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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: Nish Nush just opened its doors, and I had the chance to check it out on the very first night! The menu was promising and does not disappoint... along with the typical Mediterranean/Middle Eastern fare, there are a few things that stand out. First, you can "create your own hummus" with various mix-ins - I tried the kalamata olive version and it lent a unique flavor. There are several other options including artichoke and onion. Another highlight is the haloumi cheese salad. Perfect blend of fresh, high quality ingredients. The pita bread that comes with most dishes is actually baked in-house, so it's warm (even hot) when you get it, and tastes very fresh - it might actually have been my favorite part of the meal! To top it off, the restaurant has a very inviting atmosphere and really neat decor appropriate to the menu, with every counter and tabletop covered in real chickpeas (makes for an amazing photo-like effect, hard to describe if you haven't seen it yet...) I don't spend too much time in Tribeca but Nish Nush will be a reason to come here more often!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.272341954; Sentiment_Subjectivity (from 0 to 1): 0.500804598 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I feel lucky that the first couple of times I tried this place, there was no line. Maybe because summer wasn't yet in full swing, but I didn't have to wait more than five minutes. Also, it was so hot the first time that I went with an unusual combo - the MANGO & JICAMA SALAD and corn. I'm sure most people pass over the salads in favor of all the heavy stuff, but seriously - TRY IT. I've had it three times now. The mango is some of the freshest I've had outside of Asia! The jicama is crunchy and refreshing, and dried cranberries are a nice touch. It comes with a creamy dressing that complements it well. The corn is as amazing as everyone else says it is (also insanely messy, but isn't all good stuff?) and the pineapple ginger lemonade is unique and delish, whether spiked or not.   Aside from the food being so great, the place lends a fantastic vibe to the intersection and the neighborhood and is part of the reason I ended up moving here! I'm sure I'll be back often.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.294565217; Sentiment_Subjectivity (from 0 to 1): 0.65410628 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: YUMS! I just tried the Carp Roe and it's sooooooooooooo good! I like the Feta with Tomato too! The Combination Platter is the jam.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 1.0; 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: M suggested this place after learning that French is my all time favourite cuisine. I was a bit skeptical, only because why haven't I been here if this place is supposedly so good and I was definitely not impressed with Grape & Grain's food (another suggestion from M) M raves about their Escargot here - I must have to agree with M. Really tender and done perfectly well. However, I wish there was more garlicky goodness. Duck Confit - super moist and tender. LOVE LOVE LOVE Country Pate - didn't expect this to be so good, since some pate has a bit too much mineral taste, but this one I definitely enjoy. I do love pate, but it just depends on the taste of it. Creme Brulee - yums! Apple Tart - super soft and good, though pair with the Creme Brulee might be a bit too much. M wanted to get both. My new spot for French food! I am curious to try their moules!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.282740448; Sentiment_Subjectivity (from 0 to 1): 0.540777339 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seriously I can't keep up with YELP or places or people...so let's see if I can update one of my most favourite French restaurants in NY. I love this place...and I most definitely love their PORCINI FLAN. I can eat this for days! H and I love French food...it's our favourite cuisine! So of course I raved and raved about Bouley and how H must come here. H still hasn't been able to try this place, so I ended up taking H here - it is H's birthday after all. We both had the Porcini Flan and of course H thought it was amazing! The chef prepared this lobster dish for us...it was off the menu, but yes, the chef surprised us with this amazing dish. We both love lobster, so it was such a nice treat. I can't remember what else we had, but I remember the desserts were amazing and we couldn't stop eating. Service was excellent...once again! They even gave us a lemon loaf..one for each of us. We both love citrus too! So to sum this place up...it is freaking amazing and so is the service.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.406481481; Sentiment_Subjectivity (from 0 to 1): 0.627314815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ugh....no wonder they got rid of the Stamina for the dipping one and now they only offer it as a regular soba. Or perhaps they never offered it at this location? I ended up having to get the Chicken Meatball one and it was actually good. I got the usual Chicken Meatball steamed, panna cotta and sago dessert. S and S2 both loved it and they definitely want to come back. S got some cold noodles with Kimchee and S2 got a warm soba version.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.004545455; Sentiment_Subjectivity (from 0 to 1): 0.611538462 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have never wanted to come here due to the lack of interest of the menu during the times I checked. It was only recently their menu has appealed to me, unfortunately they had no reservations during the time when I was loving their menu. I got a reservations for a new menu, less interesting, but good enough for me to try this place out. I never knew how booked this place was, because seriously is this place this popular? I want to say the ambiance and the decor looks totally different from the outside. You would not expect this magical and alluring atmosphere. I love the chandeliers, the lighting, the petite flowers that decorated each of the tables. Lovely. We shared the line caught tuna sashimi - four pieces! The first piece, I didn't get much of the sauce on the first piece, but the second piece, I drizzle the sauce on top and it was much better. I love this sauce, it was spicy and full of flavour. H complained about the teaser and thought the pieces were a joke. H got the Grilled Salmon - I tried it and I still do not care for cooked salmon, it is too fishy. I got the Halibut - it also had a nice kick and was perfectly cooked. H got the cake, it was a bit dry - I didn't really care for the taste. I got the Apple Dumpling - it was decent, but there wasn't really anything else on the menu that I wanted. Overall, I enjoyed my fish, but the decor was better than the food. Also, my ginger margarita - where was the ginger? I found the tequila though - really strong. This is why I don't understand why this place gets fully booked every night. I give this place a 3.5 stars The waitress was really pushing their heirloom tomato dishes on us, I love tomato, but I am not going to go to a restaurant to eat tomatoes that are sliced up. I can do that at home, I like to eat dishes that I cannot make myself or the preparation is tedious and hard to make. Not tomatoes!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.216377841; Sentiment_Subjectivity (from 0 to 1): 0.535530303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: T doesn't care for this place but I wanted to try this place for myself. I came here after work with E and E is the typical UES woman and me...well I am just me.  (I am not a hipster, because I just can't be - I am way too clean to be labeled as a hipster.)  I didn't really doll myself up but neither did I look dishevel.   E being a UES gal wore the typical UES threads.   We walked in and this tall African girl greeted us.  When I looked at her, the first thing I said to myself was, they hired her to be a hostess?  She had really bad weave and wasn't very well put together. She led us to the corner booth in the back near the restrooms.  E threw a fit and demanded to be sat at the other corner table closer to the well-lit area. The hostess said she was saving that corner table for a larger party.  We didn't think that made sense since she sat us in a corner table and next to us there was another open table.   The corner table that E wanted had another party next to it. The hostess said No, and walked away and E just said, "FINE, I will remember this!" 5 minutes later the Asian manager approached me and said she heard there was a problem with the seating.  I pointed to E, and E said she didn't like where we were sitting. The manager advised that the corner table has just opened due to cancellation.  Okay, personally I think they are so lame with their excuses. I thought to myself am I under dressed?   But as I looked around the room, this guy was wearing shorts and another dude was wearing torn jeans with a ugly baseball cap.  Then the two black girls that were sitting next to us (after we've been moved!) looked like trannies.  Then I saw another tacky white girl wearing a white dress with bright thong underneath.  (Trust me, nobody wanted to see that mess!) Okay it must not be the fact I didn't doll myself up more or I was inappropriately dressed. The seating and the bad hostess pretty much ruin our mood. Moving on...what we had for our dinner. We both got the Arctic Char Sashimi - it was yummy! E got the red snapper for her entree but I opted for the chicken.  I usually don't get chicken but after having some really bad salmon last week.  I have been turned off by cooked fish but not by raw ones.  I said I was scared it would be too fishy and it was a bit too fishy for me when I tasted E's red snapper. I was decently surprised when I took a bite of my chicken.  It was actually good!  Very moist and tasty!   But my best part of my experience here was the dessert.  Too bad it's only offered during restaurant week.   It's their CHERRY JUBILEE - OMG, this dessert made me fall in love!  Yes, ME loves it! At first, I questioned myself if I made the right choice but after tasting E's chocolate mousse and tasting my dessert.  WOOT WOOT! I did!  Cherry Jubilee didn't sound too exciting but me loves BING CHERRIES and that's what they used! Not those fake tasting maraschino cherries!   I cannot stop raving about the Cherry Jubilee - if it was a permanent item I would definitely come back here again!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.023114816; Sentiment_Subjectivity (from 0 to 1): 0.436303208 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 back to experience this place on a regular night - M suggested inoteca and I am sorry but that is the last place where I would like to eat. I suggested Pig and Khao instead, so M and I got there and staff there are super laid back. So it could be bad or good - depending how you like your service to be. I forgot to say - love the old school jams here, too bad this is a restaurant and not a place for dancing. I got the Cilantro and Lime Soda - really good. M got the Young coconut - love the taste of this...really good. M and I got red wine - M got the Pinot Noir and I got the Tempernallio? I love Salmon Skin in Japanese restaurant, so naturally when I saw Salmon Skin chips - I was like M, I am really curious about this and so we got it. Both of us were like....ummmm really really fishy. I ate more than M, just because I felt bad for picking this appetizer and it was really disgusting. Totally doesn't taste like freaking salmon skin in Japanese restaurant. DO NOT ORDER THIS DISH - the dipping sauce was too much too and it didn't save this dish. Pork Jowl - this was my favourite dish. It reminded me of the duck salad I get, but this is just with Pork jowl. M loved it too. Khao Soi - M doesn't like curry, but I said all curry aren't the same and M should try this dish, since I was craving some noodles. This was good, but I still love the pork jowl. We didn't get dessert, just because it was cold and I couldn't do ice cream.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.085416667; Sentiment_Subjectivity (from 0 to 1): 0.474539263 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay I had the worst meal of my life yesterday and it was at Jane. I am a true lover of their Steak Salad, but when I recently recommended their Steak Salad to my friends one night. They decided to get their Monday night special - Fried Chicken Dinner. They raved to me about how great it was and how good it was. I ended up telling E and said I want to try their Fried Chicken too. We came here last night and we got the following items: I wanted the Salmon Tartare, but the waitress suggested the Gnocchi and advised it was their star item for starters. Gnocchi - very grainy and flavour could have been good, if it was executed better, but this is definitely the quality of gnocchi that I love at Eleven Madison. Not worth the carbs or calories. Fried Chicken - I wanted to get the Steak Salad and Fried Chicken, so we can share the entrees in case one didn't work out. E said, no we should both get the Fried Chicken. I guess E didn't want to share the Fried Chicken? When the Fried Chicken came out it looked like a winner and not to mention the side of gravy boat that came with the mashed potatoes and side of kale. The Fried Chicken - I don't think there were any skin, instead it was just bunch of fried batter that had absolutely no flavour at all. Seriously, NO FLAVOUR at all and the meat itself wasn't dry, but again...where was the flavour? We asked for hot sauce and still it couldn't save this chicken dish. I thought dipping the chicken into the mashed potato with gravy would help, but the gravy was super sweet. We both didn't care for the gravy, why is this gravy so damn sweet? Kale with bacon - I usually don't mind this dish, but these vegetables were also way too sweet. E wanted the Sponge Cake Strawberries & Cream for dessert - I didn't want it, but I went along with it just because E seemed like that was what E really wanted. Sponge cake - I knew this was going to be the problem...too damn dry. I poured the entire strawberry sauce content all over and yet the cake was still dry. Total failure and complete train wreck. E told me at the end of the night that we should have gone with my plan and split the Steak Salad and Fried Chicken.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.045464853; Sentiment_Subjectivity (from 0 to 1): 0.640391156 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to this place awhile back-so can't remember much of what I had, but I remember it was good and I didn't have a problem with this place besides the person that I went with.  (She kept on dropping and spilling her food on me!) I remember they have different combo deals that comes with ICE CREAM! Which is totally awesome, since who doesn't love ice cream? I haven't gone back in awhile since the weather has been absolutely dreadful here. But once winter rolls around...I am going to holler at this place!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.225; Sentiment_Subjectivity (from 0 to 1): 0.571428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am super annoyed with this place - I have never ate here and I was finally coming here to try this ramen place that I trekked all the way up here. Got there at 6 pm and J checked and said there was 3 people in front of us and we ONLY saw the dude come out ONCE to call out Jamie. It was then 7:30 pm and J went to check again and the dude with the curly hair pony tail advised that the name was already called and we lost our spot. J then advised I should go and speak to this dude, this dude avoided all eye contact with me and even pretended he was NOT the dude that was handling the wait list. I then asked the other Japanese dude with glasses, he said I should speak to the curly hair dude and the Spanish dude said the same thing - who the hell is this curly hair pony tail dude? Seriously, why is he calling all the shots? I went up to him and he still avoided all eye contact and I was letting him know we never heard our names. They then point to the sign and aggressively pointed out NO EXCEPTIONS. I can understand if we weren't present, but we have been standing at that stupid place for over an hour and half. I am sorry, I am not saying this dude didn't call out our names, but he definitely didn't scream out the name with his meek attitude. SUPER ANNOYED! This effin dude with the dumb ass clipboard seriously needs to get a new system.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.143700159; Sentiment_Subjectivity (from 0 to 1): 0.546730463 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay 2 people brought up Blue Ribbon's Bone Marrow to me and raved about how good it was and how I must try it. So naturally, I had Blue Ribbon's bone marrow stuck in my mind. I had to get this curiosity out of my head, so A and I went here. A is not an adventurous eater...A loves DRIED up CHICKEN! I definitely don't trust A's opinions on food nor expect A to share my love for food. A just got the Spinach with Chicken and Chickpeas. A complained about how chicken not being overcooked and it was moist....but hey A's a special case. The chicken was really moist and well prepared. I got the Kumamoto oysters with FRESH horseradish! But I was a bit disappointed because the horseradish was off. It didn't have a kick nor did it clear my sinus. I pointed this out to James and he advise he was going to notify someone about my "tamed" horseradish. I thought James was just joking but he seriously put the alert out and he gave me more horseradish that wasn't "tamed". Since A wasn't going to share the Bone Marrow with me, I wasn't going to order it and eat it by myself. But James talked me into it and so I ended up getting the Bone Marrow with Oxtail Marmalade. The Bone Marrow came out cut into three equal sections. The Oxtail Marmalade surrounded the large oval plate with tons of toasted carbs. Okay, their bone marrow is seriously the hardest thing to eat - if you never had bone marrow...it's slippery little suckers. It was so hard to dig out and the Oxtail Marmalade was a bit too "heavy" for me. The Bone Marrow was good but not as good as my DBGB's version and not to mention not as easy to eat too. I wish they would cut these things in half (horizontally) and make my life easier and not to mention just season it for me, rather than me lightly adding my own sea salt. Nevertheless, I am still a huge fan of this place and James is super duper cool.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.075015664; Sentiment_Subjectivity (from 0 to 1): 0.583552632 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: People loves this place and I just don't get it - I thought it was because I went to the murray hill location, and so last minute changes and instead of eating Fried Chicken and Waffles, I had to meet E all the way in HK and this location is definitely not like the other locations. The facade looks like a fine dining restaurant rather than Pio Pio. They sat us downstairs, and the interior looks cool and all, but the designer didn't think about the noise level that bounces off the walls covered in timber. It was super loud, I couldn't even hear anything that E was telling me here. E ordered us the following items: Ensalada De Avocado sliced avocado, fresh lettuce, tomatoes and vegetables, tossed in a homemade dressing. - seriously, I could have made this salad. Like nothing about this salad was hard or complicated.....bleh. Salchipapa sliced frankfurters & french fries - the frankfurters were the only thing that I didn't mind eating and that's not saying much Ceviche Mixto * fresh corvina, shrimp, octopus & calamari marinated in lime juice & mixed with red onions, cilantro and rocoto hot pepper, served with sweet potato and choclo corn - heavily breaded and just not good Juanita's Chicken one whole rotisserie chicken marinated in mama juanita's authentic recipe - eh, boring. You have to constantly dip this chicken into the green sauce just to make it semi good. I am sorry, but this dish is lame, why do people love this? I got hot green tea, because I don't eat this sort of food and I love how they serve you tea without a saucer, where in the hell am I going to put my used tea bag? I also got food poisoning here - seriously, been here once and now twice....never again. I am not a fan of this place and I still don't get the hype.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.031140351; Sentiment_Subjectivity (from 0 to 1): 0.575438596 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A was hungry and my phone wasn't working, so to save time - we just stopped here for a quick bite. I wasn't too sure about this place, since I am a bit picky when it comes to places like these, but I was pleasantly surprised. I didn't trust to get the mussels here and plus I just converted A into a mussel eating food and didn't want A to revert back to the old non-mussel palate....anyways, so we got the Cowboy Chili and Garlic Shrimp. A got some kind of beer and I opted out, since they didn't have specialty cocktails here. Anyways A likes the garlic shrimp here better than Schiller's - I actually preferred Schiller's, only because it has more garlicky goodness. The Chili was really hearty and really good. Service - friendly and chill Good place to go when you're in the hood.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.329166667; Sentiment_Subjectivity (from 0 to 1): 0.527777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 found myself here once again due to the mesmerizing outdoor lights. The exterior is truly enchanting, but when you get inside...it doesn't really measure up to the outdoor decor. Inside is your typical gastropub. H never been here before, but H was also intrigued by the outdoor lights, but also agreed with me the exterior didn't match the interior. I like Mary Queen of Scots, but I forgot this place was the same owners and forgetful me ordered a Pimm's Cup, since the drink included fresh muddled strawberries. Ahhhh, I forgot I did not care for this strawberry version of Pimm's Cup when I ordered it at Mary Queen of Scots. Drats! Mental note - don't get the Pimm's Cup from here or at Mary's.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.047916667; Sentiment_Subjectivity (from 0 to 1): 0.375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dude.... ROASTED GARLIC MAYO is the Bomb Diggity!!!! Me loves it!!!!; Max_Daily_Reviews: 3; 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: I saw this place on Yelp and that it was new and how "authentic" the food was and I was super excited to try this place. I wasn't feeling too well, and so I was craving something brothy and so I dragged W to come along. The place is clean, since it is new, but the service was super slow and not attentive. We shared the Goi Cuon - the wrapping skill wasn't so great and their version wasn't as sturdy, almost limpy, but it was good. I got the Tai Sach combination rice noodles beef soup with fresh eye of round & omosa - the broth was super bland. There was no pho aroma going on in my bowl. No flavour at all. W got the Banh Hoi Thit Heo Nuong grilled pork on tiny rice stick. with lettuce, cucumbers, mint leaves & peanuts. W requested the grilled pork chop though and this dish was better than mine but the pickled vegetables weren't as good as Pho Grand. I still like Pho Grand better and they're a lot faster. We waited there for 30 minutes to get our check and they weren't even busy. The guy kept looking outside the door for new customers, but meanwhile ignoring our constant gaze to let him know, we're ready to go and get the heck out of here. Then it took forever to get our cash. I am going to stick to Pho Grand.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.262373737; Sentiment_Subjectivity (from 0 to 1): 0.601122334 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I finally got to try their vermicelli - shrimp, pork and cha gio that people seem to rave about. My complaint about their version is that nuoc mam (sauce to go with the dish) is way too damn sweet. I feel like it is over-hyped and I definitely prefer Pho Grand's  nuoc mam. I felt like there was so much sugar, that I was eating candy. It left me feeling heavy rather than having a light-nice summery dish. If they fix their nuoc mam, they would have a better dish....; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.505555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am back here again for Pancake month - I got the Raspberry Pancake with their signature raspberry jam, fresh raspberries, toasted almond butter, vanilla bean whipped cream. I am really happy I shared this with A, because after eating half of these pancakes, I wanted to die. A and I's discussed on how we were going to take over this pancake month and share different pancake day flavours. After eating this first pancake flavour of the month - I don't want anymore. I don't know why, is it because I haven't had any sweets in a while? Meanwhile H and I are coming back for the Blueberry Crumb Streusel. I am hoping H will want to share, but I doubt it. The only flavour that I could eat a lot of was three years ago, when they did this amazing crepe like pancake with poached pear.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.198148148; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place didn't change my life - lately all the new restaurants that are opening up are a bit of a bore. Despite the lack of life changing experience, this place is quite charming and service was quick and good. K had two drinks here - I can't remember the name, since I can't seem to find the menu. One was super strong bourbon and I definitely can't do that drink and the other one was pretty good. I wanted to trade my drink for K's, but since K is a fast drinker...nothing was left, while my Mint Julep sat to my right...perfectly full. The Mint Julep was good, but it was way too strong for my lightweight self and just didn't have the taste that I prefer in my alcoholic drinks. Moving on to the food.... We shared the following: Pig Ears with Lettuce - this was my most favourite dish of the night. Brisket Jerky - I thought I had problems with my teeth, since places like Lure and Do Hwa be breaking all of my molars! Well apparently I can still chew better than K. K had trouble chewing on these dehydrated brisket. K said I must enjoy this dish, since there were a lot of black pepper. It was decent, but needs improvement and they definitely don't beat the slew of places down in the South - that's some fine jerky there. Little Neck Clams - I have to say these could have been cleaned a bit better. After all this fiasco with restaurants not thoroughly cleaning or removing bones and shells - leaves me a bit resistant on eating anything with a bit of grain. Luckily, I walked away with no molars harmed. Needs more flavour though....not sand flavour. Seafood with Noodles - Don't know the exact name, since I still can't find the menu. At first, I didn't want to get this dish, but K really wanted this dish and I didn't want it only because I wasn't in a noodle mood and it might be too much food. Well this dish, barely had any noodles - seriously the noodles that were in here were the size of my hand and I have rather small hands. This place needs improvement....but for now, do the Pig Ears!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.192020202; Sentiment_Subjectivity (from 0 to 1): 0.500877525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here was the only restaurant  where I had to come up with a master plan to get a table during Restaurant Week. I first tried the usual way by calling but they were booked solid. 2nd try:  called at 8:57 am - nobody answer since it was 3 mins early! 3rd try: 9:08 -9:15 am ---busy signal I was at my doctor appointment so I ended up calling my co worker to tell her to get on the computer ASAP and book a table. She got a table for us at 2 pm for lunch! Not GOOD ENOUGH...I decided to do it again at 9 am the very next day!  I succeeded and got us a table at 1 pm. Hooray!!! I like the ambiance and the atmosphere of this place!  Very nice and good mix of people! APPETIZER: I tried the risotto off of my co worker and it was really tasty! I went with the calamari salad with carrots and pine nuts since pine nuts are reminisce of my youth. I had the monk-fish---quite delicious!  I didn't care much for the pork croquette- a bit too heavy and nothing grand about it! Dessert was really good ---BREAD PUDDING has never been served so perfectly warm and with the perfect accompaniment of this delectable ICE CREAM----sorry I forgot the flavor but it was good and that is all you need to know! However, I know the ice cream flavor to the Chocolate Mousse has a bit of Grand Marnier! It was great but I am still not sure what is all the hype about! This place wasn't so off the charts that I should have to make an early reservation just to get a table! I would go back again, perhaps they will prove to me why they are so popular that you have to call 9 in the morning to get a table!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.318240741; Sentiment_Subjectivity (from 0 to 1): 0.519341564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: M suggested Peep and I said Hell, No! M, then suggested Boqueria and I said hell, why not. I never been here before and always been curious about it. M was raving to me about their Patatas Bravas - crispy potatoes, "salsa brava," roasted garlic aioli. Didn't understand why M was raving about this particular tapas. Potato was dry and dude, you couldn't even taste the shiesty helping of barely drizzled aioli. But M seem to chomped away and couldn't stop eating them. I only had two bites of this and I was done. I glanced over the menu but was reluctant since wasn't sure if I had full control of ordering but I mentioned I was curious about a few items. I love eggs...SERIOUSLY, LOVE LOVE LOVE them and I love Quail and their eggs! So of course, I wanted to get Cojonudo fried quail eggs and chorizo on toast. This sounded better on the menu...cute though, but I never cried out God after it hit my mouth. M mentioned that K always orders the Bocata De Boquerones - pickled white anchovies, goat cheese apple, grilled country bread but M didn't realize this dish was a sandwich not under their tapas section. The waitress who adorned her ears with navy coloured long featured earrings advised they could make a tapas version with olives and petite size baguette I don't mind anchovies, I am actually trying to eat more of them due to their high levels of Omega 3 but M was a bit hesitant since M's not fond of fishy things. It was good, but I feel like they could did something more with this tapas version. I love seafood, so we got Gambas Al Ajillo ruby red shrimp, garlic, guindilla pepper - this was my most favourite dish out of the entire meal. It could have been spicier, but the waitress was no where to be found to ask for spice or black pepper. I would come, back but with someone that's not stuck on their potatoes.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.215287356; Sentiment_Subjectivity (from 0 to 1): 0.491226054 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Kuchiko-female, Kuchiko-male - I came here just so I can eat their guts! Z got the female and I got the male. Supposedly they taste the same, but it reminds me of a uni with a bit of foie gras. I got the uni of course and toro, scallop and ocean trout maki, sockeye salmon maki, rainbow trout, squid fin, branzino and I can't remember the rest. This is my first time to have Yoshi - he's super nice. I love him and he has a good sense of humour.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.297916667; Sentiment_Subjectivity (from 0 to 1): 0.448958333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: H, L and I came here on a Friday night and sat near the annoying door - we could smell the guy smoking his cigar outside. I find it strange for a restaurant to have scented candles and fresh flowers - although they are lovely, but I feel like it takes away from your food experience. We shared the following items: Tuna Tartar - really good. Love it. Mussels - This came with clams and I actually enjoyed the clams more than the mussels. The flavour could use more work. H and I shared the Kobe: Kobe Sliders - Ummm, buns were overdone and the meat too. I didn't taste the fatty goodness of the kobe meat. Kobe Hot Dog - really? I thought this was what they were known for? Totally underwhelmed and didn't love it at all. L got Tuna Nicosie - L seem to enjoy it. Cute place, but just really disappointed about the Kobe quality here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1825; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 already had a line before it even opened for brunch...CRAZINESS! Luckily, K and I arrived at the right time and only waited 5 minutes! Woooo Hooo K ended up getting a burger and I got their waffles since K was in between the burger and waffles. I am not a big waffle person since I never care for the thickness of them but Freeman's makes them pancake thin. It was good but they only gave you one and after sharing it, you're pretty much left with nothing. This place is just overrated for what it is...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.12989418; Sentiment_Subjectivity (from 0 to 1): 0.657671958 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you have ever remember Jack in a Box, you would have remembered they used to have an appetizer that were called taquitos. They were so good - unfortunately, they were cancelled and I haven't found another place that comes close to them. Until now, this place serves nothing but Taquitos. YAY. Me loves Taquitos - this place is really small. So definitely not a place to hang out - reminds of Pok Pok atmosphere. I got the pork one and it's really good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.13; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 UPDATING AND PEOPLE ARE PROBABLY NOT GOING TO READ MY LAST UPDATE. BUT I WANT TO SAY AGAIN....DO NOT CONTACT ME ABOUT GIVING YOU THE NUMBER OR TELLING YOU WHAT TO WRITE TO GET IN HERE. STOP BEING ANNOYING PEOPLE! Okay, M was in town and asked what M wanted to try in NY and gave M a list of things. M decided to come here. I decided to steer away from familiarity and ordered a few things that weren't my usual choices here. Wagyu Short Ribs Sashimi - Really damn good. Tender and just delicious. I would have prefer the meat to be more red, but this dish still won me over. Garlic Shrimp - Eh, I wasn't too thrilled about this dish. It wasn't very easy to eat with the hot bean paste and sea salt on the side. I definitely think this dish should have came with more than two sticks of bread to slop up all the leftover "sauce". We had plenty of the garlic sauce left. I prefer the Garlic Shrimp at Schiller's and they give you PLENTY of bread to slop up the garlic goodness. I got the Great Neck Clams again and M agreed - they do a damn good job at cleaning these suckers. Ikura and Uni Rice - I don't know what happened here, but the Uni no longer tasted like butter. It was off and the rice too. This was my most favourite dish here and I don't know what happened here. Was it not a good Uni day? Usually the rice had this really good almost buttery goodness within and I didn't get any of it yesterday. We skipped on the desserts, since there are always something in one of their desserts that I don't care for - sorry I am not a chocolate lover nor a caramel lover.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.186533333; Sentiment_Subjectivity (from 0 to 1): 0.522666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: K and I were planning dinner night but didn't plan on K having diet restrictions. K started this no alcohol & sweets, eat only chicken and seafood diet, which I didn't understand when K knew we were going to have dinner. I gave K a list of places and I added Yerba Buena after H rave to me about this place but said Perry location was supposedly better. Drink Menu: I don't like to drink alcohol by myself, but I did notice they had tons of specialty cocktails, which caught both of our eyes. Oh wells, K said next time... I love spicy things so I naturally wanted to try their Limeño hamachi ceviche, citrus miso, jalapeño, jicama, cucumber - the contents of this ceviche reminded me of the one at Desnuda. This was just okay and their version definitely didn't even come close to Desnuda's. I couldn't even taste the jalapeno flavour. Chicharron De Calamari - blue corn meal crusted calamari, sweet plantains, tomato salad tamarind vinaigrette - This looks a bit weird since the calamari is donned with a really saucy brown colour but surprising this dish wasn't half bad. Tacos De Pescado crispy tilapia baja style, jicama cabbage, chipotle slaw - I asked the waiter for hot sauce and he advised that I should be careful and I really need to taste the hot sauce before I go crazy with it. I told him, not to worry since I can handle spice but he insisted that I try it. WAH WAH WAH...bleh, not even spicy. I guess he was shocked to hear this so he came back and told me they didn't make it as spicy. But I am like...really, it wasn't even spicy at all to me. The fish tacos were good though and I thought the slaw was really tasty and good twist instead of using the typical red lettuce. They had ran out of their creme brulee so got the Tres Flan instead. I asked them to double up the peach flavour since I hate coconut and the third flavour is chocolate. I usually only eat Japanese Flan but their flan is actually really good - the best Spanish version I had. Attentive service and great atmosphere.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.10045045; Sentiment_Subjectivity (from 0 to 1): 0.504954955 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I never knew this was Austrian place - I always thought this was just a bar of some sorts. I came here with S, of course this was S's suggestion since S is from here. We ended up sharing the following: home made liverwurst w/red onion jam - I wasn't too into the liverwurst here. It had too much mineral after taste. However, S gobbled it up without a problem. S actually finished the whole plate and I had one bite. landjäger / home-made pickles / liptauer - S was explaining this to me and it didn't sound too appetizing the way S was describing it, but I actually loved this dish. austrian meatballs / roasted vegetables / potato puree - this was good, but gosh, I wish it was more spicy or some sort of heat. We ended up dipping our meatballs in the homemade mustard. Really good mustard in such a cute little pot. Katja's Margarita mit hollunderbluten - I can either like or dislike elderflower, but this Margarita contain the perfect amount of elderflower. S just got a beer and Marillen (Apricot) Reisetbauer, Austria - damn strong. I couldn't do a Schnapps. It's not fruity and you can't even tell it's Apricot and S knew Schnapps would be too much for me. Cute place, I would definitely come back here to try more things, but I would order landjäger / home-made pickles / liptauer again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.327291667; Sentiment_Subjectivity (from 0 to 1): 0.511666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Every time I got to a place that W picks, I am not into it and we all were going to go to Flushing, but we ended up going to Brooklyn and F and W wanted to come here. They are regulars here and F probably wanted to come here because of the oysters. F got a dozen of oysters and the other dozen, W and I shared the appetizer. Their mignonette was just okay, the garlicy one didn't win me over, instead I just did cocktail sauce with extra horseradish. The other dark mignonette, couldn't really even tell with this one. W and F got their own Creamy Polenta - it was really good, but the sausage and the pool of sausage grease would not work well with me if I tried to eat this whole thing by myself. I can't stuff with too much oil, but if you can, this dish was really nice. Steak Tartare - I love a good steak tartare and I got this and unbeknownst to me, W and F do not eat raw meat. Okay, great, so I get to eat this dish by myself. But when this dish came out, I saw the greyness of the meat. It was not raw, it was like cooked a bit and the chopped of meat was not diced as fine as I would have preferred my tartare to be. It was really chunky and I wouldn't mind this if it tasted good, but this dish was a no go for me. I haven't had a bad steak tartare, not that I could recall, but this one has made the list. Grilled Octopus - eh, did nothing to my taste buds. I'll stick to Le Pescadeux braised octopus. Braised Short Ribs - again, not my favourite and for me it was just lackluster. Tiramisu - good and strong. You can taste liqueur. Bread Pudding - I want to say this dessert had a really nice surprise hidden inside. Chunks of chocolate and I am not a fan of chocolate, but this dessert actually won me over. It was really good and I do love bread pudding. Overall, I was not amazed by the food here and I judge this solely by if the food here did something to my taste buds and my taste buds didn't dance here. However, I do love the bread pudding and it I can handle it, I definitely would do the Creamy Polenta.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.292968143; Sentiment_Subjectivity (from 0 to 1): 0.492618493 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only went to the Mad Sq Eats and I only been inside the brick and mortar store once, but just to check the place out. M and I got the Speck - really good!!!!! Though the speck was salty, it wasn't too over powering for my palate. A FAN!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.09375; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 too tired and too lazy - I will cut this review short since my first review got erased.  (grrrr) I wasn't too into the Ssam - pork belly with razor clam.  I love razor clam and this place totally killed my love.  I couldn't even detect any traces of the clam.  I know it's in there since I put in there myself but it just wasn't flavorful enough for me. I would however only come back just to have their steam buns with pork belly and their Cracked Empress Jonah Crab Claws with yuzu mayo.  But then again who can really mess up boiled crab claws? Overrated but 4 stars just for the two appetizers and nothing else. I would definitely not order a banh mi here - since banh mi should only cost $2 and made by true Vietnamese people and not by Korean owned place who charges $15 bucks for it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.008333333; Sentiment_Subjectivity (from 0 to 1): 0.543888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cheap as hell and it's good! TOO BAD it doesn't deliver! But it's open 24 hours!!!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I swore I reviewed this place...perhaps it got erased? Too lazy to go into details, so I'll sum it all up by saying fishy clams and low grade seafood. I would never come back here to eat the hot pot. The clams weren't even cleaned out right. Good size, but disgusting taste. The live octopus tasted didn't taste fishy and surprisingly wasn't gross at all. I came here with a large group...K and I were underwhelmed  - the rest of the people were enjoying their soju.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.128030303; Sentiment_Subjectivity (from 0 to 1): 0.526190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A lot of people have mentioned this place to me, mainly because of their margaritas. I like Vanilla but I prefer for it not to be in my drink and so I definitely wasn't going to get the Strawberry Vanilla Margaritas. I ordered a Raspberry Margarita and after that one I decided to switch it up and get the caprihina. I asked the waitress what was the special for the day. She advised Strawberries and I said okay, great since it's only strawberries no vanilla. The waitress brought over the drink and I thought it looked just like a Margarita and not to mention it tasted like it had vanilla. I had to ask the waitress what it was and she totally brought me the wrong drink and what I totally did not want - the freaking Strawberry Vanilla Margarita. BLEH! This made my dining experience go down hill because the waitress didn't even apologize for her mistake. I can't even remember what A and I ordered from here besides this whole drink episode.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.124386724; Sentiment_Subjectivity (from 0 to 1): 0.613059163 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everywhere was closed, so K and I just ended up here - the first time I came here I wasn't too into it and this time around...I didn't mind the Beef Noodle Soup. I love the texture of the noodles, but I gave it three stars since I wasn't feeling the meat. I am a bit picky when it comes to the quality and the cut of the meat. Only ate the noodles and left the meat in the bowl.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.13; Sentiment_Subjectivity (from 0 to 1): 0.406666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can't remember what I got here, but I came here with W and W has came here before, but didn't remember. Just like I don't remember which soba I ordered either. This place is ridiculously busy, not sure why, since I didn't think my soba was life changing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.075; Sentiment_Subjectivity (from 0 to 1): 0.594444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: K and I have been planning for months to try Marfa but for some odd reason, they were closed. K suggested we go back to Luke's and I was down for some Lobster roll but we ended up passing by Guayoyo and I remembered S and C loving this place. K and I decided to try this place and we shared the following: Special - Chorizo with Manchego and it came with mini arepas - We both LOVE this...too bad it's not offered daily. I love Papelón Con Limón, and I was delighted to see they had this on their menu. Unfortunately, I favour the one at Caracas Arepas better...it tasted less like plain lemonade. I am still dying to try Bake and Shark, so I always want to order anything that would reference the Carribean delight in some shape or form. Unlike Caracas Arepa - they had them in stock, so I got the Shark Empanada. Eck, wasn't what I expected it to be, not sure if this is just regular fish. I only tasted Shark's Fin and not the actual body of the fish, so I can't comment if it's real or not. I won't be ordering this ever again. I forget what K ordered...I think it was their chicken? This place is good place to go if you're craving Arepas and don't want to wait for an hour just to eat at Carcas. I would still come back, but I hope they will still offer their Chorizo with Manchego Arepas.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.025165344; Sentiment_Subjectivity (from 0 to 1): 0.440275234 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: F, W and I came here for brunch. Wow they totally redid this entire place. F got the Paloma Grapefruit Cocktail - nice huge grapefruit wedged onto the glass. I got the Bloody Maria - yums. Spicy. W got the Big "BLAT"- Bacon, Lettuce, Avocado, Tomato, toasted 7-grain bread, smoked paprika mayo - this thing was huge. Seriously, huge. W loved it. I got the 2 eggs (poached, scrambled, or fried), grilled sourdough, creamed spinach, mushrooms with bacon. This wasn't what I expected - otherwise I would have got my eggs scrambled rather than poached. F got this Smithfield Mangalista ham on toasted potato Parmesan cakes, poached eggs, yuzu hollandaise. I should have gotten this, but I don't like ham. *sigh* W was still hungry even after that massive sandwich and fries. W decided to order some donuts - we tried it and they both loved it, but I thought this donut was a bit too dry for me. I still don't care for donuts, unless they're from Donut Plant or Flex Mussels.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 told T there was a new crepe place by Cece Cela and T was like that crepe place been there for years. I said, no they have competition now, since another one just opened two doors down from them. This one has an Asian flair and so I peaked A's interest and we went for lunch just to prove to T that there is another crepe place. A got the Chicken Teriyaki - A said it was good. I got the Azuki Berry - although I haven't ate lunch yet, I wanted to try a sweet than a savory or salad version. I really love my Azuki Berry - you can tell the azuki are made fresh and not a paste or is it from a can. It has green tea ice cream and it was really good. I also got two sticks of Pocky that came with my choice. I seriously, love the packaging here - too cute. Perfectly perforated wrapping and cute little baggies to travel when you're on the go. They entice people with their faux crepes out in the storefront - cute idea. Matcha Latte - good Yuzulade - I was super excited about this drink, since I am a total Yuzu fan. However, I think the bits of rind they put inside the drink makes it on the bitter side. I think they need to recalculate the yuzu with the rind. Royal Milk Tea - this was decent I would definitely come back for their crepes, perhaps a savory one next time. However, the drinks needs some work and not to mention their system, since they need to work out their kinks. It took forever to get my Yuzulade, seriously FOREVER and all they needed to do was scoop it out of the plastic container. Everyone was nice and friendly though.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.237856241; Sentiment_Subjectivity (from 0 to 1): 0.594408369 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has won me over because their cappuccino is the best cappuccino I had ever tasted! SERIOUSLY, HANDS DOWN...THE BEST!!! The froth is soooooooooooooo thick, luscious and delicious! LOVE LOVE LOVE! So damn good! Mussels were also good, but I am coming back here on my own accord for their cappuccinos! P.S. The heat here is crazy! I felt like my eye balls were going to melt into my bowl of mussels! P.S.S. I love their ham quiche here!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.428869048; Sentiment_Subjectivity (from 0 to 1): 0.588690476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I never gone to Fat Buddha before, but this happens to be where all the birthday shenanigans happen. I finally went to one - lo and behold it was the old Forbidden City . I guess it is still an Asian theme place. I had the Mango drink...can I say it totally kick my butt. I was already tipsy off of one and the Persecco didn't help either. Short but fun times.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.066666667; Sentiment_Subjectivity (from 0 to 1): 0.408333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I passed by here a few times and never really saw Barbuto and didn't even noticed the "dog". But after finding out about Pollo Al Forno...I told S and S was totally down for some chicken. Mind you, I am not a fan of chicken, since I am very particular on how I like my chicken. I am usually too scared to order chicken, since I hate dry and over-cooked chicken. I was confident enough to order a chicken entree here without worrying about dry chicken. The Pollo Al Forno - soooo damn moist and juicy. I wish there was more Salsa Verde action and crispier skin, but it was still delicious. I think it's because you're just so enthralled with the moistness of the chicken, that you don't really carry about anything else. We also shared the Linguini Alla Carbonara - pancetta, farmhouse egg, black pepper & parmesan. I only got this since S seem to really want this, but I was more leaning towards the ricotta pancakes, but I asked the waitress which one was more popular. She said this one, but I don't know how to describe the waitress, except she needs to work on her delivery style and she's so weird. This dish was decent, but it was missing something for me and plus this dish was way too rich and heavy for me. S seem to enjoy this more and kept eating after I took one bit. S wanted to get Patate crispy potatoes, parmesan & rosemary. But I am not trying to eat all this heavy food, so I told S I have to pass on this and I want to save room for dessert. I am glad I didn't agree to the Patate, since I saw the dish at another table and thought it looked crazy and damn heavy. We shared the Zuppa for dessert. I think it was called Zuppa. It was pound cake with some fruit. The pound cake could have been a bit more moist, but appreciate the fruit toppings. I would definitely come back for the Pollo Al Forno! Not life changing, but still damn good enough to go back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.023271605; Sentiment_Subjectivity (from 0 to 1): 0.591234568 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 should have reread my reviews, since I totally forgot what I ordered and I made a mistake and ordered the smoked salmon crepe with housemade pesto. Okay, this dish was a total fail and I asked for hot sauce to try to stomach this dish, but it didn't help. The smoked salmon ended up being cooked in the crepe and the crepe tasted as though it was raw and not thoroughly cooked. The cream cheese and pesto just made it taste weird and not to mention super salty. WTF, why did I order this dish. I should have went with my other dishes, but I was curious about the crepe with smoked salmon. C ordered the omelet - I totally should have went with the more standard brunch item rather this weird mixed with crepe and smoked salmon. They shouldn't have cooked it together. It was disgusting and just not edible. I would still come back for other things, but beware of the crepe with salmon. I have to say this place has the best service staff here. REALLY, REALLY GOOD - so 5 stars for that alone. We also got a white sangria pitcher - damn, I was done after that.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.013519814; Sentiment_Subjectivity (from 0 to 1): 0.564918415 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cassandra M. and Carmelle F. were super duper and not to mention HELLA nice of them to invite me to their trip to Brooklyn. Thank you gals oh so much for letting me come along and taking me here with y'all. I went a bit crazy thinking about this trip...I thought about ordering a WHOLE QUART of Lobster Bisque. I love love love Lobster Bisque! When we got here I was going NUTSO, I was like OMG I want everything and I usually like to milk all of my far and away trips, since who knows when I will be back here again. I shared a Shrimp Roll with Carm - it was AIGHT...Luke's so much better. Lobster Bisque - Before I got ahead of myself and ordered a QUART load of this thing...I overheard someone asking to sample it. Luckily, I did because this bisque wasn't what I am used to - it wasn't the beautiful coral roe colour, instead it was this muddy looking colour that made me say WHAT is this? After sampling it, I figured I should just order a cup of this because I thought perhaps with the lobster meat...the bisque would be better. I have to say this has to be the worst bisque I ever had and I'm disappointed that Carm couldn't taste what a "good" bisque taste like and this just wasn't a good sample. But I'll give this place 4 STARS for their Lobster Roll - really good chunks of Lobster meat and they are definitely not shiesty like Mermaid Inn - meanwhile half of the cost! The meat couldn't be contained in the buttery toasted bread. YUMS! I am upset that I didn't order the Lobster Dinner. Since I didn't know it was like a whole lobster - I thought it was a combo meal! Otherwise I would have tried the whole menu but minus the Connecticut version of their Lobster roll, which is just warm with butter! Thanks again girls - Y'all the best!!!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2421875; Sentiment_Subjectivity (from 0 to 1): 0.545238095 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really cute bento boxes!!! I stumbled onto this place only because I needed to run an errand near the hood, so I picked this place for S and I. S got the mackerel with the ponzu sauce - really nice, but I liked my salmon with ikura bento better. Ootoya in Japan is much cheaper, but for New York - this is a good deal with all the stuff you get in your bento. We love Egg Custard - such a delight! The miso soup we got, I didn't really care for it since it is a different version and the broth is overpowered by the other vegetables in there. You don't taste the miso as much. Other than that - I loved everything that I had in my bento.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.310182884; Sentiment_Subjectivity (from 0 to 1): 0.587784091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 forgot what Y and I got - we got the same thing...it wasn't tacos, but something with Eggs and Chorizo - I thought it was just okay. I don't understand the hype, but I would come back just to give this place another chance. I guess I have to try their Horchata, since Helena seems to love it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.30625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 guess I forgot to review this place when I first came here and now I forgot my first time meatball shop experience. I know I came here at the beginning of their opening and I was with K. I can't remember what K ordered, but I know I got the Spicy Pork with the Spicy Meat Sauce. I didn't care too much for it, because it wasn't spicy at all. Not even a tingle or did it pack any sort of heat. I remember K wanted the Ice Cream Cookie Sandwich and I remember how much I hated it, because the cookie was ROCK SOLID. WTF! I much rather have Ice Cream with a softer and chewier cookie. TOTALLY NOT IMPRESSED! This place keeps getting so much press and so much love - it really makes me want to give this place another chance. So I came here with W, F and J - W loves this place, but meanwhile their not big foodies like me. F and J got the sliders. W got the salad and we all got the risotto - W and F loves the risotto. I am sorry, the taste was good, but I did get some uneven cooked risotto - not as bad as Risotteria, but still I hate risotto that are not cooked properly. This time I just got the Classic Beef with the plain tomato sauce - it tasted better than my first experience, but still this taste did not leave me wanting to wait here for 2 hours to eat these damn balls of theirs. It did not change my life enough where I would actually want to wait to eat here. What is the fascination of these balls that people are waiting to wait up to 2 hours to eat here? PLEASE LET ME KNOW WHAT YOU ORDER, because I must be eating the wrong things. W had to get the Peanut Butter Cookie with Vanilla Ice Cream - cookie wasn't brick, but semi-hard though. I think they just need a better cookie recipe. This place still hasn't win me over.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.00824515; Sentiment_Subjectivity (from 0 to 1): 0.451499118 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have always heard about the Spotted Pig - people rave and rave to me about this place. So I was delighted to hear that T wanted to try this place.  I was super duper excited about coming to the place that 's been highly praised. Since I am crossing to unfamiliar territory - I opted to take a cab since I still do not understand the streets of West Village. I never know where I am when I pass beyond 6th Avenue.   I spotted the spotted pig and went inside to wait for T's arrival.  T was lost and she called to ask me for directions - I am like dude, it's like the blind leading the blind situation. Finally T arrives and we sat promptly because it was still before 7 pm. We decided to share the following: Deviled Eggs -which never arrived, so can't judge it! Devils on Horsebacks -sweet and smokey all at the same time.  (Prunes wrapped in bacon!) Sheep's Ricotta Gnudi with Brown Butter & Sage -A bit too salty for my taste, but it was still delish Chargrilled Burger with Roquefort Cheese & Shoestrings -WHOA!  Extra SALTY!  I couldn't eat it.  I am sorry but I have an Asian palate and I can't do that much sodium.  I ended up focusing on dipping my shoestring fries with ketchup. We didn't get any desserts - since there really wasn't anything that appealed to us. This place was super duper crowded when we left around 7:30. I give it TWO stars because I don't understand the great reviews.  Perhaps if you love salty food- you would give them place a higher ranking. But I don't so I wouldn't come back here!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.128650794; Sentiment_Subjectivity (from 0 to 1): 0.470555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 since H raves to me about their fries and burger. H told me to get their special burger - ummm the burger was insanely big, that it was too tough to eat and I didn't like the toppings either. Truffle fries, I tasted them from H and I thought to myself...where's the truffle? I didn't detect any truffle on H's fries and I didn't like the taste of the fries either. Sorry I can't give much more details, since I totally forgot to review this place and this is all that I can remember. I guess I should have stuck with the brunch items?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.005291005; Sentiment_Subjectivity (from 0 to 1): 0.625793651 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know what exactly L ordered from here, but we all shared the following pizzas Four Cheese Pizza - I didn't care for this one, it was super salty. Vegetable Pizza - I should have stuck with this one, this one tasted a lot better. Perhaps I should have done the ordering, I wasn't wowed by neither one.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.270833333; Sentiment_Subjectivity (from 0 to 1): 0.379166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one day with my co-worker since she kept on raving how good this place was. We both ordered a tomato basil soup, their mac and cheese, and I forgot what else we had - but it was just ok. Nothing really extraordinary about it --- my co-worker even later said after the meal that she think the reason why she raved about this place was because she never went there sober. We even waited for a table for 40 minutes --- I would expected better for such a long wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.22037037; Sentiment_Subjectivity (from 0 to 1): 0.455555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one is much bigger than the one in Union Square - good service and drinks.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG - they are totally slacking! First of all - don't ever get the Wontons from here...it's gross! My beloved Lobster & Mango Summer Roll sucks now!  I think they changed the chefs or the recipe.   I recently ordered it and OMG they must want me coming out toothless because there were 3 FREAKING Lobster shells in my damn roll! WTF! I am sorry, but I don't want my mouth to be filled with nothing but crowns in there!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.005555556; Sentiment_Subjectivity (from 0 to 1): 0.614814815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: E and I were meeting to catch up on each others' lives - I have been wanting to go back for more of Employees Only and so I find myself here again! I suffer from Over Compulsive Disorder - I can become obsessive over things, so my current obsession is their Bacon Wrapped Lamb Chops! Sooooooooooooooooooooooooooooo yummy. E is a pescatarian, but S was going to join us...so S and I can eat meat. I didn't know S wasn't an adventurous eater, but meanwhile I ordered Steak Tartar and Lamb Chops for S and I to share. S had trouble finding the place so the Lamb Chops got cold and it wasn't as good as I remembered it to be. *sigh* This killed my obsession instantly, but I am still willing to come back here and not wait for my food to get cold before devouring the delicious goodness that's wrapped with bacon. We also had a lot of drinks here. I definitely trust the waitress with the long brunette hair. She didn't lie to me about Fraise Sauvage - Plymouth Gin shaken with Wild Strawberries & Tahitian Vanilla, topped off with Zardetto Prosecco. I like Vanilla, but I don't care for it in my drinks nor in my perfume. I feel the same way about Jalapenos - I love them, but I don't care for it in alcohol form. So naturally, I was interested in Fraise Sauvage, but when I read Tahitian Vanilla...it put me off. I saw this cocktail again and I asked the waitress if they could just skip the vanilla. She advised it's already mixed with the Wild Strawberries, but said you couldn't detect the Vanilla flavour and guess what...she did not lie to me. It was absolutely delicious and so I decided to ask for another suggestion...she recommeneded Amelía - Luksusowa Potato Vodka & St. Germain Elderflower Liqueur shaken with pureed Blackberries & Fresh Lemon Juice. This was also good, but less fruity. We got two orders of the Potato Gnocchi - Shitake, Oyster & Cremini Mushrooms. I like the mushrooms, but I felt the Gnocchi was a bit too hard but E loves it. Hence, we had two orders of this stuff along with the Mussel Roast. S got an order of Spaghetti, since S was craving some and even though it's pretty plain...it was really good. E loves sweets and got the Poached Apple "Tufahija" Candied Walnuts & Clove Scented Yogurt. E devoured it right when it got to our table. S and I thought it was a bit too sweet, but why couldn't we stop eating it? Now I want to come back to try their Late Night Menu.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.15227591; Sentiment_Subjectivity (from 0 to 1): 0.520168067 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheers to SOUP DUMPLING!!!! But what sucks is you have to share your table with strangers and there's too many damn tourists! LONG WAIT!!!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.057470703; 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: I love Brunches and so does Z and C - Sunday Brunch it is at Public. We love the decor here and the interior space...Quite lovely. We had the following items: Tea-smoked salmon, spinach and poached eggs on toasted sourdough with yuzu hollandaise  - They had ran out of the Waffle and I wanted to get something else that had Yuzu, so I ended up going with this dish. I felt the tea-smoked could have been a good idea if it was executed better. Although the tea smoke overpowered my taste buds, I still found the salmon to be a bit fishy. Grilled venison burger on a miso bun with tomato chili jam and cassava chips - Z and C both got the burger. I didn't care for the tomato chili jam, it was too sweet for me. I would have preferred regular fries over cassava chips. However, Z and C really thought their meals were fantasic and delicious. Ice cream sandwich with chocolate chip, cardamom and pecan cookie and stout ice cream  - The cookie was actually not rock solid hard like Meatball Shoppe version. It was okay, I guess I still like the traditional cheap version of a good old fashion ice cream sandwich. Hokey Pokey ice cream with passion fruit caramel sauce - Um, nothing exciting. Service was good and attentive. I would come back to try other things though.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.288888889; Sentiment_Subjectivity (from 0 to 1): 0.471260684 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: J's coworker suggested this place, meanwhile this place has a B rating. Anyways, we got a bottle of red wine, J wasn't into it, but whatever, we drank it. We shared the following items: Spieino di Mare - grilled shrimp and calamari. Calamari was good, but I felt the shrimp was a bit overdone. Tagliatelle alla Bolognese - it was good, but I definitely would have preferred if it had more of a kick. It was a bit bland, but pasta were cooked perfectly. Salmone Croccante - salmon wasn't fishy, so I was surprised, but the spinach was super salty. Didn't try the potatoes...but this dish was eh. Panna Cotta - I love panna cotta, but they seriously should have just called this a flan and not a panna cotta. It was overly sweet, thick and rich and hard to cut. Not a good panna cotta. This place is freaking small and the cash only bit really sucks, since this isn't Chinatown and you're dropping over 100 bucks for dinner.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.128333333; Sentiment_Subjectivity (from 0 to 1): 0.584166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 got done meeting with my crazy mid-term group and I definitely need some E time, since I was around E's hood - made an impromptu plan with E. I have to admit - I am a bit of a control freak, I am used to picking where to go and eat. I don't like to go anywhere, unless I have heard of the place. E suggested French or Italian - I am not a huge fan of Italian food. It is on the bottom of my list - I am just not into pasta or heavy food. But whatever, I gave in to E's suggestion and we went to Pepe Giallo, only because the French place might be too crowded. This place was quiet small, I do love the huge floral arrangement with amber coloured lights - sooooooooo pretty. I really love the complimentary bread - soft and dip it in the spicy oil concoction...delicious. We got the Calamari - nice that it's not fried. It was really good in the red sauce. We gobbled it right up. Mussels - they didn't give us an empty plate to throw away the shells. Good, but nothing life changing - as simple as sauce can get. I got the Penne Meatball, only because the waiter said I should get this over the bolognese if I like things spicy. Yes, I like spicy, but this wasn't even spicy. It was good, but I wish it was spicy like it says on the menu. E got the Ravioli special I think - I forget what it has in it, but E loves the sauce. I mean E's sauce looked just like mine. This was a nice surprise and change for me - I would come back if I ever this far away from my zone.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.142914747; Sentiment_Subjectivity (from 0 to 1): 0.546294163 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rename this place to Vanessa's Dumpling and I am not sure if this is the place where my friends used to go or if there is another no name dumpling house... but I don't care for their Sesame Pancake with Beef. THANK GOD I didn't go crazy and ordered a whole bunch of them! L and I decided not to go crazy and just ordered one to share and I told her that Prosperity Dumpling is so much better. The Sesame Pancake is a lot more fluffier and softer in texture.  Not to mention it was already made spicy and since L trusts my judgments we decided to leave Vanessa's after being disappointed. We got to Prosperity and L loved them more and said I was right! Yes, Prosperity is smaller but it's so much better!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.102678571; Sentiment_Subjectivity (from 0 to 1): 0.639550265 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for an event - I only got to try their basil pizza and it was delicious! W and I both thought the place was cute....really small on the first floor, but downstairs is a bit bigger. We couldn't really hear the music too well. I would be back to try what else they have to offer here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.171428571; Sentiment_Subjectivity (from 0 to 1): 0.49047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We got the #7 - some sort of wrap and it was really good with the Sriracha and Hoisin sauce drizzled on top. We got the #1 Roti Canai - M and I shared this dish and love it. Not too greasy. I wish there were more roti. We also got the #3 - which is deep fried tofu stuffed with bean sprouts. M and K love the peanut sauce on this dish, but I didn't really care for the flavour of this dish. Vegetarian Lovers Dream? - I think this was the name of this dish that K ordered. I love the tofu and mushroom in this dish. Sooooooooooooooooooo good. This was probably my most favourite dish along with the roti. M got the Assam Curry Fish Casserole - I didn't like the tomato based curry. It was good, but a bit too sweet for me. Bathroom here was freaking clean! SURPRISED!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.445238095; Sentiment_Subjectivity (from 0 to 1): 0.567857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay I finally got a hold of the mango pudding....eck. Gross - so damn sweet! YIKES! I should have just stuck to their halo halo and flan. S got the Dasilog - ummm, I am not into this skinny fish.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.26171875; 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: E and I came here for more tequila.... it was pretty dead, so service was stellar! Bathroom was disgusting though - urine all over the floor.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.0275; Sentiment_Subjectivity (from 0 to 1): 0.63 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, I finally found out what that blob of wonderfully delicious goodness was on my charcuterie board....LARDO PESTO. Damn, that thing is magical and addicting - so damn good I went back for more with N. Not to mention, I want to use it as my lip moisturizer - seriously, my lips would never get dry off of this stuff. Super yummy - Get it. Please can this stuff and sell it. I got the King of Salame again - it's too damn good, not to order it again. I switched out the prosciutto and got the Fegatini - duck liver mousse, passito wine and Weinkase Lagrein soft cow's milk cheese. N wanted to get the sweet bread, so we did and N ended up hating it. I didn't think it was bad, but I just wasn't into the sauce they paired it with, but otherwise it was good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.259375; Sentiment_Subjectivity (from 0 to 1): 0.597916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: G was in town from Miami and wanted Hot Pot from Quickly - the unusual warm weather in March left me not wanting anything that was "comforting" or brothy. I asked G what else and G said anything Asian. I found Pinto and when I saw that Pinto Ice Tea - I was like I have to try it. Yes, pretty presentation and G loved it. You don't even have to add the sugar. We got the following: Papaya Salad - so refreshing but not as spicy as Pok Pok...still good. Pork Butt Salad - this was suggested by the waiter - it was good, but really heavy and filling. Shrimp Pad Thai - good, but after that Pork Butt Salad...it was a bit of a struggle. I wish they gave you lime, but this place didn't. I had to ask for it, but they gave me lime slices that you use for cocktail not lime wedges. I needed more acidity. Chicken Pad Thai - G loves it. Service was good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.31372549; 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: Finally came here with E and try this place that K recommended. I didn't really have high expectations for this place, since BBQ joints doesn't really impress me much here in the East Coast. We tried the Brisket Sandwich - the bread, a bit dry and too thick for my liking. I would prefer for them to give you a nice au jus of some sort to perhaps make the bread less dry and more flavourful. They do give you the BBQ sauce on your table, but it is only one flavour and really hard to get out. Spicy Sausage - This was good, but had to dip this in the bbq sauce and eat it with the pickled vegetables to make it better. Underwhelmed. E really liked it only because this was E's first bbq experience. I prefer the vinegar cole slaw than the creamy. Oh it was also super annoying that their ceiling had a leaking problem during the storm. You couldn't get a place to sit without getting water dripping on top of you.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.14531746; Sentiment_Subjectivity (from 0 to 1): 0.582063492 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am not sure if they stopped giving out pickles or perhaps it's just this location sans pickles, but I want to say I am in love with their Shrimp and Corn Chowda!!!! They have a lot more soup options here than their East Village location. Their Haddock Chowda was pretty tasty too, but I prefer my Haddock as an entree rather than a small feature in my soup. I really enjoyed my Shrimp and Corn Chowda - my first time having this sort of combination and it's well worth the trip. Of course, I also got the amazing lobster roll with empress claws!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.338888889; Sentiment_Subjectivity (from 0 to 1): 0.602469136 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ONLY because my dinner with C changed to lunch. C got their chicken soup with crispy fish tacos and I got the shrimp tacos. They're small and didn't come with any additional salsa or hot sauce. It wasn't spicy at all. I mean it was good, but lack the kick that I was hoping for when I read jalapeno. Hostess was nice though!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.076785714; Sentiment_Subjectivity (from 0 to 1): 0.783928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can we say GRILLED CORN topped with oodles of chili powder, mayo, salt and pepper, and a hint of citrus-lemon flavor! I think I ordered the taquitos there---I THINK (or was it some small tacos here)!  But all I know is I LOVE LOVE LOVE LOVE THE GRILLED CORN! Me want to holler at it everyday! The only con about eating these delicious lovelies----my grill looks crazy afterwards! (cuz me gots corn all up in my grills!) So don't try going here with any cute boys!!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2625; Sentiment_Subjectivity (from 0 to 1): 0.73 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently found out that Alleva Dairy supplies their cheese - I didn't make any ill comments towards Lombardi's cheese. I just don't like the pizza itself - I still think the toppings are overly salty!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.3125; 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: Last year after going to the Roseland Ballroom for the Halloween Bash with my friend John- we heard about this place from Jeanne's friends. (she was the one that convinced us to go to Roseland Ballroom) After leaving Roseland, Jeanne's friends offered to take us back home.  When we were in their car, they were raving to us about this place that's just a cart.  They kept on saying how good it was and we got to try it. John is such a laid back character--- he gets all excited about the food too!  So John and the rest of them ended up getting out to wait in that ridiculous line - John asked if I wanted anything.  I told him I'll pass since I wasn't hungry. The driver and I sat in the car and waited for them.  During the wait we saw two Indian guys approached this one Indian guy while he was waiting in line.  I guess these two Indians were trying to start some mess with this one Indian dude.  All of sudden that one Indian dude's friends all came out of no where.  There were about 18 of them against these two Indian fellas. I guess since they were outnumbered, these two guys ended up backing away and got into their get away rickshaw.  Yes, I said RICKSHAW---not a get away car but a damn Rickshaw. The 18 wanna be gangstas---they shouted after them while the two dudes in the Rickshaw shouted back saying they will get them soon. First of all, I found it to be HILARIOUS and Second, they are bunch of posers!  If they really wanted to do something, they could have done something - They are just bunch of children! After that a whole fiasco, they all came back into the car. John ordered this large order of the Chicken Platter and they got him so excited about the food. I swear that boy gets excited about everything - he's so crazy! They ended up taking us back to my place where John ate his food - I just had a bite from his order.  It was good, but it wasn't so freaking good like how they were describing it nor did it taste so good that I couldn't stop eating it. I ate one bite and that's it! John, who was all excited about it - was no longer excited about it anymore. He thought the same thing as me. However, I am glad that I got to try it and I enjoyed watching the show down while I waited for them.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.172391833; Sentiment_Subjectivity (from 0 to 1): 0.474756784 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: K wanted to get oysters around the area and I have never been here before, but I have heard about their oyster specials. The oysters are good, but we didn't get the special, only because both of us could not stomach anymore alcohol. Lobster Bisque - it was the right colour, not that weird brown colour that I have received at certain establishments like Red Hook Lobster, however, the taste wasn't cutting it for me. It was missing something and not sure what they could do to make this dish better. Angels on a Horseback - Raw oysters with bacon, ummmm, it sounded like a good idea, but the pairing just didn't complement each other well. The bacon was too much and it overpower the goodness of the raw oyster. You're basically just eating fatty bacon with horseradish. Crabcake - I read the description: LUMP CRAB MEAT and this is the only crabcake that I like, but what I don't like is when a restaurant tells me it is lump and yet I get served something resembling cat food from a can. Service was good though - I would come back for the raw oysters and try other things, but definitely not items like can be a total fail.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.018593407; Sentiment_Subjectivity (from 0 to 1): 0.524083028 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was trying to force D to try sushi, but there was a mix up at Tomoe and ended up coming here. I don't know how I can be friends with D, because D is super closed minded and not well versed in food. I have to explain the menu to D and meanwhile D is half Italian. I figure Italian wouldn't be a problem for D, but it was and D reluctantly ordered things here. It so happened to be restaurant week, so we had the following items: First Course: Oxtail & Lingua Terrinna - I got this and I tricked D into eating it without telling D what it was, but D didn't like it at all. I thought it was good. Roasted Sunchoke & Fennel Insalati - D never had sunchoke and picked it up like I was asking D to eat raw squid or something. D said this dish was too salty. I thought it tasted a bit too sour, like it was more pickled than roasted. Second Course: Tonnarelli Cacio e Pepe - this was so good and yet, so simple. I think because I love black pepper and it had a nice kick. Pork Loin with Broccoli Rabe & Soppressata - D thought it was weird that Pork Loin was a bit pink and not cooked all the way and does not like Broccoli Rabe and never ate Sopprressata. Omg - I told D you eat pepperoni, it is like it's cousin. I thought this dish was good and the meat was tender, because of the fact it was cooked medium-well. Third Course: Tartufini - I need to remind myself that I am not into this dessert. I keep forgetting I had this dish so many times, because of all the set menus I had here. D liked this dish, but I thought this was way too sweet and heavy. Biscotti - D got this, but I know D preferred my dessert more. I didn't get biscotti, only because I can't do hard cookies. Service was extremely slow that day.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.138881521; Sentiment_Subjectivity (from 0 to 1): 0.441736137 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: N and I came here since we were in the hood and didn't know where to go that was close to the bike shop, so we came here. The fries didn't taste so good - I felt they reheated them or it just tasted like they were. I got the breakfast burger - good, but the buns were cold and just wasn't into their buns. N got the lamb burger - that was good, but again...the damn buns. N liked their lemonade, but I thought it was just okay. Cute place, but work on the fries and buns and then I'll come back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.6375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best Pizza in NY!!!! Every time anyone asks me for direction to nasty Lombardi's - I ALWAYS try to convince them to go here. I love their calamari and their own extra virgin olive oil! Not to mention their focaccia - YUMMY! So damn good! Bolognese is a must too!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35; 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: C and I wanted something quick in order to catch a movie... we decided to come here since he always wanted to try it and I told him I heard the burgers were good here. We both thought the burgers were okay, nothing special or extraordinarily about them.   The service was really really really slow, even though the waitress was only covering two tables.   It's a cool spot, but I didn't believe the burger was so good that everyone here yelped about it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.33042328; Sentiment_Subjectivity (from 0 to 1): 0.646825397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Z was alone and needed a buddy, so we made plans for a Saturday dinner and I gave Z a list of places that I have been wanting to try for awhile. I gave Z a lot of choices and Z surprisingly picked Traif in Brooklyn. We both got the Rude Little Pig - Lapsang infused tequila with pomegranate and BACON RIM - WTF. We're both like OMG, we got to have it and we did. It was really good and Z had to have another one. We got the following items to share: Tempura Trumpet Mushroom - I love yuzu and this had yuzu, even though I couldn't quite detect the yuzuness, it was still good. Foie Gras - Hands down, this was the best foie gras I remember to date. Super tender and so damn good.  Cooked to perfection. Salt and Pepper Shrimp - really nice flavouring, this would be good as a whole shrimp, so I can suck the damn head. Short Rib Sliders - Super moist and tender meat. The breading was super soft too. Love. Pork Belly - love this too. They also gave us a complimentary Vanilla Chowder - so delicious. We skipped dessert in order to have dessert at OddFellows. I am a total fan! Really good and convenient location.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.350277778; Sentiment_Subjectivity (from 0 to 1): 0.575555556 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They up their price and edited down their menu but who cares... I FREAKING LOVE THIS PLACE. You want to know what else I LOVE LOVE LOVE LOVE LOVE here? Their WONTON SOUP...it's sooooooooooooooooooooooo freaking good and I am obsessed with the roasted shallot aroma of the soup. I hate Cantonese style Wonton soup - you know the one that's covered in the yucky yellow colour wrapper.   BLEH! I wish it was a lot closer to me because seriously I would holler at this place everyday at work. LOVES...!!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.109448451; Sentiment_Subjectivity (from 0 to 1): 0.588888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was supposed to come here with Phong-lan but I had to meet my friend in Brooklyn and coincidentally this was the place she has been mentioning to me about and so we came here for brunch.  This place took me back to the cafés in Paris.  I am so happy that the couple that owns this place just decided to pick up their things from France and move to New York - because this place is so cute and filled with delicious crêpes !  They also have my Café Viennois there, so I was super excited but too bad I didn't have enough appetite to try everything there. I definitely will be back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.237058081; Sentiment_Subjectivity (from 0 to 1): 0.619823232 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dude...where did my review go? I came here with R on my birthday, they played old school hip hop, which I love, but went back here with J and they were just playing some oldies. Good cocktails....I usually get Double Haul, because I love Tequila.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.221428571; Sentiment_Subjectivity (from 0 to 1): 0.321428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Round up the troops and got us some Fried Chicken Dinner. Y, A and I got here first and A ordered the Captain Lawrence beer and exclaimed, how good this beer tasted and it tasted like a steak. I don't like beer, but I can do a steak - took a sip...umm it didn't taste like steak, but I didn't mind this beer and I hate beer. I got a Bloody Bull from our waiter Travis (He's so dreamy with all his tats and piercing!) and Y ordered some other beer, but later switched to Captain Lawrence. H, L, A2, and D finally arrived and we threw down on some Fried Chicken. Super moist and crispy - I am not even into American Fried Chicken and I really enjoyed their version. I don't like cole slaw and I like their version too. Less watery and more flavour! The other sides like Grits, Refried Beans and Mac & Cheese - everyone loved. We also got Kale Salad, Pig tails (I am glad they switched their hush puppies to Tater tots) and Tripe Chili. I really have to say they made a Chili lover out of me. I still need to come here for brunch! We; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.024470899; Sentiment_Subjectivity (from 0 to 1): 0.569312169 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A group of came here and we made it in time for Happy Hour. Most of us drank the Caracas? - some mango drink with rum. It tasted like juice, but it was strong and still good. I had a good helping. The complimentary crispy flat chips - they were pretty heavy handed with the salt and it wasn't only me that thought this, but the whole group agreed that they were beyond salty. We didn't have any entrees, but just small bites and we had the following. French Fries, Beef Aioli - this was H and I's favourite dish of the night Shrimp Toast au Jus - this didn't do anything for me. It was cute to look at it. Brisket "Tots", Potato, Mustard - this was good, but the beef aioli with the fries....gosh, who needs ketchup? I actually was coming here for dinner, but had to cancel due to a change of plans, but I definitely will come here to try a full meal.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.241666667; Sentiment_Subjectivity (from 0 to 1): 0.529166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 restaurant week to see what this place is all about and please confirm your reservations and call them back, because they are not kidding and dead serious especially when they call you like multiple times. Sorry - I am busy. I am used to places where they call you to remind you and call them back if you CANNOT keep the reservations. The place has a nice ambiance - small space, so tables are really close to each other. We got the following items: Mussels - I thought the mussels tasted a bit too fishy for me. Flavouring did not stick on the mussels. I expected the mussels to taste better, but it just was not cooked or done well here. Gumbo - I know my gumbos and this gumbo did not hit the spot. Also, it was a bit too salty. Supposedly there were shrimps - hellos, where are you? Duck Fat Popcorn - really good, this was my favourite thing of the night. Organic Chicken - skin was done perfectly well, not overly dry, but almost there...not juicy enough. Seasoned well, except the skin was overloaded with too much salt. The pairings were nice. Short Ribs - very tender and cooked well. But I am not a heavy meat eater, so this is good choice for someone who loves their meat and to eat a hearty meal. Vanilla and Almond and Praline were just okay ice cream, but I was more in love with the Blackberry Sorbet. So nice. Should have stuck with the sorbets. The Chocolate pudding bit - pretty presentation, but no a good dessert. Eh? I wouldn't come back here, only because nothing here left me wanting to come back here for more. Duck Fat Popcorn,was good...but not life changing, besides I much rather have the truffle popcorn at Desnuda. Sorry - underwhelmed over here and not impressed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.11402439; Sentiment_Subjectivity (from 0 to 1): 0.513211382 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only tried the Goi Cuon - they're not Vietnamese. Goi Cuon - the rice wrapper could have been a bit softer and more delicate, but overall good with the pickled vegs.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.18; 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: Get the Hair Trigger - done. Place is super small and not easy to get to the bar. Okay scene......; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.091666667; 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: Okay H had to go to Toronto, and needed it to be an early night and the reservation was for 6:45 pm and I called to see if we could do a 6:00 pm or 6:15 pm and the hostess said they were completely booked. But if we do come earlier, they would be sure to try to accommodate us. We got there around 6 ish and the hostess said we should take a seat while she tries to accommodate our earlier arrival. We waited and waited and H was like, ummm....I think she forgot about us and she went to check and we got sat immediately. I did not know this restaurant was located right in the lobby of the hotel. I thought it was upstairs or something, because right when you walked in, I saw TONS AND TONS of empty tables, but since they were totally booked I naturally thought this couldn't be it, but it was. Seriously, the black hostess with the bad weave really needs to get it together. Just seat us, rather than chit chatting it up with the shorter counterpart. Our waiter was Andrew I think, he was the tallest waiter there, he was super nice and was apologetic for not singing me my Happy Birthday song. I had some delicious cocktail - I can't remember what it was, but I think it had yuzu? It was yellow, that's all I remember....but it was good. We shared the following plates except entrees: Roasted Mushroom Flatbread maitake & oyster mushrooms, gruyere - okay this had a bitter taste due to the arugula, I like arugula, but just didn't like it with the gruyere. Nothing on here balance one another out....wasn't my cup of tea. Candied Bacon black pepper maple glaze - this is what David is known for, his whimsical take on presentation.Super cute clothing pin holding up our slabs of bacon. Really good along with he pickled vegetables. Lobster Dumplings fresh coconut purèe, green papaya, thai basil - this was good, but you taste the coconut more than the lobster meat. Roasted Clams & Shrimp Casino shishito peppers, bacon, lemon, orecchiette - needed more acid and I really really could do away with the gigantic croutons. Seriously, I don't need that when there is already enough carbs in here. Frozen S'mores Napoelon for Two graham cracker cake, chocolate semifreddo, coffee marshmallow - seriously, Dominique Ansel needs to take note. David's frozen s'mores were 100% way better than his. I wasn't a fan of Dominique's - it's cute, but the taste didn't taste anything different and it was super messy. The frozen s'more here weren't mess and it was beyond heavenly good. Service was good, but I was really turned off by the hostess here. Seriously, get it together....; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.179428571; Sentiment_Subjectivity (from 0 to 1): 0.535873016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Five Stars for it being GREEN! I wish more business establishments would take the time and make their restaurants more eco-friendly. The line system sucks but hey, it's green so I can look pass this flaw. Corn and Margaritas are delicious!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.208333333; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Did Yelp erase my first review? I can't remember what I had before and the app doesn't let you check out your own reviews and now I am here and I can't even find my very first review. I am not sure what I ordered before and I was trying to figure out what were the dishes that I liked here. I haven't been back here since they remodeled the place. It looks nicer and less "chinatown" feel. They even have put in a bar. W and F came here before and they said next time we need to come here with me, since they ordered a lot of bad stuff. W and I ended up coming here and I told their well known dish and for any Malaysian restaurant is to order their roti canai.  Still good and still love it - I wish the roti were bigger. Nyonya Poh Piah - steamed malaysian spring roll stuffed with white turnips, eggs, minced shrimp and dried onions . This was okay, needed some hot sauce or something, but it wasn't too flavourful. Mee Siam - I can't remember if this was the mee that I ordered before, since Yelp erased my other reviews, but this was okay and it wasn't as good as the other mee that i had. Or perhaps they change the recipe?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.167916667; Sentiment_Subjectivity (from 0 to 1): 0.484444444 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: T emailed me last minute and asked if I wanted to come here before T zooms away on a business trip. Since T and I totally misses each other when we don't see each other for a long period of time.  Well at least I hope T does as much as me! =OP So of course I said YES since I was experiencing T withdrawal...haven't seen T for over two weeks or perhaps it was just a week but it seriously felt longer! Okay this review is not about T but about Super Taste! E and I usually go home together but I advised I have to meet T for dinner. E asked where and I said Super Taste but I told E I never even heard of this place before. E said SHOCKER since I am a total Foodie! After T and I walked over there - I discovered the reason why I never heard of this "restaurant" before.  It's a hole in the wall place and I wouldn't even call this place a restaurant. This place is filled with ASIANS only!  I guess it's a good sign if you're going to get Asian food. T and I sat down and both got the Spicy Beef with hand pulled Noodles.  I was excited to see they were hand pulled but they're not the version that I was hoping for.  I like the big fat type of noodles but these were the small ones. *sigh* The noodles were good but I didn't get to eat any of the hefty loads of meat that they put in each bowl.  I don't know the specific name for this meat but it's the meat that are sliced thinly with a thin zig zag lines of transparent areas. But I love the spiciness of the broth and so no need for any extra flavouring. We saw this guy that was sitting next to us that was gnawing on some mixed beef.  He looked like he LOVED it.  But the way he was eating it totally makes you loose your appetite. P.S   They don't have real silverware...everything is PLASTIC even the soup spoons!  More waste added to this polluted Earth!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.080738706; Sentiment_Subjectivity (from 0 to 1): 0.459993895 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 small, so pretty hard to score yourself a seat during prime lunch time. Never noticed this place, but S suggested coming here, so A, J, S and I came here for lunch. S and I had the Bell - it didn't taste like a regular hamburger. It was more like a meatloaf of some sorts inside a focaccia. It was juicy, since it just wasn't a regular ground beef, it had onions and other things inside. It tasted a bit "healthier" and not as heavy. It was good, but not the best burger and I wouldn't even count this as a burger. A prefers burger to be round and so opted for the Spicy Italian Sausage pasta. Not sure how it tasted. J got the Bronte and raved about it. Perhaps I should have gone with the Bronte?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.087179487; Sentiment_Subjectivity (from 0 to 1): 0.435338593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 picked this place and D has never had Korean BBQ. Everything is weird for D, D will not try a lot of things. This is someone that I definitely can't just pick a restaurant and expect D to be okay with the food. I have to make sure the place is not weird or for the adventurous eater. D approved the Korean BBQ and was willing to give it a whirl. I wish they offered more and better banchans. Their kimchee was good, but we didn't get that many variety of banchans. The Galbi here, I really love - marinated perfectly. However, I didn't care for their seafood pancakes here. They put the imitation crab sticks in their version. I hardly got any real seafood. Sigh. This was definitely a disappointment. The other downside is they don't take reservations and they don't even call you if your table is ready. I would come back here with another friend that is more open minded to food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.225; Sentiment_Subjectivity (from 0 to 1): 0.561616162 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been wanting to come here forever, but none of my friends like to go outside of the city. Lucky for me, C and Z are down for the trip out to Queens! They have no cocktails here, so we shared a bottle of Rose. Sigh. A bit boring, since I do enjoy a well put together cocktail. We shared the following items: Fuji Apple Salad, baby arugula, speck, candied walnuts, goat cheese, lemon honey vinaigrette   - really delicious. Though, the speck could have been a better quality of protein. "Shaved" Hudson Valley Foie Gras, cinnamon, mandarin oranges, bacon brittle  - I have seen this on Top Chef, where they freeze the Foie Gras and I have to say this was our favourite dish. Tasted like ice cream and it simply melted in our mouths. LOVE. Uni toast, brioche, lardo, yuzu gel, truffle oil  - this was also good, but the Shaved Foie Gras still has my heart. BLT buns, braised bacon, spicy mayo, bao bun  - I do love a good bun and I always had these buns growing up and so they are nostalgic to me and I had to order this "boring" dish. It was good. Roasted Berkshire Pork Belly, Fuji apple kimchi, yuzu creme fraiche - I wasn't too into this dish, since I felt the Pork Belly could have been more tender. It is the belly, and I never had a pork belly that wasn't tender or moist. Their version was a bit dry. Fried Chicken, pickled daikon, herb ranch  - This was also another least favourite dish for me. Z and C enjoyed it, but I felt the skin could have been crispier and less dry. Chicken was moist, but this wasn't worth the calories. Dessert: Lychee Panna Cotta, Yuzu Buttermilk Sorbet  - I live for Panna Cotta and though I am not a fan of Lychee, I wanted this dessert. Their panna cotta was a bit too wonky, they need to work on the consistency. Rice Krispies, Marshmallow Ice Cream - Z never had a Rice Krispie treat before and so Z wanted to try this and I was more curious about the Marshmallow Ice cream. The treat needs work, but the ice cream was a winner. Ice Cream & Sorbet  - We also got this, Z went a bit crazy and I wasn't too into the flavours that the waitress from Missouri told us about. I forget what they were, but I wasn't into any of them. One was Ginger & Watermelon Sorbet and I think the other one was Chai Tea Ice Cream (this was the better one) and can't remember the third scoop. Overall, I love the Foie Gras, Uni, Salad and buns, but I can't give this place a full five star, only because I don't believe every dish that I had were winners. However, we all love the Bacon Popcorn - delish and addicting. I also have to comment about the decor here, I am not one for decor as long as you give me good food. But this place should totally revamp their space, clouds on the wall in the bathroom and mix matched things out in the front of the house. Just looks really odd and not to mention the dirty ceiling - I don't know, I really think they should match the space to the food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.101817084; Sentiment_Subjectivity (from 0 to 1): 0.560239821 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the first time ever with C - C wanted to get their gelato here. I am not into their pistachio gelato, I should have got their raspberry sorbet. Small cup = one flavour only - totally not like Amorino. We got some espresso cups - yay. Cutes.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.620833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would come here for the wine, but I definitely wouldn't come here for the food. The seats at the bar are really uncomfortable - you can't really sit facing straight, since there's no room for your legs to rest comfortably underneath. Tuna - ummm, underwhelming and bland. Shrimp Ceviche - definitely could have passed on this dish Mushroom Tart - the only thing there that I didn't mind - thanks to Joy C. review. Pita with White Bean Dip - sigh waste of calories and room. It wasn't disgusting, but totally could have save my stomach room for something else. Service was good, but I think we should have gone with the pizza. I believe it is a safer route.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.042222222; Sentiment_Subjectivity (from 0 to 1): 0.532222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recently opened up and it was not my choice to come here, but I didn't want to be always the one picking the restaurants and not willing to go with other people's choices - I begrudging agreed and we came here for a later dinner on Saturday night. F, W and I came here and we shared the following four plates: Dates with Bacon - aka Devil's on a horseback, W thought I just made this up, but this appetizer was a huge hit about 6 years ago. Moving on, their version had less date and more bacon flavour. I like their version, only because F and I are not fans of dates and the dates didn't over power the bacon. Though their version is not as fat as The Spotted Pig. Risotto - Are you kidding me? Not consistent at all with the texture, I had a lot of hard pieces in my portion. W liked it, but then again, W also thinks gummy and pasty gnocchi are excellent too and hard rock panna cotta is a solid dessert. Bone Marrow with Short Ribs - Bone Marrow, not seasoned, since they were relying too much on the short ribs to flavour the marrow. It didn't and the short ribs were soft, but this lack flavour as well. Codfish - Texture needs a bit of work, but this also lacked flavour. When the waitress asked us if we wanted anything else, I quickly said no, since I had enough of this place. I've been here, when I believe it was Salt and it wasn't as jammed packed with table as Thelma's. Their squeezing in too many tables for such a cramp space, W's legs were on top of mine and I had to move my legs closer to F's.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.10308642; Sentiment_Subjectivity (from 0 to 1): 0.443518519 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, I haven't been back to Shake Shack for years - not sure why, but I guess burgers hasn't been really on my list of things to eat. Or I just want to avoid the craziness of coming here. Well my friends were in town and J would not shut up unless we ate at Shake Shack and so after two failed attempts of satiating J's hunger for a burger....we finally came here to simmer J's constant Shake Shack reference. We ended up getting Shack Stack Burger - I never ordered this one before, but it is J's favourite and so I decided to split it with N. Yes, it was good and the bun to meat ratio was really good. Cheese fries - delish, and their fries gotten better. I used to didn't enjoy their fries. I tried their concrete as well, but J didn't just get me Vanilla concrete, J got me mix-ins of strawberry, which I didn't mind, but the chocolate truffle cookie dough....umm, totally not my type of mix-in. It was way too heavy and gross for me. Overall the entire thing was too sweet. I'll just stick with the burgers.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.142105263; Sentiment_Subjectivity (from 0 to 1): 0.449853801 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh yeah, I forgot to mention they charged me $4.50 for a FREAKING CAN of Pellegrino Limonata. A can - the same size as everyone sells for $2 - $2.50. I wasn't sure how much I usually pay at other places, so I didn't make a big deal, until I started to check how much I usually pay. The up-charge for this drink is beyond ridiculous and not to mention damn criminal.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.107291667; Sentiment_Subjectivity (from 0 to 1): 0.442361111 [/INST] Not Spam</s>