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: Not sure if my expectations were too high, but I was a little disappointed.  The drinks are great and they have a great wine list.  The food was just okay. The porkchop was good but the tuna had a really terrible after taste.   The tables are really close together so it's hard not to overhear everyone else's conversations. Like the cozy atmosphere.  Good to bring out of town guests.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.090833333; Sentiment_Subjectivity (from 0 to 1): 0.643888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 boyfriend made my Birthday in this place. I thought that it will be so crowded there for romantic dinner for two . It was just perfect we had very good table for two. Food was delicious , and wine was fine. I enjoyed our night. The one thing I didn't like, the way how waitresses were dressed :))!!! Beside that everything was perfect!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.725403646; Sentiment_Subjectivity (from 0 to 1): 0.81 [/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: Stopped in for appetizers and drinks.  They try to spruce up their apps to help them stand apart from standard bar food.  Could've been much better. Pros: nachos were very good, chicken nibblers okay, decent beer selection, excellent fish tacos. Cons: saltiest wings I've ever had (disgusting) gross fried pickles as well.  Service left a lot to be desired. I didn't try their dinner and unfortunately for them I won't be... They are one and done.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.088787879; Sentiment_Subjectivity (from 0 to 1): 0.581515152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 least favorite of the Momofuku's.  Food is OK, but nothing amazing.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.325; 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: Ended up at the Derby again last night with a bunch of friends.  Had to check back in on some of the other food I had seen before.  Ordered the Chicken Fried Steak, to be honest I was not really sure what Chicken Fried Steak was, but it was incredible!  Topped with mushroom gravy and served with fried Ocra, also very good.  Started with the Southern Salad, kind of an updated take on a wedge salad which was very tasty too.   Only issue really was the music, it was a bit funky at first but we mentioned it to the server and they changed it up and as the place got busier the vibe was much better. Oh, had a piece of friends fried chicken and it was as good a first visit so that seems to be a solid go to dish.  Nice touch of spice on the Fried Chicken.  Woke up thinking about how tasty it all was, if only I could eat like that everyday!  LOL; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1434; Sentiment_Subjectivity (from 0 to 1): 0.611088889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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,  good atmosphere, and on balance, good service. One caveat, don't be late for your reservation or you will be scolded.  A hostess told us we were late and our table was given to someone else.  She even told us she knew we would be late.  We were put outside in the very hot weather.  When people left we asked for a table inside but we were told we could not have such a table, but one was ready at our reservation time.  I will say this is a comment on one hostess, not service overall.  This happened two summers ago, so it may not happen again. Don't be concerned you have to order red meat, as is the case in some other Argentine restaurants.  There is plenty on the menu if that is not your fancy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.114285714; Sentiment_Subjectivity (from 0 to 1): 0.430357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 grew up making dumplings, because my cousins made dumplings, because our Aunts and Uncles and parents, and grandparents, all made dumplings. I've had them in soup, in chili sauce, straight from the pan, straight from the steamer... well, you get the point. Prosperity Dumpling offers both friend and steamed dumplings. The pork and chive is fantastic and the dough is perfection - with just the right thickness and crispness from the wok. The price is right too. 5 dumplings for $1!!! I ordered the sesame panke (like a light pancake) with duck too. I've had better duck, but the two complimented each other nicely and the panke was also very good and not very oily either. Everything was made fresh. Be prepared to wait on weekends, and a few extra minutes for the steamed dumplings. There's over a thousand reviews for a reason! For 20 dumplings and 2 sesame panke, I paid $7 TOTAL. Definitely a 5 star spot!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236985294; Sentiment_Subjectivity (from 0 to 1): 0.492731092 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been here several times and left with a good impression each time.  Spaghetti bolognese is one of the best I've had!  Walking to it, signage is limited that one could walk by unknowingly.  The ambience is nice -"classy" if you will, but prices are fair.  There are few Italian restaurants in bed stuy, so if you like Italian, I recommend you go!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.257142857; Sentiment_Subjectivity (from 0 to 1): 0.358441558 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Avocado toast! Enough said. I love coming here for brunch.  It's a small restaurant so on a nice sunny day there can be a wait but I usually don't care. I love the avocado toast so much that I don't mind waiting a little for a table especially if I get one outside. I know you're thinking: "avocado toast, you can make this at home!" But for some reason mine are never as good as Cafe Gitane's.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.164772727; Sentiment_Subjectivity (from 0 to 1): 0.518181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There is no other reason to visit this place unless you love waiting on long lines while you're raving hungry or you love pancakes. The only thing you need to order here are the famous blueberry pancakes. Maybe you wanted that burger or perhaps the friend chicken, but you can always come back another time. Treat yourself to the blueberry pancakes first. It comes piping hot, a little puffy like a souffle, with a nice crisp edge (that you would not normally find) that adds a whole other dimension to the pancakes. Dip a slice into the warm butter sauce and you'd know why that long wait was worth it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.153947368; Sentiment_Subjectivity (from 0 to 1): 0.555263158 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Every time I have been to this place there is literally a line out the door for these macaroons! But I understand the hype! They are placed in lovely, elegant looking boxes that you ought to keep for the price that you are going to shell out at this place! The smallest box contains 6 I think that price hovers around $20.  They are worth it though for any special party or gathering.  Pick the ones with the brightest colours! I find myself always eating the chocolate banana and the lemon ones.   A def. visit if you are in the area, shopping the fifth ave scene.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.467857143; Sentiment_Subjectivity (from 0 to 1): 0.605357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: dear cafe cabana...please open a location in boston!   The corn the corn the corn...It is all about the corn here people.  I got my first order...ordered another one...then another one...and then another one....yea thats right 4 orders of grilled corn.....oh yea did i mention i was with 2 other people. anyways yelp brought me here on my last day visiting ny.  I was in the mood for moofungo which they didn't have : ( .   but the 700+ reviews won me over.  This place is a gem.  The restaurant is divided into 2 sides...A take out shop and a sit down restaurant.  When i walked in i thought i had latin fever... ay dios mio....  the girls that work here are gorgeous.  more the sit down part then the take out shop...sorry if i offended anyone.  enough about girls more about food We got the braised pork and rice, a steak style cuban sandwich and fish tacos.  I also wanted some burritos which they only do at the takeout shop. I decided to walk outside and go next door to the takeout shop all for a chicken mole burrito.   it was worth it!! all of it.  Im not a expert of cuban cuisine but i do know good quality food when i eat it. it was fresh and wasn't over seasoned. just a little lime did the trick. The only down side to this was i really wanted fried pork skin and moofungo!!! Next time im in ny...this will be my first meal. ps. does anyone know if they will mail me corn?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.094843178; Sentiment_Subjectivity (from 0 to 1): 0.444642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 almost want to tell you this place is horrible and to stay away so I have an easier time getting reservations on the weekend, but I'm trying not to be selfish. This place is one of my favorite not only on the Upper West Side, but in all of Manhattan.  The food is great to begin with, but the all you can drink sangria in 8 different flavors is the reason this place should not be missed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.028571429; Sentiment_Subjectivity (from 0 to 1): 0.764285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 experience here was the most fun I had all year.  The wine is amazing, and the Caesars salad is to die for.  The pizza is in the top 3 of my favorite all time pizza.  Order half vodka half classic.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.279166667; 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: My favorite gnocchi place in NY ( so far ). Always great food... cute environment if it's warm seat on the patio in the back it will feel like you are in Italy. Really nice.. this is one of the places i come as often as i can!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.464285714; Sentiment_Subjectivity (from 0 to 1): 0.764285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice staff, really attentive waiters, and great food. What's not to love? Their coffee's not great, but otherwise, no real complaints. I got their Salmon Gravlax, which was a few pieces of lox (smoked raw salmon) laid over some capers, topped off with scrambled eggs and some herbed cream cheese. The lox was delicious, and the eggs were buttered well.   A very affordable ($12) nice early meal. The constant refills of coffee also did a great job making my hangover easier to deal with. Oh and I just think this is hilarious, but their menu is on tumblr. Oh Brooklyn, keep staying hipster.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304615385; Sentiment_Subjectivity (from 0 to 1): 0.636324786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for my birthday dinner, but I'll try not to look through the "special occasions" lens. I think the most glaring element for this place is its service. I refuse to buy into "it's Brooklyn" to explain why FOH can barely pass basic steps of service. To wit, wine present was clumsy and awkward. And despite very specific "First course, we'll enjoy..." then "For entree we will have..." the server was likely too green and coursed it all together, so entree seafood salad arriving before first course stuffed dates and mid course fried oyster sammies. Flank steak arrived last, intended as gf's entree. But on to the food, the obvious source of the 4 & 5 stars. It is good but strikes some wrong notes. The deviled eggs' farce is one long hot mustard mess. Bacon-wrapped dates come in a ramekin evoking "America's favorite neighborhood grill."The sangria-marinated flank steak is sweet and savory but is awkwardly paired with a burnt garlic aioli in this mint green color that stopped both of us from repeat tastes. For dessert, a phyllo dough almond cake had a coarse cheese filling and spartan almond sliver holding vigil for flavor. I got a donut from a nearby "specialty" donut shoppe afterwards. That said, the fun vibe and a menu presenting an interesting variety of tapas-heavy items will make me come back, perhaps for afterwork drinks, though not for a multi-course meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.046071429; Sentiment_Subjectivity (from 0 to 1): 0.44890873 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for dinner and the food was excellent.  The dining room and service was impeccable.  I would definitely come back for a special occasion.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.421428571; Sentiment_Subjectivity (from 0 to 1): 0.564285714 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have a lot of friends that like the Smith. I myself think it's just average to good. Nothing ever wowed me here.  I'm coming back here in a few nights because friends suggested it again, but if it was up to me I would go somewhere else.  I mean geeez louise there are a million new places in nyc I'd love to try.    The first time I came here for brunch.  I liked the atmosphere and the food was fine. I would probably rate that a 3.5.  The second time I came I had the steak salad.  I was pretty disappointed.  It just lacked good flavor and the steak was actually kinda gross and there was wayy to much. The salad  just didn't come together.  I make myself steak salad at home all the time and I like my own better. I would give that a 2/5.  We also had onion rings which were just standard. Ok actually the onion rings made me feel like I was in a bowling alley.  random- I know-I dunno why. For dessert we had their version of birthday cake which I also thought was just ok.      I came back again for oysters cause my hubby wanted to go.  They were fine.    I came back for someones birthday and tried the blue cheese potato chips.  They were good, again still can't find anything to rave about this place.  I finally had the kale salad and shrimp grits and those were probably the highpoint of the smith.     One other problem I have with this place is that right now I'm looking at the menu and there are very few light dishes (like, for example I would get the  shrimp again , but the  grits were really oily).  I notice they have swordfish, but swordfish is supposed to be one of the worst fish to eat due to mercury content.  Maybe the Smith just isn't for me, lol.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.137708191; Sentiment_Subjectivity (from 0 to 1): 0.432660344 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 discovered Rattle 'N' Hum thanks to Mary C.[1] and her relentless mission to find a place in NYC that serves Dogfish Head's Bitches Brew. This bold, dark beer, was brewed to commemorate the 40th anniversary of Miles Davis' eponymous album. Just like Miles Davis in this album experiments with electric instruments and improvisation, this beer experiments by fusing an imperial stout with honey beer and Gesho root[2]. Although pitch black, this beer ends up being neither heavy nor thick, surprisingly. Flavor is malty and rich, with lots of chocolate notes. A subtle but slightly sweet and honey character lies underneath the malts. The finish has a low bitterness (coming from the Gesho?), despite the high ABV content (a whopping nine point oh!). A very balanced beer; if I didn't read about it afterwards I would never have guessed that it had not hops. To paraphrase Sam Calagione, its creator, Bitches Brew "is to Budweiser what a bouillabaisse is to fish stock." And I love bouillabaisse! Apart from the amazing selection of beers, both on tap and in bottle, I absolutely loved the gigantic chalkboard that occupies an entire wall, and serves as a beer menu for bottled beers. A rather unusual and unique touch. Service was amazing too. Apart from being on top of everything and knowing a lot about all the different beers on the menu, out waitress also immediately replaced my beer when a member of our party spilled it on me by mistake. She didn't have to do it, and I appreciated that. Why just 3 stars, then? I am not too crazy about the ambiance[3]. Overall the place gives out a fratboy vibe that made me feel a bit out of place. Close proximity to K-town a plus. youtube.com/watch?v=eV4F… ------------------------------------------------ [1] yelp.com/user_details?us… [2] Apparently, in Ethiopia Gesho root is used much like hops. [3] Like the giant screen showing college football.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.166369048; Sentiment_Subjectivity (from 0 to 1): 0.560357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 (spicy pasta dish with crab, etc.), softshell crab, lobster salad were all fantastic. Service was top notch. Recommended wine was fabulous.  Love this place and will be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.36; 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: The Levee is a chill dive bar abounding in cheeseballs and twizzlers. On drunken days, I've eaten more cheeseballs and twizzlers than I'd like to admit. Cheap drinks are easy to come by. I usually get the Lone Star with tequila shot. Keep the Lone Star caps for the puzzles. A considerably large bar with cozy booths available for groups and board games are handy to pass the time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262202381; Sentiment_Subjectivity (from 0 to 1): 0.595238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For an Italian place owned by someone with a big name like Lidia Bastianich, this place is totally unpretentious and very well done. The first thing I noticed when I walked in was the beautiful dining room, spacious and well lit, and then a backroom which was darker and more intimate. The tables for couples were actually desks, which I thought was a nice touch. The second thing that caught my attention was the large wine list they had for $25! What a great deal- so of course we had to order a bottle, as good wine lovers should. We ordered the stuffed cabbage over spaetzel and the pork chop with mashed potatoes and greens. Both were HUGE and we ended up having to take most of both dishes home. Nonetheless, they were delicious and I was happy to eat them the second time around. To begin, they serve you the house ceaser, which was a little overdressed for my taste, but had delicious croutons. I was a very happy camper after this meal. Needless to say I did not make it to dessert! But perhaps one day-; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.358928571; Sentiment_Subjectivity (from 0 to 1): 0.580952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this restauant. From the atmosphere, to the friendly and attentive staff, to the great music and vibe... it is perfection. Great restaurant for a date or to catch up with a friend or just enjoy some really good food. I love the frisee salad lardons, and the stuffing. The pork hock is also amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.563888889; Sentiment_Subjectivity (from 0 to 1): 0.677777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheese shop my ass - this place makes bad ass sandwiches. Seriously. Get the serrano ham with manchego, absolutely amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.144444444; Sentiment_Subjectivity (from 0 to 1): 0.744444444 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to Gyu-Kaku in Hong Kong and also the one in Midtown East. I always like food there. This Sunday we had company family lunch there. Our magic show finished earlier than we thought, so we arrived earlier than our 3pm reservation. We were seated at the bar to wait and enjoyed HH drinks and apps. Our party has 3 adults and 2 kids. So we ordered the set menu for 4. There were so much food and included even one lobster. Everything was as good as expected. I'd love to go back there soon to enjoy more delicious cocktails and food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We made reservations well ahead of time and all 5 of us are trained and or untrained culinarians. We didn't get to take pictures due to the fact that we were so excited about the food. We ordered beet soup, artichoke, kobe beef burger, kimchi bouillabaisse, duck confit, fresh pasta and braised pork belly. Since we were 4 siblings and a girlfriend we were ready to arm wrestle for each bite. The kobe burger and bouillabaisse were so amazing we ordered a second course of both. The atmosphere, the staff, the prices are all amazing. Tip them well they earn every homage you can offer! We are already referring this really freakin good chef and his staff to every one we know who is coming to the city! Although we would love to keep it a secret every success they enjoy will be well deserved.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.305769231; Sentiment_Subjectivity (from 0 to 1): 0.501923077 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Almost made me go postal!! Such thin crust pizza and the best part is that they make it how you want it! I had a nice size (9 inch) thin crust pizza (that was the small and then there is a large which would comfortably feed 2-3 people depending on what else you ordered and how hungry you were) with ricotta and zucchini. Are you kidding with the poor reviews? The crust was perfect and not burnt, the cheese nice and soft and plentiful. And the zucchini was just thin enough. Delish. In fact I freaked out when I thought they didnt deliver to my apt. I will be back. We sat outside- great service and nice staff.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.213909774; Sentiment_Subjectivity (from 0 to 1): 0.643609023 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 falafel in the city. It's simple, no ambiance. Mamoun's is the greatest; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 0.552380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grrat service very friendly.   We had a pet (dog) w us and they didnt have a patio spot. But they let us have the dog tied to the bench outside and we set right next to our pet. Food was great. The brunch was something that we would definitely come back for. Totally recommend!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.196651786; Sentiment_Subjectivity (from 0 to 1): 0.404464286 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came in last night at 3 AM after a comedy show with some hard-hittin eaters...This was my second time here...First time was blown away by Chef Daniel's food...Same goes for this time...Me and my boys each ordered a meatball sub...Spicy pork ball with spicy meat sauce...So much flavor...My boy got the beef balls with the creamy parmesan sauce...Wow so rich and decadent...Finished the night with the peanut butter cookie with chocolate ice cream...Solid night cap...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.14375; Sentiment_Subjectivity (from 0 to 1): 0.254166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved this place. Came here with a large group (8) and service was excellent from beginning to end. The house cocktail (the Mominette) features absinthe and orange bitters, is a solidly unique drink but could perhaps be stronger. Half chicken done to perfection--paired wonderfully with garlic mashed potatoes. Atmosphere makes it a great place to impress a date (or family) in Bushwick.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.42473545; Sentiment_Subjectivity (from 0 to 1): 0.788359788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place! The food was great (especially loved the beet salad and cold curried carrot and coconut soup!), the atmosphere was wonderful and the service was good! I brought my two year old with and they were very accommodating. They have butcher paper on the tables and thick crayons so that was a big hit with the toddler as well! If I lived around the corner from this place I would be coming back all the time. New favorite spot in the west Village and perhaps in all of Manhattan! ;); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325811688; Sentiment_Subjectivity (from 0 to 1): 0.605681818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Joe's tutorial (inspired by the poor confused tourists I dined next to recently): 1. Order your dumplings as soon as you sit down. (both are good, but I prefer the crab). A good dumpling rule of thumb is 1 order per person. 2. To eat dumplings: Use chopsticks to lift a single dumpling into your spoon. Gently bite off just the top of the dumpling (watch out for steam). Slurp the soup out. Add whatever dumpling condiments you want. Eat dumpling. Repeat. Poking a hole into the side of the dumpling with your chopstick and squeezing the soup out into the spoon is not OK, and probably not safe either. You are just asking for burned hands and stained clothing. 3. Order your food! I recommend 1 entree per two people. The menu can be intimidating, but have no fear. Everything is good, from the Shanghai specialties like Lion's Head to the more familiar stuff like General Tso's Chicken. I always order the Shanghai street noodles, because they are both awesome and make great leftovers. Whatever seasonal vegetable they have is usually a solid bet as well. 4. Feel free to order steamed rice, just know they are probably laughing at you. At least that's what a friend told me when I first went there. 5. IT'S CASH ONLY. There is a large sign on the front door announcing this. Don't be the guy who pulls out the Visa at Joe's Shanghai. Come on! 6. 18% gratuity is included in the bill. 7. Go early, or be prepared to wait!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.156860501; Sentiment_Subjectivity (from 0 to 1): 0.527503053 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Man oh man, the Minetta Burger I must say has to be if not head on with a Shake Shack burger (in slightly different brackets of course), after-all, Minetta is a one-star Michelin. I came here last Friday night with my boyfriend for a drink and burger. Ordered the Minetta Burger medium cooked and a Pimm's cup to drink. The bun is softer than it looks, and the meat is just airy and delicious. If I could describe the Minetta Burger in short, it would be French Onion Soup in burger form. The fries that came along with the burger were crunchy on the exterior, soft on the interior.  Pimm's Cup; spot on. Definitely make reservations. We came here around 9:30pm on a Friday night and the host said they were booked until 11:30pm (and they close at 12 midnight). If you happen to just walk in, and if you don't mind the crowd waiting for a table, seats for two at the bar are fairly fast and decent. The host said it would take about 30 minutes for a seat at the bar and it ended up being 5 minutes. And the service was really good. Our food came out quick and our bartender made our drink right in front of us. 5.0 for the food 5.0 for the service 4.0 the crowd and wait 4.5 for the ambiance (i love the classic new york look, but i couldn't really see my burger); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.236796537; Sentiment_Subjectivity (from 0 to 1): 0.446266234 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WOW!!! The combination plate here was so DELICIOUS that there mere thought of it makes me want to have one right now. The meat + rice + veggies + pita + yogurt and spicy sauce were perfect together. The serving size was so huge but I finished all the meat and some rice since I did not want to waste it. Since there were no chairs and tables around, my husband and I decided to walk over to sit on the ruby red steps by the Tkts booth in front of Times Square to enjoy our meal. A wonderful dinner with an awesome view!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.416456981; Sentiment_Subjectivity (from 0 to 1): 0.675974026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ok place that seems a bit overrated. i think the tourist really tend to blow this place up.   overpriced food and drink on a side street in the west village good for a visit but don't believe the hype.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/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: Getting a quick bite from Melt Shop is like getting a quality hug from a friend.  It's reliable and you always feel comforted afterwards. I guess that's the way any good grilled cheese ought to be, but Melt Shop's versions are extra special because you can customize them with types of cheese, fresh baked artisan bread and other ingredients. Of my experiments, my favorite to date has been the Fontina and Goat Cheese with Roasted Wild Mushrooms and Parsley Pesto on Whole Wheat.  I sub out the goat cheese for gruyere and add caramelized onions.  It takes about 5 minutes to make since they prepare everything fresh.  You'll want to make sure you prepare for the weather (e.g., bundle up, bring and umbrella, etc.) since there's no inside waiting area. Melt Shop also features other special items like milkshake of the day, shop tots (tater tots) and homemade tomato soup (to complete your food hug). PARTING THOUGHT: Last time around I noticed a pulled pork special.  I'm definitely trying that next time with caramelized onions and maybe some jalapeno jack cheese!  Who knows, I may find a new favorite!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.230806277; Sentiment_Subjectivity (from 0 to 1): 0.488719336 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: tauqeria, i dream of your tacos. and i'm not kidding. that said - don't waste precious food space ordering anything but tacos. we tried to order a few different things and decided next time we won't make this mistake. tacos ONLY! and at $3 each for a FULL sized tacos (none of this bite-sized business), why would you ever order anything else?! small, cool, divey, pro-LA environment. hostess took our names and told us to go have a drink at the bar next door - she would personally come get us when our table was ready. i love bars that respect their waiting guests. really, the only thing that was disappointing was that their michelada sucked. will stick to just plain beer next time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.040178571; Sentiment_Subjectivity (from 0 to 1): 0.442063492 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my - let me set the stage here - random Saturday afternoon and we opted to go wherever YELP led us. My husband insisted on Mexican, but we were wide open as to the actual location... SO - we mapped it out - and found Barrio Chino. Let's just say we're happy we did. I agree with most of the reviews here - TINY place and super-tiny tacos, so don't think you're going to leave here FULL without ordering some extra guac or boatloads of tasty margaritas. (That's what we did). I got the chicken tacos and YUM. Downright delicious... he ordered the fish tacos and we both indulged in Strawberry/Vanilla Margaritas and a Grapefruit Margarita. Not too shabby if I do say so. The seating arrangements can suck if you're not tucked in the back or sitting at the bar - but you've been warned!! If you don't mind - definitely indulge - this place is tasty and the service was perfect.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.163333333; Sentiment_Subjectivity (from 0 to 1): 0.506666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dipped in for happy hour on a Thursday. A pretty small offering of HH specials but decent nonetheless. We ordered the tuna roll, shrimp tempura (I think), and calamari, and glasses of white and red wine. Pours were a nice size, especially for a special. Staff seemed attentive and constantly walking around. The rest of the menu looked great, including a Ramen dish they seemed to feature. A place I'll plan on stopping by for a full meal sometime.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.267216117; Sentiment_Subjectivity (from 0 to 1): 0.628571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is great, service is fair (not well trained staff); noise level killed dinner; wife and I got tired of yelling at each other so we texted.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.155; Sentiment_Subjectivity (from 0 to 1): 0.545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you came to new york without trying the REAL CHICKEN AND RICE you are MISSING OUT! especially after a long night at the bar/club! There are numerous Halal food stand in new york but this is the authentic one.  There is always a line at this place ! line gets longer the later it gets! i am not sure how late this place open till but my friend said the cart comes out around dinner time and open pretty much through the night for the late crowd.  I stayed at the Sheraton last time i was here so this cart was literally just down the street.  Although the line is soooo long, the wait is sooo worth it! The all time famous CHICKEN and RICE is so cheap in price and so fulfilling! only $6 for a big plate!  There are two different sauce the White sauce and a Spicy red sauce.  Be careful with the HOT sauce because it is HOT. The chicken is cooked to perfection (sorry i am not a lamb person so never tried their lamb! but i heard is equally good).   The chicken is put over the rice, not typical rice but rice cooked with saffron. Other than the chicken and the flavorful rice, it also comes with a little bit of shredded cabbages.  All these are sealed in a silver container and serve to you hot and fresh!!!!  I normally take the food back to the hotel since there's no place to sit outside and is normally chilly.  I would recommend you share the plate with another person because it is a LARGE plate! ~ and you don't want to eat THAT much food before you sleep right?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.008614618; Sentiment_Subjectivity (from 0 to 1): 0.557142106 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Over the past year, I have become an avid fan of Szechuan cuisine and its fiery aromatics.  Prior to the opening of Han Dynasty, Hot Kitchen had served as my go-to destination, leaving this new spot with big shoes to fill.  On the night of our visit, we were greeted by a 15 minute wait time, which was a promising sign of things to come. As usual, we went crazy and ordered a ton of food!  The simple Spicy Crispy Cucumbers were shockingly my favorite dish of the meal.  The crunchy, raw vegetable slices were full of zest.  The Beef and Tripe in Chili Oil was insanely mouth-numbing, and its flavor took a while to dissipate from my mouth.  This was a bit frustrating as it made it hard to experience the true flavors in the subsequent dishes.  The Mapo Tofu with minced pork was good, but not something I would likely order again.  The Dan Dan Noodles, on the other hand, possessed a uniquely buttery texture that was delightful, though I have had spicy versions elsewhere.  We also ordered the Pork Belly Double-Cooked Style, which featured a bold and breath-killing mix of leeks, hot peppers, fermented black beans, and chili oil.   It was absolutely delicious!  The Shrimp in Garlic Sauce was the least spicy dish of the bunch, but we could not get enough of its sweet and sour sauce.  The plate also incorporated fresh vegetables such as bamboo, wood ear mushrooms, and bell peppers.       While I definitely enjoyed Han Dynasty, I felt that some of the dishes had been more satisfying at Hot Kitchen.  I think I am just going to have to "suffer" through a few more meals at each in order to really make a clear verdict, ha!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.11720962; Sentiment_Subjectivity (from 0 to 1): 0.576176263 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty expensive, a bit overrated at times, but modern, sophisticated. a quintessential New York experience even for New Yorkers. I don't come here for the groceries, and I can see why that experience can be frustrating. It can be a madhouse in there. But to feel the hustle and bustle, and the energy of the city, to taste amazing (and expensive), FRESH Italian food, good wine and cheese, people watch, have great conversations...this is what makes Eataly so great. Love the cheese plates and the wine tasting. Gelato is delicious, but the lines are always long for that. Haven't had the pasta yet. Can get great deals on the pastries/breads at the end of the day, which I love!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.310406699; Sentiment_Subjectivity (from 0 to 1): 0.650478469 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down my favorite restaurant in new york.  It's impossible to get a reservation, but if you pop by they will take your number and you can go get a drink at Employees Only and they will call you.  In the past they have given us a glass of wine while we wait  in the elevated area and brought us meatball sliders while we sat on the benches outside.  Good for brunch and for dinner. The meatball sliders are to die for! Great atmosphere - intimate and dimly lit.  Wines are delicious and service is polite and attentive. I love how they give you your check inside an old book.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.235942761; Sentiment_Subjectivity (from 0 to 1): 0.612895623 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best bread (dinnertime) I've ever eaten. My friends and I always come back for them and we're always pestering the waiter for more (sorry!). The portions are large and tasty. I really enjoyed the ribs and corn. The sangrias are also good so try a glass.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.327040816; Sentiment_Subjectivity (from 0 to 1): 0.504081633 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and had the Arepas benedictos (without meat) which was an amazing poached egg, with cilantro hollandaise on a corn cake. The corn cake was SUCH a great idea and the dish was absolutely delish!! LOVED IT :D; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.56875; Sentiment_Subjectivity (from 0 to 1): 0.808333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the better ramens I have had in a restaurant.  I got the Karaka-men.  It says it's spicy but I found it tolerable.  Good ambiance for the younger crowd.  However, expect to wait awhile to be seated.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I gotta say, I had high hopes for this place. To start off with, we made reservations for 8:30. When we got there...apparently they were running behind. We weren't seated for roughly an hour. To be fair, we did give up a table early on in our wait in the hopes of being seated outside. But we gave up on that after another 20 min wait. As for the atmosphere...pretty nice. I can't honestly comment on the music...It couldn't have left a big impression because I can't remember it. But the decor was nice and the lighting was appropriate. As for the food. I am first generation Colombian and this food was actually pretty underwhelming. I was excited to try out a restaurant with all the dishes my parents and grandma used to make for me. But they didn't even come close. The bandeja paisa...a very typical Colombian dish...was heavy on the morcilla and weak on the chorizo. The empanadas...eh...nothing notable about the meat or sauce. AND...I was praying they would have carimanola's!!! An upscale Colombian joint and no carimanolas!!! The chicharon was super fatty. I'm not saying it's not supposed to be fatty...but there are better cuts. These were easily 80-90% fat. Having said all that...the drinks were delicious. The morcilla, although excessively portioned...was actually pretty good. The wait staff was great too. Overall...if you are Colombian and you know what good traditional Colombian food is...don't waste your money.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25516129; Sentiment_Subjectivity (from 0 to 1): 0.608010753 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I feel misled. This place is not very good. I ordered the Bo kho hu tieu (Vietnamese beef noodle stew) and was sorely disappointed - especially from all the great reviews about their bo kho. I received 2 small measly pieces of beef that were dry and extremely chewy. So hard to eat. What happened to the tenderness of bo kho meat? There was extra extra tendon but they were all overcooked. The soup? Flavorless and bland. Noodles? way overcooked. I have yet to come across a restaurant that serves better bo kho than my mom's. My brother ordered rice and mixed meat. This was so bad. Doused in soy sauce. Poor quality. He didn't even finish half of the mixed meats plate.   On top of that, the cashier overcharged our meal and refused to explain to us the details of what she had charged. We insisted that she overcharged and pointed out the prices listed on the menu - in the end, as a last resort, she told us she included gratuity. What? gratuity included for 2 people? $4 gratuity for a $14 meal? What the heck.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.097628205; Sentiment_Subjectivity (from 0 to 1): 0.520160256 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cozy joint with great service and reasonably priced fare. It is one of the few restaurants that serves nicely toasted focaccia bread, on the house. Both the prawn bisque and pan fried cod were above average and is definitely a place that I will re-visit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.13125; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We got a thin crust pizza with red sauce and mushrooms, italian sausages, and roasted red peppers.....but I found NO TASTE whatsoever! I tried really hard to like it, but it was sooo bland.  The sauce had no flavor, and the sausages were not flavorful.  And as soon as I pick up my pizza, all my toppings start sliding off! I wish I tried some place that sold pizza by the slice so that I didn't spend $25 bucks on an entire pizza that I didn't want to eat. One extra star because the man that helped me order was so nice. :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.02; Sentiment_Subjectivity (from 0 to 1): 0.495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: very good! go there every 2 weeks; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.78 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 (but not extraordinary) pizza. But I find it extremely odd that they accept ONLY cash. How weird that a restaurant in 2014 ONLY accepts cash. And, no, it is not a consolation that they have an ATM on-site.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.022222222; Sentiment_Subjectivity (from 0 to 1): 0.808333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is one of the few times that wish that Yelp would have a higher star rating. I would pay extra for the stars if that was available. Its just that good. It was my first time visiting and I have nothing but but complements from my very first step in. Mario, your host for the evening's experience, is real as he welcomes you into your seat. Mario has old world calm and humble charm. With his old school pleasant New York City / Italian accent, you feel like you are a guest in his home. This is how dining should be. I sampled 4 entrees today and they were all beyond my expectations. This is my new favorite restaurant. From the bread and olive spread in the beginning to the very last bite, the food is exquisite. Great place for a date when you want to impress the man you want.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.27655303; Sentiment_Subjectivity (from 0 to 1): 0.451454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can't go wrong with a dish. i've tried almost everything and I can't pick my favorite.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.95 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Step 1. Enter restaurant This is weird. It resembles a Chinese take out place, but where do I order. Why are the two round tables so large, and what is that occasional pounding noise? Step 2. Look up and left and the menu Hmmm, seems pretty cheap, how could this be highly rated? Where are the stereotypical Instagram filtered glamour shots of beef and broccoli? Oh yeah this is a soup place. It's getting cold outside, let me try one. Step 3. Choose your destiny Beef or beef brisket. Oxtail sounds appealing but it's a lot of work for a small reward. I'm feeling like a boss, let's make it rain an extra .50 and opt for the brisket. Step 3b. Go all in Order some dumplings too, I prefer the steamed variety. Step 4. Wait About three minutes. Step 5. It arrives A spoonful of chili sauce helps the medicine go down. Heck, double down and really push it. Maybe some siracha for the gentrified. Stir. Snap. Sip. Forget about the everything else and taste some of the best noodles this side of Houston.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.01815873; Sentiment_Subjectivity (from 0 to 1): 0.41606746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Friendly staff, cozy and interesting interior design.  The coffee was meh but otherwise the food was good stuff.  Good, good stuff.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4625; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for a birthday dinner and the pizza was bangin. We had a range of vegetarians, carnivores, booze happy and non-drinkers -- everyone was happy. The most popular pizza was the 4 cheese topping.  Even the non-vegetarians thought it was delicious. The much hailed arugula and proscuitto pizza was also delicious, but not as amazing as the 4 cheese.  Olive and mushroom pizza was good too. Cheap wine, good meatballs & eggplant parm, mediocre calamari.  I say skip the calamari - but someone inevitably wants to order it.   Definitely go with the LARGER size.  The personal sized pie is not much cheaper and not worth it.  Go big or go home.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.355263158; Sentiment_Subjectivity (from 0 to 1): 0.589473684 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Why 3 stars?  Because older doesn't necessarily mean better.   ---   ---   --- It's pretty cool that Lombardi's was the first pizzeria in the United States.  How did it taste? I really hate what I'm about to type here...it's not something I want to say but.... I've had better pizza at Domino's. ...Ugh, that did not feel good. I just experienced nothing redeeming during my time at Lombardi's.  I'm sorry, but there was just not much separating our food from a good stuffed crust, frozen DiGiorno. Apologies to my Great Grandparents generation.  Maybe the pies were better 100 years ago.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.269010417; Sentiment_Subjectivity (from 0 to 1): 0.622135417 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not only is this restaurant quite expensive, but the food they put out doesn't come close to justifying the price. It's never very fresh, and often is downright cold. The meats are usually chewy and not very flavorful. They do get 1 extra star for their selection, but that's about it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.223626374; Sentiment_Subjectivity (from 0 to 1): 0.533516484 [/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: Sakagura has undoubtedly been my favorite restaurant ever since my buddy took me here for my birthday four years ago. There is an unmistakable allure to this place, from its status as a hidden gem, to its decor and its ambiance, and finally to the fact that you really can't go wrong with any of their food. It is one of those rare places where every experience of mine has been flawless. When I go here for dinner, I usually find that eight of their surprisingly filling tapas-style dishes are enough to serve two people. I always get the same four dishes* and then another four that are relatively new to me. Dessert to top things off is a must. For the non-drinkers, dinner without sake will run two people about $100 in total; those who do drink will probably pay anywhere from $120-150. Since my first visit, I've gone no fewer than ten times, with friends, and lady friends, for first dates (and last). I will conclude by saying this: if you're looking for a place where you can show off your expertise with chopsticks to a date, Sakagura is it; order the fluke carpaccio, which comes with plenty of itty bitty salmon roe. *Here follows the 4-dish core of each of my Sakagura experiences: 1. KAMO ROAST: Slices of Chilled Roasted Duck Wrapped Around Scallion Accented with Basil Sauce; 2. FLUKE CARPACCIO: Thinly Fluke Sashimi Drizzled with Olive Oil Topped with Plum Paste, Salmon Roe, and Shiso Leaf; 3. BUTA KAKUNI: Sakagura's Special Stewed Diced Pork 4. SANSHOKU NASU DENGAKU: Grilled Japanese Eggplants Served with Three Kinds of Miso (Eggyolk, Spinach, and Sweet Red); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.137583628; Sentiment_Subjectivity (from 0 to 1): 0.50080185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cocktails in Greenpoint and Williamsburg. Yes, the food is good. Yes, the place looks good. But holy cow: the best damn cocktails for miles. If you want a beer, you have a 100 options in the area. If you want a well made cocktail, you have one frakin option: this is it. House cocktails are amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.644444444; Sentiment_Subjectivity (from 0 to 1): 0.477777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sliders and sauces!! Get the bacon milkshake,you won't regret it!! They need more space and that's the only reason I didn't give a 5. It's a bit cramped.; Max_Daily_Reviews: 1; 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: Ah, this place is great.  Me and a buddy in NYC walking around to get breakfast on a cold Oct morning and came across a heavenly place call Cafe Habana.  Not only do we get served by two lovely waitresses, but the food rawked.  My buddy being vegetarian had an excellent option to partake in. Not only was the food great, but then another staff came in and it got ridiculous with the ladies hired to serve there.   Obviously, I am going back not only for the food but the view too. Yay, very nice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.245555556; Sentiment_Subjectivity (from 0 to 1): 0.8125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fave spots for fries with side of lemon dill mayo! Yum! Never fails so delicious!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yelp once again comes to the rescue! Came here with a party of 15 yesterday for brunch. My friend made the reservation for our group and said the process was really simple: she emailed them, got an immediate response back, reviewed the personalized menu which they created for us ($25 for ricotta pancakes, goat cheese frittatas, sausage, bacon, home fries) and were just very accommodating the whole way through. They even took it one step further by looking up our sorority's colors and decorating the menu cards. Such a cute and thoughtful gesture! Good service, good food, beautiful views (not just of the Hudson-- the interior design of the space is so rustic and warm, like an Anthro magazine). They did a fine job accommodating our large party-- I'd like to return and see how they do with a smaller group. The other reviews seem to be mixed, but I'm totally willing to return!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.281580688; Sentiment_Subjectivity (from 0 to 1): 0.508928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I'd die and gone to seafood heaven. Great food and service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; 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 sister from Seattle really wanted to get some NY street meat on her visit. Some of her friends recommended some places in Manhattan -- while I'm sure there are some great street meat vendors in Manhattan, one of the best in all five boroughs is right down the street from where I live! Plus it was pouring rain so we also didn't think it was worth making the trek into Manhattan. I was a bit worried that they wouldn't be out because it was raining but there they were. These guys are troopers. Now to the food. These guys give you SO much food. We got two platters and a kebab for 3 people. It was probably double the amount of food that we really needed. We saved the leftovers to bring to lunch the next day. Yes, leftover street meat and it was still good. The falafels are awesome. They make them fresh right there. Not sure if I like them as much as Mamoun's but they're up there. The meat here is pretty good too.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.334316378; Sentiment_Subjectivity (from 0 to 1): 0.464404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First, this isn't the REAL Grimaldi's. They just bought the name. Second, I don't care how long the line is, the proof is when I sit down and eat. First, the place was unkept, dirty dishes and glasses about. They had enough staff to keep up. I've waitered many years back so I know. No excuse for a dirty restaurant. The menus had tape over the alcoholic beverages because they were "in between" getting their liquor license renewed. How cheap can you be? Reprint & laminate the menus. It'll cost a few hundred bucks - max - to have it done professionally. And they had bottles of wine on the premises which they were pouring - obviously for people they knew. That just pissed me off. Then they were out of like, 2 or 3 kinds of soda. Like, WTF?!! If you're a busy place, for heaven's sake, stock your products!! Now we come to the pizza. I'm a connoisseur and have eaten pizza in many places, east coast, west coast, up north, down south & midwest. I've had slices from all over the city. I ordered a meatlover's with green & red peppers. When the pizza came, the first thing I noticed was the burnt basil on top. Do you know what BURNT BASIL tastes like? BURNT PAPER. I don't even own a restaurant and I know that you put the basil on AFTER the pizza comes out of the oven. Basil is crisp, refreshing and slightly sweet. It is an excellent component to a delicious pizza. But it was burnt. Smelled burnt. Tasted burnt. And it gets worse. The sausage bits were tiny and rolled into balls - like the meatballs, not cut in strips - which it should be for purposes of taste & aesthetics. I couldn't tell which was which. The ham was diced up far too small to appreciate. It was like eating pizza with tiny granules of meat. Not pleasant. The vegetables were also so thin and tiny, that I couldn't really enjoy those either. Folks, if you read other people's 4 or (God bless their generous hearts) 5 star ratings, then they've never eaten truly good pizza. I have. A handful of times. Most of which, were in places that don't pull in these kinds of crowds on their celebrity. On top of it all, everything you add on is an additional $1 or $2, so by the time you're done, without and beer or wine, you've got a $30 pizza that tastes like crap. Between the unsanitary conditions for such a famous restaurant, ridiculously absent details - the f'ed up menu and to top it off, a bad pizza - I recommend you pass. Best (2) pizzas I ever had: Woodcliff Lake, NJ and Lyndhurt, NJ. Can't remember the places because they were deliveries. Go figure.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.091448802; Sentiment_Subjectivity (from 0 to 1): 0.530446623 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a fantastic greasy spoon.  They serve breakfast well into the afternoon on the weekends which is great when you're hungover.  The home fries are tasty and best of all, they have turkey bacon!  Always reliable, one of my favorites for delivery.  The place is tiny so delivery or take out is best.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.64; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came here on our last day in NY and got '10 fried and a scallion pancake'... For 3.50$. It was glorious, if a bit messy. Wish I had ordered two scallion pancakes though. Yum.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.1; Sentiment_Subjectivity (from 0 to 1): 0.233333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: YUMMY!!! That is the first thing that comes to mind whenever I think about Katsu-Hama.  My friend introduced me to this place a couple of years ago and it was love at first bite!! I had the full portion of Pork Katsu (which comes with as much rice and sliced cabbage as you can shake a chop-stick at), some hot tea (their green tea is always delicious and fresh) and a Japanese beer. Their Katsu is very light (never overly-greasy) and tender and the breading doesn't fall off when you pick it up. If you are new to eating Katsu, have one of the nice waiters show you which dipping sauce is for what, since it can make a difference in how you actually eat the food (and enjoy it). Their own homemade Katsu sauce is incredible so don't sleep on the sauce! I cannot speak for much else on the menu since that one dish has kept me "coming back for more", all of these years. All I can say is that if you want Katsu- incredible Katsu, then watsu waiting waiting for...go to Katsu-Hama! But...save a bite for me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.380808983; Sentiment_Subjectivity (from 0 to 1): 0.53005772 [/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 hello cuteness. We sat in the garden area in the back and it was adorable. I got the beet/avo/goat cheese sandwich and it was exactly as it sounds....creamy, flavorful and de-freakin-licious. My friend got the lamb sandwich and said it was delightful. :) I got the peach beer and it was really good but more like an alcoholic cider. And beware, it's extremeeeeely sweet. Also of note, our waitress was a doll!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.404166667; Sentiment_Subjectivity (from 0 to 1): 0.611111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Swift. I had been to Ulysses before and heard Swift was run by the same guys. It's the same ambience and lighting inside, and good for a small to medium group of friends.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1125; Sentiment_Subjectivity (from 0 to 1): 0.3125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 space! Love the vibes. The happy hour specials are pretty decent with a special cocktail of the day (in our case, a jalapeno white wine sangria) and wine for only $5/6. We didn't order the food but it looked mouthwateringly good and I really want to return to try the place for dinner. My only complaints are that it gets very loud and the service is kind of slow.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.314557823; Sentiment_Subjectivity (from 0 to 1): 0.709863946 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For a "fast" place, it serves up some great curry. And at a decent price for NYC. Home Run Chicken Katsu is my order. That comes with one chicken cutlet, one hard boiled egg, one shrimp tempura, one sausage, and of course rice & curry. That's $9.50 and it's probably too much food for lunch unless you didn't have breakfast. Service can be slow during the lunch rush but I haven't waited over 15 minutes yet. They accept credit cards but at a $10 minimum.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.053125; Sentiment_Subjectivity (from 0 to 1): 0.632291667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay... The apology was sincere, so I went back the day before the New Year, to see if I would either go back in 2014 or not.   The food is still fantastic. That was never the problem. The attitude has certainly improved. The Chef/Manager came out personally to apologize and talk to us. I am very happy with this gem. Looking forward to the Harlem location!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.305627706; Sentiment_Subjectivity (from 0 to 1): 0.46955267 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very cool ancient bar, really good basic food. Only been for lunch, turkey or angus burgers are great. Only tihng keeping it from 5 stars is they're pretty pissy about splitting checks.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.315; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Historical pizza place with lots of locals and out-of-towner's looking satisfied and having fun.  Primo ingredients and delicious pizza with perfect thin, crispy yet chewy crust.   Check out the back where they bake the pizza in the big red hot fire oven.  It's like a pizza factory and the chefs have it down to a rhythmic science. Don't bother going all the way into Little Italy for a great slice or pie, this place borders East SoHo and has lots of nice little shops and other restaurants without the herds of people...like on Mulberry or Broadway.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.212152778; Sentiment_Subjectivity (from 0 to 1): 0.525868056 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and absolutely loved every experience I had here. Most recently, my friend and I ordered the burrata and it was one of those things where I said to myself - how on earth do I eat cheese that is nowhere near as fresh as this. It just doesn't taste good and then you go to a place like Scarpetta and the cheese is phenomenal. The service was impeccable - they took such good care of us (without hovering).   The fact that a place like this has a veggie only menu just makes me SO happy.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.373076923; Sentiment_Subjectivity (from 0 to 1): 0.576923077 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 that this place is on the second floor, I love that they take no reservations, and I love how small and cozy this place is... Sometimes the service can be extremely slow, which really doesn't help out much with the extremely long lines... I've never had a dish here that blew me away or left me gasping for air, but everything is at least good to very good... Also, nothing is very cheap. You may be unpleasantly surprised when the check arrives at meal's end... I like this place, it's a good spot for bringing friends visiting from out of town... Their soju cocktails are a bit weak compared to other places I've had them (or how I make them at home)... The best thing I've had here is the homemade tofu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2115; Sentiment_Subjectivity (from 0 to 1): 0.482 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 realize that I am probably in the minority but I didn't have a great breakfast here. I came for my wife's birthday and picked a nice spot based on yelp reviews. It is a quaint spot, and the menu is interesting. Our server was excellent throughout the dining experience. I ordered the spinach, bacon, egg, cheese in a skillet. On paper it looked great. It's execution however was less than stellar. It was prepared as a gloppy mess that was clearly undercooked. Either that it was designed to be a dipping dish. It would have been much better if it were cooked through. We also had the bacon, egg, biscuit. This was just ok, and didn't have a lot of flavor. A bit of a disappointment as well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.342361111; Sentiment_Subjectivity (from 0 to 1): 0.522916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The first thing you must order is the soup dumplings. Absolutely must! Prices are definitely affordable! Service is good & quick. Friendly people, but not that good with English. Make sure you point out what you so they can get the order right the first time. Very spacious. The only table that I see is no use is the first one right in the middle of the restaurant. Not a good seating place for anyone.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.237044818; Sentiment_Subjectivity (from 0 to 1): 0.497665733 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 THAI IN NYC! No contest. When I used to live in Woodside, I came to this restaurant an insane amount of times to fulfill my Thai cravings. Even after moving to Manhattan, I find myself on the 7 train in a complete daze just to have a taste of that spicy soft shell crab. You must try their pad see ew, pad thai, green curry, and soft shell crab! All their dishes are delicious. Must order a thai iced tea - so creamy and good! CASH ONLY!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.213636364; Sentiment_Subjectivity (from 0 to 1): 0.58 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: UVA is a great spot for a date or for a night out with friends.  The wine list is extensive and the food is delicious.  It has outside seating as well as seating in the back of the restaurant in this little garden- like area.  It's a very quaint restaurant and it's not terribly pricey.  The staff is knowledgeable and friendly as well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.298611111; Sentiment_Subjectivity (from 0 to 1): 0.492592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here last weekend on a friday night after work stopped in just for a few drinks and a meal and ended up staying till almost closing time. The drinks were reasonably priced and the staff was friendly and service was good. I stopped downstairs and looked at the party room its very big and would be a nice place for a party or event if you need a place that offers great ambiance and service. I will definately be visting again and might even plan a party or two here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.286111111; Sentiment_Subjectivity (from 0 to 1): 0.416296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 everyone says, this place is very cozy, small and adorable! We got the spinach dip and it was REALLY good! I also ordered a panini, which was pretty OK but nothing spectacular like the dip. I ordered a Lambrusco and it was perfect. Chilled, bubbly, sweet red wine! It was also POURING rain so we waited it out while inside. They were very nice and didn't bother us too much, even though there was a bunch of people that were waiting to come in. They seemed very low key and friendly. They aren't snobby at all, and very accommodating. My friend had a big duffel bag with her so they offered to take it downstairs and brought it up when we were leaving.  I didn't really have too much of anything else, but I definitely want to come back for more!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.285; Sentiment_Subjectivity (from 0 to 1): 0.541590909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: we came here for breakfast during a recent trip, and it was excellent. My boyfriend wanted to go back everyday! We got the polenta waffles and hazelnut french toast, as well as the pastry sampler. The olive oil coffee cake is SOOOO good- a must try. The hazelnut french toast is also pretty amazing. Everything was pretty tasty though. And the decor was nice as well- an excellent breakfast/brunch type place. Next time I'm in town, I'm sure I'll be back, but in the meantime, can we get one in LA??; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.31; Sentiment_Subjectivity (from 0 to 1): 0.549259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thing that stood out to me the most was the decor of the of the place--if you were to come in without any prior knowledge of the place, you would think it is a European inspired restaurant. "Maharlika" literally means royalty in tagalog. It is a fitting name since the restaurant really does a good job in presenting what is usually a normal, mundane Filipino food into something more exotic. I think this a good thing since I feel like Filipino food is often overlooked. The food is really good. If it is your first time here try the Sisig--its really good and flavorful. It can get really crowded for dinner so make sure to reserve a table ahead of time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.370833333; Sentiment_Subjectivity (from 0 to 1): 0.458680556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious! I followed the recommendation of fellow yelpers and got the split plate. Do it! And to echo the other common recommendation, use extreme caution with the red sauce :) Best late night eats in NYC!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.196875; Sentiment_Subjectivity (from 0 to 1): 0.596875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Before Sanfords got its makeover, the food was pretty hit or miss.  I ate there maybe 7 times and finally gave up on the place when  the "misses" outnumbered the "hits" After the makeover I got really excited, the place looked great and was packed to the gills everytime I walked past it. So my BF and I decided to give it another try. The first expierience wasn't so bad, we went during brunch and ordered the pre fix menu. Although afterwards we regretted it due to the fact that if you do the math, it's only a good deal if you get the booze. Both our meals were good and the service was pretty good. Second visit.. Food was great, I had the BBQ chicken with Mozzorella sandwich and sweet potatoe fries. Third visit, not so great... We get there and they're packed. The only table left is right in front of the door and it's like 20 degrees out. There's no seperate entry way that most places install during the winter to keep the cold out when people enter (they have since added one) so it's bitter cold everytime the door opens. We ask the Hostess if we can wait for a table away from the door, she says sure, so we  wait, there's no place really to wait since the bar is full, so we end up standing up front next to the Hostess station/door.  While were waiting another couple walks in and they also tell the hostess they don't want to sit by the door. As this is happening space for two opens up a the bar.  The hostess aks if they'd like to eat at the bar and of course they say "yes" and get sat. So at this point I am slightly annoyed because had she asked us we would've gladly eaten at the bar, but I give her the benefit of the doubt and say nothing since we didn't  specify we'd sit at the bar if space opened. Two more tables walk in about 15 mins behind us and also have to wait for a table. Two booths finally open, one in the back of the place and the other booth was directly next to the table by the door (basically no better then the table we rejected). So what does she do? She sits us by the door... I try to ask her if we can move to the back booth but she ignores me and sits the other people at the back booth. By now I am  pretty livid but it's freezing outside, were starving ,and it's snowing, so we stay. In the end we ended up waiting about 25 mins and then got up and left .  We left because not only were we freezing our butts off everytime the door opened, but we were also obviousely forgotten about (you'd think they'd at least remember the people who have waited the longest). The server never came (we didn't even get water from the busser), and we noticed the two tables sat after us getting their orders taken. So you would think that would scare me away for life, well it didn't. About 5 months later my boyfriend and I (frustrated at the lack of good 24 hr Diners within walking distance from our house),got desperate and decided to try the place again. ... BIG MISTAKE.... The food was inedible and I am not exagerrating. I went through 3 napkins blotting the grease off of my sweet potato fries, which ended up grossing me out so much I could only eat 3.  The panini I had was no better. The chicken was cold in the middle and the cheese wasn't even lukewarn let alone melted. So needless to say, it's more "miss" than "hit"even after their makeover.. I won't be back, that's for sure!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.056417411; Sentiment_Subjectivity (from 0 to 1): 0.531070188 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 portions/price and tasty chicken - what's not to like? The quarter chicken comes with fries & salad or white rice & beans all for $6.50! Chicken was grilled tender - really tasty and the homemade green sauce it came with was delicious. I also ordered the fried sweet plantains as a side and for $3 they give you a big portion. It was ok - dry and not as sweet - wasn't really what I expected and I would skip this next time. Take out was friendly and quick. It took maybe all of 5-8 minutes for my food to come out - ready to go. They have a great menu with options for ceviche and fried seafood that I'll have to be back try. All the entrees are priced well with most ranging between $12-18.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.156439394; Sentiment_Subjectivity (from 0 to 1): 0.497727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 authentic Italian pizza? In Brooklyn? In an intimate setting? Sottocasa is your place for Italian pizza. The reason why I say Italian style because this place doesn't serve slices. This is a brick oven pizza restaurant using the freshest ingredients. My college son is home for the holidays and wants pizza. Not just any pizza but pizza made with fresh mozzarella. Authentic Neapolitan pizza. I have Sottocasa bookmarked, lets see how it plays out. The 5 of us walk into a very charming and intimate restaurant. We're seating close to the door at the large country French table. We ordered a Focaccia and a salad topped with ricotta to get the party started. Everyone is saying what their pizza choices should be, I don't hear what they're saying. I'm here on a mission! I ordered "The Laura" made with fresh tomatoes, mozzarella, mascarpone, speck and rosemary. Oh baby! The pizza is everything they say it is, the Speck (Italian meat) cooked down and tasted almost like bacon, very very decadent. Now our second choice was "The Valdostana" which is tomatoes,mozzarella, fontina, prosciutto di parma and topped with sage. What was brought to our table was not this pizza. Maybe it was a mixture, it's dark inside. what was brought to me was "The Napoli" I didn't taste any prosciutto but I did taste anchovies along with tomatoes and mozzarella. We were in a rush, my teenager wanted to go to Film Biz Recycling before they closed at 7pm. We left and loved what we ate. Next time we'll get it all straight. This is my last review for 2014. Happy New Year!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.200771746; Sentiment_Subjectivity (from 0 to 1): 0.351102786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Offensively overpriced.  I feel like no one is seriously tasting their dishes with a critical palate.  Their combinations of flavors at times were simply foul.  Two good dishes out of the six we ordered.  The other four were horrid.  Almond snacks consisting of less than 12 almonds.  What?  Lentil dish was bland and boring.  The cauliflower dish is an offense to anyone who has every cooked, professional or amateur.  Those flavors do not belong together in that way.  And why is it served cold and covered with oil?  No one could honestly taste that and think that should be served to people for money.  Not anyone with ethics, pride, or good taste.  I don't mind spending over $100 at a small dish place but show pride in your work.  I cook better at home. Avoid this place at all cost.  Super disappointing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.032843137; Sentiment_Subjectivity (from 0 to 1): 0.577380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I had with my visit to NYC! There was more mozzarella on this pizza then anywhere else. Waited in line for about 35 minutes and it was totally worth it. Ordered a large for me and my gf and ate or leftovers later in the day while touring the city! Very good cold pizza! I was come to Grimaldi's every time in visit NYC!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.283826531; Sentiment_Subjectivity (from 0 to 1): 0.444081633 [/INST] Spam</s>