Soft on the inside.. Light crisp on the outside.. And sweet overall.  The pecans were a good addition for a nuttyness.   Overall, it was a great experience and would definitely return.  The food was great!  The atmosphere was inviting!  For those who enjoy eating brunch on the weekends, this is a great spot!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.4312; Sentiment_Subjectivity (from 0 to 1): 0.540666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recently had a "girls brunch" at the Writing Room. The Writing Room is a cute restaurant on the Upper East Side. I loved the atmosphere, especially the back room that has a library like feel. However, I found the food to be overpriced and underwhelming. The cornbread was dry, and the salmon eggs benedict tasted too fishy. The bakery items seemed better than the other brunch options. If I returned I would probably stick to the cinnamon rolls. They have a decent tea selection of high quality teas, but the mimosas and cocktails were far too pricey. My mimosa had hardly any champagne....and paying 13 dollars for a glass of orange juice is a bit ridiculous. While I liked the location and the decor, there are much better brunch options in the area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.150625; Sentiment_Subjectivity (from 0 to 1): 0.598333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely my favorite spot for Korean food in NYC. It's fast, cheap, and no hassle cafeteria dining.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quest for the holy grail (aka the best burger in nyc) is complete!  I've been to the burger joint, numerous forgettable establishments around the city(see my review on dj reynolds), and many places big and small.  Somehow tucked away in this bar/pub/whatever Irish people call their watering hole, is one of the best burgers in the city.  Went there with a group of three friends who all ordered typical bar food, deep fried with a side of fries. My cousin had made an off hand comment about the burger's being good and luckily for me that was just what I was in the mood for.  I ordered the buffalo burger medium rare.  A lot of times when places list the weight of their burger its before they cook it, so a 10oz burger can become an 8.5oz burger depending on whether or not the customer enjoys eating hockey pucks.  Never the less, it was not a problem here.  The burgers are big, juicy, and very well cooked.  I'm not going to lie, I'm always nervous about ordering a burger in a bar because more times then not, its cooked one way-BURNT, regardless of how you ordered it.  Again not an issue here.  Also the steak fries they serve it with are nice and big as well. Left this establishment extremely happy and filled.  Can't wait to bring more friends back here and let them taste the glory that is the best burger in NYC.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.264423077; Sentiment_Subjectivity (from 0 to 1): 0.423076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch spot!! fantastic special carrot ginger soup... the mussel pot was so huge I wish we would of shared it! Great flavor with the mussels and the broth. I want to come back for brunch ASAP!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.50952381; Sentiment_Subjectivity (from 0 to 1): 0.620238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had Steak with eggs in Brunch menu. The portion is big for $21 and it includes a drink. The steak is very tasty. The service is great, the staff are very friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.371875; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is very good and they have an extremely consistent menu.  The food is all made on the premises, from the stix to the pita bread.  It's also very affordable, a dinner with my family ended up costing less than 100 dollars and that includes cocktails and a 20% tip. The chicken stix are delicious, as are the chef's special.  I have yet to have a bad meal at this place and I've come back a 1/2 dozen times.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.138941799; Sentiment_Subjectivity (from 0 to 1): 0.509417989 [/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 place would receive 4.5 stars if they would do something about the noise level.  Seriously, this is a very nice wine bar with a delightful menu, not a loud pub for the 20 something crowd.  I used to love to come here, but I stopped because of the noise.  If you are not sensitive to people screaming over blasting music, then definitely stop by.  All wines are wonderful, as are flat breads, salads, cheese plates, flourless chocolate cake, etc.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.313518519; Sentiment_Subjectivity (from 0 to 1): 0.732407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 you have spent hours walking around and shopping @ 34th street; hunger is soon to follow. But where can you go to get some good, cheap, filling, food? Stop by Woorijip! The food seems to be prepared fresh and most importantly; its cheap! Its open late, say after a Knicks game, or late night of drinking ... you can stuff yourself with some Korean goodness. I usually get the spicy boneless chicken, veg. thin noodles, a ricecake and a miso soup. Usually runs me around $6 to $8. Don't expect anything fancy, its good cheap fast food. They also have a hot bar which I haven't tried yet but looks fantastic.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1125; Sentiment_Subjectivity (from 0 to 1): 0.6075 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This review is for Tchoup Shop's guest cheffing at Halyards. In short, awesome. I've had cajun/creole food from various places in New York, but none have really wow-ed me. Tchoup Shop still has me hungry for it. Let me start with the best. The biscuits were fabulous. Totally raised the bar for other biscuits in New York and anywhere else. I'd imagine with gravy they're even better, but they don't need anything. Simply plain, they were delicious. After that, everything ranged from really good to great. Deep fried liver balls sounded a little strange but were good, delicious sausage, head-on shrimp that had a bit of an Asian kick... I don't know when I'll be back, but I want more.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325910503; Sentiment_Subjectivity (from 0 to 1): 0.508314512 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is overrated. The Tom yam Kung is not authentic but the price was cheap and there were enough shrimp. The pad Thai was good and huge. Don't go on Friday or Saturday if you want to eat. The hype was crazy. Go on a weekday. It's just cheap in a nice enough environment.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183333333; Sentiment_Subjectivity (from 0 to 1): 0.727777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 starting to feel the love for Nolita. It's a fun little neighborhood where you walk past little hole-in-the-wall gems every few feet. We decided to hit up this place for the Prix Fixe lunch ($20) and were very impressed. It came with any salad/app, any pasta or the Pizza Margherita, and coffee or expresso. They aren't stingy with the app/salad options as any salad will suffice - event the Grilled Chicken salad, which is normally $12 and more like an entrée. The vine ripened tomato salad was excellent. Just a bit of arugula and heavy on the tomatoes... just like I like it! For the pasta, I went for the Tagliatelle al Ragu, which was good but not amazing. I think I may be a little bitter because my leftovers died a slow and painful death, which was not the fault of Emporio. Overall, the whole experience was well above average. The restaurant is cute. We sat in the more casual front portion and I think the classier back portion is where they serve dinner. Our waitress was extremely helpful but not patronizing. Good times were had by all!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.075431034; Sentiment_Subjectivity (from 0 to 1): 0.535057471 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was great, even though it was packed on a Friday night, the service from the host to waiters was friendly and on point. Jose and Giovanni behind the antipasto bar took great care of me. The food was delicious. Would come back for sure !; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.457142857; Sentiment_Subjectivity (from 0 to 1): 0.655555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cute cafe place in Cobble Hill, Brooklyn for brunch. The pancakes were really fluffy and crispy, so pleasant! The eggs florentine was yummy, even the salad on the side were real good and crisp. Chicken sandwich is definitely a must have!!Great price and great place! Reminder: Cash Only.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.318518519; Sentiment_Subjectivity (from 0 to 1): 0.764814815 [/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: Enjoyed Thanksgiving prefixe, extraordinary friendly and professional staff!  Our dinners were excellent, nice selection of wine and very pleasant atmosphere.  Mixed crowd of young people and 50+ something.  We will return to The Red Cat!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.398666667; Sentiment_Subjectivity (from 0 to 1): 0.595 [/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'd been hearing so many people rave about this place for so long so i was super excited to try it out with my husband and some friends on a lazy saturday afternoon...as expected there was a line but we got to place our order pretty quickly...we shared a double between four people and a toddler...i found the servings to be very generous and reasonably priced...as for the actual fries...eh, i found them to be pretty average...we got the especial, roasted garlic, mango chutney, and pesto mayo...my faves were the especial and pesto which i thought really complimented the fries very well...overall, pretty average.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.138020833; Sentiment_Subjectivity (from 0 to 1): 0.538541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: YES, YES AND MORE YES!!! Came here 2 weeks ago with a friend when we were craving a solid HK style BBQ rice meal.  It was around midday on a Saturday and although the line was slow, we passed the time chatting with the other people in the line - especially the kindly gentleman ahead of us who bought 7 roasted pork lunches for his employees. At any rate, I am not going to repeat everything else that everyone else is already saying about the great rice and BBQ meat boxes. I'm just gonna give everyone the same heads up that the kindly gentleman gave us - this place also does "chu cheung faan" (a steamed rice noodle) with sweet sauce and peanut sauce and that there is NO WAIT for this at all.  The waiting in line only applies if you are lining up for rice. And I definitely do think that I will be back tomorrow morning, happily cutting the line and heading straight into the back to get a delicious and satisfying breakfast of chu cheung faan.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.222309028; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Terrible service. One of the rudest hostesses I've come across in this city.  The food is not good enough to tolerate the nuisance.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.45; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome place.  We went to two of Danny Meyer's restaurants on our trip (the other was Gramercy Tavern...omg).  That guy is legit. We had two cheeseburgers and split an order of fries, and my wife had a glass of rose.  Food was very fresh and tasted fantastic.  Fairly quick service, especially considering how long the line was.  Lunch took us about 45 minutes and we left very satisfied.  I wanted to go back before we left, but no time.  We'll return.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.266527778; Sentiment_Subjectivity (from 0 to 1): 0.564583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome! I LOVE THIS PLACE!! LOVE THIS PLACE!! Very subtle and private setting. The Decor: Friendly and warm. Really quiet and laid back atmosphere. Nice! Very metropolitan. Service: The service was EXCELLENT!! Our waiter  was, friendly, warm and simply great! Food:   Appetizer's: I had the East Coast oysters with Champagne mignonette and they were just awesome!!! We love the presentation!! Just amazing!!! Main Course:  The Manuka and marmite braised baby back ribs with squash puree and broccoli was just AMAZING!!! The ribs fell off the bone and was just Oh My GOD! LOL!! WOW! Drink: Water served up nice and cold. What an incredible place!! I would gladly go there again!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.521431327; Sentiment_Subjectivity (from 0 to 1): 0.67191358 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the other night and we enjoyed the service and the food. My mussels were delicious with a touch of african  spice and my friend loved her fish.  Service was attentive and i always had my water glass filled!  The chef/owner was even nice enough to say hi and make sure we were happy.  Thanks for the great time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.451923077; Sentiment_Subjectivity (from 0 to 1): 0.693376068 [/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: reliable top quality and service. I wish i could eat here more often. The best ingredients prepared in the best way. very seasonal offerings. knowledgeable servers. great bar. superior wine list. pricey, but way worth it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.634375; Sentiment_Subjectivity (from 0 to 1): 0.45625 [/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: Best late night meal!! I've been coming here ever since 2007. I always make it a point to bring all of my non-NY friends here. This may as well be the highlight of most people's night. Few tips: -WHITE SAUCE is the bomb. Just down your bowl with it. -Careful of the red sauce. Even if you like spicy stuff, this is REALLY spicy -There are two carts across the street from each other. They are the same -$6 combo (chicken & lamb) is the way to go; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.004224537; Sentiment_Subjectivity (from 0 to 1): 0.369907407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my contribution to help Ippudo maintain its most reviewed status. Along with it will come the obligatory comparison to Totto. Pork buns: Totto wins; hands down. That doesn't mean one should not get the pork buns here. They are still really top notch. The noodles themselves: Ippudo wins; hands down. They were superb. Oh man, were they so perfectly toothy. Give me a bucket of that with some Akamaru broth, and let me eat myself into a food coma. Dare I be a heretic and say they are better than Chinese hand pulled noodles? Yes, burn me at the stake, because they are! The broth itself: Hard to say. Both are good. I got the most popular choice at both. This is up to the taster, I suppose. The service here was a little loud. If someone could fill me in on what the wait staff yell's to each other, I'd greatly appreciate that. The service is very prompt and expedient, but the bender I went on two nights prior might have frayed my nerves enough to lower my tolerance for sudden bursts of shouting. My final verdict is that you should come here. This place is practically a land mark.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.226888889; Sentiment_Subjectivity (from 0 to 1): 0.497277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place, I really enjoyed. Came through here with a friend of mine for some Restaurant Week yummyness, and I was pleasantly surprised by the set up. Here's how they did it: first, you could order 2 appetizers per person instead of one, so by the time all our appetizers came out there was basically no room on the table for anything! But before that, they even let you sample the "cocktail of the day", for free, for Restaurant Week. The one we had was a Gin based cocktail, with cucumbers and some other stuff accenting it, it was quite yum. As far as the food goes, we got Hummus (of course), Falafel (also, of course), this sweet shrimp and then some lamb meatballs. Everything came out and looked great, and tasted great too. The falafel was on the side of perfect really, and they brough our stuff out with pita bread to wrap our yummy food in. The only thing out of the appetizers I wasn't a huge fan of was the shrimp. It was good, very flavorful, but you had to remove the shell, which was quite a hassle, to say the least. By the time you were done shelling it, you only had a little morsel of shrimp left! It would be nice if they brought it out with all the work done for me...I guess I'm just spoiled? For the main course we both got the chicken shish, which was alright but honestly I was expecting the food to have a lot more flavor, and also for there to be a lot more food! It was still good though. The desserts were good, but again, I'm not a big dessert person. I got the chocolate bar, which was, really chocolatey! My friend got the cheesecake, which was alright, but we were both expecting it to be a lot more than it was...i'm really enjoying my plethora of Restaurant Week conquests...on to the next one!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.305989583; Sentiment_Subjectivity (from 0 to 1): 0.591927083 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best cart food in NYC and I am fortunate enough to work in the area. This is the only line I will stand on for 20 minutes. Tony makes a good cheeseburger, nice and red on the inside with arugula, grilled onions, and peppers spilling over! YumYum!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.385714286; Sentiment_Subjectivity (from 0 to 1): 0.585714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wings were very good and the hottest sauce is delicious and lingers for quite a while. I had an order of hot along with a half dozen of the hottest and my mouth was burning for an hour. It was worth it though and I recommend them for those who like flavor with intense heat that doesnt seem to go away.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.415555556; Sentiment_Subjectivity (from 0 to 1): 0.649444444 [/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: My first ever yelp review, just to say how much I loved this place.  Small, but we went on a Saturday night and were able to get seating at the bar.  The food is fantastic, the staff (including someone who I think was the owner/manager and brought over leftovers after my meal was served) was friendly and accommodating, and the general vibe was just perfect to start relaxing night on the LES.  Great selection of beer and wine (and unique cocktails that sounded good, but I didn't try--next time!).  Plus great music.   Recommended: Red Cabbage Salad, Emmentaler Sausage, Austrian Meatballs.  I want to go back right now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.410714286; Sentiment_Subjectivity (from 0 to 1): 0.579603175 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 showed up at 7:15 on a Saturday night, and told the server that my friend was a mere 15 minutes behind me -- and much to my surprise, he sat me. I cracked open the bottle of wine I brought, sipped and soaked in the ambiance as I waited. It's definitely a date night location, but there were a fair amount of families and large parties packed into a very cozy space. Super casual, quirky and quaint all at the same time. We got the fried oysters, the greens and tomato (with mozz) and seafood chowder as apps. Yes, we were hungry. I am not a huge soup person, but the seafood chowder is cooked so perfectly, and so delicious, I thought, "Why can't all soup taste this good?!" For the entree, I got the Cioppino, which was spectacular. My friend ordered the snapper, equally impressive. Scrapped the fruit tart off the plate (that good), and we stayed till they were nearly closed. I felt bad and hustled my friend out of there, but liked that the servers didn't rush us. All in all we spent a little over a $100. Bring cash with ya!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.176176835; Sentiment_Subjectivity (from 0 to 1): 0.64702381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you did not get anything else from any the reviews here. Listen to this, just get the wonton's. And if you are still hungry after one order, get more and more and more. This is really the best place to get wonton's. And even though everybody is complaining about the restaurant setting, you're in Chinatown, this is what you are to expect. If you want to eat good food, just eat it and be happy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.628571429; 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: Second visit here. The decor is still good, food is nice, particularly the excellent French Onion Soup and Croque Madame, but the service today was terrible. They seemed lost/confused with only a few customers to worry about and kept us waiting a long time, on one occasion forgetting us completely.The difference that we could see was that a lady (French and could be the manager) was here last time, but not on this occasion and the experience was night and day. Purely because of the service experience today we might not return, but if you catch them when the manager is there, then it's a nice experience and worth a visit for the food alone.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.155396825; Sentiment_Subjectivity (from 0 to 1): 0.473333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here on a date with my husband. we had a romantic evening with superb food and tried all sorts of wines. the service needs improvement, as our server didn't know many details about the menu. These are some key things we look for while dinning out. We will definitely come back with friends next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.214285714; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a fan of this place and def would come back again in the summer (warmer weather) or just with a group of friends in the evening. They don't mind too much if you are dwelling there for a while and they had tons of drink specials. I got the burger with shrimp and a side of fries with chimi-churri sauce. Solid food $12 for the burger and it was HUGEEE no way you could eat that w.o eating pieces at a time or deciding if you want to remove the onions or lettuce since I was def keeping the huge slabs of avocado. They had a lot of lunch specials there...I do wish they had fish tacos!!!! They also had tons of breakfast options but since it was a late lunch I didn't get any of those...def a drink and bar food place so set your expectations for that (even though the website makes you think it would be maybe nicer/calmer/I don't know what). The service was a bit WTF with the lady not understand or being able to recommend things at all..it was impossible to get a rec or ask a question so just deal with the fact there is no ice tea, you can't ask for fish tacos, and etc.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.026236979; Sentiment_Subjectivity (from 0 to 1): 0.553125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was wondering around in Chinatown for lunch the other day with a coworker, we walked blocks after blocks and just couldn't make up our mind on what to eat!!! Then we stumbled upon Bo Ky's doorstep, and that letter "A" poster finally had us sold. We each had a bowl of their special noodle soup, and an order of the fried tofu and shirmp (?) appetizer. The app was just a-okay, nothing impressive, though when we asked when ordering, the waiter claimed everything on the menu is good!! Anyhow, I LOVED the soup broth, it's similar to the broth that you can find in most vietnamese restaurants, very savory!  I'll definitely go back for the noodle soup and try out their famous duck as well :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.380250186; Sentiment_Subjectivity (from 0 to 1): 0.628869048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Like the reviews echo -- amazing home cooked authentic italian food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.55 [/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 pizza is legit and that's coming from a Chicago-style deep dish fan. I typically don't like the thin crust but Grimaldi's was a nice surprise. The sauce was tangy and cheese was just gewy enough. The line seemed endless even a half hour before opening. So we called and ordered ours to pick up. 40 minutes later we were eating a great pie in the park with an amazing view on a beautiful day.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.181060606; Sentiment_Subjectivity (from 0 to 1): 0.61969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 decent restaurant, I suppose. I wouldn't necessarily return there but it wasn't bad. The food was fine. We had the spicy basil noodles and the sautéed spicy basil dish. I liked the decor but found the atmosphere rather annoying (loud bad house music, rowdy patrons and inattentive staff). All in all, A-OK 3 star.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.114583333; 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: My rating is based on customer service, not food. The food was the best I ever had. The customer service was horrendous. The second I sat down I was told I had to order after I waited 25 minutes for a table. My husband had not yet arrived and the lady told me that if I did not order immediately then I could not eat because the kitchen will be closed. She came to me every minute for 10 minutes doing this and then she ordered me to order right then and there. I would have left but my husband wanted to stay. While the food is phenomenal, I will not eat there again. Even the people next to us wanted to take a dish back, but they were told they could not! If you want good Thai food and good customer service, got to Yum Yum in Sunnyside. The food is not as good but a close second and the waitresses there are superb!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.330725624; Sentiment_Subjectivity (from 0 to 1): 0.323185941 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 live on Dean Street, but I moved away many years ago.  My friend still lives in the neighborhood and told me about this spot.  I went in and was immediately greeted.  I ordered the 1lb crab platter with potatoes and corn to go.  OMGGGG.  I made a complete pig of myself when I got home.  It was so good.  Everything was cooked to perfection; not oily, not salty, just damn good food.  NOM NOM; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.427272727; Sentiment_Subjectivity (from 0 to 1): 0.52 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here a few times now - twice for brunch and once for dinner. The only thing worth coming here for, I think, are the pancakes, especially considering the ridiculous wait. I normally don't enjoy pancakes - they're a bit dry and I'm not a fan of maple syrup. However, Clinton St. Baking Company's pancakes are awesome and even the maple butter is pretty good. I recommend the banana walnut pancakes in particular!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.20530303; Sentiment_Subjectivity (from 0 to 1): 0.657575758 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here too late for breakfast, but had some pastries and cappuccino. The cappuccino was one of the best I've ever had! Starting with the perfect latte art heart, the milk was perfectly frothed and velvety, and did not dilute the flavor of the underlying espresso at all.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.54; 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: Well, this one is a tough cookie to crack. Had a lovely rendez-vous with a girl here.  Having been to Ivo and Lulu before (the girl i am dating took me there in 2 mo ago) i was tempted to make a dash for it again, since it's right next door.   But i could not bring myself to have this other girl steal her thunder, so it was La Sirene. I wasn't aiming for something romantic, this was more like a friend date, so La Sirene was ideal (Ivo is def romantic).  No prententiousness either. So far so good. So we start with my wine selection.  This place, as Lulu, is BYO, so I took my time to select something decent. My adventurous spirit didn't pay off.  My wine was not good.   But then the dishes arrive. For the selections we made (pork tenderloins and some sort of duck in cherry)  i was impressed with the promptness of the order. The appetizer, french escargots, also arrived quickly and were tasty. (For those counting, it was 6 snails). They were properly prepared and went well with the bread.  Maybe the conversation was good, but all in all the food arrived faster than i thought. Apparently the chef is a well known french master.  Well, my hat's off to the chef.  The entrees were top-notch. My companion could not stop raving about her dish.  I didn't say much but i knew that my expectations had not been that high. The food is better than Lulu, no doubt. The chef actually came out to converse with the table right next to us, on his way out to go home.  Nice guy. So are the waitresses.  Charming, not pushy, and genuinely interested in us, trying to make conversation.  Nice gesture. La sirene is a great place to take a date, perhaps something informal. I am on the fence on whether this is a first date place, but good for almost any other ocassion. But then i can't give this place 5 stars for 2 reasons. 1) Its too expensive. I suppose you pay premium for the food, but i go on so many first dates, i can't really afford to really get to know this place on a consultant salary, especially when some girls expect me to pay. Maybe when i move to a Fund, but not now.   (...and sorry ladies, when you dont pay, that's a big, red flag!  Unless your date is 20+ in years or kilos, its NOT ok. Don't go wondering why some of us who are not fools did not call after sleeping with you... ) 2) The portions.  Small. For a smaller guy or a girl, portions are ok. For a guy that plays soccer regularly and is extremely active, it won't be enough. Also note that it is difficult to bring a group here. Too small of a place. It therefore kills one of its great allures: Intimacy. All in all, i did love my experience at la sirenne.  I can't give it 4.5 stars, so 4 it must be.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.202842971; Sentiment_Subjectivity (from 0 to 1): 0.528661041 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was featured on  'Unique Eats' , it looked interesting so I put it on my must try list. Although the food wasn't terrible, I definitely will not be going back a second time. I ordered the spicy pork meatball with mushroom gravy and my friend ordered the beef meatball with spicy meat sauce. The meatball was ok but the gravy was cold and gelatinous which was a real turn off. I also ordered the risotto (fennel) which was also cold. I'm really disappointed....had higher hopes for this place. Maybe if the food was served hot it would have made a huge difference. They do have a pretty good beer selection but pay attention to how you order, I ordered a "glass" of the spice ipa which I thought was  $3 but when the bill came I was charged $6 bc apparently I got a "pint" (?)...that's what I get for wanting to try new things. Overall, an underwhelming experience. I'm sure your Nonna makes better meatballs and if you don't have a Nonna then google a meatball recipe, I'm sure it'll be just as good, if not better.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148390152; Sentiment_Subjectivity (from 0 to 1): 0.584680135 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best pizza in NY. Amazing ambience. I love it!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.866666667; 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: Was once again reminded on an excellent service at distilled. While I wasn't served popcorn and server didn't arrive right away (2-5min), I was offered a free drink as waiter was apologetic. Sincerely of whom I appreciated. I declined a drink because didn't want to drink on Sunday. To my surprise, they offered to cover my lunch (granola, chicken wings and orange juice) when I asked for a check. I'm greatly impressed and will be coming back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.348214286; Sentiment_Subjectivity (from 0 to 1): 0.610714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 actually live across the street and was pretty psyched for this place to open. I wasn't expecting much, just a place to get a drink and something to eat when i was too lazy to go 5th ave.  It's been open for some time now, and I've probably only eaten here 5 times. I've gone in a few more times for drinks because it's so convenient. Nice selection of drinks and mediocre food and service. With so many better options up the block, it's hard to understand why people go here. It's nice to look at though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.136313131; Sentiment_Subjectivity (from 0 to 1): 0.656111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my favorite French restaurants. Quality is consistent and the service is great.  I like the Monk fish with Wasabi sauce.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I took my boyfriend here for his birthday and we both enjoyed it!  We were seated upstairs.  The atmosphere was sexy and intimate-- we never had a problem hearing each other and we didn't have to yell.  But tt was very dim.  And not exactly "cozy" dim. So dim, in fact, that we had to be dorks and take out our cell phones and turn on the flashlight apps! Our waitress was attentive and kind and never let our glasses get empty. The dishes were teeny tiny but worth it-- so delicious! The bacon wrapped dates and olives were unbelievable.  I loved the fried goat cheese with lavender honey but my boyfriend didn't care for it (oh well, more for me!) The duckmeat crostini were to die for-- a perfect combination of flavors. The white wine sangria definitely got the job done-- it tasted like pure hard liquor with a slice of orange floating around in it.  Definitely not what I would consider "sangria" but a potent cocktail! My boyfriend tried to be adventurous by trying the sea urchin risotto, but I couldn't handle more than a bite.  It was just a little too exotic and fishy for me. I would definitely love to go back to try more things-- with such an extensive menu i have a feeling you could come back again and again and always find something new and delicious!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.27573563; Sentiment_Subjectivity (from 0 to 1): 0.586237374 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 younger friends love this place, but the rest find it too loud, and over crowded. I also do not like places where there are lines of people posing outside for selfies wearing uggs and huge sunglasses. However, the food is great, so if you can get there in-between prime times, go for it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/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 friend of mine recommended this place to me & I was reluctant to try it. It's located next door to the famous "Patsy's".. and of course, you're tempted to go to Patsy's. Well look no further for a perfect meal. Brasso56 has AMAZING food, ambiance & service. It's an all around winner. The menu is Italian, extensive & uses fresh ingredients. Their specials are a long list of "oh my"... and the hardest part about eating there is actually selecting what to go with! My appetizer: - hand pulled motzerella wrapped in proscuitto & crisped Dinner: - Lobster crepes, which were OUT OF THIS WORLD. This was the dish my friend recommended & the presentation was in 2 purses. It was outstanding Dessert: - Tiramisu, Port & Cappucinos I will eat here again and again (when I'm in NY). The prices were upscale, but not ridiculous. Eat here, you won't regret or forget it! Oh, and ask for Alex - tell him the California people sent you :-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.273717949; Sentiment_Subjectivity (from 0 to 1): 0.58525641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great for the drinks but I'm sorry the food blows for brunch. It was so sloppily prepared. I had the chicken sandwich and it wasn't even cut right. The bread was burned. How can you mess up a sandwich? Also my friends omelette looked tiny and tasted rather bland. Drinks were terrific and the reason why I would still go back. Eat slow and drink up the food is lackluster but the sangria is terrific.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.089384921; Sentiment_Subjectivity (from 0 to 1): 0.657837302 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 work by this establishment and my coworkers rave about this spot.  I tried it for the first time on Friday.  I arrived around noon and the 6 seats they have were filled.  I ended up ordering the steak burrito to go.  It's kind of pricy close to $10; however, it's pretty filling.  I shared a burrito and we were both pretty stuffed.  I loved the salsa and the green hot sauce.  I think this is probably the best Mexican spot I've had in New York.  I'm not a fan of your typical Dos Caminos, etc.  I'd definitely come back to try the tacos next time!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.231313131; Sentiment_Subjectivity (from 0 to 1): 0.522525253 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: HOLY FUCKING SHIT! piesnthighs goes way beyond the caps lock capabilities of my keyboard. best biscuits and gravy ive ever had.  AND IM HUSKY! the staff is intimidatingly attractive, the food is amazing, the bathroom is wholesome.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5375; Sentiment_Subjectivity (from 0 to 1): 0.75 [/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 wait is definitely worth it.  I agree with all of the reviews...this place is great.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Same experience.  Got pushed to the bar this time, which was ok.  Service a little better and the chick went out of her way to say thanks for the tip on our way out.  Which I appreciate.  Food still on point, very good dishes.  Wine still warm.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.360357143; Sentiment_Subjectivity (from 0 to 1): 0.457857143 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome ambiance on a beautiful summer evening. Great wine options. Wonderful menu with homemade pasta. I had the spinach gnocci. Only complaint....many of the dishes were veggies only (great for a vegetarian!). CASH only! Would def go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.516666667; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here last night for the first time.  This place is all style and no substance.  I had the mac attack as my entree and overall, it was pretty mediocre.  The one w/ the truffle oil wasn't bad, but the other two tasted like standard mac & cheese you can get elsewhere.  I also had the apricot arnold palmer drink and that just tasted like bad lemonade, not at all representative of the description on the menu.   And as for service, our waiter was rather snooty and never bothered to check in on us to see how our meals were.  So Cafeteria is wayyyy overhyped and way overpriced for what you're paying for.  This place definitely tries too hard to maintain a certain "attitude" and tries to be this hip, upscale-ish type of place when it just comes across as pretentious and inauthentic.  It's hard to believe that people would actually line up to eat at this place.  Do yourself a favor and go somewhere else for better food and service and doesn't try to pretend to be something that it's not.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.111414566; Sentiment_Subjectivity (from 0 to 1): 0.462535014 [/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: After my dinner last night, I absolutely cannot avoid shining the shoes of this place with the greatest and most illuminating polish.  Usually, restaurants are so finicky about allowing you to sit at a table for a large group of people if they are running late. Fortunately, the waiter/host let me enjoy a break from my heels while I waited for my fashionably tardy guests. He must've known that I walked a good 10 blocks with enthusiasm from the 30th avenue train station (I was prepared for greatness, but damn, it takes a good minute to get to 21st street, land of barren Astoria for a long stretch).   Additionally, the humble, comical, raspy-voiced nice man who was our waiter was extra patient when it came time to our reflections over the menu. I had read from yelpers that the butternut squash soup was to-die-for, but there were so many other items that caught my attention (and my friend's as well- brussel sprouts?! -I'll get to that later).  The menu is one page and filled with semi-traditional Northern Italian cuisine with a little flare, such as frisee salad with pomegranates and roasted buttercup squash. We chose a Primitivo for the wine, recommended by our waiter, and it hit the spot (we ordered two, and we're not the richest kids on the block, so you must know it matched our expectations).  All items sounded extremely delicious, but then they hit us with the specials! I was the only one who decided to go for the gold. I got the Oxtail ragu, which, sadly, lacked a lot of flavor, but was cooked to great tenderness and would be superb if they had added a hint of cheese or salt. Other than that, I had the frisee salad with the most DELICIOUS squash that resembled more of a roasted potato with some kind of aged balsamic vinegar, and a side of creamy, soul-satisfying polenta.   Everything else that my companions had was phenomenal (of course I tasted it all. Not ONLY was I birthday girl, but my family taught me to be an experimenter of shared cuisine). I recommend the Cavatappi for the creamy-cheese cauliflower lovers, the lasagna for the home-cooked lovers, and the butternut-squash soup with its little roasted seeds of spicy surprise for the taste-lovers. The most memorable dish was the side of brussel-sprouts, roasted to a crispy and wrapped in parmigianno cheese. I LOATHE brussel sprouts and these were an absolute gem.    My favorite part: everyone had to leave early being that it was a Wednesday night and work was on the horizon for the next day. So, one of my dearest friends stayed with me, and I told him "We'll leave after I finish this wine. Wasted wine is a sin!", but just then, the gentile waiter turned the corner with a candle on a slice of cake and placed it in front of us. I turned to my friend and said "Wow. I must look hella lonely with 5 empty seats around me, only you to witness my birthday cake. Oh well, let's sing!" And we sang my birthday song, and as soon as I bit into this cake, I cannot tell you what heights I reached as far as tasteful bliss goes. Cake is not my favorite dessert, but this baked cake with some kind of crusted caramel, and home-made whipped cream, was superior to all cakes I've ever had in my life. This is not a joke. So, I couldn't care less about it just being the two of us. More cake for us!! To complement it, the gentile waiter also filled our glasses and said "it's on me."   Thank you, Vesta, for making my birthday night magnificent. Any quaint little restaurant that can accommodate me (and my insanely loud laughter) is definitely on my list of exceptional. I can't wait to go back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.256480415; Sentiment_Subjectivity (from 0 to 1): 0.616321045 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last month for its "famous" tasting menu. I have tried many upscale restaurants' tasting menus before and have to say when we walked out of there we were super disappointed because : 1) the tasting menu only had 6 courses and two of which were dessert and right after we sat down we were told one of the dessert courses is not available that night and would be swapped for ice cream with strawberries. Turned out the course was literally two scoups of ice cream with strawnerries. I mean ppl don't come to Bouley to eat something as simple as that !!! 2) the portions were tiny. Understand its a tasting menu but its the first time that me and my boyfriend both were unfull coming out of dinner. We didn't eat too much bread which is partly what this restaurant is known for i guess but then later realized that if you don't eat bread, just forget about the tiny portions with only 4 courses excluding dessert. 3) nothing special about the dishes. Each were good but nothing stunning 4) other places I been to make me feel like there were lots of surprises like the moma restaurant or Jungsik but not this one 5) caught a waiter pouring a full glass of red wine for himself that belonged to a table who sat next to us. Pretty pathetic. Not coming back here for another $500+ bill for sure.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.077969104; Sentiment_Subjectivity (from 0 to 1): 0.527543934 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 yelpers didn't do me wrong on this recommendation. Woohoo!  The cheeseburger was delicious!  Ginger martini was also a tasty treat.  Crowded when we got there but we got a nice little booth in the back that was great for people watching with a short wait thanks to an OpenTable reservation I booked about an hour ahead.  Handy no?  Ambience was nice.  Lots of good looking peeps with their extremely well dressed offspring having brunch here on a Sunday around 2 pm.  My kind of place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.320192308; Sentiment_Subjectivity (from 0 to 1): 0.696153846 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Flawless classic french fare Recommended * signature duck confit is perfect and the best you can find in manhattan * short rib saturday special is very tender and moist, cant go wrong here * fries are crispy outside and moist inside, the best you can do for non-battered/nonseasoned fries * creme brulee is classically done and very good Other tips * Not sure i like the idea of starchy beans with meat (comes with the lamb t-bones) but french places like to do this. * If choosing between duck shepherds pie and duck confit, go with the duck confit as it is a well known house specialty. Everything is done flawlessly. One of the few upscale restaurants in manhattan that is worth the price, wife approves; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.308358396; Sentiment_Subjectivity (from 0 to 1): 0.427999165 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walk to the Royale was long and rainy and by the time I reached this non-descript pub in the east village, I was soaked to the bone and as hungry as a wolf. With a Molson in front of me, from my perch at the bar, I ordered the Bacon Royale -- a burger with lettuce, tomato, onion, pickle and four thick slabs of bacon -- along with some fries and onion rings. Minutes later the burger arrived along with the sides. I munched on the fries for awhile and chowed down a few rings, both of which were salty, crisp and delicious. Now it was time for the main event as I took my first bite of a Royale. Immediately I was aware this is a contender for NY's best burger. The meat was perfectly cooked and the egg-white bun enhanced the flavor and consistency. By the time it was gone, I was comparing the Royale (favorably) to Corner Bistro and Back Forty. My only qualm with this place came when I was paying the bill. They don't accept credit cards. Luckily I had enough cash to cover my burger and beers. And it was worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.226143791; Sentiment_Subjectivity (from 0 to 1): 0.43120915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 review said "Hands down the best pizza in NYC".   My response: Ha hahah aha haha ha haha haha ahahahaha ha aha ha hahahahaha  Hooo hoo haaa  haaww  haww hawh ahahahahahahaha!!!!! It's NOWHERE NEAR the best pizza in NYC.  In fact, if they were to win an award, it would be the most overhyped pizza in NYC. Yes, Grimaldi's pizza is good.  Like Washington, I won't tell a lie.  However, its level of good does NOT make up for: * the unbelievable lines you need to wait on * the famously very rude service * the cash only business model (wake up, IRS!) * the claustrophobia you'll feel sitting practically in your neighbor's lap If you wait on line and suffer their waiters, and pay cash for this pizza, then you are a fool and a dolt.  If I walked by Grimaldi's and saw there was no line, and had some extra cash in my pocket, I'd go in.  Otherwise, I'd walk elsewhere. This is a list of who should go to Grimaldi's: 1) Tourists wanting to experience a NYC institution. 2) New Yorkers who have never eaten at Grimaldi's before, because ya gotta eat there once to make up your own mind. Personally, Di Fara's, John's, Totonno all kick the butt of Grimaldi's.  If you're after good pizza and not just the Grimaldi's institution, then go to one of these places.  You'll be much happier before, during, and after you've eaten your pizza! One more thing: don't go here on a date.  The table you'll be sitting at is way long compared to the distance from your neighbors.  You'll be sitting half a foot away from the two strangers to your left and right, and over 3 feet away from your date.  The ambient noise in this place can be more than just a little loud.  You and your date will have to shout to hear each other.  In the meanwhile, the couples who are 6 inches to your left and right also have to shout at each other to hear themselves.  So now you have 6 people shouting across the table to hear each other over the ambient noise.  While this can be fun with friends, it is very uncomfortable (at least for me) on a date.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.193065447; Sentiment_Subjectivity (from 0 to 1): 0.459095394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 atmospehere, good service, amazing food. Surprisingly enough, I ordered a burger and after a couple of bites, it was clear I was eating a burger that was destined for my top 5 of all time. Amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.471428571; Sentiment_Subjectivity (from 0 to 1): 0.647619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 2 stars for the food, 1 more for the service. This place has a similar set up to Cafe Mogador close by (similar owner maybe?), and when I came on a random Tuesday morning there was no wait. I had a pleasant table outside on the patio where I could people watch. I tried the pumpkin pancakes with cinnamon yogurt, and I was sorely disappointed because I love pumpkin and I love cinnamon! I must have had my hopes up from reading yelp reviews prior to actually coming here. My pancakes came out cold and without the blueberries I requested. I also felt the pancakes were thick and too dry for my taste. The cinnamon yogurt was decent but I ran out of that early on since I was slathering that stuff on the pancakes to give it more flavor. I ended up telling the waiter how I felt and he gave me the meal on the house.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.053431373; Sentiment_Subjectivity (from 0 to 1): 0.494607843 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 probably the best Vietnamese sandwich shop I have been to. Their bread is toasted and feels the most fresh. The meats are tasty. Their pickled vegetables are just the right amount of both tangy and sweet. And, as with most sandwich shops of this kind, the price point is nice: $3.75. I can't complain there. Especially since the sandwich is bigger than most you'd see in New York. Note that it closes at 6.30 daily.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.367082917; Sentiment_Subjectivity (from 0 to 1): 0.564635365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to this place twice now and that's only because it's a bit of a drive to get to.  The food is great and cheap and the ambience is wonderful.  The place is bright and clean.  My husband got the Arepa Bomba and I had the Arepa Pabellon -- both delicious.  Try them with the green cilantro-garlic sauce or with the spicy sauce (the other bottle you'll see on the table).  The brown sugar lemonade is great too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.494166667; Sentiment_Subjectivity (from 0 to 1): 0.7375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Venezuelan. I love Venezuelan food and I'm super picky because my mum is one hell of a cook. She makes the best arepas and empanadas. That being said... This place left me very impressed by its authenticity. If i closed my eyes it tasted as if i was sitting in my mama's kitchen. The menu is very impressive, they almost got it all. Ive tried pretty much every decent Venezuelan restaurant in New York and this is by far the best. Do it chamo!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.42972028; Sentiment_Subjectivity (from 0 to 1): 0.560606061 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Eataly is an amazing spot. A tourist attraction yes but still amazing nonetheless. My friend and I brought 2 of our friends here on Saturday because they just moved to the city and we figured since we were in the area we should show them. I personally hate going there on Saturdays but I was very pleased that we did. They were totally floored and taken aback by everything this amazing joint had to offer. I also appreciate there their head was at. They were like, "since we are here, we should have cheese and wine." To me that sounded like one of the most brilliant ideas ever. Although it was busy, I was able to snag us a stand up style table. I didn't even mind standing up because I was not only in good company but in the prescence of amazing food. After reviewing the menu, the girls picked out a few things. We ordered from the La Piazza Di Eataly menu. They ordered the Grande piatto misto di salumi and an assortment of cheese, and 2 insalate tricolore which was a salad with parmigiano reggiano and aceto tradizionale with a glass of asti spumante for only $11, not a bad deal there. I ordered a glass of Rose which was delightful. The girls thoroughly enjoyed their Asti. The salad was of a shocking good size for the price, beautiful greens of arugula topped with long strands of some of the sharpest parmigiano reggiano. The cheese and meat platter was also worth oohing and awwing over it. Served on a cutting board where long slices of proscuiutto, salami, and a I'm sure a few other meats. The cheese slices consisted of gorganzola, ricotta, parm, mozz which was all accompanied by figs, honey and what seemed to be orange peels but they certainly had a strong citrus flavoring to it. It was a lovely afternoon despite my feelings towards the tourists at this place. Like I said good company and some wine, is all one needs! The service was excellent and very attentive for the busy eatery area. Great place to grab a quick bite but an authentic bite at that!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.331434676; Sentiment_Subjectivity (from 0 to 1): 0.702828653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: wow - excellent place! had the saturday lamb special ($16?) and a virgin fritzer. lamb special was tasty and deeper than i expected!  (like a deep dish pizza, you underestimate it!) has a bar, outside seating, and tables inside. service is very good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.324910714; Sentiment_Subjectivity (from 0 to 1): 0.596607143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I thought this place was great - it got 5 stars because the service was awesome, the prices were reasonable, the food will suprise you - it was just really damn good. Is it the best restaurant in the city? No but I thought it was really a great time very intimate, a little more innovative than the traditional Argentine steakhouse as far as the menu is concerned. Make reservations though! You may wait quite a while if you just drop in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.453653846; Sentiment_Subjectivity (from 0 to 1): 0.671538462 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Admittedly, I did not go to the Red Hook location - Red Hook Lobster Pound has a stand at the Madison Square Eats event this year, so I was able to partake without having to travel all the way to Brooklyn. At first I was a little hesitant about the price per roll ($16) but eventually my craving for lobster overpowered my financial sensibility (no news there). I chose the Connecticut style lobster roll since I've tried Maine style lobster rolls before, and my GOD was it delicious. The lobster was fresh and succulent, while the butter and lemon made it a perfect combination. I think it took more time for me to decide to buy the lobster roll than it did for me to finish eating it. Will definitely have to make the trip out to the Brooklyn location so I can try their lobster mac n cheese.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.305681818; Sentiment_Subjectivity (from 0 to 1): 0.450757576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch spot, just wish they had brunch cocktails! I can't remember exactly what I had because the menu changes daily, but it was some breakfast-y bread pudding and it was delicious. The chef makes amazing biscuits. I would go back just for those! Dive-y place, but good service, inexpensive, and the wait was very reasonable, even for prime brunch time on a Sunday morning.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.47625; Sentiment_Subjectivity (from 0 to 1): 0.535 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 looked at Yelp.com while I was walking in the city for a place where my friend and I could have lunch. This place was great! They had a lunch menu with entrees that were close to have of the dinner cost. The place was full and the food was amazing! We enjoyed the white sangria too- but whewie- it was strong! But really good! I has the Ropa Viejio- YUMMMMYYYY! Loved the environment too- nice feel- crisp- clean and the employees are very friendly! I can't wait to go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.512900641; 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 read about Applewood when it first opened back in 2004 and always meant to get out there.  5 years later, I happened to move around the corner from it and finally got a chance to check it out.  It became an instant favorite.  We snuck in a little before closing time on a cool September night last fall and they welcomed us as though we were their first customers of the night.  It truly felt like an invitation to dine in an old friend's home.  The food was outstanding... scallops, sweet potato soup.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.482692308 [/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: Pizza - bland crust, sauce looked/tasted like what came w/ the old pizza kit in a box from the '70s.  Expensive for semi-edible cardboard.  Restroom was locked & waitstaff ignored my request for them to open it.  $10 artichoke app was very tasty but very small for the price.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.115277778; Sentiment_Subjectivity (from 0 to 1): 0.508888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 space, long open white walls, beautiful rustic tin ceiling, reclaimed wood shelves tables and bar, mid-century school stools. They should have a full bar but they don't. Instead they have a long list of odd beers that weigh in at a ridiculous $12/ea. I had a cider which was putrid. Also the only thing they serve is grilled cheese at an inconceivable $8 point of entry. I MEAN HAS THE WHOLE WORLD GONE NUTS? $20 for a beer and grilled cheese. Remember that thing your mom would make when she was too lazy to make you a real meal? Also, the crowd here was a strange and awkward cadre of wannabes. The waiter was an absolute dick. He chastised us from ordering from the owner instead of him. The owner seemed relatively friendly, but everyone else seemed kind of standoffish... NEWS FLASH you work in a service industry, if you dont like being cordial to strangers, maybe a career in library science would suit you better. IN SUMMARY, great space, absurd prices, lousy clientele, crap service, limited food options, no liquor, and an overall good time killing vibe. I will avoid this place like the plaque. Inevitably the only people who will come to this place will be major league poser a-holes and annoying foodies.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.040437788; Sentiment_Subjectivity (from 0 to 1): 0.630011521 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Drunk Brunch Bliss! $12 all-you-can-drink cocktails! P.S. From what I can remember that day, the Yerba Buena's guacamole is delicious!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.109375; Sentiment_Subjectivity (from 0 to 1): 1.0 [/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: Had the fried chicken and the chips and dip. Considering their recent write-up on Grubstreet, I was expecting a little bit more. There were no big flaws, just generally a slight lack of seasoning.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.075694444; Sentiment_Subjectivity (from 0 to 1): 0.411111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went there purely on that it got good reviews here. It's rare that I go to a place purely based on reviews of people I've never met! But this was great. I wasn't really sure what kind of place this was (showed up in my search for Happy Hour) and my first impression when I walked in was...This is a date place for sure, but it turned out that the couches and bar lends itself to a nice happy hour place...complete with a Tapas menu. The beer advertised was Yuengling, but the beer inside has changed. It's some other beer, I forget the name, nothing great. I switched to the Lychee Martini after, which was really good. Uh, then I continued with the Lychee Martini, which probably wasn't the best idea, but it still tasted good. The variety of drinks they had sounded pretty good, the food was great and the prices were decent (Tapas were expensive, but the drinks were cheap). I'd definitely go there again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.46765873; Sentiment_Subjectivity (from 0 to 1): 0.700115741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So pretty, so relaxing and chill, might just stay a while. Get a drink at the circular bar and surround yourself in books, wine glasses, and other patrons.  Definitely not a place to get rowdy with a bunch of friends, but the perfect place to go with a date or a friend or two to catch up. Happy Hour daily ($6-8 depending on wine or cocktails) and charcuterie/ snack items, so go!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.320833333; Sentiment_Subjectivity (from 0 to 1): 0.645833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 coming to Maialino, whether it's for Sunday brunch or a late night date at the back tables the staff are always responsive to the mood and the only time the food has disappointed me is when they take something I really liked off the menu (*ahem*, Olive Cake!) - then again, what they replace it with always makes this restaurant a venue I want to come back to regularly!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.025; Sentiment_Subjectivity (from 0 to 1): 0.478365385 [/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: Oh yeah.  Lombardi's was so much better than Grimaldi's.  Pretty close to perfect -- not too burnt or too soggy, just the right thickness, excellent toppings and quality ingredients.  It's hard to describe.  You just know when it's great pizza.  And even with a large group on very busy Saturday evening, the staff and our waitress were all very nice and did an excellent job.  As good as it gets.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.530694444; Sentiment_Subjectivity (from 0 to 1): 0.728829365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just amazing!!! from the time you enter the door (even if you have to wait a little) till you pay.. Food is so yammy and presented amazingly and drinks and selection of beers are awesome!!! Staff is very attentive and caring and pleasant - I have never ever had less than a perfect time... Definitely recommend!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.499907407; Sentiment_Subjectivity (from 0 to 1): 0.759259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 o Jane for brunch, and I had a most delightful experience.  The wait time was pretty brutal, but it was a nice day so I didn't mind hanging out outside for a while.  And once I had my Lobster Benny (eggs benedict with lobster), I quickly realized it was so worth the wait.  Brunch also comes with a drink (I had a bellini, my fave) and a bread basket with strawberry butter.  The strawberry wasn't a strong flavor, but the hint of it was nice.  As for the actual Lobster Benny- whoah.  It was prob the best eggs benedict I've ever had, and believe me I've had a lot.  Using a buttermilk biscuit instead of English muffins?  Genius. Definitely try this dish if you go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.295833333; Sentiment_Subjectivity (from 0 to 1): 0.555952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: cuban restaurants in chicago combined do not compare to this place. a major hole in the wall, superb service, homey/cozy atmosphere, i'm a sucker for amazing bathrooms (i totally brought my phone in there to take pictures of the sticker-filled walls). grilled corn (must order!), cuban sandwich with fries (amazing), shrimp tacos (my fave) with delicious rice & beans, fish tacos (great), plantains (yummy!!), and who knew lime jarritos with vodka would be so delish!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.4953125; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You want seafood? Look no further, this place has some delicious items on the menu!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.5; 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: got the chicken adobo and pancit bihon. both dishes were amazing and portions were HUGE MUST GET must order the special halo halo with taro ice cream for dessert!!! can't wait to go back and try the only items on their menu p.s. it's a small restaurant. was lucky and only had to wait 15 minutes for a table; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.131208664; Sentiment_Subjectivity (from 0 to 1): 0.728306878 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, nice ambiance, Terrible Service .....; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.866666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Two words: Mac and Cheese! Very good food. Great prices, nice sexy ambiance at night and I always have a great time here. Waiter was very attentive and knew when to fill my cup but he did it way too much [just let me drink in peace :) ]. Thank God that as many times as I've been here I've never waited for a table. As far as the ambiance the place is pretty tight and loud and I have no complaints about that. (that's that good old NYC for ya). The private room in the back is very nice and has a private and exceptionally clean bathroom for private guests. The biscuits and the menu for the private room were so good. We had salmon, mac and cheese, and apple pie la mode for desert BEYOND exceptional. I really enjoyed myself here nothing but good times.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.389029304; Sentiment_Subjectivity (from 0 to 1): 0.652527473 [/INST] Not Spam</s>