Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been here a bazillion times, since they first opened. Since I've lived in Mexico I respect the no-TexMex rules, strong margs and chill vibe. Love it. Usually go every other week or so. Usually a favorite, although they have gotten a bit snobby lately about seating - went in around 5:30 on a Sat night, and they wouldn't give the 3 of us a table for 4! They wanted us to squeeze into a 2-top to "save room." After some discussion we walked out without sitting down. Again, this has only happened once, but I was FURIOUS and have avoided it for a while since. Will try again, hope it was an isolated incident. As a regular, I'd be pretty bummed to have to give it up.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.093434343; Sentiment_Subjectivity (from 0 to 1): 0.568861694 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Alright, so I wanted to try the avocado toast so I came here for lunch one day Got the avocado toast and cappuccino. I don't know if it was because I was alone or not, but service was slow starting the beginning. I tried to catch the eye of the guy behind the bar because I didn't know where the wait staff/hostess was. He gave me a really annoyed look and just told me to sit anywhere. I sat the bar at first but the seat was too far from the counter (couldn't move because it's attached to the ground) so I asked if I could move to a small table. He barely gave a glance and told me yeah. For a while, didn't have anyone come and it seemed forever before I finally flagged them down to get my order taken, ask for some water, and idk, seemed like they didn't want to serve me. Rarely got a smile (maybe it was a bad day for them, giving them the benefit of the doubt). Anyways, moving on. The toast is pretty good... except it's $7.25 and that's just way too much. It's the kind where you go once to try, but it's not worth it to go again. Meh.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.02191358; Sentiment_Subjectivity (from 0 to 1): 0.532716049 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 loved it.  The closest you will get to Italy in your backyard without being in the bustle of our 'Little Italy'.   Everything a foodie or wannabe foodie like me could want in one marketplace.  There are different restaurant spaces, lots of 'best of' food selections including olive oils and balsamics, to walls lined with the best wines, fresh cheeses (a mozzerella pulling station..oh my!) and pasta. It was crowded with long lines however I respect the fact that it all moves fast so there was not any time to get frustrated. Birreria, the rooftop bar/eatery was just the right place to hang for some cheese and prosecco with colleagues after a workday.  Unique beer selections and wines abounded providing a distinct experience in a city where sometimes these places start to blend into one another. Mario did it again!  Thanks!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.278708791; Sentiment_Subjectivity (from 0 to 1): 0.47967033 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: corn = amazing; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.9 [/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: Outstanding Texalina (Texas & Carolinas fusion) barbecue! I would argue even better than than Fettesau, although that's no chump bbq either. The burnt ends and sausage are my faves. But the chicken wings are excellent as well. You just need to get your own blue cheese dip for them. The slaws, both vinegar and mayo varieties, are winners and the locked peppers, onions, cucumbers all go well together. Best of all, this doesn't make you feel overly stuffed or sluggish afterwards.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.446428571; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: -=THIS IS NOT A 4-STAR EXPERIENCE=- Let me be straight out with this one. We spent 270 bucks for a party of 6. We ordered plenty of food, including 2 casseroles/hotpots, various cold and hot dishes, and a bottle of Sake. So I won't think that I'm being cheap and bashing on the price, or that I didn't order enough to get a fair representation/sample of the food available. The hotpots are a MAJOR RIPOFF and DISAPPOINTMENT!! Whichever names they call it, be it the pork feet, the kobe beef, the whatever. The TRUE NAMES of these hotpots should be VEGETABLE HOTPOT because 95% of the ingredients in there are CABBAGE and LEEK/CHIVES. And the soup base... it made me really hallucinate that I'm drinking the soup from the 50cents Shin-Ramen. Did they buy 1000 packs of Shin-Ramen and cook a huge pot of soup first then sell you the Ramen separately as an add-on item? SERIOUSLY IT TASTES LIKE THAT. Comon Hakata Tonton!! I could have bought my own pork feet from Chinatown and given them to you. They don't even cost that much, what's with the stingy amounts of pork feet in a supposed port feet hot pot goddamit? When the waitress came and portioned it for the 6 of us, ONLY 2 OF US ACTUALLY TASTED THE PORK FEET. The rest were 100% vegetable... @#%#$^#*!!! On a slightly positive side the other dishes tasted ok, but nothing strikingly good (or bad). The sake was good too.. Well but they didn't make it. So fk it. Lastly, the reservation was so difficult to get. At first I thought that maybe this place is really popular, when I went in I found out that it was because the place was SO TINY. 150 sq feet??? They really can't accommodate bigger parties. Won't recommend this place. If you HAVE TO GO, party of 2 would be good. That way none of you will end up eating only a bunch of cabagges. NOT COMING BACK.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.101485247; Sentiment_Subjectivity (from 0 to 1): 0.566766348 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Upscale food court, perfect for date nights. Enjoy a delicious dinner (about $40 for 2 Unami burgers & 2 sides) and spacious indoor seating area where patrons can enjoy their food while  staring at the sinking golden sun over the Hudson. I'm looking forward to my next visit! :D; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.585714286; Sentiment_Subjectivity (from 0 to 1): 0.642857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Friday night. 8pm. 30 minute wait.........totally worth it! I can always judge a thai restaurant by it's pad thai. And it did not disappoint. I also tried the red curry with beef. Quite good, but too spicy for me! It also had a bunch of okra in it which grossed me out. The steamed shrimp dumplings as an appetizer were also delish. Then I tried something resembling a scallion pancake which was outta this world! The prices were good and service was fast. Some of the best thai food in Queens.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.545833333; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their Skate fish sandwich just blowed my stomach away. Real gem in my neighborhood. SALUTE!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.390625; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think on the whole this restaurant was ok-- more of a 3.5 than a true 4 stars. The excellent service coupled with the ease with which they accommodated a birthday party of ~20 tipped it in favor of 4 stars instead of 3. The decor is quite nice--there's essentially two areas of the restaurant, a front portion with a bar and a back portion perfect for birthday gatherings. The birthday girl's bf did a fantastic job of planning the event and the surprise birthday party went off without a hitch. The staff was very welcoming and I thought everything came out at an appropriate pace. The one thing I'm not sold on though is the food-- but I've come to realize that Mexican and Latin American food just isn't that good. It's serviceable and filling to be sure, but it's just so devoid of flavor or punch. I can't recall ever being impressed by a single Mexican restaurant in recent memory. It's doesn't have the spice of many Asian cuisines. It doesn't have the buttery wellroundedness of French cuisine, the crisp and light notes of Greek or Italian (not the bastardized guido American version with foundations in cheese and pasta), the earthly saltiness of Ethiopian. Nothing like any of the above. The only thing that I can identify Mexican and Latin American cuisine is graininess. There seems to be corn in everything. And it's always the same few proteins and staples slapped together. What are tacos, quesilldias, burritos, and enchiladas but corn, tomato, rice, lettuce, cheese and a protein smacked together and arranged in different ways? I even tried the Antichuos (sp?) featured on their app menu and it was edible at best. The heart, liver, and other offal meats were barely cooked enough to eat, let alone to enjoy. The main dish, a duck thigh and leg soaked in black bean sauce....was once again grainy. And not that great. I think I'm just going to avoid Mexican places in the future...but if you like Mexican food...then I guess you should check this place out.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.216746032; Sentiment_Subjectivity (from 0 to 1): 0.356366843 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Eataly twice, and I always loved it. I had a taste of their rare Red Cow Parmesan Cheese, and believe me, it was the best Parmesan cheese I ever had. Two thumbs-up.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.373333333; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great bar located in the heart of Greenwich village. After wandering around lower manhattan we were thirsting for a bar with a good beer selection and a great atmosphere. The Malt House was the perfect fit! DRINKS - Amazing craft beer list, probably the best one in the area. They also have their own house brew which was an added plus. -Prices are reasonable - I noticed there were different happy hour specials such as $5 house wine and $4 drafts. -One cool note - the beer was served in mason jars which added to the overall experience. ATMOSPHERE -Very cosy. Roger the bartender was also really nice. When he checked my ID he noticed it was my birthday so he gave me a free drink! -The bar itself is really big. There was also a separate room away from the bar with more tables. OVERALL - Great find in Greenwich village. Its exactly the kind of bar we were looking for - great drinks in a warm and cosy atmosphere! Next time I'm in NYC I'll definitely be stopping by!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.457407407; Sentiment_Subjectivity (from 0 to 1): 0.574074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place years ago and but don't go there much since its not convenient for me.  Recently I have been considering a healthier diet and thought of this place again. I love this place.  Everything is so good. Its busy though and tiny.  I like the cute little store - with stools at the window and bench outside but there should be more seating and room to move.  I know of the other location which is closer to me, but every time I pass by its packed also.  I hear the truck is just as good.  Wish they had one in the financial district near Wall Street!  The mixed falafel platter is big but so delicious I end up stuffing myself silly. Its really worth the wait and the slightly higher prices.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.203125; Sentiment_Subjectivity (from 0 to 1): 0.435 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 about as much interest in the sustainable food movement as I do in dumpster-diving or installing one of those low-flow toilets that more gently jostle your deposit rather than properly banishing it from the human world, but if being sustainable and local and green and crap always leads to food this good, well then sweet granola God please by all means continue on with your hippie garbage bullshit until the cows you won't eat come home. I kinda wanted to say something snarky about this place, maybe try to call it pretentious or something, but really, I got nothing. Not a single complaint. And I've been sitting here really trying to think of one for a good solid half-hour at least. We ordered the shimp & grits, pork rillettes, brussels sprouts, and mac & cheese, and all of it was delicious, fairly reasonably priced, and surprisingly generous in portion size. Okay, the pork rillettes were merely okay--never been a big pate fan. However, I can say the brussels sprouts were the best brussels sprouts I've ever had. This may sound like sneaky faint praise, given that brussels sprouts are generally repugnant, and even fresh toenail clippings would stand a chance of being reasonably delicious if served with juicy bacon and smothered with cheese like these sprouts were--but this was legitimately, stand-on-its-own delicious, not just okay-for-a-disgusting-vegetable delicious. The mac & cheese, similarly, was right up there with the best I've had, and the shrimp & grits continued (and will probably close out) my mostly inadvertent Excellent Grits Streak of '10 (along with No. 7 and ICI). Service was great as well--it was crowded, so we had to sit at the bar, but the bartender was extremely mindful of topping off both our water (unnecessarily, since we had the bottle, but appreciated) and even the delicious jar of seasoned popcorn that served as our free munchies in lieu of bread. I was sort of sheepishly eyeing her in hopes of receiving a third jar of popcorn, but it's probably best for my waistline and corresponding self-respect that she didn't seem to notice. So while the Green Table may not have totally turned me around on the sustainable food movement, it at least showed me a lot of good can come out of it other than smug self-satisfaction. That is to say, I will of course continue to buy all my produce cheaply and chemically enhanced from the biggest goddamn Super Wal-Mart I can find, but I'll at least stop gleefully mailing local farmers pictures of me doing so. Hooray for the spirit of compromise!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25008658; Sentiment_Subjectivity (from 0 to 1): 0.501666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here at 5PM, because this place gets packed FAST!!! With that out of the way...I love, LOVE the food at Hagi. My favorite skewers are the pork belly (mmm), duck, chicken skin, and garlic. Their okonomiyaki is my favorite meal on their menu. Finish off with some Hou Hou Shu sparkling sake and I'm good to go start the night! The food gets 5 stars....but because the service can go from good to mediocre to poor, the overall rating goes down 2 stars. I've had 2 bad experiences at Hagi with servers asking for more of a tip over then 20%. It's sort of a turn off...but I still go back because of the great food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.18187934; Sentiment_Subjectivity (from 0 to 1): 0.609722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Most of the stuff is good. If you know what to order and how much it can be cheap.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.45; 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: The reviews said that De Mole was delish, so I rounded up some folks and we trekked out to Sunnyside. It took us crossing Queens Blvd three times before we finally got our bearings and found this cozy little restaurant (stopping to admire the lovely art deco "Sunnyside" sign along the way). De Mole is pretty small, but luckily we got a table with ease. The ambiance is welcoming and warm. Our cute waiter was super patient, answering our questions and not even getting annoyed when we kept adding "Just one more thing...." to our order. Three of us split a pitcher of sangria for $17 -- well worth it! Another in our group got a hibiscus water. Yum! For appetizers, the tamales were pretty decent, but not the best I've ever had. However, the ceviche was right on point. And the chips and salsa were great too. With the first bite of my enchilada, I knew I'd ordered the right thing. The mole sauce was the best I've ever had!  Everyone else at the table was too busy stuffing their faces to say much -- always a good sign. For some dessert, I had the hot chocolate. OMG! It tasted like drinking a chocolate bar. I will never be able to enjoy Swiss Miss again. When the bill came, I couldn't believe it -- sangria, appetizer, entree, and my hot chocolate "dessert" plus tax and tip -- Grand total? $22. Need I say more?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.320919739; Sentiment_Subjectivity (from 0 to 1): 0.628917051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fries in town!! So glad this place is still around. Was a fave in my NYU days and still going strong. There are so many dips to choose from. We love the Mexican Ketchup, Parmesan Peppercorn and Rosemary Mayo.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.488888889; Sentiment_Subjectivity (from 0 to 1): 0.522222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went back to try their mac and cheese with came with roasted vegetables and a drizzle of a tangy sauce.  I just had to update my review and say that their mac and cheese made it to my top 3 favorite mac and cheeses that I've ever tried.  It's not your standard mac and cheese that comes in a ceramic bowl with cheese charred on top.  It actually comes grilled in a square formation, but the best part is that not only is the top part crispy, but ALL FOUR SIDES TOO!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.347222222; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This restaurant is simply gorgeous and the food is outstanding. The garden is memorable and romantic. One thing that always lingered in the back of mind as irritating  about Frankie's is they wouldn't budge on their no reservations policy when I called to see if I could come in with my 91 year old grandmother for an early dinner on a Wednesday night. I know it's their policy but she doesn't walk so great and the entrance is a little cramped so I didn't feel comfortable bringing her unless I knew she would be seated ASAP. She was disappointed because an old friend got married here and she was wowed by the pictures. I'll have to bring her for lunch one day. Usually something like that would turn me off a restaurant forever but the food here is elevated Italian- it really really stands out among the 9,000 Italian joints here in Brooklyn.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.114583333; Sentiment_Subjectivity (from 0 to 1): 0.459722222 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is delicious but the operations of the place needs help. Expect to wait long for a table and the wait again for the food. Come during the weekday; it's better. I upgraded to 4 stars since the owner took time to reply to my review. Shows she cares.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My 100th review--hmm, no pressure here, really. I've loved Sakagura for years--great food (one friend swears the soba there is the best he's had since Japan, and I'm addicted to the onigiri), an incredible sake list, and an amazingly serene atmosphere that drops your blood pressure by 20 points just by walking in. Not to mention the occasional, Insane sake tastings (think the -entire- bar lined with bottles). Plus it's owned by the same people who run Decibel (love!) and the quickly-defunct Megadecibel. They added an outstanding pastry chef a couple of years ago as well, so now it's even more full of win.   Plus the coolest entrance ever.  It never fails to amuse me to bring a new person there--their expression is all 'Umm, you're leading me down the icky basement stairs? Great....' then they walk in the door.  It and Decibel are like Japanese speakeasies, only with excellent sake instead of bathtub hooch, and no police raids. My only complaint? Now there's the big sign outside the entrance, and everyone else knows about it too. *laugh*; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233548447; Sentiment_Subjectivity (from 0 to 1): 0.523830902 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went there with three friends before Christmas, because one of them rated this as his favorite burger. First the burger is not a hamburger, it's a hot burger sandwich. Good, but definitely not a burger. Second, the service was AWFUL. We ordered our Bronte burgers with a bottle of wine, and the guy forgot about it. We got our burgers after about 15 minutes, and still not wine. So after 10 minutes, we ask him about the wine, and we saw him take it out and put in on the bar, but he didn't uncork it. By that time we had finished the food, so we just told him we didn't want it anymore. Throughout the whole meal, we kept asking for glasses of water, and after asking twice, he came with only one glass, when the four of us were empty. Anyway, I don't think I'm going back anytime soon///; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.072727273; Sentiment_Subjectivity (from 0 to 1): 0.562121212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hakata Tonton is a Japanese temple to pig's trotters located in the West Village. The restaurant is quite small and given its popularity, I would highly recommend making a reservation way in advanced. Even when I made a ressie a week ahead, the first opening for a table for 4 on a Saturday night was 9:30PM, so plan accordingly. After taking a look through the menu, you will know that most of the dishes include pork of some sort - from ears, to belly and of course, the trotters. Here's what we ordered: + Spicy Tuna Carpaccio: might be the only non-pork related item we ended up ordering. I absolutely loved the fried garlic that accompanied it. I'm a sucker for fried garlic. Loved this. + Grilled Tonton Pork: we ordered 2 flavors, spicy garlic sauce and also with a yuzu miso paste, realized I didn't really LOVE pig's feet... + Okonomi-Yaki Pancake: delish, spongier than I expected, but who doesn't love this savory pancake covered in a sweet and tangy sauce? + Slow Cooked Pork Belly Buns: didn't love this, the pork belly was cut in a way where the fat slides off the meat, instead of one cohesive bite. + Garlic Fried Rice: who doesn't love garlic fried rice? + Hakata Tonton Hot Pot: You must order this when you come - overall it's really impressive - It's made with a collagen broth, tofu, chicken, dumplings, vegetables, pork belly and tonsoku (pig's feet) Overall enjoyable meal, service is pretty slow, and I don't see myself wanting to come back for more unless I'm in West Village (which I'm not often). 3.5 stars for me.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.203928571; Sentiment_Subjectivity (from 0 to 1): 0.547261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been meaning to find a good Malaysian restaurant after many disappointments.  I so happen to stumble across "Taste Good" in my search through Yelp.  Wow.  4-stars, but only 16 reviews.  What the heck, its President's Day, nothing else better to do so let me give it a shot. I thought I knew the area but how come I didn't see it as I was driving down 45th Ave?  What the....????  Anyway, I found a parking before Broadway so I grab it.  Looked up the place again on mobile.yelp.com and confirmed that "it is around here".  After backtracking down 45th, we come across a literal hole in the wall of a restaurant.  "Good Taste", was the only thing visible and barely legible at that as it was dim and the lighting apparatus was partly blocking the sign.  If you literally sneezed as you drive past this place a 5 mph you will have missed it. There were only 2 people in our group.  We were quickly seated in a very weird seating arrangement and too close for comfort.  We kindly asked to be moved to a bigger table when one became available and we were obliged. What do I order to test the authenticity and taste of this restaurant? 1. Roti Canai (with Chicken Curry) - Less flaky more substance 2. Beef Rendang - Very tender and flavorful.  Delicious. 3. Nasi Lemak - A bit cold but delicious, served with achar, ikan bilis, eggs, curry chicken, peanuts) 4. Char Kway Teow - Stir fried broad rice noodles with eggs, shrimp, squid, fish cake and bean sprouts.  Very tasty and authentic.  Nice charred taste.  Next time will order it spicy. 5. Malaysian Iced Coffee - Refreshing and rich. 5. Pulut Hitum - Black sticky rice with Coconut milk (Yum!) Total $37++!!!! Space is tight.   Very narrow restaurant.  Service is average.  Not for a romantic date nor business meeting.  To satisfy your craving for good Malaysian food!  1 block from R, V train, Elmhurst stop. Verdict: For now!  As good as it gets!  Will be back.  Highly recommended.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177851104; Sentiment_Subjectivity (from 0 to 1): 0.600782436 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 classy little joint in Bushwick. The drink menu is great--seems like they have something for everyone. Thoughtful, well-mixed cocktails, organic wines, craft beers...and the prices are super reasonable. Would be a perfect date spot inside with the nice lighting and cushion-y booths, but is also a good hang with the friends spot with the huge outdoor space. Perfect for summer late-night lounging!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.454583333; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I wish I could eat this meal all over again. It was SO good. My friends and I were hungry after exploring the met, so we looked up Mediterranean in the upper east side and this looked like a great bet. Boy oh boy was it ever! We were seated right away upon arrival at the restaurant and although it was a bit crowded, the wait staff did everything they could to make sure we were comfortable. There was 4 of us and 1 vegetarian so we ordered 2 meat platters, one veggie and an order of falafel and split it family style. It seemed appropriate at a Mediterranean place to do so. The falafel came first and you could tell it was freshly made . It was so perfectly seasoned and crispy on the outside with a cool hummus dip to go with it. Beyond delish! Next were the platters, both vegetarian and meat! The vegetarian had some really delicious hummus, spinach and tomato dishes and came with the creamiest tastiest green yogurt I have ever had. I almost mistook it for sour team. The meat platters came with thinly sliced lamb and beef and roasted tomatoes along with a creamy tomato sauce. The savory meat with the creamy sauce...I'm getting hungry just thinking about it. Yum. Just. Yum! All the platters were served with traditional bread and whenever we asked for more, the servers would bring it in 2 mins. It was such prompt and kind service, especially for NY!! Plus too, it's in such a nice area, I can't believe the prices are so reasonable. There are complaints of having $20 minimum on credit cards, but it's not too much of a hassle if you're going with someone else and one bite of falafel or lamb and you'll forget it was an issue anyways. Please go here if you're ever in the UES in NY!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.268681319; Sentiment_Subjectivity (from 0 to 1): 0.540689866 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Saw a huge line out the door of this place and decided to give it a try! Nothing special - ordered the portobello and leek sandwich...very average. Nothing to write home about; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235714286; Sentiment_Subjectivity (from 0 to 1): 0.623809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food = nasty. The cheesecake = delish. All three of us thought our food was nasty. My niece ordered the salmon with grilled veggies and she thought everything tasted funky. My sister had chicken tenders and didn't have anything nice to say about them and we ordered onion rings that had more of a pancake batter then they did breading. So so nasty. Oh.. yeah.. and our server was rude.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.4; Sentiment_Subjectivity (from 0 to 1): 0.864285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing everything we ate!!!!! Brussels sprouts so so so delicious, goat cheese with lavender honey awesome, sangria great, Sicilian cocktail really good, everything just wonderful definitely can't wait to get back there again!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6875; Sentiment_Subjectivity (from 0 to 1): 0.71875 [/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: Well I have only one word: AMAZING! so I came here on Friday night, October 3, to have my birthday dinner with my family, and we had such a wonderful experience, with the food tasting delicious and the attentive staff, our waitress was wonderful, that we came back on the following sunday for BLUNCH. Our experience during the BLUNCH was even more exceptional. Our waitress MIchelle was a sweatheart, and we were even granted a free round of Mimosas because of the wait for the food. For dinner we orderd the pernil, churrasco and pollo a la plancha, it was all delicious. For Blunch we ordered the burger with egg and guacomole, the churrasco and the mofongo with shrimp, again it was all good. The drinks were perfection. The frozen sangria is becoming my favorite drink. It's sweet enough that you dont taste the alcohol, but strong enough to get the job done, and when you check in using Yelp, you get a free one! Absolutely love this place, from the wonderful location, to the exquisite dishes, and the best service Ive received at a restaurant in a while, from the hostess to the waitress, extremely friendly and attentive to ensure that you truly enjoy your time there. I highly recommend it, whether it's a date night, a night out with friends, or for a special occasion. I'll be coming back soon for sure!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.462640693; Sentiment_Subjectivity (from 0 to 1): 0.682837903 [/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: It pains me to give the Good Fork anything less than five stars. I have seen this place grow up -- I was there the first day it opened, I used to go a few times a week, but I moved out of the neighbourhood in 2008 and had not been back until April 2010. The place has changed. The owner and his wife used to double team: Ben was the host up front, while his wife Sohui was the chef in the back. Sohui tinged the menu with her Korean heritage -- a lot of traditional American dishes were slightly permuted, giving the menu a lot of interest and zest. Everything was comfortable yet innovative: a perfect match between comfort food and fine dining. Flash-forward to 2010. Ben and Sohui were nowhere to be found, as they recently had child number two. Fantastic for them, less than great for the Good Fork. The front of house staff manage very well. They are attentive, kind, warm, and more than willing to go out of their way to help you. As soon as you sit down, that is. The fame/infamy of this place has made it all but impossible to get a table in any decent time scale, even for those who live in the neighbourhood. It is also impossible to get a reservation for a table for two on the weekend, because they no longer accept them. On the back end, the menu has changed. A couple of the favourites are still there, like the dumplings and the steak and eggs (or my favourite, the tofu and eggs). But many other staples are gone, like the chicken with mashed potatoes and endives. The other dishes on the menu were good, but lacking in cohesion. The new duck dish was delicious, but was hardly a replacement for the chicken dish. The wine and drink menu has also changed significantly since the departure of the bartender, St John, who opened a restaurant and bare up the block called Fort Defiance. The delicious Dark and Stormy is off the menu, much to my chagrin. But it has shown up at Fort Defiance in an even more delicious iteration with spicy ginger beer. The Good Fork is still an amazing restaurant. It's just lost a bit of its lustre with age. Fortunately, the damage is not fatal. But be forewarned before making the trek out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222010101; Sentiment_Subjectivity (from 0 to 1): 0.54620202 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is only OK. and I find the owner, Otto, to be the most boorish man I've ever encountered. I've witnessed him leering at female customers, waiting tables with a scowl on his face and drunkenly cursing the staff. I won't be back. Do the neighborhood a favor and spend your money elsewhere.  It's really too bad because the fried bread and Euro beer selection is great.  I'll get my fix at Milan's up the avenue a bit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.472916667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the best pizza Ive ever had IN MY LIFE. The only reason I gave them four stars was because of the wait. The wait was about 2 hours standing in line. Then when you get to the front of the line there is another 30 minutes wait. Apparently if you are a party of three and there is no table of three open they search through the line to fill for tables of four, or two..etc...Just hope your that magic number for what they need..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.31; 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: 4.5 stars! This place is great. As an aside, I was born and raised in Queens and can honestly say I was not aware of how up and coming Astoria is- I was pleasantly surprised! But anyway, the restaurant itself is great- very roomy and not at all noisy. The service is unbelievably good, as the waiter is constantly checking to see if anything is missing or if you need anything. The food is delicious and they make it super easy for you to share everything by splitting it all for you. It was a bit on the pricey side but I'd agree it was worth it for the quality of service and food you get. I do intend to visit again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.387820513; Sentiment_Subjectivity (from 0 to 1): 0.571794872 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the Korean Fried Wings. Spicy goodness! Great tacos as well. Staff is consistently friendly and efficient.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; 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: Perry Stree-e-e-t, you're gonna be the death of me I don't want you, but I need you...I love you and hate you at the very same time Remotely located wayyy down its namesake, Perry St. is near almost nothing else on my Google Map for the WVill. Came for the lunch prix fixe and was seated early, making an OT rez for 2 to solo dine (which they not only allow but encourage). I liked The Space A Lot...the booths Give you Plenty Of Room & you can enjoy beautiful Vistas Even with the Highway between you & the Hudson. It's simultaneously more run-of-the-mill Much, a la the Exposed Cement Beams And Paper Tablecloths. Late weekday lunch was sparsely populated But Filled with tools, clientele Discussing How 'Pretentious' Other Places Were.(The host Seemed Contemptuous Of Everyone, And For Good Reason.) I truly Wish I Could've Expensed My Meal like the rest of the pricks ("BILL CLINTON had an ELEVEN-HUNDRED On His SAT, He Got Into YALE"..save Your Breath, imbeciles). My (delicious broccoli soup) amuse was removed Before I Finished, as the service transformed From Uncanny To Attentive To A Fault. What you don't get: The Average Over-the-top Friendliness & hospitality sixth sense you Come To Expect From Perry St's Counterparts. The chili Crab Dumplings were Sweet & Complemented Well By a Passion Chili Soda,  which Packed a nice Punch (curious As To The Composition And Storage Of it, and I didn't want One But Asking If I Wanted Another Soda Would Be Nice). Bread was Replenished Generously But No Knife Remained to spread the tasty butter alongside the copious sea salt. The ginger rice Bowl was excellent but I'm admittedly not a Huge Fan Of The DIY Expectation/convention. They Provide Excellent ingredients But You're Responsible For The Finished Product. The crispy Poached Egg Provided A Delightful Bed To The Bowl And A Great Soak-up-the -bread-afterwards Option. The rhubarb cheesecake Dessert was Very Good But Didn't Make That Extra Effort; once I'd finished there was No One To Be Found... Perry St has large Restrooms But the lighting makes you Look Sinister. The Wayfare Bill was Too Simple To even Work, But I Got My CC back & headed toward the heavy Door, met with the pools out front--bounced over For A Walk In HRP to ponder my meal & pen this very review...; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.229843254; Sentiment_Subjectivity (from 0 to 1): 0.641052579 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing are the margaritas and ALL the food. I'd go here every night if I could. The atmosphere is fun. The staff is great. All these great reviews just means I have to wait so much longer for a seat. I heart Barrio Chino. PS - The prices are great until you find yourself on your third margarita. That's when it gets spendy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.507142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is probably the best street food I had for awhile, I was NY for 4 days and since we live around 6ave and 55th st, I had the chance to walk by it several times a day, but cannot help to noticed the line is just long each time when I walk by, no matter if it's 2pm in the afternoon or 3 am in the morning.. so I decide to give it a try.  I got the mix (chicken and lamb) in rice for $6, portion is perfect for a mid night snack to share for two or even three.  The chicken and lamb is so good that I start to envy the people who work close by (Hilton for example).  NY is really a street food heaven... but I heard the street food in LA ain't bad too, just never had the chance to try it out. The white sauce that come w/ the meal is so good, and now it comes on the side and also the spicy sauce.. omg.. it's so spicy, I almost cried when I put that in my mouth, I'm so glad I didn't just pour the whole thing in my rice else I probably have to go back in line and get another one instead.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155397727; Sentiment_Subjectivity (from 0 to 1): 0.472916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to this Pio Pio quite a few times, even though I prefer the 34th street location. This Pio Pio is one of the nicer ones and offers more menu selections, along with a full bar. It's always busy during dinner time. I've never bothered with making reservations, I go fully understanding that I will have to wait so why set myself up for disappointment? None of the Pio Pio's are known for having an organized front of house staff, so just understand you'll be waiting. Besides 30 minutes in NYC really isn't that bad. The food...I first came here on a lunch date (it's pretty empty during lunch) where my date drank like a fish and had several cocktails then a pitcher of sangria. The sangria is good and strong. And I've been here several times for dinner. Everytime we order the Matador Combo. Pio Pio is KNOWN for the awesome chicken. Even the lackluster reviews say the chicken is great...I like Pio Pio for their simpleness, so I stick to the simple things. Plus I get a kick out of the salchipapas, it's just fascinating that there is really a dish with french fries and hot dogs on top. I'm also addicted to the green sauce, its just so good and spicy. Avocado salad is fresh and yeah the rice and beans is forgetable. The drinks here are good and strong, and desert was pretty good too, though I can't remember what I had. I'm not at all a big desert person.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.158080808; Sentiment_Subjectivity (from 0 to 1): 0.502236652 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Authentic Italian comfort food!!! (If there's such thing) this is my go to rest. whenever I'm deviating where to go and don't really have a place in mind this is we're I always land because I know food is consistently amazing. The place is loud very loud because it is small and people are practically on top of each other if you don't mind that and having to wait an average of half an hour to be seated then you'll be in for a treat.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.111527778; Sentiment_Subjectivity (from 0 to 1): 0.499305556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had the tasting menu for a friend's birthday and really all the food was a treat. I particularly enjoyed the strawberry glazed ribs, pork belly sliders, and as a true southern boy fried chicken is always welcome. Docked 1 star because they consistently couldn't figure out that the plates with 5 servings should go the table with 5 people rather than one of the others when you have a long table of 14 people... I mean really, having to trade & pass every course is not the most conducive to enjoying an otherwise quality meal.  Then it took about 30 minutes to run the cards which wasn't  so fun either, but otherwise a great meal!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.259821429; Sentiment_Subjectivity (from 0 to 1): 0.499107143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 loved my experience at Jimmy's Diner. We came here right when it opened @ 9:00am and already there were people before us. The atmosphere is very vintage space age with the most obscure music playing in the background. Something about the atmosphere was so pleasant for a sleepy morning. I ordered the Tater Tot Bowl which was super different. It came with homemade tater tots (which tasted like fried mashed potatoes), eggs with caramelized onions and cheese, and a glop of guac. I really, really enjoyed this. My date ordered The Big Boy which consisted of a bunch of menu items like grits, pancakes (taste like cake), eggs, etc. The coffee was great! CASH ONLY (there is an ATM inside the place). Can't wait to come back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.354365079; Sentiment_Subjectivity (from 0 to 1): 0.576587302 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing ambiance.   The flowers are absolutely gorgeous.   I ordered the paella and it was delicious.  I will definitely be back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hip, chic brunch spot on the border of Greenwhich Village and SOHO, the trendy decor and lounge music overhead won't distract you from the well made and tasty breakfast/lunch food.  The wait staff is friendly enough and the food is suprisingly filling (despite the seemingly small portions).  The meal for two (2 entrees, shared french toast, two coffees) cost me $62 (tax/tip included); a bit pricey for a two person brunch.  Although that's par for the course in an eatery of this ilk, in this day and age $62 can get you a lot more elsewhere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204166667; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pig feet is crispy and tasty. Pork tongue is so firm that I suspect those pigs were very gossip before they became dishes... a lit bit too firm for chewing. Gozya, decent, but not as impressive as I read on Yelp. Dessert! We tried dessert tasting plate, including cheese cream, creme brulee and black sesame ice cream. All decent tasting... the cheese cream, is it just some whip cream? Really? I'll try hot-pot next time. And... It took me a whole month advance booking to get a 7:00PM seat for two.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.136666667; Sentiment_Subjectivity (from 0 to 1): 0.446666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tia Pol was really accommodating with our large group, and did an excellent job getting food out quickly so that we could head to our next event. The food was DELICIOUS - everyone was very happy. I would highly recommend it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.493452381; Sentiment_Subjectivity (from 0 to 1): 0.583571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried out the brunch!  I had the langos, smothered with nutella, banana slices, and whipped cream.  It was like dying and going to heaven (and probably if I ate it every weekend, I would soon find out what that's really like so I could do a solid comparison).  Imagine if you will all your favorite breakfast sweets, deep-fried.  The hubs had the halusky & German sausage hash and pronounced it quite delicious.  On a sleepy winter Saturday, there weren't many people there and we could sit in the back and engage in the sort of slothful gluttony that such a day merits. A tip of the hat to Otto!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.244444444; Sentiment_Subjectivity (from 0 to 1): 0.477777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The decor is interesting. If you are an animals' rights activist, love animals, or generally care about the well-being of animals' heads not being on walls, brace yourself. If you are really into taxidermy, welcome home! There is a duck in attack position on one wall. There are two birds (waterfowl?) next to the duck. There are an assortment of heads with antlers all over the place. There was also a beehive above my friends' heads. I came here after eating six dozen oysters with 3 other people. I know, what were we thinking? We only got 2 appetizers, 2 entrees, 1 side, and 2 desserts... don't judge! You would do it too! The special of the night - crab cake served with home-made tartar sauce and fresh (uncooked) watercress. The watercress was dressed with some lemon juice and was a little bitter uncooked. The crab cake tasted a little chalky, had some mint in it, and did not have as much crab as I had hoped. The tartar sauce was the best piece of this dish, it was tart and had a nice acidity. The artichoke dip came in a ceramic bowl with slices of bread. The dip had a lot of big pieces of artichoke, which I liked. It was not as cheesy as other dips, but had a burnt cheese encasing that others enjoyed, but I did not. The scallops were cooked perfectly - a little stiff and firm, and very fresh. It had a strong citrus flavor and sat on top a bed of crisp zucchini and summer squash. This dish was $23 and only had 4 scallops, so you should probably order a little extra if you plan on getting this. The mac and cheese was fresh, and was not as cheesy as most other mac and cheeses, which I appreciated. However, i am not a big fan of mac n' cheese in general. The rest of party, though, thought this dish was delicious. The mashed potatoes were fresh and of good quality, but nothing much to write about. The warm chocolate brownie dessert, was more like a warm chocolate cake with vanilla ice cream. The ice cream of the night was espresso, and this tasted pretty good, and tasted exactly like its name. Overall, a nice night, but I don't think the hour and half wait is worth it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.207718615; Sentiment_Subjectivity (from 0 to 1): 0.489329004 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's a guy up at front, making the namesake noodles.  Go here for the lunch (bento?) boxes, soba and udon noodles.  The interior has good ambiance, and a nice place to eat lunch. Also, try the soba beer.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worst Italian food we've ever had! Extremely overpriced food is not made to order....everything came out within 5 minutes and tasted like canned ragu. Horrible.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.53125; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a simple girl.  Cafeteria is open 24//7 and they have some of the best mac n' cheese around.  Now at 4am when you're drunk and hungry, do you really need anything more? On the few days I'm actually sober, the rest of the menu is great too; it's your standard American comfort food (replete with fried chicken, mashed potatoes and gravy).  The menu is extensive enough to fit anyone's appetite or taste, but not overwhelmingly huge so you're sitting there for 40 minutes deciding what to order.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.09375; Sentiment_Subjectivity (from 0 to 1): 0.436904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When I made my way in here last week I felt like I was waiting for the 5 train at Grand Central station. We were packed like sardines waiting to get ourselves dibs on a vast arrange of essential Korean food. However, the wait was such a virtue. I got homemade food for less than 10 bucks which saves me a whole bunch to shop for shoes. So gals and guys if you want an essential meal that's deelish and under 10 bucks and also want to have the "it" shoe for the season why don't you give this place a try for lunch. Promise you'll be back here with the "it" shoe on your feet. I give this place a 1000 hearts~; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.053333333; Sentiment_Subjectivity (from 0 to 1): 0.388333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Ilili on a date Posh but not pretentious, the staff were very nice and efficient.  The food was Ab Fab I highly recomend this place.  I most likely won't see this girl again but I shall return to Ilili; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318; Sentiment_Subjectivity (from 0 to 1): 0.748 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing experience.  My boss brought me as a thank you for my hard work.  Very pricey but def worth the treat.  Even better when you aren't paying.  Def sit at the sushi bar.  Sushi is outstanding.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.301388889; Sentiment_Subjectivity (from 0 to 1): 0.536111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 enjoyed lunch here, pretty inexpensive at $17.00 total for our table, mind you no drinks were ordered.  My husband had the pad Thai, which was very good and had a cool presentation.  I had the beef pho, which was good but not great.  Overall good meal and great price... Very eclectic atmosphere.  We would go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.334166667; Sentiment_Subjectivity (from 0 to 1): 0.573333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch the other day and really enjoyed it  I had the special house salad and fried calamari  The portions are family style and really really BIG  Very busy spot so make reservations; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.172428571; Sentiment_Subjectivity (from 0 to 1): 0.427285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hearth is as homey as its name! You won't be disappointed after eating their delicious food with a unique approach to familiar dishes. The menu changes seasonally and the ingredients are fresh and mostly local. I must say that the desserts are even better than the main courses -- the apple cider doughnuts are to die for and the vanilla ice cream is spectacular. I would highly recommend going here for dessert if you've already eaten somewhere else or just want a tasty treat!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.276666667; Sentiment_Subjectivity (from 0 to 1): 0.602333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious. Loved their omlets. Great coffee. The good came very fast and everyone is very friendly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.657916667; Sentiment_Subjectivity (from 0 to 1): 0.763333333 [/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: Totto Ramen is by far the best ramen place in NYC. The ambiance is authentic and no-frills, the staff is super nice and the food is excellent. I used to live around the corner and would wait 3+ hours to come here. I've recently moved downtown next to other reputable ramen places such as Ippudo and Momofuku, and Totto's is way better. Plus, they have seasoned avocado, which is so good. The only caveat is that they no longer offer the half-boiled egg, which is one of my FAVORITE things on the menu and I wish the chef would put it back on! I would be so thrilled to have my favorite item back at my favorite ramen spot. Then, I'll still make the 40-block trek to come here. Yum!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.350895317; Sentiment_Subjectivity (from 0 to 1): 0.599621212 [/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: What an adorable place! It is a great place to have a date, catch up with some friends,  or study.  Their coffee is the best I have tasted yet in NYC. I ordered a grilled vegetable sandwich that was just so flavorful and the dressing on the salad wasn't overwhelming at all (I'm usually a lemon juice kind of girl). The staff was really courteous and welcoming.  I'll be coming back to try out everything else on the menu!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.484375; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Insane selection of tapas. Frighteningly insane. This calls for some serious project management when trying to order in a big group. The notables were the Bacon Wrapped Dates, Beef Carpaccio, Foie Gras, Crispy Brussel Sprouts, and just about everything else you can think of in bite size form. Think of this more as a place to impress guests, rather than a fancy food splurge.  You could stuff yourself silly here, but you'll just be craving larger portions of each item, which you could easily find at any other fine dining establishment. Save up now cuz it's gonna be a fat check.  Only cash and Amex? What year is this again?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.146212121; Sentiment_Subjectivity (from 0 to 1): 0.668181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The quality of the offerings here are high, but so are the prices. Be prepared to spend 2-4$ extra per pound of good cheeses and cured meats here. But I was able to find things like giuancale (pig cheek) that are rather obscure. The pasta selection is really not as broad as it ought to be. They are carrying a lot of brands with the same typical shapes (spaghetti, capellini, linguini, fettucini, and some small shapes) but were missing the classic tonnarelli. I've dined at a few of the restaurants contained within the grocery store, and I've found them to be overly crowded and rather pricy. At the pasta place, I had a tiny serving of agnolotti that cost $18. And my friend had a mess of very al dente cacio e pepe which didn't have enough cheese. Nothing like what you actually get in Rome. I do think the fresh pasta counter is worth a visit as is the butchery, but everything else is convenient, but over-priced. You will walk away from the register clutching the tiny $100 bag of groceries, hoping no one mugs you on the F train home.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.068618421; Sentiment_Subjectivity (from 0 to 1): 0.326008772 [/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: Pros:  Very Good Overall Experience.  Cons:  Small Portions.; Max_Daily_Reviews: 12; Sentiment_Polarity (from -1 to 1): 0.22; Sentiment_Subjectivity (from 0 to 1): 0.393333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Chinese food in the city. I really love this place. My foodie friends would also agree. The soup dumplings are wonderful. I also recommend the scallion pancakes. I live in L.A. now and the Chinese food just isn't en par with Joe's Shanghai or NY standard Chinese in general.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.298484848; Sentiment_Subjectivity (from 0 to 1): 0.322222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious cheap Thai food!! Inside is a little bit loud but you will see the kitchen with all the flames -pretty impressive. The outside area is quite and really romantic. I had dinner with a friend at 9:30pm: two big plates of fried rice with shrimp and vegetables, and noodles. Chai teas, and we spent $21! I will definitely go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242045455; Sentiment_Subjectivity (from 0 to 1): 0.522727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4 stars. Ordered the Bistro burger and fries. Perhaps the juiciest burger I have ever had and it is big and was well worth the trip. The fries were average at best. The Bar is very old and a good place to get a beer. Prices are very reasonable too.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.32; Sentiment_Subjectivity (from 0 to 1): 0.362857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stumbled upon bistango searching yelp for nearby restaurants. They were able to take us as a walk in on Saturday night before the Knicks game, we were so grateful especially since we were on a time crunch. The food was amazing and they graciously mixed and matched my request of their menu items. I ordered the Cavatelli but asked for them to sub in tortellini as my pasta. The food was so amazing, the spicy sauce absorbed into every bite of spinach, the tortellini tasted home made with cheese bursting out, and the calamari we ordered as an app was fresh and amazing, no disguise of breadcrumbs and swimming in a spicy garlic sauce. I swear if my boyfriend had a spoon in front of him he would have scooped up every last bit of the sauce. It was so amazing that I was genuinely surprised the restaurant offers a significant amount of gluten free options, would have never suspected it. Very happy with our meal and would recommend this place to everyone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3171875; Sentiment_Subjectivity (from 0 to 1): 0.682291667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 always say they have no more reservations for the night but if you go by 6 or 6:30 it's empty.  There bread is amazing so try not to fill up on it before your meal arrives.  Definitely order the kabacha bread!!!! It is unbelievable!  You will still be thinking of it days later; no joke!   For dessert, don't mess around- order the sundae! The carmel ice cream, gourmet carmel popcorn and peanuts, hot fudge, and candied Carmel crunch on top are just enough to make you want to skip right to desert!! Omg!!! Can't get enough of this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1117234; Sentiment_Subjectivity (from 0 to 1): 0.538392857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: the place is known for their amazing italian sandwiches. but i recently ordered their pasta bolognese, which was delicious. really delicious. but for $15 an order, the portion was less than satisfying. The sauce was plentiful, yet it definitely needed more pasta to justify the price tag.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.381481481; Sentiment_Subjectivity (from 0 to 1): 0.57962963 [/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: Unlimited hot pot!! everything was absolutely delicious, they even have soft shell crabs! and the price is very reasonable. $21.99 per person at this Chinatown location, and $18.99 at the Brooklyn location. Servers were also very hospitable and were willing to make suggestions on the items we should pick. No complaints! only thing is, make sure you try to come a bit earlier. We went at 8pm and the wait was a little over an hour.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2600625; Sentiment_Subjectivity (from 0 to 1): 0.691888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Scallops win an oscar. So do the oysters; they accepted an emmy. The food came out, oddly enough, way too fast. But that was partially our fault, having ordered a second round of oysters late in the game.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -6.94e-18; 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 knew you were trouble when I walked in, Jeepney. I've been a huge Maharlika fan since it opened--it's my go-to brunch place when people come to visit me--so I knew Jeepney had to be awesome too. The first time I went for dinner with a friend, we shared the clam appetizer, the burger (!!!!) and their special entree, which was lamb menudo, a Filipino take on shepherd's pie. Like everyone's mentioned, the burger is RIDICULOUSLY good. The combination of juicy longganisa and beef patty on slightly sweet challah bread slathered in some sort of aioli and a bit of ketchup (I think) with a perfectly fried egg on top is something I want to eat every day of my life. The menudo was also delicious. The lamb was really tender and more like pulled pork than standard chunks of lamb, and the side of giant longganisa made us quite excited. The clams were also good; nothing too out of the ordinary but tasty. We had the taho for dessert, and it was deeeeelish. I got delivery a week later and it was good. Standouts: bicol express and lamb menudo (again). Not my fave: warm pinkabet salad and sinigang na baboy. In all fairness, delivery can be tricky sometimes. We weren't exactly sure what containers went together, since they weren't lableed, so I'd be willing to try these again in restaurant. Finally, I had to go for brunch today. We got the burger (I deeply regretted not getting it on delivery night), the benedict, and the bulalo hash. All were excellent, but they came out at different times, and I wish we had them together. Also, the bulalo hash had a more delicate, subtle flavor than the other dishes, and having it after the flavor-rich burger and benedict made it pale a bit in comparison. But I love this place (3 times in 2 weeks!) and the only issue now is how I'll choose between Jeepney and Maharlika when I want kickass Filipino food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.316641245; Sentiment_Subjectivity (from 0 to 1): 0.612080327 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 given this some thought and its taken me some time to post a review because well, honestly its one of the few decent food options in this 10 block area. I have lived on and off in south slope for the last 15 years and was here well before tobys opened but remember when they did. When the hip coffee shop was a spanish hair salon, etc so I've seen the area change for the better and am a native Park Sloper born and raised. I guess my point is, to keep it short, the pizza is good but the atmosphere and staff just keep me from actually liking/enjoying this place. Ultimately, the vibe is one of screw the customer and your lucky to be eating/drinking in our establishment. I sat at the bar once eating and drinking with my girlfriend and a good portion of the time we could just hear the staff talking shit about different customers while waiting for drinks from the bartender. I have been a  waiter and bartender before so I do understand but I think its them and the lack of discretion is just not cool. Some of the staff can be nice and I see them around the hood and say hello but others can just be super lame. God forbid you add a topping to one of the pizza's - i was lectured about the region of italy where the meat was from and how it would clash if i added spinach on top and honestly its was just rude the way I was spoken to. I am a humble person, well educated and from BKLYN so I know its not me giving attitude or whatever! The long haired skinny bar tender dude on more than one occasion I've wanted to just punch in the face. He's cocky and not polite - its this arrogant defensive vibe I don't get, you don't have to be any customers bitch or welcome us with 'flare' but look, people are paying a lot of money to eat and drink at your establishment so don't be a jerk. People work hard to be able to eat out so when they do it sucks to be treated poorly. I'm not asking for you to put on fake smiles or pander to tourists, just be cool and polite that's expected in the service industry. The only reason I go here ever is because i want the pizza and dont have the time or energy to go Le Paddock or any number of pizza places in close proximity. So maybe once every couple of months I'll go here but its always the same result. I hate to write something negative just gotta vent, I've been to Toby's maybe all together 20-30 times since they opened, and this has been my overall experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.084649123; Sentiment_Subjectivity (from 0 to 1): 0.573026316 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not a terrible wait on a Friday night. Pretty cool atmosphere. The dumplings were good, the sushi was ok (not a big sushi fan to begin). The hot Udon with pork belly was very good. I have also had others from here which were not as good. Not too expensive. Overall - B3; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.332727273; Sentiment_Subjectivity (from 0 to 1): 0.616363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just amazing! The menu takes comfort food to a new level. Do not let the name fool you. It's not a greasy joint but comfort food with hints of refreshing taste in your mouth. The salads are all very tasty, we love the pear salad. Had the crack n cheese!!! Must have but I think they're retiring it for the fall. Sad! The pork belly sliders were very good, the fried brussel sprouts was also tasty, the desserts were simple and the fried chicken is a winner! We live living in Sunnyside and happy this great restaurant is in the neighborhood. It gets busy around dinner time, but leave your name and phone # and they call you! Most of the time the wait is not long. Also, they have an assortment of beer...compliments the food!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.299369318; Sentiment_Subjectivity (from 0 to 1): 0.652779221 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 planning on giving this place a try for a very long time and I finally did about two weeks ago. Since then I have eaten at this place twice more, not so much because I fell in love with it right away, but more because I felt like I had to try three different sauces in order to give this place a fair review. The place itself is adorable, as you can tell from the photos it has three tall wooden chairs in front of it which are usually taken. Once you enter it, the place is really narrow and you stand by a counter, usually in a somewhat long line, where you order from. There are two tables in the back which fit about 4-5 people each and a bar which could fit about as many. The wooden tables have holes in them that are meant for the cones, I think that is both cute and a brilliant idea. The service is pretty quick and efficient and I would say for the amount of fries you get that they are not overpriced. Also, they do not have a bathroom that is available for customers from what I could tell. First time I came here I ordered the Frites sauce because it just seemed appropriate. I didn't plan for this to be my full meal, more like a "snack" so I shared the regular size with another person and for a "snack" it was really filling. The fries themselves were thick, mostly soft yet crunchy at times. They were not too salty which was good they actually had just the right amount of salt, however I cant say they were extraordinary. The sauce on the other hand was pretty good. My second time here I tried the Sweet Mango Chutney Mayo with my friend and I absolutely loved this sauce, you can barely taste the mayo and the sweetness is really subtle, definitely recommended for people who are not much of mayo fans. Third time I decided that these regular sized frites are going to be my actual lunch and for the most part I had them all to myself. The result was that I could not finish them, when combined with the sauce it is pretty filling. That time I tried the Roasted Garlic Mayo which I had my eye on for some time but unfortunately it was a disappointment, I cant put my finger on what exactly I didn't like about it, but at some point I just gave up on the sauce and ate those fries with ketchup. All in all, this place is worth a visit if only to try as many different sauces as you can handle, but if you come here expecting to try fries that will blow your mind, I suggest lowering your expectations or looking for another place. I personally will be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183028884; Sentiment_Subjectivity (from 0 to 1): 0.469321444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this new Thai restaurant in our neighborhood!! Excellent menu- we had the lunch special which is so affordable and delicous. Best part is- it's BYOB! We'll definitely be back again soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.51170184; Sentiment_Subjectivity (from 0 to 1): 0.487662338 [/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: Good tacos and crazy delicious nachos! Get the asada taco and/or nachos.  Huge chunks of steak. Al pastor taco was meh to me - super oily. Love the green salsa though! I drenched my food with that. Hole in the wall... don't depend on getting a place to sit. The nachos hit the spot!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.288690476; Sentiment_Subjectivity (from 0 to 1): 0.70952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In my three years being in the US, this was the first time that I had felt so disappointed with the service a restaurant could have provided. While the food was not bad, it definitely did not deserve the 4-stars rating given by most Yelp-ers. I ordered the takoyaki and also the seafood pancake which both tasted like the exact same thing (probably because both were served with a sour sauce which overpowered the taste of the food). However, the food was not the main problem as my complain is with the service. The food were all served with at least a 10-15 mins interval between dishes. By the time the first entree was served up, I had already lost my appetite and was ready to leave. Aside from that, me and my friend were stuffed into a tight corner in the restaurant and any waiter that passed by that area would kick my seat and just acted as if nothing happened. It was irritating to say the least. The worst part of it all occurred when I was about to pay for the food. I have always been the type to tip according to the service provided by a waiter/waitress and usually at least around 10-15%. This time I decided to tip about an 8% even when the service was terrible. When the waiter saw the tip, he firstly asked if the service was bad. Trying not to make a scene, I just said it was ok. He proceeded to state the fact that I was tipping below 10% and this really ticked me off. While I was explaining the reason why I tipped the amount that I did, he just walked away and my friend told me that he was giving us a dirty look. I would have totally claim my tip back if he had not walked away simply because he had shown no respect for his customers. I guess the only point to get out of this is that the food is meh and be prepared to tip a hefty amount if you want to eat here. TL:DR This place serves food that tastes the same, service is slow and at least one incompetent waiter works there.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.119738863; Sentiment_Subjectivity (from 0 to 1): 0.470199693 [/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 can understand the popularity of this place: Long line outside - checked. Fatty pork belly - checked. Oily broth - checked. Hip Japanese staff - checked. They even blow torch the char siu in front of you!  Spectacular preparation - checked! OK, honestly it is an OK ramen place. I found the noodles a bit too undercooked, and the broth and pork too fatty. It is also a bit stingy as they only give 2 slices of char siu and no bamboo shoots. But the chicken-based broth is a nice change. If you walk past on a cold night and the line is not too long (however unlikely), it is not a bad choice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.056666667; Sentiment_Subjectivity (from 0 to 1): 0.531111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As perfect as a restaurant gets.  Dumplings were amazing.  Eggplant incredible.  Best green beans EVER!  We ordered stuff we didn't even know what it was, but it was all great.  The staff isn't exceptionally helpful, but take their suggestions and be daring.  Everything was good and sooooo cheap!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.657407407; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mean, it's just pizza. Okay, don't yell at me! I took the long walk from Manhattan to Grimaldi's because I had a friend in town and we needed a place to eat....we also really wanted to walk in the rain (yeah, no). We ended up at Grimaldi's because a) I've never been, b) we were in Brooklyn, and c) nothing else was open on a Monday. The line was nonexistent and the place was definitely filled with tourists - the group who was next to us, tipped zero dollars (the waitstaff was less than thrilled). We ordered a small mushroom and pepper pizza, which was actually quite large! Honestly, I would recommend it if there is no chance you'll have to wait in any kind of line, but otherwise, you can get the same kind of pizza in Manhattan, or a place with no line. And the ambiance is quite blah.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194605655; Sentiment_Subjectivity (from 0 to 1): 0.481733631 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I took my out of town brother here for a relaxing Sunday dinner. There are half price quesadillas and tacitos and $6 margaritas on Sunday nights. (note that the tacitos are not the rolled up tacos, but rather small tacos). He actually had a mojito as we were told by my friend (and foursquare folks) that they are the best mojitos in the East Village. I loved that they came with a stick of suger cane -- super fun to chew on. We got chicken quesadillas which we awesome. I think the chicken was chipotle chicken. There was dif a spicy kick to htem which I loved. A huge glob of yummy guacamole was also a welcome addition to the quesadillas. The shrimp tacos were terrific. The corn salsa was very present. Yuca fries were also awesome. There was a garlic-y and cilantro (?) spread on top which was nice to dip them in to. Since we ordered dinner, we were able to sit outside and people watch along Ave A. It was a really nice and relaxing night. I would def bring more out of town people here on an off night (since it is rather expensive). The food and drinks are delicious and it's in a New York neighborhood most out-of-towners would not really get to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.276893939; Sentiment_Subjectivity (from 0 to 1): 0.629031385 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brunch Review on a Sat: So immediately upon entering, I heard "Niggas In Paris" playing fairly loudly, which on the one hand I found a little odd and on the other, love the song. I didn't mind a little morning rap this particular day but the playlist of current and past rap hits kept going, and I can see how others may be put off by it. It didn't exactly set the most brunch-esque mood, and I did overhear the table next to us say the music was their only complaint. And on to the food. I ordered the The Chosen omelette (house smoked salmon, red onions, cream cheese, and hollandaise) while my boyfriend ordered the Short Rib Hash & Eggs. I asked our server between The Chosen and the Bluefish Cakes, which she preferred and she couldn't decide, saying both were delicious but the The Chosen was the larger of the two. Being pretty hungry, I ordered that but it wasn't too large (by my standards). The omelet itself was really good, and it came with potatoes and toast. I did wish they'd spread out the smoked salmon more evenly or just included more because I felt like my omelet was book-ended with the salmon, leaving nothing in the middle. I had a bite of the Short Rib Hash & Eggs, and from what I tasted, it was also very good and a solid choice. In the end, I wish I had ordered the Bluefish Cakes for something a little different than the usual brunch meal. Next time!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126993088; Sentiment_Subjectivity (from 0 to 1): 0.429577573 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One hour wait on a Sunday afternoon at 3pm.  We thought we were being clever and sneaky by going late, but everyone had the same idea.  *SIGH*  Good thing there's a great cafe across the street that served the best iced cappuccino I have ever had. Blueberry pancakes with maple butter: YUM.  Definitely lived up to the hype.  Thick and fluffy.   Veggie sandwich: One of the best veggie sandwiches I have ever had--avocado, herb mayo, sprouts, cheese, etc.  Comes with a side salad and coleslaw.   Side of scrambled eggs and hash browns:  Now THIS is what scrambled eggs should be like.  Fluffy and moist.   Waitresses were a little grumpy, but I don't blame them considering how busy this place was.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.198397436; Sentiment_Subjectivity (from 0 to 1): 0.467948718 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grilled corn: yum yum yum Cuban Sandwich: Amazing pork, tender ham, tasty cheese, and incredible bread with a soft crunch. Hot sauce everywhere.  Oh baby!!! The spot is a hole in the wall w/like 3 tables, but they serve beer and amazing food!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.60515625; Sentiment_Subjectivity (from 0 to 1): 0.78 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally a real Greek Souvlaki place in New York!!!!!!!! I am Greek and I have tried several Greek restaurants offering souvlaki. Some of them, they are not even closed offering their so- called Greek souvlaki. In Stix all the food was real Greek food. I do not know what to say about the tztziki, it was same or even  better than the one I make at home, their souvlaki the best in town (all kinds), the meat balls and their sweets just amazing!!! I know that they have a few weeks of operation, I am wishing them good luck and keep the same food standards. We will recommded this place to all our friends and younger people of our family. Just a little note, the service needs to be a little quicker but that does not change my opinion about the Stix; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.185432812; Sentiment_Subjectivity (from 0 to 1): 0.233585859 [/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 like this place, the staff are friendly and food is pretty good and reasonably priced. They messed up a couple of little things on my order but were great at fixing it. Coffee also great!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4171875; Sentiment_Subjectivity (from 0 to 1): 0.6125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down best tacos I have had in New York - go hungry, go with with a friend, order all five and try a bit of each -- you will not regret it :-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.37020202; Sentiment_Subjectivity (from 0 to 1): 0.510858586 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious and reasonably priced thai food! The wait was about 15 minutes for three people on a Sunday afternoon, so not terrible. I tried the spring rolls, pad thai with shrimp and chicken curry puffs. The spring rolls were perfectly crispy and were nicely complemented by a sweet dipping sauce. The curry puffs were very similar to samosas; deliciously creamy inside and chewy on the outside. The pad thai is excellent as well. Fast service if not the most personal (it's community-style seating and the staff is very busy). They seem to do Seamless as well. Good to know!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.406176471; Sentiment_Subjectivity (from 0 to 1): 0.662352941 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hidden NYC gem. Have not had a bad meal or pizza here. Owners are friendly and care about their business. Pizzas are thin and crispy. Their spicy homemade olive oil also adds a nice touch to your slices. Great selection of wines and beers. Only drawback is it could get really tight at busy hours and space is a bit tight. Otherwise, I would definitely recommend this place to anyone who want to try great tasting Italian dishes and quality pizza.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.080860806; Sentiment_Subjectivity (from 0 to 1): 0.555494505 [/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: Delicious food and great cocktails just off the park.  I've eaten here twice now and both times I was greeted by the owners who clearly care about their customers.  Cute place, great for a quick bite or a romantic date.  I can't wait to go back soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.610416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Outstanding Cuban sandwich!  Service was fast and efficient.  I'd say the total time it took from placing the order (to go) to walking out with the sandwich in my hands was 8 minutes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.741666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here was amazing.  The service not so much. First the burrata is to die for.  The artichoke antipasti --yum. And the pizza... Take me away!  We thought our sever was not attentive and we are very low-maintenance.  At the end of our meal we found crumpled paper at the bottom of our bottle of San Pellegrino, gross, right? The server basically shrugged and said sorry.  The manager did make it right and I would eat here again in a second because the food is awesome.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.198392857; Sentiment_Subjectivity (from 0 to 1): 0.55047619 [/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: Raised in LA, so I know my Mexican food. Fish tacos are solid. Love the blue corn tortillas (which I think they make in-house). Underwhelmed by the tamales (both pork and shrimp). They were moist but didn't wow me in terms of flavor. The beef tacos were good in terms of flavor and quality, but they came out at room temperature. They were also way too small (you get 3 for about $9)...like c'mon, it doesn't cost THAT much more to make them a regular taco size. The tables are also way too close together, and we had to do that move-the-table-so-we-can-sit-and-leave thing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.172222222; Sentiment_Subjectivity (from 0 to 1): 0.375213675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What is most important to note about Blue Ribbon is the service. We've had many good meals which have been incident free. And one meal which nothing seemed to go right. but what makes Blue Ribbon so special is how they handled it. Both the service and management were very apologetic... They comped the food that came out wrong as well as one of our bottles of wine ...bought us dessert....and gave us a nice Gift Certificate to come back. There is a lot we love about Blue Ribbon... but the fact we know we'll have a good experience no matter what is what keeps it high on the choice list.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282521008; Sentiment_Subjectivity (from 0 to 1): 0.514537815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The crust was brick-oven scented and delicious, but the ridiculously long line really made this pizza not worth the effort.  If you're a tourist, like I was 7 years ago, it was a must.  But even then, they managed to burn a HOLE in the crust, not good.  The Brooklyn hospitality was basically a scolding for purchasing one of their pizzas.  Although, I must admit that I haven't tasted better pizza in the states yet, this was the first pizza I ate since coming back from living in Italy for a year... In sum: Only go if you are a Tourist.   Also note worthy:  Never stand in the "To Go" line.  They get 2nd priority and end up waiting longer than the dine-in line.  I saw folks that arrived when I did and stand in the dine-in line while I attempted the "to go" line.  Guess who got their pizza first: the Dine-in folks...very disappointing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.106410256; Sentiment_Subjectivity (from 0 to 1): 0.474358974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great pizza and calzones. Would be nice to have some appetizers also but that won't stop us from going to this place. Nice waitstaff as well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 0.916666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had never heard of this place when I went, but my colleague said it was good so I decided to give it a go. We went right before 5 on a Saturday, so there wasn't a wait. I will start off with the good. The service was fine. Our server was friendly and cheerful. I got the burger (medium well) with bacon and cheddar cheese and the truffle fries. The truffle fries are pretty good. I think perhaps there was fresh parmesan cheese on them. The burger wasn't so great. Besides the fact that it was small, it wasn't tasty. It was also dry. The total price for my burger, fries and soda was $21. This place has a very trendy feel to the place, and I think many people like to go there. However, I don't think I will be going back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.368169643; Sentiment_Subjectivity (from 0 to 1): 0.614732143 [/INST] Not Spam</s>