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: Very impressed with  their backyard outdoor seating. Super relaxing and cozy with the pillows and umbrellas. Plus you don't get to constantly smell the kitchen inside. Not a huge fan of their Thai ice tea. Came in good portion but a little too "chemically" sugary for my taste. Their appetizers are really what stands out. The fresh thai summer rolls tasted sooo refreshing with the cucumber, shrimp in tamarind sauce.  Great presentation as well. Loved the calamari dish!! Never had them come out  so crispy without having being oily. You could basically grab one without needing to wipe your hands. The plum sauce it came with  was the perfect. accoutrement. We ordered a small for 2 and we were starting to feel full by the end of it. For entrees, I ventured out of my comfort zone and ordered the Kang Panang Gaibeef which included sliced beef with peppers crushed kaffier leaves in panang sauce.  My friend had the Kang Kyo Whan Gai with sliced chicken, eggplants, zuchini  in the green curry sauce, Both sauces were more watery than what we were used to but still had taste. Found the Panang to be more flavorful than Green curry. In both dishes, the meats were overcooked and lacked flavor (my beef slices were slightly tough and her chicken slices were white and blend) . Some of the vegetables were kinda old as well (carrots and eggplant were slightly browning). Overall, the entrees we had weren't that great (to say the least), but then again they weren't indigestible. I will still eat my leftover for lunch tomorrow. I think they kinda win with the seasoning on their sauces..cause it made me  forget about the other ingredients in the dish. Or it could be  I'm just a sucker for thai sauces...Haha! I looooove their portion sizes and their price. You can honestly be full and satisfied from the apps, share an  entree and still have enough to take home. For 2 apps, 2 entrees and 3 thai iced teas, our total came out to $38 Service was not great.  Our server lack any opinion and seemed more preoccupied with us getting our orders in quick. I can see why people complain of lack of service when this place gets packed. 4 stars for decor 3 for food 2 for service Still look foward to coming back for more lunches. Oh and like everyone says, CASH ONLY; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.15752584; Sentiment_Subjectivity (from 0 to 1): 0.549418605 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Make a reservation! The line is long! When I got there at 11am on a Saturday (which is when it opened), the place is pretty much filled. Service was great! Our waiter was attentive and not pushy. Coffee was delicious. Also had the Classics Egg Benedict and Mushroom omelette. Will come back for more to try the Jane and Johnny Benedict!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4515625; Sentiment_Subjectivity (from 0 to 1): 0.68125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the best Sicilian I have ever had!; Max_Daily_Reviews: 3; 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: Dear Yelpers and New Yorkers, Thank you for introducing me to this random yet outrageously popular chicken and rice food cart.  This food cart is amazing, and considering the price and how much you get, this is a great deal to boot.  My bf and I waited the line with other hungry chicken and rice mongers and now I understand why there are over 800 reviews of this cart! Thanks again, Tracy; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.056136364; Sentiment_Subjectivity (from 0 to 1): 0.617954545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After a night of drinking, few things make my face light up like a suggestion by someone in the group to go to Pommes Frites. Expertly crafted fries and a bajillion sauces for $1 each? I don't know how you stay in business, Pommes, but I love you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Veggie-friendly, vegan-friendly - This is STILL my favorite Mexican restaurant in the city - and I LOVE Mexican food. Excellent vegetarian options, including a variety of proteins beyond the standard bean burrito, soy cheese and tofu sour cream. Great options for meat eaters too, including beef and chicken in a variety of styles. This place has it all, from tacos (2 per order, around $5), burritos (good size around $8.50), taco salads (with excellent shell!), wraps for those who aren't huge on the standard Mexican, and quesadillas. They also have the standard sides: beans and rice, chips and salsa (great homemade salsa), guacamole (very good), and so on. My favorite is the organic seitan burrito ($9.15). The portobello mushroom burrito is good as well. I've had the tacos and the taco salad, which was great. The beans and rice are standard, and the guacamole, although nearing $5 in price, is great as well. This place is small - counter seats at the window and wall seat maybe 6 people, but anytime there are 4 people waiting for their orders, the place is crowded. This is a perfect take-out place (or get delivery), not a good spot for groups. The service at the register is friendly and fast - I always get my food within 5 minutes, freshly made. There are chips and salsa if you dine in (or while you're waiting those short five minutes to go), and salsa in small containers for you to grab as well. The pico-style salsa is the best. The hot salsa is cayanne based and the green is spicy but not my favorite. I highly recommend this place for the food, above and beyond any other Mexican place I've tried in NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.296578947; Sentiment_Subjectivity (from 0 to 1): 0.507763158 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As I take a sip of my haterade I begin to type.  I knew coming in this place was a dirty dive, that never adds to the "charm" for me but also doesn't bother me.  What surprised me is the shit show that is their ordering process.  No organized line, just a jumbled mess of people eating and waiting.  There was just two of us so ordering a pie was not an option.  Well if your ordering slices you can bend on over and let the anal raping begin. Although I can respect the ol man behind the counter for making pizzas for all these years, I did not find watching him at work to be the magical experience everyone else describes.  I was hungry and I found it painstakingly irritating.  He works at a snails pace.  Half the pies come out burnt.  The toppings are not evenly distributed and the pies are shaped like jigsaw puzzles.  I guess all details that add to the "character" of the pizza for all you retarts.   With just a few people in line, the wait for our $5 fuckin slices was close to an hour.  This wait time is self imposed and selfish.  Ill pluck out five senior citizens from a local nursing home, arm them with some fresh basil and scissors and let's get moving. Now even after all this, once I sat down with my slice I was excited.  Took my first bite and my honest reaction was to laugh and say "that's it". The slice was small.  That's what happen when you make amoeba shaped pies, there's no consistency.  The fresh grated cheese had no bite.  The one piece of fresh basil was lost in the puddle of pathmark olive oil.  The slice was bland, flavorless and left me angry.  Even the hot pepper oil couldn't push this piece of cardboard past average.  I am totally puzzled by the praise for this place but to each his own.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.025478927; Sentiment_Subjectivity (from 0 to 1): 0.579214559 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would never eat here and probably never actually buy any of the marketplace items, but Eataly is definitely a don't-miss spot. It's almost as if the place is an art gallery or museum -- I was scared to so much as pick up the pesto to see the ingredients list on the back. It's noisy and crowded, so probably not a good place to take your grandparents. It's also HUGE. Likely the biggest indoor space I've been in in NYC that wasn't a music hall or museum. But the selection of imported stuff and goods made within the place is downright inspiring. The beer/wine and cookbook section was my favorite because it was so unexpected. Sure, I knew the oddly shaped pasta and cheeses would be there, but the imported vino (yes, it was actually imported, I checked) was the most unique I've seen. Of course, I couldn't take the store entirely seriously. Anyone who's ever lived in Italy would probably walk in and think it was an overpriced, gaudy Walmart for guidos. But it's a good time, I promise.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.172058824; Sentiment_Subjectivity (from 0 to 1): 0.60620915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 things first: be prepared to wait. if you go in knowing there will be a wait, it'll make your experience that much better. also, if they call you - ANSWER it or they will give your table away, and you will need to wait. some more. so this pizza for sure is in my top 5, maybe even top 3 list of NY pizza joints. BUT that's not why i think you should come here. i mean waiting for pizza is like a thing here right? (roberta's, paulie gee, luzzo's etc) YOU NEED TO ORDER THE CALZONE. Immediately. It's basically a rolled up pizza and you get a side of sauce. I literally melted in my seat, mouth orgasm style. The joint is cash only but they soften the blow by having it be BYOB! So net net, bring some wine, go to a bar first, put your name in ASAP and eat the calzone!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.252747253; Sentiment_Subjectivity (from 0 to 1): 0.470161783 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with a friend the other day and ordered the Brother's Grimm. I wasn't expecting much, because come on, it's a wrap. However, when i took the bite out of my Brother's Grimm, I realized that it is not just a wrap; it was a delicious and flavorful wrap! The chicken was very well seasoned, and it definitely made the wrap. Also, I was pleasantly surprised at how amazing the raisins tasted in the wrap. I would definitely return, but probably not go out of my way to get there.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small brunch menu = fresh = true at Olivier's Maybe my french toast tasted better because the bartender/waiter and hostess actually spoke french, but maybe it was because of the fresh (for-real fresh) fruit and mound of high-end whipped cream. When we got the check, we where overbilled on the drinks, when we brought it to the bartenders attention, he was super-apologetic, and ended up throwing in my orange juice for free because of it. Yum yum!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.395 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't normally take to Yelp to write a review unless I'm utterly blown away by a place or utterly disappointed, and while I would have given the restaurant a 4 based on their food, the way our party of 11 was handled after an error from our waitress made the restaurant lose some of its charm. We went to Uva on 11/23/13 for a friends party. We were a group of 11. We waited for a little for a table even though there was a reservation and our party was all on time, but that's no matter, It is to be expected in NYC restaurants and our wait was not terribly long. We were seated in the downstairs area which was nice and cozy and away from the crowd. When the waitress came, we asked upfront about having separate tabs. Restaurants in NYC that cannot accommodate separate tabs annoy me- Why? Because I have been both a waitress and a bartender and I know for damn sure on POS systems checks can indeed be split- and quite easily might I add. So when a restaurant is reluctant to- I know it's because they don't WANT to, not because they CAN'T. Our waitress however, agreed to split our tab because we were a group of couples. The drinks were flowing- no challenge there, but even a bread basket took awfully long to make its way to our table. The bread literally came right before the appetizers. I had the Polenta and sampled other appetizers. I loved the calamari and the shrimp skewers. In between appetizers and dinner however- the wait was long. Our reservation was for 8:30, we were seated around a quarter to/ 9-ish- we did not eat dinner until well after 10. Still- we were reasonable. But then came the check. The waitress brought us one whole check together. When a friend (the person whose birthday we were celebrating)  asked what happened to the separate checks the waitress said "I couldn't keep track of what everyone ordered." That annoyed me because if you agreed to separate our checks you should have kept track- is it that difficult to write on separate sheets of paper old school style? That's another thing I know about POS systems- you can open separate bills for seats that literally mimic the table and you can keep track of what each customer eats and drinks. It's not that difficult- and its part of what you get tipped for. Moving on- we agree to do an even split- we divided the check 10 ways (minus the bday girl), some people paid with cash, some with credit card. After running our tabs through, some members of our party left and the waitress tells us "I'm sorry I made a mistake that's not your tab you just paid someone else's bill- yours is $150 higher." WONDERFUL. Since 4 people already left. Needless to say, the birthday girl became irate and told them it was their error and we had already paid and we were not paying the new tab. Obviously members of our party disagreed with her and we tried to calm her down and rectify the mistake. The manager who came to fix the dilemma started saying things like "what do you mean you aren't paying it. You have to" when my friend pointed out that members of our party were gone she said "only 4 people left". That's nice lady- but we had already split the check so the extra charge fell on the people who remained. To make matters worse, being compliant, we agreed to have the restaurant reverse the previous charge and recharge the higher bill. Except they did not. I was charged twice. They never credited back the money from the incorrect charge. A dinner that was $120 cost my husband and I $240. I had to call my bank the next day and have them reverse the pending charge but I still have to call the restaurant and have them fix it on their end. And all because the waitress could not figure out how to keep track of peoples tabs. I worked for many years in the hospitality industry. The customer is never wrong. I have dealt with snobby, nasty people who were downright wrong and marveled at the service my managers provided. "Sorry for our error- here's a round of drinks on us", "or you know what, we will take that off the check." It was the waitresses mistake- they should have done something to accommodate us after their error. Something to reverse the bad taste their service left in our mouth. We live in 2013- people go out in groups...people pay with credit cards...your registers are touch screens...figure out how to split a damn check already. Also- figure out how to reverse a bad charge. I did it all the time and I did it immediately when I bartended. Takes two seconds. I also rectified any errors I ever made with a smile on my face, an apology, and an incentive to make the customer return despite my guffaw- we received neither of the three at Uva.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.031119395; Sentiment_Subjectivity (from 0 to 1): 0.564145757 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretty expensive but it was honestly the best meal I've ever had in my life.  I got the porkchops with brussel sprouts and the way it was seasoned and the sauce was a really interesting but an amazing combination of flavors.  My boyfriend had a salad (so amazing, I didn't know salads could taste that good) and beer battered pears.  I literally started saying "oh my god" in a way my friends thought there was something wrong; I was just so amazed at the intense amount of flavor.   I know I've used the words amazing a lot in this review, but that's what it was.  Also, the flour-less chocolate cake is to die for. Amazing. Amazing. Amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.406666667; Sentiment_Subjectivity (from 0 to 1): 0.77 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Ward III the other night with a couple of friends and i must say, upon our entrance I was pleasantly intrigue by the dark but, unpretentiously classy "basement bar" type of environment. We were the first ones there, as it was kind of early (I think the bar staff  was still setting up). We were instantly greeted by a cool tattoo laden bartender and ordered a round of drinks. I was getting over a slight cough, so i asked if they could prepare me a hot cocktail with Laird apple brandy and peppermint tea for my still fragile throat. My order wasn't on the menu, but without hesitation was made to perfection.  I had two. I definitely would recommend to anyone who is looking for a great service and cocktails in mind for a low key type of night. We didn't eat during our stay, but I couldn't help but notice the delicious aroma streaming from our neighbor's plate. yum! next time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.186403509; Sentiment_Subjectivity (from 0 to 1): 0.576754386 [/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: Considering that I'm a Crown Heights local (and trust me Crown Heights locals still consider Washington Ave. part of Crown Heights and I'll be damned if any broker can convince me that for a 2-3 block stretch between Crown Heights and Park Slope lies a mystical, magical  gem known as "Prospect" Heights.  Get off it.)  Anyway...considering that I'm a Crown Heights local I was surprised to never have been to this place in all my years here.  My mother actually introduced me to the place last year.  As everyone has said the owner is really nice.  The orange slices and cookies are great.  The ambience is totally funky with the vintagey vibe and the floral disguise outside (you wouldn't even know there was a diner inside).  The Lemon Ricotta pancakes are fantastic.  As a matter of fact I recommend any style of pancake for the simple fact that they serve it with 3 different flavors of butter.  Yum.  Yes, the owner closes very early and they are closed on Sundays.  No complaints here....just saying...you should make a note of it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.162; Sentiment_Subjectivity (from 0 to 1): 0.464253968 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Certainly among the best choices in Chelsea, The; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.607142857; Sentiment_Subjectivity (from 0 to 1): 0.435714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally got around to review Carmines.  We were there in late October, right after the hurricane.  Wanted to try the "new" 2nd Ave. Deli, but the lights were out in lower Manhattan. Even though Times Square was bustling we decided to see how long the wait would be at Carmine's.  Wonder of wonders, even though the place was jammed we were seated in the back right away. The service was not as terrible as previously mentioned.  Maybe the hardships that were evident in NYC made everyone a little nicer than usual which included our waiter. Forgot what we ordered, but it would have been better if we were a group of 3 or 4 instead of 2.  Lots and lots of food, but it was good down home Italian-American that any Italian Mama would be proud of.   Thanks New York City and Carmine's.  You showed a brave face in a time of adversity.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.085656074; Sentiment_Subjectivity (from 0 to 1): 0.469821593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service was good and attentive. Maybe too attentive when asked after taking my first bite, "How was your first Bites". A minor glitch, The appetisers were fresh and tasty. The entree , Snapper filet in a broth was excellent.. Deserts indulgent. Overall good quality food.Well done.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.395; Sentiment_Subjectivity (from 0 to 1): 0.536666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 not 5 stars... 5 Stars goes to Vetri's in Philadelphia.  Everything is judged against Vetri's. The service was great.  The food was excellent.  A few things hold it back from 5 stars from me.  1)  The atmosphere.  It was just a big room and didn't really offer anything more than that.  Seems to be set up for business dinners vs. romantic, intimate or just a personal dinner.   2)  the food was excellent, but I didn't leave craving the next time I would go back.   I would recommend for anyone looking to impress their clients or business colleagues.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.269230769; Sentiment_Subjectivity (from 0 to 1): 0.388461538 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 go here often with family and friends. Food is very tasty. I love that they do customer appreciation once a year. I miss Jesse, a former manager so I don't come as much as I used to. The reason I'm reviewing today is because I found out how classy this place is in treating their customers. I came in tired, after work to get two pies for dinner. The computer was down, I waited patiently for 30 minutes to pay, went to get cash out but the ATM was down. So the manger comes and I'm told I get a discount. Shortly after, owner comes out, and asks me to come back tomorrow to pay. You guys are awesome, I'm remaining a loyal customer and will see you tomorrow to pay for my dinner!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.14212963; Sentiment_Subjectivity (from 0 to 1): 0.450925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard so much about this place from friends, and with the amount of fame this place has, I was a bit disappointed in the experience. The hostess, bartender, and waitress were all extremely nice and courteous. The wait was over a hour, and we killed some time by eating cupcakes nearby and also getting drinks at the bar. We eventually got sat upstairs in a nook, which was cute and comfortable. We shared two plates and two entrees. The two plates were the prosciutto & ricotta tart and sheep's milk ricotta gnudi. The tart was good though not particularly memorable. The gnudi plate had cheesy balls that tasted heavenly. This was our favorite dish of the night. The two entrees were the skate and the pork belly. The pork belly was crispy so that was an interesting textural spin on the dish, but I love pork belly and so I expected a lot from it, and I've had better. The skate was cooked very well, but it's also not the best I have had. The sauce of the skate dish had some confusing flavors. The food was good, but like I said I expected more from the fame and the price. For me, Spotted Pig didn't live up to the hype.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.242561983; Sentiment_Subjectivity (from 0 to 1): 0.606818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: umai!!! panke-ki tabemasita. funnwari siteite oishikattuta.; 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: This place is amazing! I went for dinner with a friend and we are a lot of delicious food and their wine list is superb! Service was also outstanding with our waitress being attentive without being overbearing. One of my favorite Italian restaurants in Manhattan. The food is just out of this world. I am always impressed and never disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.613888889; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love love love this place. All organic, perfectly seasoned BBQ and side dishes. You can also buy meats and sausages to take home to cook. BYOB as well, so you save super lots of money though the prices are already much much more affordable than other all organic restaurants. Pork belly, burnt ends and brisket are my favorites :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.369791667; Sentiment_Subjectivity (from 0 to 1): 0.573958333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Open 24 hours. In Chelsea near a few subway stops. Attentive super friendly staff who brought over shots of their daily special frozen margarita when we sat down (didn't hurt that I was with the Dancewicz brothers - the cutest gay boys in NYC.) 5 star Bloody Mary served with celery, olives and lemon. Hellz yes. Lots of flavor, made with great vodka, clean and bight flavors. Spicy. Truffle Parmesan Fries... the name says it better than I ever could. Sliders re-imagined as mini lobster rolls on brioche with house made chips were very good, but not the best lobster roll I've ever had. Too much stuff. Salmon with basil mashed potatoes. Mark asked if he could get this with garlic mashed instead, but our server persuaded him to stick with the basil. She was so right. Something about that combination was just surprisingly delicious. Overall - much more enjoyable that I'd expected. My stereotype of all look and no substance too cute modern Chelsea standbys like Cafeteria was fully kicked in the tuckus with this dining experience. I'm planning on going back, definitely.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277369195; Sentiment_Subjectivity (from 0 to 1): 0.499112287 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a birthday brunch with a friend. Be warned that they don't take reservations for Sunday brunch but the wait wasn't too long. This is a tiny place so the turnover is quite fast. That said, if you're looking for a place to nurse a few mimosas for two hours, this isn't the place for you. The brunch menu is pretty basic, but for 12.95, you get a decent amount of choices. We had the Eggs Florentine and the Poached Eggs with Salmon Gravlax. Their hollandaise sauce is... in a word...delicious. The side of crispy fries was a yummy bonus. Also, every brunch order comes with a complimentary sangria, coffee, or mimosa too! What could be better! I would come back again, and would definitely like to try their dinner menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.124242424; Sentiment_Subjectivity (from 0 to 1): 0.44469697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for brunch after reading positive reviews, and it was just ok. The apps were the best part of the meal, by far, with the scallops being pleasantly light, and tasty.  The calamari was also quite good. Their mimosas were almost entirely OJ, and at  $14 a piece was beyond a bummer. The entrees we had were not great.  I had a spinach goat cheese omelet, which was cold, rubbery, and strange.  My friend had the scrambled eggs which were very runny.  However our 3rd friend had a turkey sandwich which was really good. OH we also shared the maple bacon biscuits, which were tasty, but at $10 for 2 biscuits, it's also not really worth it. Overall there are some decent items on the menu, but they were overpriced for the portions.  Service was also nice, but kind of slow, and they'd did little things like offer more bread then forget to bring it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.190782828; Sentiment_Subjectivity (from 0 to 1): 0.530339105 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 by for a steak burrito , there was no line, we were hungry. the burrito was big, the steak was juicy (it wasnt dry). we had it with pinto bean... next time, we'll need to order the guac.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.022222222; 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: Great food .. Great ambiance ... Upbeat and fun to get together with a group in.  Always busy ... Great strong drinks .. A little pricey ... But hey... At least you'll be satisfied when you leave :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.374583333; Sentiment_Subjectivity (from 0 to 1): 0.638333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: went on this dumpling crawl yesterday and this was the first place we started at and i must say it was the best place out of 7 we hit.  the chives and pork dumplings were the best of all the places we went.  i will be going back to this sort of hidden gem but i see the masses has found out about this place.  the line was out the door, onto the sidewalk and passed the next door's store front.   the second thing best about this place other than the food was the price.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.328703704; Sentiment_Subjectivity (from 0 to 1): 0.215740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 finally got to check out this place after living in NY for almost three years! We went for brunch one weekend since we were dying to try the ube waffles.  The place is extremely tight, especially if you have a baby stroller! But everyone was really accommodating and super nice and helped us find a place where we can put the stroller comfortably. We had the lumpia appetizer to start. Nothing to report, standard lumpia to me.  My bf got the tocilog. It was really really good. Super tender tocino (cured pork) and it wasn't too sweet. I had the Dasilog which was the fish version of the breakfast. The fish was a bit  small but crunchy and savory. Dipped it in vinegar with hot chiles, oh my god so good!! They were nice enough to let us order just the waffles without the fried chicken so we can try them. A really nice and refreshing take on waffles! The ube flavor come through nicely, it was soft and fluffy and I love the purple color. It was served with this amazing guava syrup. We decided to get dessert. We tried the bibingka topped with salted egg and the leche flan. The flan was meh. My mother makes a nice creamy version that you could die for. Theirs is kind of hard and not really creamy. It was disappointing. The bibingka was great. Just like how I remember it. The bread part was soft, fluffy and steaming hot. The salted eggs on top gives it a nice balance. Overall a great experience and I would love to try their dinner menu to taste the more local Filipino dishes they have. They are a bit pricey but I guess it's an americanized, fancy version of Filipino food. The service is A plus plus. The best host and server. He was really attentive and personable and really helpful. Their staff is awesome I must say.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.300487013; Sentiment_Subjectivity (from 0 to 1): 0.633198052 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pleasantly surprised, the food is pretty good, even the gross looking things I was forced to try by the girlfriend were good. Just a bit pricy come prepared for that. Also the waiter was a bit snobby until I pulled out a pocket full of money near the end of the meall, I do believe I was being profiled and treated accordingly, not treated badly but not attended to as much as the other more (expensive) looking patrons. But I would go again nice place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.133928571; Sentiment_Subjectivity (from 0 to 1): 0.549404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 vegitarians worst nightmare which makes it basically heaven on earth with hanging racks barbecued meats and peking duck for me! It is my favorite cheap eats resturant in the city. The plates are always made hot, fresh and are overflowing with succulent meats of your choice right in front of you. I always order the large barbecued pork plate with rice, cabbage and greens sauce for only $5.00. It's way to much food so it last me two full meals. The resturant is takeout only but there is a park right across the street where you can chow down when the weather is nice. There is always a line out the door of this tiny little resturant which speaks to just how damn good the food actually is that people are willing to wait in line when there are a million other options for food in NYC. Also, I have no clue what the green sauce that's stored in the old margarine tub on the back counter is but do not forget to ask for some. The fresh herbs in the green sauce is so refreshing and  enhances the richness of all the meaty goodness they stuff into the plates.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.124728101; Sentiment_Subjectivity (from 0 to 1): 0.547427984 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Irish Pub in Manhattan... Best pint of Guiness... Best Irish Breakfast... Best corned beef and cabbage... Best rare bacon cheese burger... Lovely waitresses... Lovely fireplace... Lovely sawdust... Lovely escape... Shh, it's a secret.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.492307692; Sentiment_Subjectivity (from 0 to 1): 0.523076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How do they get so much basil into one pesto sauce?  I swear I ate a whole bunch of basil in my bowl of pasta--it was great.  Fun atmosphere, great outdoor seating, tasty food in good portions.  The no-sign above the door makes it feel a little like a speakeasy, and the bartender in its adjacent wine bar told us right off the bat which wines "sucked..."  One of its great distinctions is the alternative to white bread and butter--whole wheat peasant loaf and white-bean salad---mmm.  I'd definitely go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.32485119; Sentiment_Subjectivity (from 0 to 1): 0.398809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go for a solid cup of coffee and the avocado toast. The couscous is also fantastic. Seems to always be crowded no matter what hour and the seating is rather tight but for a guaranteed solid meal this is the place to go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.055357143; Sentiment_Subjectivity (from 0 to 1): 0.346428571 [/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: Such a great restaurant! Super friendly service, authentic drinks and fabulous food. The only caveat is that we got there at 6pm fpr dinner and hence did not have to wait. It really fills up later on and they don't take reservations so be prepared to wait for up to an hour to be seated if you show up at a busy time. Enjoy!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321212121; Sentiment_Subjectivity (from 0 to 1): 0.560606061 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is such a staple to the New York street food scene and is definitely worth at least one try. If you're near by, it's a cheap, filling, tasty thing to get. Look at all the lines and you will know that this one is the best one to get your chicken and rice fix. I usually hit up Chicken & Rice for a mixed platter (lamb and chicken) after a night out on the town... I am not one for spicy, so just white sauce for me! When I'm fatigued and hungered after shopping and I need a quick bite before heading home... I've been heading over to the carts to get some of this amazing food. It's hard to find something good, cheap and quick in this Rockefeller Center area. Jon and I also take our out of town friends/ family visiting so they can try the famous "Chicken and Rice". Just remember that this is cash only and be prepared to wait on line.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.063537549; Sentiment_Subjectivity (from 0 to 1): 0.565052701 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 keeps me coming back mainly because of their amazing red sangria (the grapes are awesome--I shamelessly dig them up with straws/forks/anything!).  I came here for brunch and our party of four was seated outside immediately.  They aren't as crowded for brunch as they are for dinner.  Granted, we were a little cramped (they squeezed us on a two top table), but the patio isn't big to begin with.  We had a dog with us and they brought her over a bowl of water which was quite thoughtful. As for the food, I had the breakfast burrito with egg whites and it was awesome!  Not too cheesy and the chorizo gives it the perfect kick of spice and saltiness.  I recommend getting an extra side of salsa/guacamole with it to give it some contrast, but it's yummy without.  Most brunch dishes come with a drink, so obviously I got the red sangria.  Nothing like a good mid-Sunday buzz with a view of the park!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.256127451; Sentiment_Subjectivity (from 0 to 1): 0.446078431 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's OK, you can't expect too much for this price and this location. really miss authentic hotpot in homeland............; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.4125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only got appetizers - grilled octopus, meatballs in tomato sauce and lamb kabobs - and they were all fantastic. We almost ordered another grilled octopus; it's very tender and perfectly cooked. I don't even like lamb, but theirs was great and not too gamey.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.48; Sentiment_Subjectivity (from 0 to 1): 0.79 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at times nourishes. Food at times transcends, sating body and spirit alike. Scarpetta operates in the latter world.; 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: Great place! Really good atmosphere. I went for a work meeting - good apps and wine by the glass. Thoroughly recommend it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.858333333; Sentiment_Subjectivity (from 0 to 1): 0.65 [/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 a great place to eat in the E Village. First of all the food was fantastic and plentiful. I split the duck papardelle and the meatball special and I couldn't have been happier. The food was tasty, flavorful and came out in good size portions. And to top it off, dessert was excellent and the bill was reasonable. I liked the atmosphere although I found the outfits of the waitstaff a bit strange. The service was not bad but a bit sloppy. Overall, I liked this place and would go back again. I actually didn't think I would like it as much as I did!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.325910364; Sentiment_Subjectivity (from 0 to 1): 0.51302521 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for brunch over the summer and thoroughly enjoyed the food.  We had to wait about 15-20 minutes for a table and the space was pretty cramped but once the food arrived, all was forgiven. I had the smoked salmon eggs benedict and it was delicious.  Haven't had a chance to go back but would love to try their other stuff if it's half as good as the eggs benedict was.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.332291667; Sentiment_Subjectivity (from 0 to 1): 0.555208333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 usually go for uber-detailed reviews, but i'm not going to do that today. I am no stranger to top-end dining experiences, and Atera is one of the best I've ever had. We had reservations for the 9:30 seating. Upon arrival they took us down to the very cute lounge below, and we ordered some top notch cocktail. shortly thereafter we were ushered up to the main dining space, which is stylish and comfortable. One of the prettiest rooms i've been in in a while, with a soapstone wraparound counter (all the seating is at the counter except for one table in the back for larger parties) and a wall-garden overgrown with fresh herbs. The staff is knowledgable, funny, friendly and on top of its game. the food, a small plates tasting menu, is creative, delicious, whimsical, and just keeps coming, plate after plate. The theme of the menu is foraging, but things are repurposed and styled in the most delightful and surprising ways. And with the open kitchen design you get to watch the chefs meticulously preparing every tidbit. By the time we rolled out of there, 3 hours later, we were giddy and stuffed to the gills. sure you drop a pretty penny to eat here - but if you're up for a splurge, this may be about the best NYC has to offer; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304861111; Sentiment_Subjectivity (from 0 to 1): 0.562896825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pizza is amazing! I love the thin crust, not too salty and service is really nice. Even the workers making the pizza in the back are nice and they smile if you're looking. I think the default is margarita pizza (mozzarella sauce, cheese and basil) and you can add toppings. We got 2 pizzas and 2 sodas for about $59. Kind of more pricey than the pizzas in Sacramento but it's really good. This place is next to Grimaldi's but the line is A LOT shorter here. Julianna Grimaldi first opened what is now Julianna, but expanded next store to what is now Grimaldi. My sisters been to both and still likes Julianna's better. I haven't tried Grimaldi but this place definitely hits the spot, especially when the wait was only about 15-20 minutes compared to the 1hr+ wait at Grimaldi's.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.288235294; Sentiment_Subjectivity (from 0 to 1): 0.575490196 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am not even going to bother reviewing the food.  Let me just say that there is a mastery here where every ingredient seem to be treated with equal care and their final result shows the genius of a perfectly executed meal. I have been visiting this very elegant restaurant for a couple of years now, have done lunch, dinners, and a lovely and memorable champagne infused brunch.  Every time the staff is very attentive, and helpful.  Their wine selection is spectacular, and as expected so are their prices. If you come here in jeans, you will not feel welcomed.  This is not a place to come and be seen, nor it is a place for someone with limits in their credit card.  They are not snobs, but are the class of old world restaurant that have high standards for food and service.  Be forewarned, if you are not accustomed to spend a few hundred dollars per person for lunch, then you may feel intimidated by this place. Try their tasting menu, and ask their sommelier to do a pairing.  Fabulous! Someday, I dream of sitting at the chef's table.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325384615; Sentiment_Subjectivity (from 0 to 1): 0.703076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Welcome friend, come in and find a seat! It is so good to see you! Hard to feel unwelcomed here at Papi's. Everyone we encountered was super friendly and seemed to enjoy what they did. The restaurant is very clean with a buffet type bar up front where an employee will scoop up there food for you. The wife and I had an enchilada and a vegetarian wrap. Both were good and Mexican-American tasting (not autentico). You won't leave here wanting more food that is for sure but you also won't say that was the best meal of your life. Overall, food was 3 stars and customer service and restaurant cleanliness were a five. Gotta give them a four and will probably be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.451410256; Sentiment_Subjectivity (from 0 to 1): 0.531324786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend who goes to fake-NYU (Polytech) took me here when I visited him. A graduate of real-NYU, I was always close to great dumpling places in Chinatown, so I had an idea of what good dumplings should be like. I'm pretty sure it's just a tad bit more expensive than Chinatown (that doesn't really mean anything when it's so cheap to begin with). However, the food itself I found to be lacking. The filling was very heavy and oily, and the sauce they give with you seemed to just be more oil, with a hint of soy sauce. Yes, the taste was good, but I could barely eat 14 before the oil overwhelmed me. Also, when I got my fried dumplings, they seemed more like steamed dumplings dipped in oil, and were all congealed into one large mass. They weren't even piping hot (the steamed ones, however, were). Try to head to Chinatown for your dumpling fix next time - if you don't like one place, you can just walk right next door and try another. And another. And vomit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254305556; Sentiment_Subjectivity (from 0 to 1): 0.555037478 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at all overrated, but also not the best burger in nyc. arguably the best bang for your buck, however. thin, crispy fries and cheeeaaaaap beer. cash only.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.6125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: GF got saigon shack pho with brisket and meatballs. The broth was good and meatballs were great. Good flavor. I got the "spicy" brisket bahn mi ....not spicy at all....at all... So I threw some siracha on it, never crazy about doing that bc of sirachas strong flavor...anyway it was pretty good, next time im going to ask if they could mix the veggies and meat prior to putting in the bun as i only had either all meat or all veggie bites and i think it would have been nice all together.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.407575758; Sentiment_Subjectivity (from 0 to 1): 0.653030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Interesting fact, the little hallway leading up to this restaurant is also known as "Basquiat Road."  Apparently the artist died in his loft at this address.  But don't let ghosts of bohemians' past stray you away from this indulgent dining experience.  If you can somehow manage your way into the door, allow your taste buds to take a ride and forego the tasting menu and order with your eyes.   As mentioned in previous posts the uni croquettes are a must.  They melt in your mouth.  The thought of it alone has me salivating as I type the review.  The miso cod was perfect.  Fishy but not too fishy and the skin... Oh the skin... I wish they made chips out of you and sold you in bags so I can snack on you every hour of every day.  The mini burgers and tartare were also great as well as the mac & cheese.   Oh how I wished we could have ordered more, but considering our reservation was at 9 and we had been drinking and snacking at other places in the area since 6:30, we stopped there since we had to save room for dessert.  And believe me, you need to save room for dessert.  Not a fan of ice cream, but the ice cream they serve at this place is delicious.  So, yeah, save room for it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.312083333; Sentiment_Subjectivity (from 0 to 1): 0.539166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 corn wit da melted queso and tasted like mayo was off da heezy.  End o story on that.   Typical tight cramp NYC restaurant.  When the place gets really packed, just be careful when your moving your arms around.  I saw some big tall dude accidentally shove the waitress when he was getting out of his chair and knock down two plates of food.  I'm sure that isn't the first time its happened.  You might want to take it go next door if you're someone that might take up 2 seats.  Just being blunt and upfront, not trying to be mean.   I thought the mojitos here were good, but not great.  The best enchiladas I've had for surely.  It was must've been the red sauce which had a little kick to it.  The cuban sandwich I ordered was somewhat cold already when I got it, but still good.  I wanted to complain about the sandwich being cold, but it was so hectic, I didn't bother.  The service overall is below average, but I will come back because its good food at a reasonable price.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.079133598; Sentiment_Subjectivity (from 0 to 1): 0.480133929 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They serve fries. Don't let the name confuse you. In fact, there's a lot that might confuse you about this place, like how they can give you so much fried potato for so little money or how the heck Irish curry sauce could be so good on fries. Yeah, not only is there a great value to be had, but you're also looking at amazing flavored to go with your fries. They've got too many to count and you can sample any of them before you commit. Of course, there are the basic sauces that are free, so don't feel pressured to indulge in the premium products (but indulge you will). They've got really limited seating indoors, but if you can snag a table (they all feature perfectly sized holes for your cone of pomme frites and sauce containers), you're looking at a great time with friends or the strangers who want to sit next to you. This place has the best of both worlds: comfort food and innovative flavors. What are you waiting for?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.390066964; Sentiment_Subjectivity (from 0 to 1): 0.535491071 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ZOMG DUMPLINGS!! Hot. Juicy. Fresh. Fried. CHEAP. Dumplings!!!!! (+ sandwiches and wonton soup) Somehow this white girl always ends up here with a bunch of drunk, hot Asian chicks on a weekend night... and no, that is by no means an invitation for you to come out with us or bring your video camera. What you CAN do is go to Vanessa's Dumpling House when you're hungry after an evening of drinking with the hope that you might be able to see us in all our feminine glory chowing down on delicious, greasy dumplings.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.264444444; Sentiment_Subjectivity (from 0 to 1): 0.581388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This restaurant deserves 5 stars for ambiance and the set up of the menu; however, our food was consistently over salted. We shared the following: Appetizers Over roasted shrimp** Tortiglioni with tomato-piquillo sauce, eggplant, basil-ricotta** Gato Salad with greens & reds, asparagus, ricotta salata, tomato, crunchy wheat Mains Porterhouse Pork Chop with tomato pan juices, romesco polenta Fresh Fettucine with squid ink, spanish red prawns, mussels, green onion sauce** Dessert Cheese cake with cherries, almond crust The starred items were the most salty. The wine list is decent and the cocktail menu is cute. The staff is very attentive and know the menu well. I'll definitely come back, I'll just ask for less salt.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.143846154; Sentiment_Subjectivity (from 0 to 1): 0.375641026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG!!!!This pizza place is great,tasty original Italian pizza..i come here often on my lunch break,even took some home to my parents and family,they loved it...kept asking me for more....lol..oh yes Pizza boss" John" besides being very handsome guy,his friendly,respectful and polite,he knows how to treat his customers..and his staff,very sweet,hard working..decent too..smily,happy place..i recommend all..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.43125; Sentiment_Subjectivity (from 0 to 1): 0.6375 [/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 my all time favorite Brooklyn spots. The food is fast and always good. I am a huge fan of the french toast, it is not too overdone and fancied up like the new yuppie places down there. (although i technically am a yuppie i have a natural resentment to fancy breakfast places, maybe this review explains that!) The people are nice and regular, and i hope it is around for years to come!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.227800735; Sentiment_Subjectivity (from 0 to 1): 0.492759765 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Mexican food ever!!! They have amazing tamales, quesadillas, burritos, tacos and well you get the point. Nice cozy ambience and the staff is so friendly. One of my favorite restaurants.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.410714286; Sentiment_Subjectivity (from 0 to 1): 0.635714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I love this place. I love the corn. I'll probably come back just for the corn... as I always do. Not really excited or mindblown about anything else... except for the corn. Which is the reason this place is 3 stars and NOT 5 ... even 4 stars. On that note... Who the hell hires any of these waitresses? I get lucky like once every 3 times or whatever, but the last time I immediately thought to myself, "WOW THAT WAITRESS WAS SUCH A DICK I'M GOING TO YELP THIS." And so yeah, Cafe Habana... Get your Human Resources together or some shit. That girl couldn't give less than zero fucks about us, anyone else, or her job. 5 minute wait, nobody's in line, and yet, you let two separate sets of random walk-ins right after us take a seat before us? I had to waive you down twice just to order. I ask for an EXTRA FORK... and you go straight to one of the dudes behind the bar because you just HAD to continue your conversation. You come back after 12 minutes and say, "Oh, sorry for the wait!" Really? Why did I have to ask you for my check TWICE? CoOOooOMe OonNNnNNnn.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.00578373; Sentiment_Subjectivity (from 0 to 1): 0.452063492 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ilili was on my wish list of New York City restaurants for quite some time. I recently met up with a friend for an upscale Lebanese dinner here. We decided to try the $42 prix fixe dinner, which allowed each of us to select 2 appetizers, 1 entrée, and a dessert. That meant tons of sharing! Before even making our selections, we were served a plate of crackers with labne (strained yogurt), za'atar, and olives. Between the two of us we had 4 appetizers to try out. Our definite favorite was the Veal Sweetbreads dish. Plump sweetbreads are breaded and fried just like fried chicken and served in a lettuce cup with garlic whip and kabiss (pickles). This was the standout dish from the night... it was well-balanced from it's texture to its flavors. We highly recommend it. Our next favorite was the Sweet Cheese, a baked Halloumi topped with winter vegetables, apples, and sumac. This gooey starter also had some great textural elements with the addition of crunchy julienned apples on top. Fresh (and super puffy) pita bread was a great vessel for enjoying this baked cheese. We also enjoyed the Fennel Cured Sardines with piquillo peppers, garlic, fresh fennel, that is served with grilled bread. The sardines were not overly fishy, and although the peppers and fennel added nice bright flavors to the dish, it was a touch on the oily side. Our final appetizer was the Marinated Octopus and Calamari Salad with carrot tahini, sweet pickled cucumber and nigella seeds. The octopus and calamari were quite tender with a nice crunch from the pickles. Overall, my friend found the dish to be a little sweet for her taste, but I thought the flavors worked well together. For our entrées we both ordered red meat dishes. my friend went with beef, the Date Braised Beef with cashew "couscous," cucumber, and rose petals to be exact. It was beautifully tender with a delicate sweetness from the dates, a concept I'd love to borrow in my own kitchen sometime. My main course was the Lamb Kebab, which consists of marinated lamb loin and cherry tomatoes served on a spiced pita along with a side of garlic whip and a light arugula salad. The lamb was not only seasoned just right, but was cooked to perfection, moist bite after bite. The grilled cherry tomatoes added a touch of sweet and juicy acidity. The pita itself was crunchy. I'm not sure if that was a result of it cooling down and drying out, but it made me think of it more as a Lebanese taco :) The garlic whip is a garlic-lovers' dream, a creamy garlic infusion. It reminded me a bit of the famous Zankou Chicken garlic sauce (one of the greatest inventions of mankind). When I finished my lamb, I wanted to slather the remaining sauce all over myself (to ward off vampires, of course). I restrained myself. Don't worry. For dessert I couldn't resist the ilili Candy Bar, a decadent layered treat of chocolate kataifi and chocolate ganache served with pistachio and fig caramel and finished table side with warm chocolate sauce. The chocolate kataifi layer had a great crunchy texture while the ganache was nice and smooth. While this is definitely a rich dessert, it's a great option for any chocolate-lover. I recommend it. My friend tried the Apricot Lebanese Ice Cream, which had a lovely floral flavor in addition to apricot. I found the texture reminiscent of Lokum (or Turkish Delight), it was almost toothsome, definitely a unique trait in ice cream. I imagine it is made with a similar method or similar ingredients. I'd love to research this more. We both really enjoyed this ice cream! I recommend ilili to anyone who enjoys fine dining and Middle Eastern cuisine. The cuisine at ilili is definitely a lovely variation to the traditional dishes one would find at a typical hole-in-the-wall Middle Eastern or Lebanese restaurant. The flavors were spot on, the proteins were cooked perfectly, and not a single "boring" bite of food touched our lips.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.291172598; Sentiment_Subjectivity (from 0 to 1): 0.641504753 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome soup and cool small diner vibe.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Nu be to Artichoke Pizza as of last night. My first slice and now I'm hooked 4 life! My one word description is a tell all... "ORGASMIC" (and that's some unheard of description for a slice of pizza) Don't take my word for it...just go experience it for yourself... then get back to me. -- Ivy Supersonic; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.104166667; Sentiment_Subjectivity (from 0 to 1): 0.133333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here last night - service was fantastic but the food was mediocre at best. My husband got the spinach ravioli which wasn't bad but they put canned tomatoes on top- blech. Weren't we in little Italy?? Canned tomatoes really? I had the stuffed eggplant special that was eh. If it wasn't for the service I would give this restaurant 1 star.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.026964286; Sentiment_Subjectivity (from 0 to 1): 0.57047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 anniversary dinner.. Had the blueberry pancakes (ta die for) the maple butter syrup really compliments them ..I also had the fried green tomatoes . 1 1/2 hour wait -totally worth it. Enjoy.!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.275 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: arepa de pabellon, cachapa, plantain and cheese empanada, and the reasonably priced extended happy hour sangria were all wonderful. restaurant environment is pleasant and clean, including the restrooms, you can sit facing the sidewalk if you like. feels like authentic Venezuelan. (Disclaimer: i have visited Colombia a couple timed, which has somewhat differenr arepas, but not Venezuela); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.836111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Met friends for a drink and quick bite,but we had a tabale by the window and didn't want to leave and stayed for dinner.  Such a unique place, the greenery, the quirky decor, the bathroom - so cool!  and the food was delish - had a few starters, then dove into the Schnitzel, Spaetzel and brussel sprouts - then cheese and blueberry cake for dessert. Nice light Austrian wine....definitely recommend it; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.243229167; Sentiment_Subjectivity (from 0 to 1): 0.68125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolute favorite slice pizza joint in NYC. I'm a vegan now and opt for the Broadway Breadcrumb (it's cheese-less), but I used to love love LOVE the Mercer Margherita. The mozzarella is fresh as can be and the basily marinara has me drooling just thinking about it. Also for you pepperoni fans, they definitely don't skimp here, unlike the other places on the block. Try the rice balls with vodka dipping sauce! Yum!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.288085938; Sentiment_Subjectivity (from 0 to 1): 0.634375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Folks -- It is just hype. There are much better Halal carts in the city. It's bland meat with rice and some sauce. And it cannot be any better because they are making it for the masses. It gained the fame somehow and now it is riding on that fame. All the folks who are raving about this probably don't know much about how this food should be. If you really want to try good halal food, try Raffiqi's cart. I have one near my work at Park and 23rd street. The meat is spiced, the rice is moist, the sauces are mixed in the right proportion; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.257671958; Sentiment_Subjectivity (from 0 to 1): 0.446560847 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AMAZING! I went there last night with a girlfriend and it was superb! We got the Yellowtail, Short Rib Buns, Korean BBQ wraps, and Braised Pork Belly Tacos! I love how each dish had a spicy kick whether it was pickled jalapenos or the kimchi salsa. Food was so delicious, I asked the waiter if we could thank the Chef! He let us right in the kitchen. Kudos Chef Daniel Yi! Place is clean and customer service was excellent. I hope this place does really well!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.522380952; Sentiment_Subjectivity (from 0 to 1): 0.630238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best Italian sandwiches in NYC!  Bread is crunchy on outside and soft on inside, meat is top quality, perfect amount of cheese, and delicious sauces.   Downside is that there is often a long wait,  the tables are on top of each other,  and the portions are very small for the price.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.327272727; Sentiment_Subjectivity (from 0 to 1): 0.454090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 looooovvvvvvvvvvveeeeeeeeeeeeeeeeeee this place to pieces. The service is friendly. The food is delicious. The oxtails fall right off the bone and the sauce is delightful. The cow foot stew is omg. Everyone I referred to this place agrees that the food is off the chain. I love it, love it, love.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.503422619; Sentiment_Subjectivity (from 0 to 1): 0.625297619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dinner with the bf because we were looking for something to eat in the area before we attended a show and stumbled upon here thanks to Yelp! Upon arrival, this place had two tables for two available. I sat at the table near the door and man was it cramped!! This restaurant is extremely small - probably can fit 20 people tops. I was not comfortable in my seat because I had a huge plant over me the entire time but whatever, I came here for the food! Lol. We got the Chicken Empanadas, Seared Duck Breast Noodle, and the Braised Lamb Shoulder Stew. The Chicken Empanadas were very different (but good!) from any empanada I've ever tried - the crust is flaky, the filling inside had curry spice and the dipping sauce that came with it in was sweet. The Seared Duck Breast Noodle was good but I probably wouldn't order it again if I came here again. Maybe I'm just expecting too much and shouldn't compare it to places that specialize in ramen like Ippudo/Totto Ramen. The bf got the Braised Lamb Shoulder Stew and this was probably our favorite dish. This entree was SO flavorful we were trying to figure out what Baoburg puts into this dish. What a creative dish, it was so good!! Prices were alright but I definitely think I could of gotten a bigger and better bowl of ramen for cheaper elsewhere. The Braised Lamb Shoulder Stew was really good but the portion size wasn't too big. We weren't really full but sometimes it's good to not stuff your face and to just eat until you're not hungry anymore. Service was alright, it wasn't amazing - there was only one waiter working when we went. Ambiance is not the best and you will be very close to the table next to you. This place also shares a bathroom (with 1 toilet) with the ramen joint next door. Get here early because as we were getting to leave, there was a line. FYI - cash only.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.257083333; Sentiment_Subjectivity (from 0 to 1): 0.551571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved the oysters. Loved the service. All of the food was perfection. Salmon tartare...divine. Scallops reminded me why I love scallops (had mine on perfectly done kale vs the risotto). Fish stew was bowl lick-able. Go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.725; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Both working and living in the neighborhood, it's always exciting when a new restaurant opens up. AWOL especially stands out with it's farm to table philosophy, which is truly displayed on their ever changing menu. Being an Italian girl from jersey, I'm not ashamed to say I had one of the best pizzas of my life here. Their food is pretty dank, stop screwing around and go try some!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.291477273; Sentiment_Subjectivity (from 0 to 1): 0.592424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place for a good pizza!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.7375; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tiny little, unpretentious joint serving up drinks in Mason jars and some awesome fried chicken! The menu is small, but Peaches does its food good. We went on a Friday evening and saw everyone from families to the post-work crowd. Being a spice-lover, I ordered their extra hot cajun chicken sandwich and it did NOT disappoint. The chicken was crispy hot and spicy on the outside with an incredibly juicy inside. Paired with the mayo and brioche bun, it was basically a party in my mouth. And for once in my life, it was definitely as spicy as advertised! If you're feeling really adventurous you can order the Booker T.- a burger topped off with a piece of extra spicy chicken! I had to wash away the heat with some mashed potatoes and a slice of their sweet bourbon cake with ice cream and fresh fruit but it was well worth it. Pro-tip: I didn't see a readily available dessert menu so you'll have to ask your server if you're fiending for some sweet stuff. The staff is great- super friendly and attentive and the service is quick but not rushed. Definitely a neighborhood gem worth checking out!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164798851; Sentiment_Subjectivity (from 0 to 1): 0.595402299 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The corn is amazing. Cotija cheese, chili pepper, lime, butter, perfectly grilled corn = amazingness.  Fried plantains are also pretty good but going just for the corn is worth it. Enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.558333333; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend raves about the Cheeses H Christ, I didn't think a plain cheese pizza could possibly deserve such praise. I was wrong. The combination of the cheeses and the honey (yes honey) is delicious. Not sure why I didn't give them a 5... I guess I'm just picky.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.005952381; Sentiment_Subjectivity (from 0 to 1): 0.774338624 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: super fun place to visit for a few drinks. had an amazing experience here after visiting the best cocktail bars the city had to offer. was denied entrance on the first try (bouncer was a fuck head) but the second go made up for it. was really impressed with their selection and atmosphere. total change of pace from comparable bars and a much larger space than expected. steve schneider was behind the pine and pouring drinks like a madman - real, real fun guy. had about 4 shots of fernet and he had me and my pal pour another round for the three of us before leaving. this will be one of the first places i'll visit when i travel to the city again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.180208333; Sentiment_Subjectivity (from 0 to 1): 0.467708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 curry i ever tasted so far in NYC. Is also very cheap!!! They have a Grand plate that 3 girls could eat together or two guys. The environment is just so-so but the food is very good. If i m nearby the place i will definitely come back because is so cheap and tasty. If you are looking to eat curry don't go to east village to those expensive restaurants just come here is way more worth the money than there.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.382727273; Sentiment_Subjectivity (from 0 to 1): 0.59 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've had my fair share of dining at nice restaurants, but Hakata Tonton made me so happy that I am finally writing my first review! I've tried a few hotpot places around the city, but this place is definitely my favorite. The restaurant is small and can't seat many people, so I recommend making a reservation beforehand to secure a spot. We started with the monkfish's liver and the foie gras inari sushi. The monkfish's liver was good, but didn't leave any lasting impression. But I absolutely LOVED the foie gras inari sushi to the point where my friend and I considered ordering another serving. Every single bite I took seriously felt like heaven in my mouth. The rice was seasoned well, and the tofu skin was thin and soft but still flavorful. And to top it off, the foie gras was seared nicely. Grilled pork tonsoku w/ scallion and ponzu sauce: the restaurant specializes in pig's feet, so you can only imagine how good this was. It was absolutely delicious with its gelatinous texture and its crispy, chewy skin. However, if you order the hakata tonton hotpot, I don't think a separate order of the grilled pork tonsoku is necessary. Hakata tonton hotpot: I absolutely loved it. I came with one friend, and we devoured everything, literally had nothing left in our bowl. We opted to mix in rice with the leftover broth and finished that too. I don't think I've ever eaten this much and felt this full in my life, and I eat a lot. But it was all worth it--truly all worth it. The service was attentive and good. We didn't have any problems with service as other reviews have complained about the slowness. I was so satisfied and content with my experience at this restaurant that I wanted to tip generously only to find out that the servers don't accept tip! I left with only paying 40$... ONLY 40$!!!!!!!!! I've definitely paid much more for meals that did not even match half the quality and taste of this restaurant. I already made my reservation to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.24339701; Sentiment_Subjectivity (from 0 to 1): 0.573394241 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here last Saturday with 3 other ladies.  We ALL really enjoyed this place.  I had a very different impression when I entered the trendy spot in Hell's Kitchen.  The service was great, the food was great and it was way more affordable than I all the aforementioned trendy features foretold.  Drinks, apps, and dinner entrees for 4 and we only spent about $110 TOTAL!  I left with a very full stomach and in complete shock.  I will be going back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.242941176; Sentiment_Subjectivity (from 0 to 1): 0.510980392 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3 Burgers + 3 beers + 1 shake + 1 order of fries = $90. Jesus Christ. People are really milking this whole 'organic' thing, aren't they? There was really nothing special about eating here. I can eat fattening, organic food at a lower cost all over the West Coast. I can have cheaper, locally brewed beers at any one of the thousands of bars in the city. I can just go to IN n Out and have fries wrapped in lettuce like the good ol' days. Who cares? As I still feel cheated out of my money, the food was still good. It was fresh and tasty. The milkshake was good, too. I wouldn't go out of my way to eat here - but who would have to? They have shops all over NY and even in the 'burbs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.373015873; Sentiment_Subjectivity (from 0 to 1): 0.407936508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I get into the review, I have to say this: if you want a ridiculous, high fructose corn syrup-laden monstrosity, don't come here. You'll ruin it for those of us who understand what they're doing here. This place is amazing. It seems like it's been around forever, but I was surprised to find out it's not even a year old. I...may or may not have gone twice in a five day period. After talking with the doorman to make sure there was room for us, we headed up a steep flight of stairs to the parlor. We were welcomed in the parlor by one of the owners, who explained their shockingly short history, and a quick rundown of the menu. The drinks are out of this world, and the selection is massive. Really, you're given a book that serves as the menu. The book also has great history of the Five Points, which I found very interesting. We were served complimentary cups of pisco punch shortly after we sat down, which made us feel welcome. Our waitress knew the menu completely, and steered us in the right direction for our tastes. I had the Whiskey Smash à la Terrington and the Angelus, both of which had the perfect mix of bracing levels of alcohol and refreshing flavor. We had a fantastic time, and when I looked around the parlor, everyone I saw was thoroughly enjoying their night. Just remember... The only good rabbit is a Dead Rabbit!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.291606349; Sentiment_Subjectivity (from 0 to 1): 0.650139683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 word to describe Alta is pretentious.  The three of us walk in on a Wednesday night at 6:00pm.  The place is completely empty.  The host asks us if we have a reservation.... (um no but does it matter??)  He tells us he can seat us but we have to be out by 7:30.  Ok fine. They have a nice selection of tappas but the menu is so poorly organized that it's overwhelming.  All of our selections were very good with the exception of the gnocchi.  This portion was so small, it was like they took one gnocchi and cut it into 4 pieces.  They should be ashamed to charge for what they served. The main reason I have given Alta only 2 stars is because of the rude wait staff.  The way they rushed us was completely uncalled for and the attitude on our waitress was ridiculous.  We are ready to pay the bill and find out they only take cash or AMEX, which is posted nowhere in the entire restaurant. By the time we left at 7:45 there were still plenty of empty tables and the supposed party that had a reservation for our table at 7:30 was nowhere in sight.  So what was the rush again Alta??; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1305; Sentiment_Subjectivity (from 0 to 1): 0.611916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 stars.  My wife and I became obsessed with Chef White and the Emilia Romagna region after seeing the recent Bourdain episode about the region, so we visited Morini on our next trip to Manhattan.   My only complaints:  we were seated at a table next to the kitchen/bathroom hallway with uncomfortable chairs, and our waiter was a hipster with a touch of attitude.  But, what do you expect in SoHo? The food, however, was perfect.  We went outside of our comfort zone on wine and tried one of the sparkling reds that are common in Emilia Romagna, and both loved it (I believe the label was "Gibe").  For a starter, we had a huge meat tray (proscuitto de parma, speck, and salumi).  Remember that scene from Bourdain's show where he and Chef White are eating mounds of 24 month proscuitto in that ancient meat cellar?  The meat tray at Morini nearly recreates that scene (absent the rolling country hills) and made me question many of my life choices.  For the main course, I had the gnocci with beef cheek and my wife had some sort of raviolli.  Both were sublime. It's places like this that give me big-city-envy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.097916667; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here several times for both lunch and dinner and it is finer dining at it's best. The food is absolutely delicious and the staff is incredibly attentive but not overbearing. The delicious lunch I had today was top of mind so I wanted to write a review to rave - I had the chicken paillard caesar salad and split the chocolate cake and were both completely satisfying and tasty. I also came here quite awhile back for drinks after work and I was accidentally spilled on and the staff did not even blink and offered to pay for my dry cleaning and credited me for a free meal. I was so impressed and appreciative of the gesture. This is a great place for a higher end lunch or dinner so be prepared to spend $$ if you go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.452222222; Sentiment_Subjectivity (from 0 to 1): 0.68 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Now that they've got some food options (nothing mind blowing), expanded the seating area and put a mirror behind the bar, this place is hard to beat if you want to drink like an adult in Bushwick. Easily the best date place for miles.  And you can tell people know this because I saw at least 9 first dates happening at this place around 8PM on a Wednesday. Their cocktails have improved and they're all $10 or below. At some point I really think they'll have to start taking cards.  CASH ONLY for now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.110185185; Sentiment_Subjectivity (from 0 to 1): 0.512037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite parts of living near nyc is the abundance of single concept restaurants. I have been intrigued by this place for awhile, but thought it was a bit of a let down. They serve potato bowls that you can customize (different types of potatoes/toppings) or you can choose one of their options. Be warned that their bowls are basically a meal replacement. The people working there are also a bit off.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.074603175; Sentiment_Subjectivity (from 0 to 1): 0.500634921 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: it is what it is.  "it," being cantonese hole-in-the-wall noodle garden.    Tastiness is well covered: congee, noodle dishes, roasted/BBQ meats.   I think that for me, the taste here has been so ingrained that its how other places' sampan congee and noodle dishes are judged by... It's been a Chinatown institution for years...i think my parents were eating here in the late 70's.   Not sure how much has changed but it has been consistently good for me. Regarding the service....for what it is, it's excellent service.  I have no idea how they do it, but they get piping hot food out from the kitchen in under 5 minutes every time.   Waiters are no-nonsense and get you fed and paid for with little delay.  (part of it comes from knowing a tad bit of cantonese to grease the wheels but hey...)     if only service at the 5 star Le Snootiers were half as good...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165530303; Sentiment_Subjectivity (from 0 to 1): 0.616414141 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: love this place. decoration is amazing. place is so inviting. and best of all their foods delicious. MUST TRY BAKED BEANs. A MUST; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.775; 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: I LOVE this place.  I've had the California and the Roadhouse burgers.. Their gluten-free buns are actually good.  Also, get the french fries and dipping sauces - You will not be disappointed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1125; Sentiment_Subjectivity (from 0 to 1): 0.4875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would love to give Cafe Cluny 2,000 stars, but I can't, so 5/5 is what I'll have to settle on. We went there for brunch today, and it was better than any brunch I'd ever eaten! The service was amazing, pretty quick, with really nice and attentive waiters and waitresses. And then there was the food. Best. French Toast. Ever. Real maple syrup and fresh berries added to the French Toast's incredibleness. The short rib hash was also awesome, really flavorful and salty. Also, if you're ordering a side, get the hash brown cake thing. It's awesome. As is the juice (super fresh tasting) and the coffee (intensely refreshing).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.428508772; Sentiment_Subjectivity (from 0 to 1): 0.587719298 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 never thought I'd say this at a Chinese place, but most of what we got really needed salt. It didn't taste like anything at all. The shrimp dumplings didn't taste so fresh and the noodles were meh. Roast pork and duck weren't bad, but Big Wong King is waaaaay better.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.114285714; Sentiment_Subjectivity (from 0 to 1): 0.352380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went there for the first time and I love it there. it's peaceful and quiet, I got a lot of my work done. workers and customers are so nice. lots of good vibes there. definitely going back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2875; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Chicken Pio is amazing! I would also recommend the rice and beans and salchipapas!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.16875; Sentiment_Subjectivity (from 0 to 1): 0.925 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the interior design and the concept of organic ingredients, but you pay a lot of premium for that... The taste is self was ok, not up to all the hype. I had goat cheese omelette, pretty ok portion, nothing stands out. great hangout place with girl friends though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.51; Sentiment_Subjectivity (from 0 to 1): 0.67 [/INST] Not Spam</s>