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syannn

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 strongly advise you to NOT come here on a weekend during prime lunch/dinner hours. I tried coming to Ippudo's on a Saturday at 6pm, and the hostess informed me that we wouldn't be seated until 10:30. 4.5 hours, are you KIDDING ME? So we ended up leaving and came back at noon on the following Monday, and waited a little under 5 minutes. Service here was great! Our waiter was very friendly and since he knew it was our first time he went through his personal recommendations and was really helpful in helping us pick what ramens to order. A MUST: Get the pork buns, you won't be disappointed. I actually think I enjoyed the pork buns more than my ramen. We had the Classic, Akamaru, and the Special (Wasabi broth) ramen. The one that really stood out to me was the special with the wasabi broth; the wasabi flavor added a kick. The noodles were cooked perfectly, I just wish they would put more ingredients into each serving, I think I only got 2 small and thin pieces of pork in my bowl. I think I had my expectations set way too high for Ippudo's after hearing all of my friends rave about it, and not to mention the insane number of reviews this place got on Yelp. Don't get me wrong, the ramen was good, better than most other ramen places I have been to, but it just didn't blow my mind like I had expected.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.14997619; Sentiment_Subjectivity (from 0 to 1): 0.523039683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 SO adorable! The interior was dimly lit and there was a beautiful chandelier in the middle of the restaurant. I really liked the atmosphere, they had party music playing pretty loud, but not to the point where it would be difficult to hold a conversation. We ordered the Pad Thai, Spicy Basil Noodle, Pumpkin Curry, a lychee mojito, and a pitcher of sangria. The mojito was a bit too sweet, but I liked the sangria a lot. All of our entrees were good, I can't pick out a favorite since they were all pretty different, but overall I was pleased with my meal. Service here was also quick, waited about 10 minutes for our food to come out. 4 stars for the great ambiance, service, and food. Would definitely come back.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.302916667; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stumbled upon this cozy spot one shopping afternoon, weary with hunger. My actual thought @ the time was "I need a snack," when I  looked up & saw the sign. True story. The ONLY problem with shopping in SoHo is that there is a lack of affordable, tasty food choices. Snack is a welcomed spot. The 2nd thing that made me come in was that they have a "people on yelp! love us" sticker--& they definitely deserve it. The food is well proportioned, affordable, & delicious. It's not super cheap, lunch will run you a few dollars shy of $20, but it's more affordable than anything else in the neighborhood. I recommend the Lamb Sandwich--& I don't like lamb.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.129487179; Sentiment_Subjectivity (from 0 to 1): 0.543589744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yay for extra large french fries + dipping sauces something other than ketchup! I was introduced to Pomme Frites in the winter time as a tourist & love the fact that I can now come here everyday if I wanted to increase my cholesterol level a few notches. The place is some other business's storage closet turned kitchen. It must be, bc the space is unbelievably small. Seating for 10 people tops. The good thing about this is that the fries are super travel friendly so you can grab your order & go with dipping sauce in hand. I like to sneak them into the movies. So much better than popcorn.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.130105311; Sentiment_Subjectivity (from 0 to 1): 0.403479853 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 said in another review that Uchi Houston is the best sushi I've ever had--& I stand by it. HOWEVER, Sushi Yasuda is such a close 2nd, that it's really a tie and ties are like kissing your sister. So I'm just going to keep eating lunch here until I'm convinced Yasuda is the best sushi I've ever put past my lips. It's gonna be tough eating perfectly made sushi rice adorned with fish that was killed 5 hours ago off the coast of Greece or wherever and flown in. Nevermind that I don't have access to Uchi anymore. Or the fact that if I keep eating @ Yasuda, I will have to file for bankruptcy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.262345679; Sentiment_Subjectivity (from 0 to 1): 0.375925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a solid 3.5 stars. It would be 4 if only my intestinal system didn't feel raging angry an hour after dinner. We started with the polenta smothered in mushroom sauce and brussels sprouts salad. Both were tasty, though I wish the polenta could've been a little crispier. The Italian sausage risotto was perfectly creamy. Meat lovers, you're in luck--Piccoli does not skimp. My friend had the beef pappardelle. Needless to say, it was perfect beefy goodness. A great comfort dish for this coming winter. Park slope is a bit of a hike for me, but I'd bear the L to G to F train transfer to eat here again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.18125; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 now-BF, then just friend, told me that all bad things in Brooklyn are blamed on the Levee. This may or may not be true, but any place that has $3 tequila shots can't produce good things afterwards. My story: These $3 tequila shots are what changed my friend into my BF as this is where our 1st kiss was. Damn $3 tequila shots. This is also where my BF got my little sister shit-faced drunk for the 1st time in her life & she threw up in one of the booths (sorry Levee). Their bar snacks are the bestest. Twizzlers. Cheese balls. Blow Pops!. I never knew all this junk combined with multiple tequila shots tasted so delicious. They have board games! Jenga while drunk is very fun. It's the only dive bar I've ever frequented more than once. It's a dive bar you should frequent more than once. It gets the job done & you have still have $$ in your wallet @ the end of the night. The best, most unique thing though has to be the chalkboard. You can buy drinks/shots for a friend today & they will write their name on the chalkboard + whatever you bought them. When said friend comes to the bar on a later date, they can claim it. I haven't tested this out, but it seems like a cool idea. Then again, you might be paying for a drink no body will get. Who would know?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.171184211; Sentiment_Subjectivity (from 0 to 1): 0.601403509 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 have a "people on Yelp! love us" sticker. That's pretty much good reason to go here. Another good reason is that it only cost $2.50 for delicious falafel & it's in a neighborhood I love. Two negative things that aren't really negative: 1. The hot sauce is REALLY hot--but delicious. This produces a predicament bc without the hot sauce, the falafel is not as delicious. Too much hot sauce & you burn taste buds. How much is too much hot sauce? I haven't figured that out yet. 2. I miss my sacrificed taste buds.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.379411765; Sentiment_Subjectivity (from 0 to 1): 0.705882353 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cheap. The noodles are made in front of you! It's delicious. & it's a walk away from Doughnut Plant. All points are a win. I highly suggest you speak Chinese. If not, I encourage you to order by #, with enunciation, & possible hand signals. If you don't do either of those two things, you may receive an order that you didn't intend to order. & no, they will not take your bowl back in exchange for the one you want. How do I know this? BC my BF ordered lamb soup & received vegetarian. 6 & 16 are very close in pronunciation you know. GET THE BRISKET. It's order #2. You won't regret it. Don't get the duck--the english translation doesn't tell you it's actually duck & OCTOPUS noodle soup, which my friend found out the hard way. Unless you like the interesting marriage combo of surf 'n turf.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.239027778; Sentiment_Subjectivity (from 0 to 1): 0.423472222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been awhile since I've eaten here, but my fondness for the place hasn't faded. A sister restaurant to my favorite restaurant, Public, BF & I had to try it. It helped that Public gave us an incentive voucher on our last visit. The voucher was for a mushroom pot. Without the voucher I wouldn't've gotten the pot--bc it's illegal & I like to stay on the straight & narrow. Hardy har, hehe--bad joke aside, the their pots are worth it.  For such a small item, it is actually a filling appetitzer. One thing I love about Public is the drinks and Saxon & Parole doesn't disappoint on this front either. I don't remember what I had exactly, just the memory that it was light and refreshing. The equestrian-themed decor is different, in a good way. With the dim lighting, it was the perfect date night spot. I can't wait for my Bday to roll around next month, bc this is where I want to have my dinner celebrating the less green side of 25.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.136231884; Sentiment_Subjectivity (from 0 to 1): 0.403623188 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 5 stars. No question. Public is my favorite restaurant for a handful of reasons, as follows: 1. It's off of SoHo--my fav neighborhood. Shopping while to kill time before dinner? Yes please. 2. The food is uh-amazing. Yes, the portions are not generous, but for an upscale kinda place, it's to be expected. The meals are very rich in flavor & appropriate for the portions served. Curiously, BF & me always get full off our meals, with one appetizer to share. The menu changes frequently. The oxtail snail ravioli & pork confit belly are sinfully good.   3. The drinks are even better than the food. Spicy guava margarita---i always order 2. It's refreshing with a chili pepper kick. The liquid gold (kumquat martini) was also delicious but now removed from the menu. 4. Public has great ambiance. It's the perfect amount of dim lighting. There's an industrial feeling juxtapose with white linen tablecloths & modern light fixtures. The bathrooms are clean, which is always a + anywhere. 5. It's Austrailian-Asian fusion cuisine--& that's just fantastic that someone came up with this unique food mashup.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.367234848; Sentiment_Subjectivity (from 0 to 1): 0.627651515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 day, I only had $4 cash to my name & was starving. So I went to Vanessa's & ate like a Queen.  5 dumplings, roast pork sesame pancake, wonton soup--ZOMG delicious. Seating sucks. Learn to hover. Don't go to the bathroom here, but if you do, get a tetanus shot & immediately shower.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: zOMG i LOVE dumplings! & 5 for $1 is a pretty damn good deal. So as you've probably read, it's not really on the spacious side of things but who cares when you're spending almost nothing for such a delicious amt of food? You can't even buy bubble gum nowadays for $1 but you can buy a meal from here. If you want to be a big spender you can throw in $2 & get wonton soup. So good. It just sucks that it's on Eldridge, far the fuck away from my usual Chinatown haunts.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.19375; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 GOOD. It's so good! Like, wow, delicious. IDK what else to say besides come here & try anything on the menu. They have seasonal offerings & classic staples. The brisket is esp delicious.   Oh, & take, say, 3 of the wet naps provided @ the counter. You're gonna need them.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.53452381; Sentiment_Subjectivity (from 0 to 1): 0.680952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: HOLY FUCKING SHIT ITS KINDA LIKE NEW ORLEANS BUT IN NYC. I'm a southern gal, born in NOLA, raised in Alabama, so I've been around a boil once or twice in my life. I love the feeling of togetherness it brings--and the competition. In my family, if you eat slow, you don't eat. Recently I thought I had developed a shellfish allergy and life was almost not worth living. I came prepared with an empty stomach and Benadryl in my bag. This place is best for groups--it cuts down on prices for everyone. We came here as a group of 9 for a bday fest. They don't take rezzies and there will be a wait. Ours was about an 1.5hr. We grabbed drinks at nearby Verlaine and they called when the table was ready. The catfish appetizer was deliciously fried and well seasoned. The everything sauce is REALLLY salty but went well with the clams. I would do the crab legs in butter garlic or dry. The best part is that they carry Abita Strawberry, which is choice for washing down sodium ladened shellfish.     I consumed 1/2 my weight in shellfish and was happy as a clam that my airway didn't close up. I can't wait to return, antihistamines in tow.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.214365881; Sentiment_Subjectivity (from 0 to 1): 0.440684624 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've never been to the village until this night, stumbling in with my GFs & BF after having consumed a drink on all 7 floors of Bloomies for FNO. (We started @ the top floor & use the down esclators---thought that would be safer than the opposite.) With that preface, I don't remember specifics of the place except an overwhelming feeling that I liked it. I don't remember what all was ordered but the brussel sprouts were OMFG delicious. I do remember the portions being small, but it's a tapas restaurant & it's set up for sharing. It was kinda loud, I think. The women's restrooms are one floor up. I remember this bc the stairs are wooden & I fell down them when returning to the table. Thank god that wasn't embrassing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.213888889; Sentiment_Subjectivity (from 0 to 1): 0.507777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: MMhmmMm so yummy! This hole in the wall serves delicious hand-pulled noodles, as indicated by the restaurant name. Me + BF voted to try this place vs. our usual dim sum spot for lunch & it was a great (read: my) idea. It doesn't seat many & their carbon foot print must be yeti sized--they use styrofoam cups & plates--but their noodles, esp in soup, are worth twice the avg. $6 per plate/bowl. We had two entrees & side for $13. & I had leftovers. I can't wait to try their noodle soup bowls when blustery winter rolls around.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.408333333; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Evil $5 lychee martinis. So.evil. So.delicously.evil. I had 4. I should've stopped @ 2 or even maybe 3. You know that warm, happy feeling that slinks over your heart & deadens your inhibitions that comes with cocktails? It sneaks up on you here & who wants to say no to happiness? Not me! So a 4th round was ordered. So then what happens is one minute you're talking to your GF, the next you're in the E.Village @ Village Yokocho eating yakitori---& neither of you know how you got there & the transit involved a train transfer. Oh & we only spent $20/ea to get completely lit. That's 1 drink @ Apotheke with a shitty tip & a minor buzz. Or 1 drink @ Raines Law Room for a teensy buzz. Or 1 drink @ Angel's Share for no buzz. You see where this is going? Are you part of the 99% kinda guy on a budget trying to impress a girl? THEN YOU NEED TO TAKE HER HERE! But remember, @ the end of the night, no still means no.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.110227273; Sentiment_Subjectivity (from 0 to 1): 0.454545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My BF takes me here when he wants to be a big spender & treat me out. I'm a lucky girl huh? A cheap good eats place that's open late with quick service. You can't ask for more than that when you're drunk & stumbling around Chinatown. If I were you though, I'd wipe down my utensils b4 using them in this place. Just a FYI.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.137373737; Sentiment_Subjectivity (from 0 to 1): 0.52020202 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Zutto is a TriBeCa gem. It's really the only thing worth me trekking to TriBeCa for. From Queens. We came here after an afternoon lounging in the sheep's meadow when we realized one hot dog wasn't going to curb our hunger. I'll admit it. I was hangry. People were fearful for their well being. Zutto completely hit the spot. Yelp check-in for free asahi? Sushi AND ramen? The most delicious pork buns ever?! Such a win. The zutto pork buns are 107x better than that overpriced ish @ momofuku. The spicy miso is $12 and delicious. It's just spicy enough. They have a selection of add-ins such as a poached egg or shiitake mushrooms for extra $$. It's a bit annoying since you can rack up the price of ramen quickly. Also, they give you ladles to eat with. Great for groups, families, 1st dates, and break ups. You can cry your tears into the delicious soup.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.274166667; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It is UHMAZING! I've already told countless people about Sunny & Annie's "Pho Real" sandwich since consuming it on Thursday. The night was preceded by drinks @ Death & Company & the sandwich was the cherry on top. I woke up the next day & immediately remembered the sandwich amongst my hazy recollection of the whole night. It's a sandwich, that by sheer creative genius, tastes just like a bowl of pho. A GOOD bowl of pho, not the overpriced artsy fartsy versions @ certain establisments (Baoguette, Pho 32). It tastes like pho my mom made on Sundays, so warm & homey. It is definitely on my return list for sure but will definitely request light sirachi. The 1st bite lit my tongue on fire.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.27244898; Sentiment_Subjectivity (from 0 to 1): 0.557879819 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Disclaimer:: I didn't get to eat here. Review is for service. After making a RSVP for 7 ppl & showing up on time, we proceeded to wait at least 45 minutes. The hostess continued to reassure us that our table was opening up. LIES! Granted, it was a Thursday at prime dinner hour.....but we had a reservation. The place itself is great for counting trendy, hipster Asians, not talking to your friends (bc the place is set like a club), & looking pretty.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321666667; Sentiment_Subjectivity (from 0 to 1): 0.743333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is a solid pick!  On a sunny Monday in mid-October, the restaurant was full of people.  While the tables were occupied, the turn around was fairly quick.  With a hospitable, friendly wait staff, I did not feel rushed.   I enjoyed the Greek Salad.  Although modest and simple, the freshness was definitely apparent.   I will go back again -- from what I have heard, the savory pies are to die for.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.170833333; Sentiment_Subjectivity (from 0 to 1): 0.395714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a wonderful Greek restaurant!  We had to wait an hour to get a table, but it was worth it.  They make every classic Greek favorite you could possibly be craving.  Everything we ordered came out tasty, fresh, and delicious.  We also enjoyed the cozy atmosphere and the super nice and accommodating staff.  The waitress was honestly concerned about how long we had been waiting.  She checked in with us and offered us a place at the bar to stand and drink while we waited for our table.  They were just absolutely wonderful and the food was great!  We will definitely be returning!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.391666667; Sentiment_Subjectivity (from 0 to 1): 0.635185185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 husband and I will not be returning.  My husband ordered the spicy pork ramen and the tuna donburi... he spent the night with agonizing stomach pains, vomiting, and a fever caused by food poisoning.  I had eaten the veggie spicy ramen and was luckily unscathed.  Take the "C" rating on the door seriously.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.033333333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hello greasy, delicious Sicilian style pizza!  Seriously, there is no other pizza I have tried in New York that is as satisfying as Artichoke's pizza for such a great price!  The Sicilian style has a 1/4" thick layer of crispy goodness on the bottom of the crust that makes it exceptional.  Their New York style is just as good with a crust that has a crispy bottom and thick, chewy center.  I had the artichoke slice, which was delicious!  The flavors and fresh toppings were perfect!  I also ordered a draft beer which was served in a 32 oz. cup!  It was a lot of beer!  I can't wait to go back!  My only complaint was that the East Village location only has a couple of spots to stand or sit right outside the restaurant.  It was hard to manage a huge beer and huge slice of pizza with no space (it was pretty crowded when I was there).  I will try a different location or order take-out next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.221878865; Sentiment_Subjectivity (from 0 to 1): 0.609933519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since I am a pescatarian and pregnant (pregnant women are not supposed to eat raw anything these days), I had a hard time at this restaurant.  There were only a few items on the menu I could choose from.  I ended up eating the "grilled brook trout with artichokes, green garlic, and pistachio" for my entree, which was really great.  I had the "bread & butter with sea salt butter and whipped lardo" on the side, which was nothing special (I didn't eat the lardo).  The best part of my meal was dessert.  The "corn ice cream pie with mango and thai basil" was dynamite and worth saving room for!  It was a very creative dish and really fun for my palate to explore!  Without the dessert, I wouldn't have been that impressed with this restaurant.  Especially since this place is rated as the 37th best restaurant in the world (I had high expectations).  Overall, we had a great dining experience.  The staff was nice and I liked the breeze that came in from the opened garage door.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.355303506; Sentiment_Subjectivity (from 0 to 1): 0.5578397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was great!  I loved watching the chef in the back hand-pull the noodles as each order was posted.  We had a noodle with broth and a pan fried noodle.  Both were yummy and fresh tasting!  For the price, you can't beat this place!  We will definitely be returning.  The only bad part of our experience was a lack of booze, okay service, and a not very appealing environment.  I think next time we will order take-out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177644231; Sentiment_Subjectivity (from 0 to 1): 0.510128205 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Whiskey and cheese curds!  What more could you want?  This restaurant is fabulous.  They have an array of inexpensive, yummy bites and  wonderful down-south inspired entrees like "Chile marinated shrimp with sweet corn-hominy grits & scallions".  The menu is accompanied by an amazing whiskey list.  For those who don't like sipping on the whiskey, they have delicious cocktails to choose from.  We loved the cozy atmosphere and the friendly service.  This is one of our new favorite spots!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.498760331; Sentiment_Subjectivity (from 0 to 1): 0.77768595 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Zutto offers mediocre sushi, but delicious everything else!  I would return here for the ramen, small plates, and sides, but not the sushi.  If I want good sushi, I go to Nobu Next Door.  The small plates we ordered were outstanding!  I had the "portabella steamed buns" (melted in my mouth), "shishito peppers", "silken tofu" (delicious), "wedge salad" (excellent toasted sesame dressing), and the "Gulf of Mexico" roll (so-so).  I loved the casual, Japanese bar atmosphere and friendly service!  I cannot wait to return for the "portabella steamed buns", yum!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.324323382; Sentiment_Subjectivity (from 0 to 1): 0.60297619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 may have been rainy outside, but Snack was cozy, toasty...and Greek! I arrived just-in-time to snag a warmly-lit window seat and avoided the dinner rush!   The super-friendly waitress kicked things off with a flight of savory spinach and cheese pies.  For my main, the veal meatballs made fast friends with prunes and a red wine reduction.  I washed it all down with a cup of honey-spiked tea.  I'll definitely have to hit this mediterranean oasis again! (I'm curious about the iced, Greek coffee.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.008888889; Sentiment_Subjectivity (from 0 to 1): 0.352222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bahche is a sweeping essay in fire-red  brick, glittering glass  and night-black iron. Set back from the street, it really is a hidden Gem. The staff are really friendly, and they helped me find a seat among the lunch-time bustle  of families, laptop table-squatters, and local-business workers. I ordered the flavorful cheddar-burger on brioche with fries, and I paired it with Bahche's house lemonade. The two-story windows let in enough light to make it almost feel like Summer time! I can't wait to kick back with a glass of Red and some hand pies on their front patio when the weather warms up!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.101190476; Sentiment_Subjectivity (from 0 to 1): 0.29047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 need to go to Canada to enjoy my favorite Fall-day food. I can perch myself outdoors on one of Pomme Frites' tall n' sturdy chairs ; warming my hands with a hearty cone of curds, 'taters n' Gravy. Poutine! (Oh Canada!) Some other sauces that take me over the border are their Smoked Eggplant Mayo, Parmesan Peppercorn and Irish Curry. The smiling Frite folks will hand you free samples to help you find your favorite.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326041667; 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: It was Fashion Night Out, and I'd just tottered out of a swirling, drink-fueled crowd at the McQueen store.    I crossed the sidewalk to the warm and loving hum of the Red Hook Lobster Pound's truck .  Butter-toasted rolls, light slaw and generous chunks of freshly-boiled lobster make this sandwich the must-have accessory (and snack) of the season! Tip: You can fit two lobster rolls snugly into a McQueen, studded Britania Clutch! (Mind the Mayo.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.44; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Empa-na-na-na-na-na-nadas-das! I'm quite sure Axle Rose once ordered empanadas to the tune of "Welcome to the Jungle", but I digress. Unlike Axle, I didn't have a roadie pick up my empanads; I had them delivered. The potato n' bean-filled veggie empanada paired very nicely  with a zesty chorizo empanada. It was a full meal wrapped in chewy, corny goodness! I rounded-out my selection with a Belgian-themed chocolate and banana...empanada. Empanada Mama's hot, fast and tasty!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.516785714; Sentiment_Subjectivity (from 0 to 1): 0.81984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 warm n' welcome Mexican outpost in a desert of hair salons and bodegas. It's got some of the best tacos I've had on this side of the Mason Dixon. Outside, long raw-wood benches let patrons wait for subway-trapped friends, soak up some sun, or simply enjoy their dinner under the  stars. There's a sprinkling of cafe tables and a short bar dotted around the warmly lit interior. Slightly off-hours are best, 'cause the seats fill up fast with patrons and delicious kitchen aromas. The counter-folks are friendly and funny, and they look like they're having...fun with their  new restraunt!   What did I order? The fried catfish taco is firm, flakey and refreshingly...not breaded. The pulled pork taco is a robust and spicy treat. Their house Chorizo simply sings. Dios mio, I only wish they were wrapped like the sturdier two-tortilla models i enjoyed in Texas. A solid Mexican and Texan beer selection make this little shop a solid choice for lunch or dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262136995; Sentiment_Subjectivity (from 0 to 1): 0.451181457 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Exploring SOHO and after searching for what felt like an eternity for non street vendor food we stumbled on this gem. Saw all those great reviews on their store window so decided to go in. This small little resto impressed with big flavours and fresh ingredients. Ordered their lamb sandwich (so yummy) and chicken slovaki sandwich. I wish we had a place like that here in Toronto.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.151785714; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG this place is amazing!  I walked by and the smell drew me in. I'm so glad I tried it as it is the best street food ever. I got the mixed combo (chicken and lamb) and it was done perfectly. The rice was so aromatic too. And don't get me started on their to-die-for white sauce. If I lived in NYC I would be there every night.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.378571429; Sentiment_Subjectivity (from 0 to 1): 0.628571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On a Friday night, my boyfriend, my roommate, and I were craving Greek, so we were excited to find Snack was so close to us. We got worried when we noticed that the whole restaurant was 4 or 5 tables, but luckily they were able to seat us right away. We ordered tzatziki to start, I got the avgolemono as my meal (wasn't too hungry), and both my roommate and boyfriend got the lamb stifado. The boyfriend had been eyeing the boneless lamb rib, but the server told him if he was hungry, it probably wouldn't be enough food. We also had baklava for dessert. The tzatziki was definitely five stars. Creamy, flavorful, and served with soft pita triangles fresh out of the oven. Even better, our waitress refilled our pita basket several times when we asked! The avgolemono was also really good and had lots of lemon to it, although I would have liked a bit more orzo and more than two bits of chicken in the whole bowl... Both my roommate and boyfriend loved the lamb stifado. The lamb was tender, perfectly seasoned, and the portion was generous. It also came with a delicious rice pilaf. The service was also very friendly, and you could tell our waitress knew the menu well. The only reason Snack doesn't get five stars is their baklava. While it was a pretty big portion, it was really dry. All in all, I'd definitely go back, but I don't think we'd get the baklava again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.263514109; Sentiment_Subjectivity (from 0 to 1): 0.542372134 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Take my advise and order anything from here and it'll be good. But whatever you do, please order the Greek style iced coffee. Please. OMG. Heaven on earth.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.35; 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: Joju and I have a great relationship. I like Joju because it's good, cheap, fast, and the people that work there are always friendly. Joju likes me because I come often and spend money. I love the BBQ pork and the bulgogi. Get them spicy. Love the Vietnamese iced coffee, too. Make sure to get the stamp card. You can get a free bubble tea after 5 stamps, and a free sandwich after 9 stamps! What's there not to like about this place?; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.4875; Sentiment_Subjectivity (from 0 to 1): 0.683888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap late-night falafel. NO ONE can say no to that. Falafel sandwiches are $2.50. What can you find that good for that price in Manhattan? Red sauce, red sauce, more red sauce! That's how I like it, but please don't kill yourself. They're not the BEST falafels I've had in my life, I'm sorry, but better than a lot of places. And again, the price beats everything. Oh and the business hours. Don't forget to bring cash!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.302777778; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AMAZING food. The lunch box is especially amazing. You can literally taste a bit of everything! And the dessert.. God bless Japanese people! I also loooove the Uni Tororo as an appetizer. You'll love it if you love uni. However, it loses one star for the price. If you want to order an appetizer too, you should expect around $50 for 2 people for lunch.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.383333333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmm, well, I expected more of this place. But maybe this is as good as NYC donkatsu gets? I don't know. But it wasn't even that "surprising(ly big)" as they claim to be, nor was it amazingly tender and crispy either. It was just an ordinary katsu, which I'm not complaining about, but I don't think it was the best katsu I've ever tried or anything. An easy place to go to, but slightly over priced.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.301851852; Sentiment_Subjectivity (from 0 to 1): 0.477777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I go back to this place over and over. And I never get tired of it. Combo over rice, check. A LOT of red sauce (cause I love my food extremely hot) and enough white sauce to balance it out, check. A nice seat by the water fountain, check. There's a $6 happiness for you right there.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.193571429; Sentiment_Subjectivity (from 0 to 1): 0.438571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grand Slam = Pork katsu + chicken katsu + shrimp tempura + curry + rice + sausages + boiled egg + salad = $12.50. And it tastes good, REAL good. What more can one ask???; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.42; 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: Omg, the soft-boiled eggs???? What?!?! The only thing is, they seem to have different special dishes with the soft-boiled eggs everyday. The first time I went, I got the eggs with ham, homemade tortillas and salsa. I fell in love, so I went back again, but they said they only have that on some weekends. So I was saddd. But everything there is REALLY good. They've got such unique tastes, nothing like what I've tasted before. They sometimes have these amazing fruit salads, too, and I really have no idea what makes them so good, but they certainly know how to play with different flavors of their fresh ingredients. Oh and also, awesome coffee! Mmm I just love this place. Makes you feel good. It's the best way to spend your weekend mornings, I promise!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.301746894; Sentiment_Subjectivity (from 0 to 1): 0.638095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious! And cheap. How AWESOME. Found this place by a random chance, thanks to you guys, and I had a great time there. Got a bottle of Orion with the food and I was happy for the rest of the night. Personally wasn't a fan of their yakitori. The grilled pork belly is a MUST, and so is the ochazuke. Order a bowl of Tonkotsu ramen after you are slightly buzzed from the beer and your night is complete. Get there a little early to avoid the line (around 5-5:30)!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.297569444; Sentiment_Subjectivity (from 0 to 1): 0.568055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The wait is long, so what? At least they let you grab some Japanese beer at the bar while waiting. It's expensive, so what? It's the best freakin ramen in the States! I won't make this review long because there are so many reviews on this restaurant anyway. Akamaru Modern - MUST. GET. With an egg, of course. Tori Ramen - If you want something else. Very clean taste. Chicken broth tends to make me feel gross afterwards.. Not this one! Pork Buns - W...t....h.... WHY SO GOOD?!?! You must get this. I don't care how full you'll be from the ramen. This is a must. I have yet to try their desserts.. But this place is as close as New York will EVER get to a real Japanese ramen. And I will forever love this place.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.166439394; Sentiment_Subjectivity (from 0 to 1): 0.441534091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. They do not have the chicken potato butter bean salad for dinner, which I was craving, but the upside is I got to explore other parts of the menu. Like the gigantes bean salad. I could eat a double portion of that with some pita for dinner. The flavors here are fresh and delicious, and their pastitsio is like a favorite memory - beef and mac and cheese wrapped in cream and nutmeg and cinnamon. Upscale comfort food. I had the little shoe, which is like the vegetarian mousaka plus ground sirloin. I love this place - it churns out really heartwarming meals. I just wish it was slightly less expensive.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.083712121; Sentiment_Subjectivity (from 0 to 1): 0.535606061 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my go to for an upscale prix fixe lunch. It's wonderfully romantic, over the top decadent, and is a special moments place. My favorite dish is the crab truffle flan. Absolutely to die for!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.321428571; Sentiment_Subjectivity (from 0 to 1): 0.694285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything here is delicious from the jamon iberico to their fine selection of meats and cheeses. It's like foodie heaven. Recently I had a lunch here of the despana sandwich and the churros y chocolate. Perfect. Not much seating but it's not designed to be a restaurant.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.463333333; 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: This place makes comfort food and serves it quickly and with a smile. I have yet to have anything that was bad here, although the mac n cheese is kinda tasteless. The Weds fried chicken is downright delicious, as is the chicken sausage brunch. I've never had to wait very long for a table here, and the service is incredibly quick and professional. I love this place!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.011515152; Sentiment_Subjectivity (from 0 to 1): 0.616969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a faithful customer who refers others to Artichoke since their opening. But the artichoke cheese pizza is kinda gross. And they've been steadily downsizing the size of the Sicilian pizza and I've noticed that a burnt pizza is almost the new standard. Plus their service is getting ruder. A few weeks ago, I put in an order online (new feature), and everywhere I had the option, I specified that it was for pickup. I even put it in the Notes section. 15-20 minutes later I called to see when I should pickup the order (something that I routinely ask when I order over the phone,) and the woman was so confused. She fumbled around, and then finally said that the order had just come in, so I should go in 40 minutes. Later, we walk towards the pie shop and we're almost there when we get a call from our doorman saying that there's a pizza delivery for us. One of us sprints back and gets the pie from a deliveryman who is sitting there looking at the delivery order that has a "NOTE: pickup" on it, wondering why they gave it to him to deliver. I'm walking home calling Artichoke asking for an explanation of why the pie was delivered even though I confirmed at several points that it was supposed to be picked up. The owner dives in on the conversation and blames me for ordering online, he blames me for checking in via phone. He is extremely unapologetic, even accusatory towards me. At one point he admits that it's a website glitch (ie, if you order online they will deliver even though there is a checkbox for delivery and I put in a special note that it was for pickup) that needs to be fixed. After a few rounds of back and forth, he asks me what I want. I say I want an apology. He says, I can't give you an apology, I have to check the delivery order first. I feel like he's calling me a liar and tell him that I generally love their pizza but their customer service stinks. He says he'll check the delivery order and call me back, that they call all customers back to check on their satisfaction. Of course, I walk home and find the delivery order with my note on it. The owner never calls me back. And guess what? I've never gotten pizza from them since, and probably never will.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.0217307; Sentiment_Subjectivity (from 0 to 1): 0.313077201 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came here over Labor Day weekend and Didier was not in. Perhaps that accounted for the mushy skate that I had. The vegetables on the side were tremendous - probably the best part of the meal for us. Like candy but nutritious. We will come back again, but when Didier is there.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.444444444; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really like the guac. Tacos are tastier than burritos. But what's up with not taking phone orders? Even Nicky's bahn mi takes phone orders. I'm a little less in love ...; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.086458333; Sentiment_Subjectivity (from 0 to 1): 0.341666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fast, convenient, and reasonably priced, I give this place a 3.5 (rounded down for lack of ambiance.) Sometimes I have stomach pains after eating here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.081481481; Sentiment_Subjectivity (from 0 to 1): 0.496296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I thought this place paled in comparison to Soba Koh and Soba Totto, although the portions were larger. I had the cold duck soba and tried my friend's tem soba, which had tasty tempura shrimp (one of the better tempura shrimps I've had in a while.) The duck was hard to chew and stiff, which really took a fair amount of delight out of the equation for me. The broth was alright, but 16 dollars for noodles and 5 pieces of tough-to-chew duck and $18 for tempura and noodles seems expensive. Also, if I hadn't already eaten a bbq dinner 2-3 hours beforehand, I would most definitely still be hungry. Maybe I have yet to understand the true appeal of soba because every time I go to a soba place, no matter how highly rated, I just look mournfully at the small portions. For my money, I would rather have pho or ramen any day of the week.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.042619048; Sentiment_Subjectivity (from 0 to 1): 0.571666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here for brunch because it had good reviews. FAIL. First they stuck us in the section with the screaming kids after a significant wait. Then they brought the wrong dish. TWICE. And once the food arrived, it was bland and tasteless. Needless to say, we won't be back. Overpriced, bland, and not very filling. That's something I don't need to pay for.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.109848485; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: These are the best macarons I have ever eaten and I've eaten a lot. that said, I timed my wait from joining the line to paying for my macarons, and 1.5 hrs is kinda insane. Still worth it, though I'm not sure I would wait if it was 3 hours. The staff are friendly and helpful. But please install a macaron camera so that we can see how bad the lines are! Like a Shake shack cam, but just for macarons. It would help us fanatics who want to buy more macarons but are freaked out by your lines - I think the news said that you had 3-4 block long lines over the holidays!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.0015625; Sentiment_Subjectivity (from 0 to 1): 0.544444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars for fluffy meatballs. The price kinda makes me wince though - it's about two dollars for 1 meatball. Which is sorta painful when you realize that eating one order of four meatballs is not going to fill you up. It's pretty good with the sauce though.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.0125; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmm, delicious fatty pork pillows w/ the toroniku ramen. The broth is still kinda thick for my tastes, but I love the toppings that come with it and the mu-er is really good and chewy. I like the broth best with a splash of shoyu. The place is teeny tiny though.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.385714286; Sentiment_Subjectivity (from 0 to 1): 0.553571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 price is as good as it gets in this are for lunch, and the cilantro ginger sauce is delicious. I made this place my lunch mainstay until I had one not so good chicken buckwheat noodle salad, but I would still come back here. The steak plate is also great, although slightly chewy. What I like least off the menu are the wonton and noodle soups - they taste sorta gamey. Better off taking the walk to Chinatown for authentic wonton noodle soup.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.313333333; Sentiment_Subjectivity (from 0 to 1): 0.571666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to come here before the place expanded and they increased the price for dumplings, but it's still good, and still crazy cheap so I can't begrudge. In addition to kickass dumplings, they have delicious pancake sandwiches and a meat bun full of juices. Sorry, I forget the official name for it but it's not the xiaolongbao, it's a big flat, circular bun bigger than a hamburger patty. So messy to eat, you're almost guaranteed to drip juices down your shirt but so deliciously worthwhile.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.122453704; Sentiment_Subjectivity (from 0 to 1): 0.555324074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Updated review - I have been back several times for dinner and once for brunch (never again) and I'm starting to get really annoyed by the cramped seating and long wait (minus 1/2 star). Minus another 1/2 star for the brunch, which was not worth it. Total: 3.5 stars. Brunch was truly uninspired, and most people I saw who had made the mistake of ordering the pear cinnamon graham pancakes did not finish them. They tasted weirdly fermented, and there were barely any pears on them (making it a really bad value proposition.) I had decided to come for brunch because I was sick of the lines at dinner, but I will never make that mistake again. Stick to dinner if you decide to go - it's comfort food at a certain price point. I still think the fried chicken and shrimp and grits are the best items on the menu - I remained very hungry after ordering and eating the truffle chestnut ravioli, which is not very substantial.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.0975; Sentiment_Subjectivity (from 0 to 1): 0.444761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 afraid I have to agree with the previous poster who said that it's  going downhill but I would like to hope that it was just a down night. First, the corn they gave us was midget sized, like 4 inches, and half of the corn stalk was shriveled and inedible. It was like baby corn. I've been here numerous times and this is the first time they totally cheaped out on corn, which if you consider that they can get 3 for $1 in the grocery, they already score huge profit margins. If you have a piece of corn that's half inedible, scape off the edible parts and use it in another dish, don't give me half a piece of corn and charge me full price. Second, they forgot my drink order. Third, I asked for no jalapenos and the person taking my order made a point of saying that they would put a note in about no jalapenos. Guess what I got on my pulled pork? Jalapenos. Also they got rid of horchata at the take out place, which is a big downer. I'm going to give this place one more shot but if it continues to go downhill, there are tens of thousands of other restaurants in NYC. And if I have to grill corn myself and slather cheese on it I can.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.011928105; Sentiment_Subjectivity (from 0 to 1): 0.364542484 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 1.5 stars. So far I'm unimpressed with the chaos that is Eataly. It's kinda like Walmart, only pricier and way less organized. I've been to Costcos that have better layout. And let's talk about the prices. I can buy the same grana padano and Parmesan for far cheaper at Italian shops downtown. The one thing I really wanted - salumi - they were out of. So now I'm eating the limoncello babka which is straight up terrible, and regretting my misused time and money. The only redeeming factor is the tiramisu which is about on par with what my friend can make. And hopefully the pastas that I bought. But as my friend said, it's probably all overpriced and overhyped and not very tasty. Oh, not to mention, the takeout line is also ridiculous.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 3.97e-18; Sentiment_Subjectivity (from 0 to 1): 0.57797619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Margon is pure deliciousness. The setting is like a cafeteria or diner but the service and the food are full of heart. The last time I was here was years ago. I came back a few weeks ago after my dental appointment, and it's just as good as it used to be. Totally packed at lunchtime though - take your sandwich/ fried chicken bits to go.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.058035714; Sentiment_Subjectivity (from 0 to 1): 0.439583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 may have gone downhill from the old place, but having gone there for my first (successful) trip on Monday, I will say, "wow. If this is Kefi in decline, other places in NYC should be so lucky." The mussel appetizer had amazing fresh flavor with really sweet juicy mussels - not a bad one in the lot. The broth was intense and complex, and even more flavorful than the mussels at Resto in its heyday. The sheep's milk dumpling with lamb sausage were also phenomenal. I saw it on a taxi tv report and couldn't get it out of my mind, tried to come here 2 weekends ago - MAJOR FAIL since no reservations on a Saturday at 8p. The wait was quoted at 1 hour but really looked like 1.5-2 hours given the incredible amount of people waiting from the stairs on the inside to the entrance. Came at 6pm on a Monday with reservation and just beat the rush. And I will be back, regardless of what a pain it is to get there when there's no C, B, or D trains.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.240570175; Sentiment_Subjectivity (from 0 to 1): 0.563596491 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reasonably priced and tasty handpulled noodles. But the space is tiny and cramped and there's no AC. However you can watch the noodle man at work. This is a strictly in and out operation - slurp your bowl, pay, and make way for other hungry patrons.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.045; Sentiment_Subjectivity (from 0 to 1): 0.551666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had the salmon and salmon roe over rice. At first the rice was too moist because the roe had burst, but then as I was eating, I felt this great calmness wash over me. It was a very zen moment. Slightly pricey and the service is only so-so but I would come back, especially if someone else is paying.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.154761905; Sentiment_Subjectivity (from 0 to 1): 0.507142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tasty comfort food in a homey, relaxing environment. Unfortunately the space is somewhat small, so a wait at brunch or dinner can be 1.5-2 hours. The calamari salad is amazing.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.05; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is still good, though $4 for a very small bun isn't worth it. Come here for the classic Hakata ramen, but expect lines of 1 hour minimum if you have a party of two or more. The service is not as good as it was when it opened, or even a few months ago. Part of this has to do with the new hostesses. They have a hard time pretending to care that you just waited 1-2 hours in the cramped lobby. The old hostesses were very gracious and actually were apologetic about the long wait times. Normally I wouldn't care so much about the hostesses' demeanor but you will probably spend more time in the lobby/bar than you will eating. I hope the lady owner comes back and sees how things are run in the front of the house.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.163903743; Sentiment_Subjectivity (from 0 to 1): 0.34899287 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good place for take out as the tables are tiny and I'd rather not rush my food. The bread is perfectly crispy and their mozz and prosciutto sandwich paired with a daily soup is one of the best under $10 lunches in the area.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.54; Sentiment_Subjectivity (from 0 to 1): 0.48 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 salad special (poached chix, goat cheese toasts, tom, eggplant, etc etc) was SO GOOD! The dressing is tasty enough to make anything delish. Cute (and tiny) place, too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.346428571; Sentiment_Subjectivity (from 0 to 1): 0.634285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good food; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.91; Sentiment_Subjectivity (from 0 to 1): 0.78 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just got back to my desk, I can still taste the insane goodness that was the highly recommended lamb sandwich. I know, I should wait until the spell has worn off to review my lunch. I don't care, THE WORLD NEEDS TO KNOW. Get the lamb. Just do it. $16 for lunch for 2 people, we split the lamb sandwich (how many times can I say 'lamb' in this review?) and the tzatziki with pita. The sangwich was perfect. The aioli was unlike any other I've had, though I'll admit I don't eat enough Greek food. It had some bite, so the tzatziki was a perfect, cooling accompaniment. Don't have the same complaints about it being a tight space since we sat on one of the 3 benches outside to enjoy the day. I definitely think take-out is the way to do lunch here. lamb lamb lamb. (7, and those 3 count); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.125459184; Sentiment_Subjectivity (from 0 to 1): 0.455408163 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. It is my go-to pasta joint, and not just in Crown Heights. Friendly, helpful service. Fresh pasta and sauce. Great for accommodating groups. Small but varied wine list. I'm not even forming sentences. Franklin Ave has a few killer kale salads going for it, and the kale Caesar here is one of them. Sometimes overdressed, but the kale stands up to it. The slow cooked tomato based sauces here are delicious, but I tend to return for the butter/sage and the lemon sauce. Lip-smacking good. Finally, never underestimate a good tiramisu. I know it can be hard to save room for dessert (the portions are so generous here that I usually split my pasta), but it is cheap and huge and so well done. I know it won't be easy, but I have faith in you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.269791667; Sentiment_Subjectivity (from 0 to 1): 0.6046875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 decided to try out Paprika for a last-minute date on Friday night. At 8:15 I was able to get a reservation for two at 9:00--on a Friday night! This scored points with me before I even walked through the door. The points just kept coming after we arrived. Despite the out-the-door line of [oddly attractive] twenty-somethings, we were escorted right to the bar to start on a very reasonably priced Chianti ($29 bottle). Not even halfway through that tasty glass we were at our table. I can't think of a single flaw in our meal. My date had the pappardelle with oxtail ragu. This took bolognese to an new level--slow braised oxtail accompanied by a perfectly sweet tomato sauce. I'm not sure if the pasta was made in-house, but it certainly could have been for how delicious it was. I had the gnocchi with pancetta and kale. This also had a wonderful red sauce, and the pancetta was cooked so well--it added a nice crunch to my gnocchi, which is otherwise a texturally monotonous dish. The sauces were so good we were happy to use the yummy bread provided at the beginning of the meal to scoop up every last drop! The service was great, the prices were reasonable, and the food was delectable. Highly recommended, 4.5 stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.400522898; Sentiment_Subjectivity (from 0 to 1): 0.646133136 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is a tiny restaurant tucked away in the village with a dim, casual, and cozy ambience serving authentic Greek food. It's more of a take out style Greek restaurant with table service. By night, candles appear on every table, and a separate menu for dinner is served that's not available during the day. The waitress had to pull out the table, also very tiny in order for me to sit on the inside without disturbing the table next to us. Even if you're a double zero you can't fit through the space in between the tables, which are only inches apart. There's no privacy, I heard everything loud and clear from left and right. Since it's such a small space, the waitress is constantly by your side and making sure if everything is all right. We enjoyed our meal with soda from Boylan (100% natural) and Greek fruit juice. Every dish has a nice blend of fresh ingredients. 1. Tzatziki - Greek yogurt dip with crunchy shreds of cucumber, served with warm pita. 2. Spinach Pie - More like a thin triangular hot pocket than an actual pie, flakey crust, and the right amount of filling. 3. Greek Salad - It's still a salad, not much to say. 4. Vegetarian Mousaka - Eggplants, mushrooms, potatoes with béchamel sauce, like a vegetarian lasagna. 5. Braised Lamb Stifado - Flavorful and tender lamb with tiny sweet onions comes with currant, apricot and almond pilaf (flavored rice).; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.102678571; Sentiment_Subjectivity (from 0 to 1): 0.471984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 best for you to make reservations and confirm with them 2 days in advance prior to your dining date. I made a reservation for a weekday lunch at 11:30 AM when they open. We were one of the first ones there and the dining room slowing filled up during our meal. We were out at 2 PM. We had the lunch 5 course tasting menu for $55 and it took 2 hours and a half. The menu has a good amount of options and we each order something different to sample more of the menu. Some of the items we tried were: 1. Chilled cape cod wellfleet oysters - It was very light and refreshing especially with the kiwi slices on top of the oyster. 2. Blini of scottish smoked salmon - I like salmon and I like honey and this appetizer had both, so I definitely like this. 3. Black cod marinated with pistachio miso - The taste was very light and flavors could be stronger. 4. Porcini flan - I like the Dungeness crab in this, but not too sure about the rest. 5. Organic long island duck - I thought this was quite ordinary. 6. Slow braised kobe style beef cheeks - This had some gnocchi in the dish and the flavors were weak. 7. Chilled rhubarb soup - This is pretty refreshing. 8. kingston, ny white peach soup - Also, very refreshing. 9. Hot valrhona chocolate soufflé - The cake was light with the right amount of sweetness. 10. Hot caramelized anjou pear- This was a very unique dessert. Aside from the tasting courses we also got to choose from a variety of bread, 2 amuse bouche which were ok, mash potato & fava bean sides that was good, and petit fours that had macarons, chocolates, & other goodies. Overall, I thought the food was just okay. The presentation was nice, the ingredients were top notch, and the service was efficient. Some dishes were unique and interesting. The taste was good but could be improve. I enjoyed the dining experience, but wished the food could've stand out more. The food didn't left an impression where I would want to come back. For the price it was worth it. I know for the dinner menu, which is very similar is triple the price. For me to give 4 stars to a restaurant I would want to come back, but since it didn't I can only give it 3 stars.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.26468502; Sentiment_Subjectivity (from 0 to 1): 0.568707011 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bought the groupon for this place and it was well worth it. I had the well-known surf and turf dish. Where there are 2 pieces of lamb chop and a skewer of shrimp. The lamb chop was overcooked and was very chewy. The shrimp was cooked a lot better. For dessert, I had the rice pudding. It was really delicious and I thought the portion was kind of small. I wish the portion for the rice pudding was bigger. I was tempted to order another one. It was that good.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.38125; Sentiment_Subjectivity (from 0 to 1): 0.5375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had the vanilla bean French toast and I thought it was okay. I thought the French toast was too soft and when you add the syrup it made it mushy. There's 3 big pieces and you can definitely get full from it. It was too much for me to eat all 3 pieces. It's better if you share this dish.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.183333333; 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: CASH ONLY! Friday night, around 5-6 PM, 50-60 degrees, and there I saw a mini line outside Totto Ramen. Luckily, I only waited 15 minutes. This spot is not for claustrophia people because this place is cramped and they use all the available space they can. I don't think you can fit more than 15 people in here. There are a few tiny tables (and I mean tiny) in the back, we were seated at the counter facing the kitchen and saw the magic of ramen preparation happened before our eyes. The ramen are priced on average around $10 (if you're paying more than $10 for ramen then something is wrong *cough* *cough* Ippudo), extra toppings are $0.75 to $2.00, and sides are no higher than $4.50. The ramen... one word, three syllables, DE-LI-CIOUS. We had: 1. Totto Chicken Paitan Ramen - Big bowl of smoothing broth, thin ramen, big pieces of pork char siu, topped with scallions, onions, and a nori. 2. Totto Miso Ramen - A miso broth, bean sprouts, seasoned hard-boiled egg, and ground pork. 3. Char Siu Mayo Don - Tasty flavored Japanese rice topped with char siu pork, mayo, and scallions. 4. Spicy Bamboo Shoot - Very spicy and adds a kick when you mix it into your ramen.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.019270833; Sentiment_Subjectivity (from 0 to 1): 0.461979167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Moto is an experience, but not a dining experience. The food was seriously mediocre food. We had: Appetizer 1. Marinated Mushrooms - Terrible, I rarely use the word terrible, but I don't know what they did to the mushrooms to make it taste so bad. 2. Whole Steamed Artichoke - Eh... just steamed artichoke dipped in some plain sauce. Soup 3. Spicy Tomato Soup - Not bad, I like the texture. Entrée 4. Chicken 'dijonnaise' - I recommend this dish, light taste but could be better. 5. Steamed Mussels - Again, terrible, I used the word terrible twice in one review, which is super rare. 6. Lamb and potato dish -This was actually really good. Dessert 7. Date cake - I would come here for their dessert, which was really good and skip the rest. Again, this place is an experience and not a dining experience. If only the food could be better this place would be five stars. Very cool spot. I came for dinner, so I don't know how well this place does for breakfast and lunch.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.063797619; Sentiment_Subjectivity (from 0 to 1): 0.762607143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walked in on a weekend and was told there's a 2 hour wait and I was bewildered. Are you serious? And I was one of the crazy people who waited. The system is pretty neat, you put your name and number down and they will text you when the table is ready. So instead of waiting outside we decided to go to soho and shop. After an hour and a half our table was ready. We ordered the pancakes of course, it was just good and not mind blowing and it was definitely not worth the crazy wait time. However, the syrup is really really good. We also ordered the black angus cheeseburger, it was also just good only.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.038518519; Sentiment_Subjectivity (from 0 to 1): 0.553703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Le P'tit Paris Bistro is such a lovely restaurant and perfect for an intimate dinner. The food was really delicious. We had: 1. Mussels with garlic & white wine 2. Pan seared sesame crust tuna, wasabi mashed potato, julienne vegetable 3. Braised lamb shank in tomato brother with mushroom risotto 4. NY center cut strip steak, potato gratin, tomato provencal, string beans 5. Roasted stripped bass, sautéed spinach and potatoes, lemon beurre blanc; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.30625; Sentiment_Subjectivity (from 0 to 1): 0.55625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a very nice little restaurant settled in a quiet neighborhood. They have several outdoor seating that should be taken advantage of during the warmer seasons. The pasta here is quite good and on an average of $15 that is portioned reasonably. We had the spaghetti with baby clams in a white wine sauce and gnocchi of the day with shrimp in tomato sauce.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.1678125; Sentiment_Subjectivity (from 0 to 1): 0.429166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had Cha-An bookmarked for ages and finally on a Thursday afternoon I was able to have lunch there. They have different daily lunch specials everyday and I purposely came on Thursday to try their tuna steak don special. The tuna steak was medium rare with just the right amount cooked and OMG the rice was delicious! It's flavored rice not regular plain rice. The special came with their special green tea pot, which they refilled once it was empty. And with a few dollars extra you get to try out their daily special dessert. We had some sort of green tea and chocolate mousse dessert, which of course was just as delicious. It's the cuteness of the presentation that really makes this place unique. I will definitely come back here to try more of their desserts.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.172115385; Sentiment_Subjectivity (from 0 to 1): 0.480019019 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: CASH ONLY! I love this little Italian restaurant. If you're feeling for pasta this is the place to go and it is very intimate and cozy. The prices are reasonable. I came here with three of my friends, opened a bottle of chardonnay and had the following: Appetizer 1. Calamari - Nicely grilled with a salad. 2. Mussels wirg white wine & tomato - Very delicious. Pastas 3. Ravioli al formaggio - Chessy and fun to easy. 4. Gnocchi di patate - Tasty! 5. Tagliatelle crabmeat - Not bad. 6. Tagliatelle al ragu - I prefer this over the crabmeat. I recommend all the dishes we had.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.240297619; Sentiment_Subjectivity (from 0 to 1): 0.573571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had this potato dish as an appetizer. It was very flavorful. For entrée I had this stir-fry beef with peppers and onions. It came with a choice of rice or bread. I chose the bread. The flavors were amazing but the beef was a little over cooked. I would still come back and try other things on the menu. Surprisingly this place has mango lassi an Indian drink, which I order. It's a favorite drink of mine.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.241071429; Sentiment_Subjectivity (from 0 to 1): 0.510714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BCD Tofu House is a Korean chain restaurant. The first time I tried BCD Tofu House was at their location in Queens. I enjoyed my meal at their Queens location and I really like the food. I was in the Koreatown area and I knew they have a location in Koreatown, so I decided to head over for dinner. There were 7 side dishes and one of them is a small fried fish that I really like, which I only find at BCD Tofu House. I been to many Korean restaurants and they don't have the small fried fish. I had the seafood tofu stew. There were some seafood and the tofu was soft and the broth was flavorful. Definitely one of the better tofu stews around.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.159090909; Sentiment_Subjectivity (from 0 to 1): 0.462121212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sells an impressive selection of buffet style and pre-packed Korean food. You can get a fulfilling meal plus a drink for under $10 bucks and in Midtown that's a deal. I usually get the kimbap here. They are soo yummy and cheap! You get a lot of pieces for under $5 bucks!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.458333333; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a small restaurant with just a few tables and the menu is very limited. I had the red lentil soup, mix platter, turkish tea, turkish coffee, almond pudding and baklava. The soup is creamy and sour. It was ok. The mix platter consist of grilled meatball, meatball with cheese, chicken, and lamb sausage with a little bit of salad. I like that the salad was tossed in dressing. The mix platter of various meats was delicious. The Turkish tea was nothing special, tasteless, and the cup was tiny. The Turkish coffee is served in this very cool looking cup and it is very tiny as well. The coffee was very bitter, not a fan. The almond pudding was my favorite and the baklava was disappointing. I would come back for the meat and pudding and skip the rest.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 9.4e-05; Sentiment_Subjectivity (from 0 to 1): 0.52906015 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 no frills noodle shop. I had the classic beef noodle soup. Their hand-pulled noodles are made quite nicely. Each strand looks quite identical you would think they were machine made. Their noodles are on the thinner side, which is my personal preference. The broth was great especially when it's about 20-30 degrees outside. I added a tad bit of chili sauce that's on each table just to spice up the noodles a little, but no overpowering the brother. We ate in and it's not serve in plastic bowls rather actual bowls. While eating in we hear the guy banging the noodles on the surface he's working on. It was loud and it scared me a few times but afterwards I got use to it. You have been warned. CASH ONLY! You won't need a bill bigger than $10 everything is under $10.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.106597222; Sentiment_Subjectivity (from 0 to 1): 0.522222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 eat out so much that everything seems to taste the same nowadays. BUT when I went to Buttermilk Channel things changed. I came in for dinner one night and it was one of the best dinners I had in awhile. The setting is comforting. Once we were seat we were given popovers, it was tasty and warm. Better than free bread that I usually get at the other places. We had: 1. Oysters - Very fresh. 2. Maine lobster - At most places the lobsters are either just plain grilled or steamed but at Buttermilk it's nicely flavored. 3. Hanger steak - At most places you only get a piece of steak and sides cost extra but at Buttermilk there's a very good salad that comes with it.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.313169643; Sentiment_Subjectivity (from 0 to 1): 0.502321429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dinner and they jammed the 10-20 of us together at a long table. It's a very cool restaurant. It's hip, loud, and dim. We started off with a pitcher of white sangria and red sangria. Their sangria is one of the best I've had and very nicely decorated with fruits. We shared various appetizers that I forgot what we had, but they were good. I had the steak frites and it was really good as well.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.307083333; Sentiment_Subjectivity (from 0 to 1): 0.512083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I always go to Thanh Da for Banh Mi because it's much closer and their Banh Mi is really good. But since I've heard so much about Ba Xuyen I had to try it out. So on a beautiful spring day, I walked 14 blocks to Ba Xuyen to try out their Banh Mi. Yes I actually walked 14 blocks, go me! Once I arrived, I ordered the #1 sandwich and I was impressed. Compared to Thanh Da it's slightly better just slightly. But I don't think I'll make another trip any time soon since Thanh Da's make almost equally amazing Banh Mi. The sandwich run under $5 and it made me wonder why I ever paid up to $10 for a lousy sandwich in the city. For those who live near Ba Xuyen lucky you guys! You can always order a Banh Mi in the morning and eat it for lunch. That's lunch for under $5!!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.328518357; Sentiment_Subjectivity (from 0 to 1): 0.530769231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: CASH ONLY! Came back and tried the: 1. Cioppino* - Great stew consist of lobster, mussels, scallop, & shrimp. 2. Whole Red Snapper - Very good! ___________ *A classic seafood stew with a little bit of everything from the sea.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.247395833; Sentiment_Subjectivity (from 0 to 1): 0.449583333 [/INST] Not Spam</s>