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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the place to go to get your breakfast starches! Yes, the pancakes are amazing. Yes, the brioche french toast is, as well. And yes, the maple butter is to die for on said starches. Mmmm. I also recommend the seasonally-changing waffle (the toppings are seasonal, from what I gather). Today was Bourbon Vanilla, with a pear and plum compote, with deliciousness. Too bad I didn't get it. Instead, I got the duck bacon frittata. It was very good, with scallions, and leeks, with cheese and slices of duck bacon on top. I really wanted something savory. I also split a side of fried green tomatoes (which were actually not green). The highlight of this trip was the hot buttered cider. A large mug of it runs $8, and they don't skimp on the rum (especially good, since most of it evaporates anyway). I think they use their maple butter. Mmm. My most memorable brunch was a peach waffle, with peach compote and peach ice cream. Peachy keen. About the wait... yes, it's long, but luckily there are plenty of other good brunch places around the neighborhood. But this place does have enough of its own charm and flavor that does sometimes merit an occasional "okay, let's wait." (See above mentions of waffles for examples.) On the weekends, the hostess does come around with mini pancakes, served hot and with maple butter for dipping, for the waiting mass. It's a nice touch. The hostess looked like she belonged as an extra on Saved By the Bell...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.276254579; Sentiment_Subjectivity (from 0 to 1): 0.55032967 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was highly recommended by a lot of people, so I had great expectations. It sucked more than the movie. Extremely disappointing. Especially for the price (compared to other divey sandwich places). It was so flavorless I had to root through the kitchen for seasoning salt. Definitely not worth the trek unless you're within a few blocks to begin with. There are much better places closer to major public transportation.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.086136364; Sentiment_Subjectivity (from 0 to 1): 0.466515152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 comfort food. It's a great place in the neighborhood to have a casual meal (usually on some form of bun/bread), with beer. I LOVE their vegetarian chili cheese fries. I'm not a vegetarian. I've learned to order them as my meal if I want them, because I end up bringing home whatever I ordered with it. I even got them once after having an unsatisfying meal at Perch down the street (seriously, we left, and I suggested, "let's go get vegetarian chili cheese fries," to which my companion responded, "okay!!!"). Needless to say, I haven't ever left Bonnie's unsatisfied. Their wings are pretty good, too. So is the pulled pork and the burgers. I just wish they were opened later.   It's great to see them cooking when you're sitting at the counter, too. I like transparency at restaurants, because you get to see how they handle your food before it gets to you. No hidden roaches.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.226956019; Sentiment_Subjectivity (from 0 to 1): 0.502592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cha-An is simply superb. The space is simple and elegant. I can sit comfortably with friends for hours. The menu is well laid-out; my boyfriend especially likes the map showing where all the teas come from. When my best friend comes into town, we usually spend some time having tea here; we usually split two different afternoon tea set menus, always featuring yummy pastries and other delectables. My last recent visit consisted of one of their delicious white teas (the $7 one - I'm blanking on the name for a moment). What drew me was the description of butter and almonds. Indeed, it did have butter and almonds on the nose, and the tea felt weighted with butter in my mouth. Delicious. My friend got these amazing earl grey tea chocolate mochis. $8 for three, but like scrumptiously smooth and rich chocolate tea truffles wrapped in soft, chewy mochi. Mmm. Another reason to love New York.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.288016529; Sentiment_Subjectivity (from 0 to 1): 0.54106159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent spot to grab a cheap eat-at-your-desk lunch! When I did work around here, I'd get a hot lunch box, with a drink and have spent less than those poor suckers who got some shitty sandwich at the deli. They have a stamp card... but no one could tell me what I'd get if I filled it up... As some of the other reviews say, I wouldn't touch the hot bar stuff. Stick with what's already packaged and you'll do fine. Don't forget your utensils! They don't put any in your bag half the time, so grab 'em yourself!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.135069444; Sentiment_Subjectivity (from 0 to 1): 0.575694444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love Soba-Ya! I was originally taken here during college, for their very reasonably-priced lunchtime sets. There's SO MUCH FOOD, and it's all so good! Usually, I'm not the type of person who raves about the amount of food you get, but it's so impressive here, considering the high level of overal quality. I haven't had a soba I didn't like from here. Everyone I've ever taken has liked it, too! I even took my dad and his family here, and they wanted to come back again! He's got two kids, and they love noodles, and the staff was very friendly with them. My vegetarian friends can always find something to their liking, as well. Dinner is more appropriately portioned. Appetizers look small, but they're artfully done, and delicious. Dinner's also more expensive, but still well within reason, in my opinion. They're nice if you have to wait for a table, as well. They'll take your phone number and call you repeatedly in order to make sure you get your chance. I missed their first two phone calls (my phone was in my pocket), and they called after a few more minutes, so I still got my table. Get dessert. I'm always happy with their black sesame ice cream, but I'm still sad they no longer have their chestnut parfait. Their milk jello with the macerated strawberry is good, too. Good sake list, too. I'm just a little sad they don't have their English-translated names (always fun with sake), but that's a tiny complaint.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.289191919; Sentiment_Subjectivity (from 0 to 1): 0.568047138 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 basically took five years for me to check this place out. I had met the chef one night when I was pouring (wine) at an event right when they first opened. But then I moved away from NYC, and never got to visit. Nonetheless, I was still subscribed to their email list. So, when a friend of mine wanted to go to a brunch place, this place automatically popped into my head. After four years, the maple bacon nuts were just as delicious as I remembered (they served those at the event I met them). I had the fried pork chop and cheddar waffle, and it was not a mistake. The breading seemed a touch underseasoned (nothing some pepper couldn't rectify - I tend to like things with a little kick), but the cheddar waffle was fabulous. It was great with my multiple cups of coffee and mimosa. Hopefully they'll still be around when I can visit again in another four years...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.364030612; Sentiment_Subjectivity (from 0 to 1): 0.588435374 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Good Fork is FANTASTIC. I probably ordered way more than was good for me. I was utterly famished by the time I made it over there, after I got off work around 9:45pm. The place was still full, so props to them. I hate walking into good restaurants that are empty just because it's late, and the obscurity of the Good Fork shows it doesn't have to be the case. I love the atmosphere, full of locals I recognize, très Brooklyn. I love that they try to incorporate Added Value (Red Hook Community Farm) produce into their menu when they can. For starters, I had the pork and chive dumplings. They were good - thin, chewy skins, well-seasoned filling and rich dark dipping sauce, but I think reading the other Yelp reviewers hyped them up a little too much to me. Nonetheless, good. I tasted my companion's fish and chips, and I loved the spicy jicama salad on the side. The spicy dressing mixed with the tartar sauce on the plate and it was VERY YUMMY. For mains, I got the Steak and Eggs, Korean-Style. I really liked it! The kimchee rice was good, and the steak was cooked as ordered. I LOVE runny egg on things, so that probably put it over the edge for me. The linguine I tasted was good as well. I liked the full-starchy crispness of the shrimp-scallion pancakes, as well. Dessert was chocolate bread pudding - surprisingly light and not too rich and good for summer. Warning: There are golden raisins in it, so if you don't like raisins in stuff, I'd choose another option. There was also some yummy chamomile grappa to be had. My only small complaint would be that some of the food took a little waiting to come out. It was delicious, and I wasn't in a rush, so it was no matter for me. The servers were polite and attentive. All this food cost me $90, including tip. C'est bon!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.292682927; Sentiment_Subjectivity (from 0 to 1): 0.601829268 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 starchy dinner... so full... (Oops, I didn't meant to post it yet... anyways) I had the prix fix dinner on Tuesday night... my friend Angie K. came to visit, and for once she didn't show up at 11pm. We could eat somewhere that wasn't a diner. I started with the turnip soup with tapioca. It was nice, but I think the salad would've suited me better. But the rock shrimp and Parmesan cheese risotto was WONDERFUL. It was thick and creamy, and shrimp was cooked well - very tender. The dessert, an apple steam cake, was delicious as well, on its corncake pedestal. Brunches are reasonably priced for an entree and (non-alcoholic) beverage, but the sides are small. I can't complain too much, though, even when there's a wait. This place is just steps away from where I live.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.386363636; Sentiment_Subjectivity (from 0 to 1): 0.627083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh Balthazar, so many memories! Ruth C.: (looks around) That guy looks just like John Malkovich! Me: (looks back) I think that IS John Malkovich... What lovely culinary delights at just about every time of day. I still love the duck shepherd's pie and the chocolate pot de creme. Salads are good, too. I used to treat myself to a fancy breakfast if I ever woke up early enough to get it here, haha. Even though this place gets noisy, I love the ambiance, the people watching, and the bread. My mom even loves to come here... actually, she just suggests it. (I don't think she's ever implied loving any place.) I've even had one of their grand tiered raw platters, with all the yummy shellfish you can eat. Very well done, I must say. It was past midnight. The only thing that detracted from it was Ann Coulter at the next table, babbling crap, drunk off amaretto sours (eww?) with some guy trying to get to second base.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.006530449; Sentiment_Subjectivity (from 0 to 1): 0.542147436 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, the pulled pork sandwiches are awesome. Sadly, one evening they were out, and I had to get the beef brisket instead. Happily, it was also awesome. They come with these amazing marinated onions. If you're on a low-carb diet (haha, you can get both meats on a plate for cheap. And Trevor's a nice guy, too. Mmm, delicious.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.566666667; Sentiment_Subjectivity (from 0 to 1): 0.877777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first thought was that I wished it was about a foot wider. Then you'd have enough space to get to your table without knocking the guy at the bar, or hitting some woman's head sitting at a table. The atmosphere, besides that,  was good. I love the industrial/antique feel of the bar and the fixtures. I love the lighting. I especially love the red bulbous exit sign/lamp and the porthole-fixture WC sign. Amazing chicken sandwich - on toasted baguette, with chipotle mayo and anchovies. Chicken sandwich epiphany. Good fries, too (and well-salted!) Wine list was a little frustrating, since I couldn't find anything to go with the sandwich. Then when I tried to order a beer, I found out they were out of gas and couldn't get me a beer-on-tap. So, slightly frustrated, I decided on a dark MOA (New Zealand beer). Delicious. If you're wondering if you should try it, I would say it was reminiscent of McSorley's (dark) and Smithwicks. (God knows I love Smithwicks.) It's the type of beer I could drink like water. And there's an emu on the bottle. Awesome. Note: CASH ONLY!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194266529; Sentiment_Subjectivity (from 0 to 1): 0.635812672 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Still going strong five years later. Had a good lunch here, with some good friends. The weekday prix fixe still exists. I was very satisfied.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.496666667; Sentiment_Subjectivity (from 0 to 1): 0.586666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I LOVE PERILLA. It probably didn't hurt that I had a little bit of a crush on him when I was watching the first season of Top Chef. Look at what chefs do with their hands! The decor is simple, the ambiance warm. The food is definitely the star. Anything with the word 'steak' in it is superb. Sunchoke puree. Seasonal ingredients. Fish with bacon. All delicious. I haven't had a single regrettable bite. Booze is good. I had a glass of this fabulous Armagnac Hors d'Age that I love. It was a decent price, and a good sized pour. Service is excellent as well. On one visit, I made OpenTable reservations for my visiting mom. I put "nice table please... my mom's in town and I want to treat her special." They gave us one of the 4 seat booths for the two of us. She asked me why they seated us there, since there were two tops available. I said it was because I asked for special 'mom' treatment!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.449315476; Sentiment_Subjectivity (from 0 to 1): 0.630714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here opening week with two other people - it was a warm, slightly humid evening, and they were very accomodating. We got seated by an open door, so we could people-watch and enjoy the occasional breeze. The food, for the money, is excellent. Portion sizes were just about right. Grilled menu items were good, as were other main dishes. There is a predominance of porcine items on the menu, as well as several bacon-wrapped items. I've never met a bacon I haven't liked - mine was darkly charred (in a yummy way), wrapped over prunes stuffed with walnuts. Delicious. The red pepper dip for the bread was also very good - similar to the red pepper dip at Scottadio (in Park Slope), but fresher tasting and chunkier. Vegetarian dishes were generic. I think the only main they offered was vegetables with rice. It wasn't filling for my vegetarian companion, but he was able to eat several appetizers. There are a few items on the menu featuring "creamy spread." Get the creamy spread. It's a thick, very light (almost white) colored spread that tastes like it would make a very awesome mac 'n cheese in another form. Mmm.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.232746032; Sentiment_Subjectivity (from 0 to 1): 0.441134921 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh, ramen. I always avoided this place because I despise going to places when I know there's going to be a long wait, nor did I want to head up to Hell's Kitchen to endure a shorter line. Unless there's someone especially cool to wait with me, even on a hot, humid September evening. I like that they have a pretty neat queue system, so you don't have to linger out on the muggy streets of NYC. You can go to Saint's Alp instead. This is probably some of the best ramen I've ever had. The noodles and the broth are just great. Everything's flavorful, and I LOVE that they give you the option for extra noodles, unceremoniously presented in a pile on a plate. I don't need to go into details, I don't think. It's just really solid for ramen. The decor is pretty swank, too, for a ramen place. The only downside was the slightly aloof bartender... I didn't want to order a drink from him because he just seemed annoying and elitist.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.152380952; Sentiment_Subjectivity (from 0 to 1): 0.64047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very cute and romantic- made the mistake of coming with a friend. Seems like a place that should be for dates only. They were out of a lot of things I would have liked to have. The skordalia was good but tiny for the price. The veal meatballs were excellent and filling. I bet the sandwiches are good, but they weren't available for dinner (I don't think... ) Bathroom situation is really odd... you have to leave the place and walk down a hall.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338888889; Sentiment_Subjectivity (from 0 to 1): 0.630808081 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sometimes you have to say screw you to the road less traveled. A group of 8 of us headed to Carmine's for a birthday celebration. We were in the mood for big portions and looked forward to conquering the giant platters. We were promptly seated for our 8 oclock reservation. Carmine's does a good job at acommodating large groups and it was easy to snag our Friday reservation. Service was Speedy Gonzalez as I am sure would be important to help their table turnover.  We ordered a few bottles of reasonably priced and reasonable tasting red wine. To start we kept it simple and got the caesar salad and fried calamari, you can't go wrong there.  Had to get the salad to ensure some vitamins and minerals in the meal, yea right- that thing was covered in dressing and packing the calories. Its almost embarrassing how much I liked both the salad and the calamari. We had the penne a la vodka, veal saltimbucca, and the chicken special of the day. I am guessing the secret behind everything being tasty is vats of butter.  I think we did a good job at ordering here, we got a variety of flavors and were too stuffed for dessert. You better believe the small amount of leftovers made an ideal late night post-drinking snack.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126952381; Sentiment_Subjectivity (from 0 to 1): 0.593269841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Himalayan Yak was the first of many stops during a family day in Jackson Heights, so we only ordered enough to get a taste. We started with an appetizer sampler, samayabajee, that came with shredded meat, pickle, beaten rice, and soy nuts. The beaten rice was very unfamiliar to us; it resembles uncooked oatmeal and had a pleasing chew and took on the sauce that it came with. We could not turn down the wild boar sausage, which looks like a fatty piece of bacon. It was loaded with smokey flavor but had a bit too much fat on it for me. Momos were another must have, we ordered the pork version. With the doughy bun and juicy filling, Sister compared the texture and flavor to a soup-less soup dumpling, and I agreed. I hope to return for a full meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.104040404; Sentiment_Subjectivity (from 0 to 1): 0.415656566 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Clearly if you come here you must have the black sesame creme brule. It is as good as everyone says it is. My friends ordered some unimpressive dim sum; so I suggest sticking with tea, sake, and dessert. There are some very reasonably priced sakes and (although on the expensive side for hot water and leaves) flavorful teas to please everyone. The early gray chocolate mochi was so tasty and different, but really intense, so it is a good thing to share.   There isn't  a wait before 630 on weeknights. Yes cash only, yes hilarious and amazing ladies bathroom. Oh, if you remember to ask, there is a weeknight happy hour special that gets you a few tiny but delicious snacks with an order of an alcoholic drink.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22752381; Sentiment_Subjectivity (from 0 to 1): 0.665904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little sister here for the pork buns early on a monday night to kick off our pork-filled girls night out- as we got up to leave who did we see in the middle of the place but David Chang! I was embarrassingly starstruck. He graciously took a picture with us and gave us that dimpled happy smile that radiated an inner light clearly stemming from pork enlightenment. In a time where many celeb chefs are rarely seen in the kitchen, it was nice to see him at his own place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.292708333; Sentiment_Subjectivity (from 0 to 1): 0.545833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 twice to the buffet in 4 days and I am itching to go again. You can be completely stuffed and have enjoyed several different well prepared items for $7. They are constantly replacing the steam trays, so you know everything is really fresh. I loved the bulgogi style beef, the zuchini pancake,veg mandoo, and fried pork in different styles. Good for a group even thought its small- you can take it to go and eat in herald sq park- just ignore the schizos hissing at you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205; Sentiment_Subjectivity (from 0 to 1): 0.493333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was on my way to the gorgeous public library and passed Kati Roll which I had heard so much about. Do I stop and get one, even though that means sneaking food into the library? Yes, clearly I do. I got one chicken roll and it was ready pretty fast and nobody was ahead of me (around 5:30pm) I wasn't expecting to go crazy over it like everyone in the reviews I have read- but that was silly of me. It really is that good. The flavoring is perfect, how is it so good? and why is it not closer to my office?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.182142857; Sentiment_Subjectivity (from 0 to 1): 0.626785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loco tuesdays get crowwwwwded, I really should have gotten over there earlier. There is no air conditioning or at least it doesn't feel like it and it is sweaty in that crowd during the summer. The happy hour mojitos, on the otherhand, are refreshing, strong, and nicely sized. We had half priced calamari and croquettas that were enjoyable. But we couldn't stay too long bc of the heat factor.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.251666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The soups are pretty stellar as well as convenient in this less than stellar neighborhood. The small is a great snack for 3.50 with the bread and an orange; its like your mommy packed you a lunch with all the food groups. They have a great variety for such a little place. On a nice, not too hot day I recommend grabbing a soup and sitting on the post office steps. The bisques are very good. I had an enjoyable spicy crab and corn soup today. The gazpacho isn't anything exciting, but gazpacho is never ever bad unless made with salmonella tomatoes, and its the appropriate summer alternative to the hot soups.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25622549; Sentiment_Subjectivity (from 0 to 1): 0.618431373 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 combination of the crispy fried cutlet and savory pork-based curry sauce tastes so right. It is a filling dinner or lunch at a reasonably price, especially with the free topping coupons- which would make it $5 for the smallest size, big enough to fill me up.  I like the pickled red thing a lot- fukujinzuke. You can order the curry sauce and put it on whatever you desire (your own chicken cutlets, over rice, on your boyfriend, etc.), its a little pricey though at 10 for a quart. They always have specials enticing people to come in, but the wait is never too long. And the wacky decor pumps you up even if you don't love baseball or speak japanese.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.117729592; Sentiment_Subjectivity (from 0 to 1): 0.570408163 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I finally got a chance to check out Margon. I decided to get the pernil sandwich over the standard cuban, just because I wasn't in the mood for extras on this day- pork only please. I was a bit confused by the ordering system. Cubans get made and ordered up front. For the pernil sandwich you order it at the first table, pay for it at the second, and then bring your receipt to the back where the meat is thrown on the grill, covered in its own juice, joined with some onions if you like (I do like), and handed over to you. The meat had solid flavor going on, though it was lacking pieces of crisp skin we all love. Its a pretty huge and satisfying sandwich for $6.50.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.167857143; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for the early bird prix fix I know its almost an impossible task, but if you get to the french-african influenced Ponty Bistro before 7:00 a 3 course meal is $20. Appetizer, entree, and dessert for twenty dollars! Any day of the week, this is for real people. Powerful martinis run $5. I made sure to take advantage of that. I found out about this place through my mom, who is always right about everything. She recommended the mussels as the appetizer. They came in a rich broth with tomato and lemongrass. The hanger steak entree was cooked to my liking, not at all bloody and with a great charred crust. The crispy side of potatoes also did not disappoint. I ordered the creme brulee and was pretty certain it would be forgettable. Could a $20 prix fix really go 3 for 3 with spot on dishes? And yet they did. The brulee had the right amount of sweetness and they even took the time to sprinkle on some powdered sugar and a strawberry. The space is filled with color and art and the big windows were kept open when the weather is nice. Our waitress was sweet; she there when we needed her and left us be when we didn't. This is an almost too good to believe deal up in here. So if you can bare the idea of dinner while the sun is still up, listen to my mom and get over there.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.158062771; Sentiment_Subjectivity (from 0 to 1): 0.59462482 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was planning on putting our names down and going to Sapporo to wait but we got a table right away on a Friday night at 8:30, I was so not expecting that. I'm sure if we were more than 2 people that would not have been the case. We had a blast here! Do not order the vinegar drinks, I have no idea why I did, it tasted like vinegar... The plum sour is delish though.   The deep fried octopus special was a favorite, as was the fatty pork. Eggplant was not impressive and we tried many skewers that were just ok.  I tried uni for the first time and enjoyed it. Somehow I ended up spending a lot more than I intended. Food is 3 stars but the variety, experience, and cheap drinks are more like 4. I want to go back to drink more and order differently.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.245615079; Sentiment_Subjectivity (from 0 to 1): 0.525912698 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 menu is amazing! Lots of interesting savory and sweet options for brunch. Coconut waffles and thai wings! Pad thai and surf and turf appetizer from the regular menu were both outstanding. Service was great. Didn't love the bloody mary, the other cocktails were better.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.30625; Sentiment_Subjectivity (from 0 to 1): 0.612692308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first passed by this place I thought it was some kind of new lounge. When I found out it was just ANOTHER 9th avenue Thai place I was disappointed. But the few reviews out about the restaurant were glowing, so I figured it couldn't hurt to check it out. This restaurant opened here in March and its other location is in Chelsea. The place is gorgeous: grey scale walls, classy moldings, a perfectly gaudy gaudy chandelier right in the middle, a cow print bar, vintage mirrors all around, and an entrance with huge glass windows and white door.  Maybe that sounds weird all together, but trust me, it worked. The Detox cocktail made me feel healthier as I sipped it; its an organic vodka cocktail with ginger, pomegranate, honey, and cucumber.Another cocktail on the menu is Redbull vodka, however they claim they use the original redbull that originated in Thailand. I am not a redbull expert, so I didn't taste too much of a difference, but its a cool idea. The menu has a lot of options, with standard dishes you would expect from a Thai restaurant along with more creative choices from what they call the "eat like a bangkokian" section. I normally like to pick something more interesting over pad thai, but Room Service offers the standard version and the bangkok version which is actually wrapped in an egg crepe.  A note at the bottom of the menu suggests adding on sun-dried shrimp, a typical bangkok snack. How could I resist that? The Room Service Pad Thai is presented beautifully and comes with regular shrimp (good), scallops and mussels (not as good) along with noodles that benefited from the hot sauce dotted along the side of the plate and th mango shreds on top. I really liked the sun dried shrimp, they are briny and have a fun texture, like some kind of shrimp jerky. The Bangkok pumpkin chicken curry had the perfect level of spiciness, but I would have liked to taste more pumpkin instead of just a standard curry taste. I would love to come back here for dinner as well as for the lunch special. One last noteworthy element of this place would be the flashy/sexy  ethnic garb of the staff, they match the pretty plates and interior.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.237331036; Sentiment_Subjectivity (from 0 to 1): 0.517964858 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After an iPhone ordeal, my girlfriend and I felt the need to treat ourselves to something small, tasty, elegant, filling and fun.  This was definitely what we found.  Though it's small, the food is amazing and the service is professional but laid back.  Our server made fun of the beer names and casually joked with us.  We sampled the to-die-for soup with a couple of beers, she had the shrimp and I the chicken (though I envied the couples around us with tons of amazing apps and snacks to share) which was more than filling and well worth the $18 each.  We finished it off with the best baklava I have ever tasted. Though the size, space, signage and servers are modest, this place will overwhelm your taste buds and help you feel down-to-earth rich.   NO LONGER cash only, $20 minimum on major cards.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.165131579; Sentiment_Subjectivity (from 0 to 1): 0.550877193 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I've had two 'so-so' meals her in nearly 3 years.  The rest were amazing.  Salmon and steak that will make you melt, a back patio for outdoor summer dining, and the most perfect brunch menu I've experienced (yay for Sundays). A bit pricey, but usually worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.471428571; Sentiment_Subjectivity (from 0 to 1): 0.542857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! My Father is as Greek as they come. This place mirrors his ingredients and yummy flavor combinations. When I eat the Greek Salad (Cucumber, Feta, Onion, Tomato, Olive Oil, Oregeno, Etc) I am transported to my backyard as a kid - eating summer dinner with the family. It is very tiny & Cash Only. I find it easy to go here right after work to get a table w/ friends. You will not be dissapointed. I would go as far to say best Greek food in Manhattan.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.244404762; Sentiment_Subjectivity (from 0 to 1): 0.506904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my favorite place for breakfast. If anyone asks "where should I take my out of town guests to brunch?" ... i send them here. LOVE IT Since the wait is always so long on the weekend, I will go to work late on a weekday to enjoy their delicious biscuits. =) YUM; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.364285714; Sentiment_Subjectivity (from 0 to 1): 0.728571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard about this place for a while before actually visiting for myself. I have to say that I stayed away because I heard the wait was too much and the front desk / host was never too kind. FInally decided to see for myself a few months ago and now I ask myself, why did I wait? We showed up around 8pm on a Friday night and was told there would be a 90 minute wait. We had one drink at the bar & 30 minutes later the host came and told us he was ready to seat us! Our waiter was very kind & witty and not what I expected to experience here. The food was very nice & overall I would definitley head here again...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.234166667; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally got to have dinner here last night. It was raining and we needed to have an early dinner to catch a movie. Rolled in a 6:15 and were seated immediately The place was pretty full for that time and the staff was VERY friendly. Very cozy place and a beautiful spot both location & ambiance. The food was very good, simple and tasty. We had: Starter - Duck Breast w/ arugula, parmesan, almonds & truffle Main - Crispy Chicken w/ asparagus home fries, lemon sherry & dijon Main - Pork Chop w/ parmesan butter beans and wild dandelion We skipped dessert. I would go back again and again. Brunch next time!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.157552083; Sentiment_Subjectivity (from 0 to 1): 0.543467262 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place would be better if they got rid of the white table cloths and the stuffiness. I did not like their back room where we sat. And the food was good, but not amazing as in 'oh my its the best place ever' This means, I would not go back. There are so many other Italian restaurants that have charm, coziness and a more relaxing feel. I wasn't comfortable here. I must say that their appetizers were very good. We had: * a thinly sliced asparagus with pecorino cheese * market plum salad with goat cheese and mint (daily special) For Main course we had: * Saltimbocca * Ricotta Gnocchi with sausage & fennel * Tagliatelle with pork ragu (special) * pesto pasta dish (cannot remember specifics) NONE of the main course dishes impressed me nor had anything that was memorable. Dessert: * House made tartufo (which was probably the highlight of the night) I was really disappointed because I heard such nice things about this place.  But it was a bit of a bore. You can't carry a restaurant on starters and dessert.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25344246; Sentiment_Subjectivity (from 0 to 1): 0.506855159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a glorious back garden! I was in love before the food even arrived.  This place has a few of the important points on my checklist: - simple, warm design - friendly staff - fun menu My BF and I shared the bbq braised short rib sliders, tuna tartare over eggplant tempura, lamb & chorizo meatballs and finished off with the seared scallops over a very fresh corn salsa. The two strongest dishes were the tartare & scallops. While the sliders were very good, I could take them or leave them. Unfortunately the meatballs seemed as if there were from a totally different chef. The texture and flavor was completely off and we ended up leaving them to the side. Between the beautiful backyard, good beer and the friendly service...I insisted on sticking around for dessert. We shared the special of the day - Key Lime Pie. We were told that the chef's mother made it and it rocked our world. Dinner for two with a few beers cost $70. Well worth it to enjoy leisurely summer dinner. It made forget all about those meatballs!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.261688312; Sentiment_Subjectivity (from 0 to 1): 0.520844156 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a rad neighborhood destination for good food. I love their Bloody's wiith a good breakfast... My favorite thing is that the menu changes daily which keeps it fresh and encourages me to come back for more. We try to head over at 11:30 on the weekend to beat the rush - works every time!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.280555556; 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: Ideal for ordering out, Snack offers delicious, um, I-cant-spell-it-lemony-chicken-with-little-pasta soup as well as quality tzaziki and hummus.  Recommend sharing the cold aps with a friend, though, as they give you quite a lot.  Not pricey but not cheap - still, a solid choice for a tasty work-day snack.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; 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: Supposedly one of the most romantic restaurants in the city.  Personally, I like to go there with a female friend and look at all the couples having dinner.  You can pretty much tell who has been together for a while and who is desperately trying to think of something to say.  I encourage assigning random conversations to the awkward couples - it's fun times.  Anyway, Ramblas is a bit pricey, but seldom disappoints when it comes to food - the chef's specials are usually pretty stellar.  The Sangria is pretty solid as well...and it  comes in handy when you're judging couples and their potential for future happiness.  Just don't go too late or you'll be waiting forever for a table - the place is the relative size of a postage stamp.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.065; Sentiment_Subjectivity (from 0 to 1): 0.527083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Penelope is always a solid choice.  My friend and I frequent it as "our place" whenever possible.  I highly recommend the arugula salad with warm chicken meatballs.  Even if you're eating quasi-low carb, you can totally chow down on this comfort food-feeling dish.  Low lighting in the evenings makes for a casual romantic vibe.  It can get loud, though, so the whispering of sweet nothings will have to wait.  Oh.....and there are cupcakes.  CUP.....CAKES.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.004188034; Sentiment_Subjectivity (from 0 to 1): 0.588119658 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My boyfriend and I went to Snack for Lunch today. The waitress seemed really stressed waiting the 5 tables that were inside and so the service was a bit slow. I had a cherry juice and he had a frappe- both good, though I'd recommend the latter. Each entree came with a "mezze" or appetizer. We ended up with a pie off the specials which was wonderful, stuffed tomatoes and peppers (good, light, a bit bland), feta salad, and tzatziki (best i've had in a while). Pita is an extra dollar. Overall it was a tiny bit expensive and slow but fun, as you have a nice view of the street.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.227083333; Sentiment_Subjectivity (from 0 to 1): 0.470833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok so I have thought I was being too picky or just came in on a bad night, but after a third time here, I can solidly say that this place is lacking. The famous razor clams were just decent, I loved the garlic flavor. But 1/5 tasted as if it had gone bad, and 2/5 were very very tough. The other time I had them, they were not cleaned properly. The bacalao was so salty and fishy I had to send it back. After the chef asked me why I didn't like it and I told him, he didn't say anything and just left the plate in front of me. Didn't notify the server or apologize. When I reported my qualms to the server, he apologized, and promptly gave me the dessert menu. Did not ask if I would like something else for dinner as a replacement. I had just one tapa before being handed the dessert menu. I guess they thought I was full? Or maybe wanted me to leave? Either way not very welcoming. Other dishes I have tried here on other trips don't stand out in memory at all. The two stars are for the great bar men , who are knowledgable about wine and helpful in picking and tasting to find a perfect match. Also the manager was nice and offered dessert but it was sort of too little too late as I had already paid the bill and made to feel uncomfortable by the staff. Sorry to say, Casa Mono, but I won't be back. Ever.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.029944444; Sentiment_Subjectivity (from 0 to 1): 0.533 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sobaya was a lovely experience. The simple wooden decor of the restaurant and the all-Japanese waitstaff with their cute accents really added a much-needed charm to a place like this in the city. The food, however, needs a bit more scrutiny. The tuna tartare appetizer was not appetizing at all. The tuna was sort of mushy and layered between avocado mush and something else that looked like onion and could have been jicama. Anyway, neither compliment complimented much. The soba, though, was phenomenal. I had the tempura, highly recommended. I guess some places are just good at certain things, but hey, its their specialty and it was delicious. Overall pleasant. OH and dessert was great! Try the matcha brulee.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.38172619; Sentiment_Subjectivity (from 0 to 1): 0.533452381 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really wanted to like this restaurant, and I did until I tasted the food- the ambiance, and the beautiful staircase up to the restaurant, were both breathtaking. No complaints about the service either- the waitstaff was very attentive and knowledgable about both the food and the wine on the menu, My friend and I got the 4 course tasting menu. We had the.. -Poached Oysters with Champagne and Roe/Lobster Vellutata -Blue Crab Spaghetti and Squid Ink pasta -Lamb, Bronzino, and Poached Lobster The veluttata was just like a bisque but lacked richness and thickness. It was totally thin, with tiny pieces of truffle and a piece of lobster crudo. The soup was absolutely boring and failed to stand out. The oysters were good but oyster-y. -The pastas were the best course of the night, though I found the Crab one oily. The scallops in the squid pasta were overcooked. -I got the lamb and could not even eat it for how gamey it was. The waiter describes it as "wrapped in foie gras" but it's actually apparently wrapped in lamb sausage.. ah.. that explains it. When they saw I didnt like it they offered to bring me another course, but this wasn't until my friend was already almost done with her entree (I'd barely touched mine.) Though it was perfectly cooked, I just couldnt stand the flavor. And the sides it came with! One of the things tasted like store bought guacamole!! -My friend's poached lobster was decent, though in dire need of salt. She liked it though, so I said nothing to her. -I got the bronzino as a replacement, and while better than the lamb, it just failed to shine. And it came with something strangely similar to the velutata. -For dessert I got the cheese plate (only 2 cheese with the prix fix??)  One of the cheeses, the one the cheese guy recommended, was one I thought sounded familiar. Didn't realize where I'd heard of it until I tried it and realized I'd bought the same cheese at whole foods a few weeks back. I don't get a cheese plate to taste something I can sample at whole foods.... Overall a disappointment, but far from "bad." In the future, Id stick with Marea. Classier, more open, and much better food in my opinion.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.135637255; Sentiment_Subjectivity (from 0 to 1): 0.505392157 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is one of the places I miss most about previous days I lived in NY...you just can't find vegetarian souvlaki like this in Denver. I make a point to stop here every time I get back to visit. It is great for take out lunch, although a little small for dinner (even by NY standards); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.115972222; Sentiment_Subjectivity (from 0 to 1): 0.386111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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:  The food is actually very good Cons:  Someone who doesn't drink wine or any alcohol for that matter must have picked the wines on that list... I don't see how it could be any other way.  We ordered a bottle of white and I swear it tasted like someone poured out half the bottle and refilled it with Milwaukee's Best or Natty Lite.  Also, the service was not very good or pleasant, which is very strange considering you can't possibly fit more than 15 people in the entire restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.265221445; Sentiment_Subjectivity (from 0 to 1): 0.433624709 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you thought $1 for a cheeseburger at McDonald's was a steal, you clearly have not been here. The fried dumplings are greasier than necessary as evidenced by the pool of oil in the styrofoam container after scarfing down my treat, but for $1 I can't complain - they do offer them boiled after all.  There are only a few seats crammed in and standing space is limited to maybe five people at this hole in the wall. As for the dumplings themselves, the skin is perfectly chewy and the filling is seasoned just right.  I still like my grandma's better (more veggie less grease), but these definitely fulfill any dumpling craving.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.157081807; Sentiment_Subjectivity (from 0 to 1): 0.482112332 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmmmmm.... mushrooms and eggs.  Did not look so appetizing on the brunch menu, however, waiter said it was one of his favorites.  Don't know what they cooked it with, but my tastebuds were definitely impressed.  With no wait during brunch (dinner is a different story), might this actually replace Locanda Verde as my fav brunch spot??; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy crap - this venue is a tight squeeze!  That said, the menu is interesting and priced very well for the quality and quantity that you get.  Out of the four dishes we ordered, the braised pork buns were my favorite.  All were tasty, but the dumplings weren't as special as I had anticipated.  Maybe I'm just being picky, having grown up in a dumpling household. I will be going back with more troops in the future!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.114880952; Sentiment_Subjectivity (from 0 to 1): 0.453571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cool place for a quick bite to eat  ($$ - decently cheap) if they have space (they only have like 5 super small tables in a row). I got the chicken and potatoes special which was excellent. Their hummus was okay, but not great. The place is small so don't expect to have a private lunch here... Definitely a perfect spot for a little shopping sustenance.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.172420635; Sentiment_Subjectivity (from 0 to 1): 0.664206349 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow. This place is awesome. The ambiance is fantastic for a date. The food is very California in my opinion. I had the heirloom bean salad for an appetizer and the arctic char for my main. I had two of their fresh juices as well both were excellent. I really liked the decor as well, exposed wood everywhere gave the place a very warm vibe. The lighting was vintage and the chairs where super comfortable. The large party table next to our table was a massive slab of oak I think. It was gorgeous. Looking to impress a date or take someone for a beautiful anniversary dinner, this is the place for you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.440267857; Sentiment_Subjectivity (from 0 to 1): 0.713035714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Solid. Enjoyed the special branzeno whole fish special, eyes and all. The bread was high quality as well. The waiter needed a lesson in how to pour wine cause he dipped a couple of drops of chardonnay into my pinot, sorry to be picky but this is NYC :). The goat cheese salad with endives was fab. Definitely a perf spot when in the mood for "American (New)" cuisine. Would have liked more of the dried tomatoes with the fish. I have only had whole fish about 3 times now, so I really don't have that much to compare it to yet.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.178369408; Sentiment_Subjectivity (from 0 to 1): 0.5298557 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Need a place to relax get a reasonable bit to eat and enjoy your surroundings? This is the place to be. Came here for a little snack on my last visit to NYC. We had some tea, hummus plate, and some chicken meat balls. I was a fan of the atmosphere and the nice feng shui. Well run joint, 4.3 stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.06875; Sentiment_Subjectivity (from 0 to 1): 0.602777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're looking for a high energy ramen noodle place this is it. I recommend ordering the pork buns too (I got the chicken ones) and the option on getting another set of noodles when you're half way done with your soup. I liked this place a lot. The sake was served in a wooden box. The bartender was super sweet and cute. The prices were totally reasonable -- $13 for a big bowl.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.137666667; Sentiment_Subjectivity (from 0 to 1): 0.547333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this place is tiny so getting seat can be a feat.  if you are lucky, get some mint lemonade.  it's nice.  i got the portobello and roasted red peppers sammy on cibatta.  it was good, but drippy.   it did the i'm taking a bite the contents are squishy out.  i still enjoyed it despite the falling apart bit.  felt like the waitress was rushing us out, but could understand with people waiting to eat.  would definitely go back to try the combo platter.  choose 3 items and pita galore.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304761905; Sentiment_Subjectivity (from 0 to 1): 0.519047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: surreal is what my boss said after he completed the meal.  i had the pleasure of hosting a business dinner at this fine establishment.  danielle and the staff at bouley were fabulous.  my party were seated in the white room.  i was hosting a quite a few international clients and they all remarked on how they would never assume a place like this existed i new york.  star to bouley. guests had: Chef's Seated Canap  (a cold gazpacho) ~~ Braised Hawaiian Yellowtail with Cavaillon Melon Hon-Shimeji Mushrooms Aromatic Ginger Sauce or Organic Connecticut Farm Egg Steamed with Black Truffle Serrano Ham Parmesan Reggiano and 25 yr old Balsamic Vinegar ~~ Seared Atlantic Halibut with Organic Cauliflower Pure, Jumbo Green Asparagus, White Pearl Onions Maitake Mushrooms and an Almond Champagne Cloud or Tea-Smoked Organic Breast of Long Island Duckling Early Spring Rhubarb, Black Trumpet Mushrooms Tahitian Vanilla Glazed Turnips Texas Date-Parsnip Pure or Organic Colorado Rack of Lamb Homemade Sheep Milk Ricotta Gnocchi, Rocket Salad Fresh Sage and Zucchini Mint Pure ~~ Passionfruit and Apricot Gele Espresso and Fromage Blanc Sorbet ~~ Crme Brle Infused with Tahitian Vanilla or Warm Chocolate Brioche Espresso Anglaise Dulce de Leche, a Saffron Tuile Prune Armagnac Ice Cream i had the yellowtail, duck and chocolate brioche.  all were excellent and from the fellow guests they too enjoyed the other options.  they even had no problem with my one veggie guest.  she had the egg without ham, a onion tartlette with various veggies and the creme brulee. there indeed is a bread service and boy do they love to push these carbs.  don't forget ladies, to grab your lemony poundcake on your way out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.137502165; Sentiment_Subjectivity (from 0 to 1): 0.475848485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: trekked down pre-snowstorm for brunch on this saturday AM.  tony list their iced coffee as tops and i had to have some even on this burrr chilly day.  it was delicious.  a heaping glass of goodness.  i don't really drink my coffee black but before they could bring the milk i was sipping the glorious java.   i had the breakfast sandwich with egg, bacon and cheese.  got a side of the has too for good measure.  the sandwich isn't as good as the one at bark, but it's hefty on a nice fluffy wheat bun. i love the decor of the place.  sorta girly southern gothic.  the waitress are easy on the eyes for you gents out there and super sweet.  our's forgot the hot cider my friend order and ended up taking it off the tab due to the tardiness.  that's what i call customer service.   i'll be back for cocktails and the meatloaf sammy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.224673203; Sentiment_Subjectivity (from 0 to 1): 0.552777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: first off, i'm not a ramen enthusiast. i kinda don't mind the instant.  i know!?!?!? what kinda asian am i?   time in line: 45 minutes time eating: 20 minutes i had the miso, which heaped with a dollop of the stuff making it quite salty. then i later was told i got the wrong signature ramen.  it was all about the chicken.  maybe i might be back to brave the lines to have my mind changed?  undecided. might stick with zutto. NOTE: CASH ONLY!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.005555556; Sentiment_Subjectivity (from 0 to 1): 0.538888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dinner here with my friend's visiting family.  it was a group of 11 of us.  the food is your typical italian family style.  the portions are HUGE.  it reminds me of buca di beppo in sf.   we started with the antipasti, which was a nice smorgasbord of calamari, green bean salad, salami and cheese.  it changes quite a bit.  also, complimented the starters with the carmine's salad.  we got a penne with red sauce, chicken scallopine, broccoli and meatballs.  we ended with the insanely large titantic  - chocolate flourless cake top with ice cream, whip cream and bananas.  warning the dish is 50% whip cream.   also notable is that when paying they can only take 3 transactions (ie. cash and two credit cards or 3 credit cards). the place has a huge waitlist.  apparently a month long, but lucky a friend knew the manager and go us in.    okay, going to eat my leftovers now.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155059524; Sentiment_Subjectivity (from 0 to 1): 0.566369048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: wait time for brunch: 30 minutes.  don't be daunted by the wait time.  they might say 45 minutes to an hour, but you'll get seated sooner thanks to the super fast service, though our waitress had to double check our order.  i think she was moving a little too fast.   not bad for the famed brunch spot.  we started off with post-turkey cocktails.  i had the bourbon apple cobbler (bourbon, cider, ginger ale goodness).  my companion did not enjoy all the ice in her bloody mary.  too much ice = watered down bloody mary.  we both had the breakfast biscuit sammy with bacon, and man oh man, these biscuit are deserve all the accolades it receives.  crispy crust with a fluffy interior. tomato jam was perfect paired with the scrambled eggs and melted cheddar.   i was, however, disappointed by the "hash browns", which looked more like home fries. i'll be back for the $10 beer and burger.  oh yes, i will be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.006095679; Sentiment_Subjectivity (from 0 to 1): 0.481790123 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: wow, i didn't realize this spot was so new.  with that, i would have to concur with the three review previous to mine about the space and staff.  my friends and i were later comers to already cozy booth of birthday revelers.  we were promptly handed wine and beer menus.  when we weren't quite ready to order, the waiter was easy breezy and gave us the no rush look.  i had a duvel ($7) and palm ($4).  reasonable prices for these belgian brews.  we pretty much closed the spot out and the staff there were not anxious to get us out the door.  there were many empty wine glasses when i arrived so i'm assuming this was a good spot for it.  i'll be back to try a glass or two.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.138535354; Sentiment_Subjectivity (from 0 to 1): 0.533636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place and I can't believe it took moving out of the nabe to finally check it out. With my best friend and her sister in town I wanted to bring to a Brooklyn locale versus the latest foodie write up. There was a line but moved steady and it's true they dole out snacks while you wait. First orange slices, then sausage and lastly fries. When we were seated orders were taken promptly with a smile. I was already settled with the meatloaf and eggs when I saw it on the menu outside. One of my friends got the same and the other the last order of corned beef hash. We got an order of lemon ricotta pancakes for good measure too. I have no complaints just love for tom's. Yes the corned beef hash is canned and the coffe ain't stumptown but the charm of this longtime nabe spot deserves it's 5 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.276111111; Sentiment_Subjectivity (from 0 to 1): 0.417777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: stopped by to meet up with pals.  i'd been previously and brought in bon chon chicken all to be scolded.  jadis doesn't like outside food in their establishment.  got it!  it's a great place to share a bottle or two with friends while having a few nibbles.  don't expect to get full here.  i did enjoy the bacon wrapped scallops though i wish they were bigger.  the cheese plate is excellent.  extra bread is free.  the chorizo didn't resemble the spanish meat that i love. exposed brick makes up for it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.191025641; 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: came here for brunch.  friends popped by to put our names down early for  a party of 7.  they were nice enough to seat us shy one person.  they usually only seat complete parties.  i was bummed because they weren't offering the pork samich that i heard much about from friends, so i settled on the soft scramble with thick cut bacon. the eggs were a bit more well done than i was expecting.  my friend who had the same agreed.  we ordered the artichoke dip as we had read the yelp comments.  i was underwhelmed by it personally and it came after all our entrees arrived.  we were hoping that it would come first but maybe because it's popular there was a delay?  maybe i'll be back for the elusive pork samich.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.093402778; Sentiment_Subjectivity (from 0 to 1): 0.448263889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 coworker was raving about their burger, so i finally partook last night before a show at the bell house.  i've walked passed the joint numerous times and i was surprised by the interior.  smaller than i thought with a long diner bar occupying half the space.  we were seated in the back and i was quite cozy with the park slope mom behind me.  so close that i wasn't even able to hang my coat behind my chair.  a slight head jerk back and i might have headbutted her. despite the tight quarters, the burger was the guest star.  don't forget to cajun sauce, which is more a mayo.  it adds a next kick.  i had the angus burger with american cheese and carnelized onion.  i devoured the burger.  it was mighty hefty.  cooked medium rear just the way i like it.  zach h. is right about the bun, but the patty isn't shabby itself. i'll be back for another burger and maybe sit at the bar since it was a bit too cozy where i was.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.001082251; Sentiment_Subjectivity (from 0 to 1): 0.429383117 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: went by to grab a slice of the spinach and artichoke after the buzz about the goodness rivaling di fara.  i haven't been to di fara, but this pizza was darn goooood.  only $3 a slice.  oozy cheese and chewy crust. i'll be back for the fried artichoke and beer.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 were thinking about a drink post-noguchi viewing, so we trekked to sweet afton for a quick pint.  felt like we should of had cocktails instead, but i had a guiness and my pal a captain lawerence.  the space is rustic with lots of exposed beams.  there's a small outdoor area in the back.  the grilled cheese seemed to be the popular snack of the night.  i'll be back to savor the cocktails.   p.s. didn't seem "hipster" on a sunday afternoon.  looked like some families and locals.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.172222222; Sentiment_Subjectivity (from 0 to 1): 0.408333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: after many tries to eat at this tiny byob rustic french spot, i succeed in getting resies through open table for 7pm.  it wasn't crowded on a thursday night.  the windows were wide open so it was like dining alfresco.  the staff was VERY attentive.  we started with the octopus which was very tender and not chewy.  all tentacles too!  i had the curry mussels which was of spices but not spicy.  the apple gave it a nice sweetness. we ended with the profiterolles, which wasn't as bitter as other yelpers have claimed.  i'm not a dark chocolate fan and i was fine with it.  gobbled that sucker up.  probs be back for the 5-7pm prix fixe special on weekdays.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.117282913; Sentiment_Subjectivity (from 0 to 1): 0.485084034 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: came here to celebrate a birthday over a ginormous helping of meat.  we came, yes, for the bo ssam and heck we weren't the only ones.  the tables next to us threw down too.  there was 10 fine ladies present and we clean that pork like nobody's business.  no men = more meaf for the ladies.   we also started with pork buns, short rib sandwich and market greens (swiss chard).  i never really jumped on the david chang train, but i might be after this meal.  the pork was soooooooo tender.  lettuce, rice, pork, ginger scallion sauce, kimchi and oyster on top = heaven.  heck we even had room for dessert at milk bar. i highly recommend the bo ssam for the amount of food and reasonable price for momofuku.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.157314815; Sentiment_Subjectivity (from 0 to 1): 0.427407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i FINALLY checked out dos toros after my SF pals mentioned a possible burrito option for us missing the land of the mission.  i got the carnitas, black beans with guac.  i do like that they steam the tortilla with a slice of cheese.  i got me a anchor steam summer ale (delish!).  i went halvsies on the rito and my pal got 2 pollo asada.  i liked the rito, but it was a bit wet and drippy for my liking but they did manage to pack the burrito so i was able to eat without too much of a mess.  the taco was on a corn tortilla and a good helping of chicken and salsa.  mmmm. i might check out the new location in the village for lunch.  hope there's more seating there.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.096085859; Sentiment_Subjectivity (from 0 to 1): 0.582323232 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i went here last night for a birthday party after a venue change from whiskey brooklyn.  it wasn't the desired crowd they had hoped for.   step into the counting room and it's exposed brick illuminated with hanging mason jar light fixtures.  though i didn't take advantage the table service and snacks, my fellow celebrators were impressed.  a waft of the meaf platter was enough for me.  i hit the bar and was amazed by the one man show.  i was a bit of a pain asking them to change the keg so i could have the one beer on tap (six points).  i was already denied the brooklyn lager winter ale.  he warned that it would take 5-10 to change the keg.  it took a little longer, but the show i had while waiting was worth it.  the bartender is a speedy mixologist.   the speed doesn't take away from the drinks.  my pal was fully satisfied with the long slow dance. downstairs is just as appealing and cooler.  djs spin house, radiohead (yes, i busted out my ragdoll thom yorke dance), robyn.  a little somethang for everyone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.179545455; Sentiment_Subjectivity (from 0 to 1): 0.515151515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: popped in for a dinner with an out of towner.  i had rice in a soba spot.  i got rice with salmon sashmi and roe.  mmmm.  it was a generous helping and my noodle eating pals were jealous of my selection.  i'll be back to try the main attraction.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.083333333; Sentiment_Subjectivity (from 0 to 1): 0.166666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG friends, OMG!   yes, it is true about the lines, but you can stop by early to put your name down and they will call you when your table is ready.  i was impressed that when i was checking in she even remembered that i wasn't said person who put down the reservation.  for a restaurant that queues up a storm i'm impressed they could recall my friend's face was not mine.  they let me wait inside while the table was getting cleared and was patient that the rest of my party wasn't present.   we were promptly seated and drinks were taken.  one miff was that coffee doesn't come with brunch, though it is gimme coffee.  so that's extra $2.50.  you do get your choice of mimosa, bellini, juice or sparkling water.  i had the famed pecan pie french toast and it was epic!!!  two thick slice drenched in molasse with a healthy dallop of whip cream.  mmmmm!  it twas gastro heaven. i will be back to try the short rib hash.  need to review the savor to the sweet.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.200575087; Sentiment_Subjectivity (from 0 to 1): 0.403298611 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend recommended the place so i headed over there after a morning of moving.  i ordered the french toast since i've heard so much about it and boy did it live up to the hype.  it was soft and moist with a crispy, not too flaky crust.  it twas perfection even though it was a bit burnt.  still delicious.  the canadian maple masked any ashy taste.   my friend got the frittata with prosciutto and onions dressed with a side of mixed greens.  the salad was divine and lightly dressed.  the frittata though good, had big chunks of prosciutto and i guess i was expected more minced pieces. the service was good however near the end when i was waiting of change it took quite some time.  i had a feeling they wanted us to leave them a HUGE tip.  i waited out and left my normal 20%.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.267897727; Sentiment_Subjectivity (from 0 to 1): 0.446875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: stopped by for brunch with an out of town friend.  it was jammed, but we managed to get seats at the bar.  i had the grilled halumi and artichoke hearts salad.  the dressing was light but i still devoured it.  my friend went with the winter special of the israeli stew - cholent.  slow cooked overnight with beef, potatoes, and beans.  it was delish!  get it you won't be sorry.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.043571429; Sentiment_Subjectivity (from 0 to 1): 0.654285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: okay, on the continuing quest of the best pizza in ny, i finally hit lucali.  difara still takes the crown in my book, however lucali has quite the ambiance.  my west coast pal was back in ny for a week to enjoy all the fine eats he came to love while he was in med school.  he loves grimaldi's, but convinced him to try another.  he came willingly. all pies are large and come with free fresh basil.  everything else is an additional charge.  we went with pepperoni, mushies, garlic and the special topping of the day - italian artichoke hearts with stems.  mmmm!  jealous?  i know you are. no beer or wine, but go to the corner store.  lucali's is byob. we shared a 6 pack of asahi and a large pizza.  my pal was still hungry so he ordered a "small" calzone.  friends, small is large.  no joke!  he ended up taking half home.  the calzone comes with a huge side of sauce and freshly grated cheese.  mmmmm!  i had a bite.  thank goodness i had a nice walk home to p. high to burn off all i ate and drink. the place is tiny and prolly why you hear about the lines. you can call 5-10 minutes before you plan to arrive to check on table availability.  phone lines open after 6pm.  there wasn't a a problem for a table of two, but if you have a group of 4+ prepare to wait. t hey just don't have many large tables. p.s. i went on last night, even tho there's a sign in the window saying it's closed on tuesdays.  maybe i went on a day people thought they were closed.   anyhow, i would be back to enjoy a pie with a friend.  (note the singular)  i can't believe i didnt' know about the place when i lived in the hood.  they do take out too, so if you can forgo the candlelight that might be an option for you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.212995392; Sentiment_Subjectivity (from 0 to 1): 0.448678955 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hearing about this spot for brunch and finally headed over with an out of towner in tow.  true about the $14 min per person.  prix fix includes beverage and entree.  i had the frittata and it was huge.  i'm a breakie eater and i could not finish.  i also got canadian bacon on the side.  mmmm.  oh and we shared a side order of the honey crisp apple pancakes.  yes, i'm gluttonous but it's cold outside.  a full belly = warmth. they have a nice veggie option and the special was a veggie curry.   the waitress over charged for the bacon but quickly rectified it.  we didn't have to wait foe a table.  got the last one.  i would definitely get there by 11 to beat the crowd.  get ready for cozy quarters. i'll be back to try the dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.136031746; Sentiment_Subjectivity (from 0 to 1): 0.563650794 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 visiting best friend and i popped in here for a late lunch in between shopping.  when we put our name down they said an hour and half.  we wandered over to madewell and 30 minutes later returned.   they had a table for two ready.  i totally think they scare people off with an overestimate of wait time.   i had the special of the day which was the bouillabaisse filled with maine lobster, cod, a clam and a mussel.  my bff got the moules and frites.  i was thoroughly enjoying the flavors of the bouillabaisse and dips bread and the remaining soup.  that good.  i was disappointed that there was only one clam and mussel.  luckily, my bff let me savor some of her's.  i must say i've had better mussels.  chez papa in sf and bistrot du coin in dc.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.174550265; Sentiment_Subjectivity (from 0 to 1): 0.557354497 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 looking forward to this opening of morimoto vets jamison blakenship and david koon.  when i was told wednesday would be the night, i was there.  there was a group standing outside opening night.  it would be a 30-45 minute for a table for two.  the waitress did ask if we lived in the hood and would call us when our table was ready.  that's a nice touch.  called me in 30 and were seated.   we started with the pork gyoza ($7), which were good but not mind blowing and i thought my pork was like underdone in one of them. as the waitress explained, the thicker the broth the thicker the noodle.  i went with the middle road and  had the soy ramen with berkshire pork ($12).  the broth was tasty and i would have to say the best thing about the dish. my noodles were chewy, but unfortunately all clumped and stuck together.  :(  the pork wasn't tender as i was expecting.  the egg was nicely cooked though with a golden soft yolk.  i'm not a fan of yolks and i devoured it.   maybe i set my expectations too high, but i was disappointed.  i did have my roomie's lighter pork broth and thinner noodle ramen.  she had chicken which i liked better, but still my soy broth was better. the service was good on a opening night and i felt like there were more servers than necessary for a tiny 35-seater.  turn around on table is quick. i don't foresee ippudo waits.  i look forward to more stars for chuko.  i'll be back as the menu expands. Note: CASH ONLY; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.187733333; Sentiment_Subjectivity (from 0 to 1): 0.5976 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i was denied last week after a 1 1/2 hour wait was insurmountable for my hunger.  so i came back much earlier (before) 6:30 and walked straight in and plopped myself at the bar.  ordered up a session while waiting for my friend to arrive.  i went with everything but the kitchen sink.  classic balls and tomato sauce.  the house veg for the night was beets, hummus, cucumber and rocket.  enjoyed the veg more than the balls.  the meatballs were still good.  nice and moist.  okay this is sounding a little dirty.  but i'll be back for some more.  maybe a slider or smash.  more sides and dessert next time around.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211197917; Sentiment_Subjectivity (from 0 to 1): 0.420833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i finally got to this spot after hearing endlessly about the burger.  we got in there late and lo and behold no wait on a tuesday night.  we were ushered tot he last open table upstairs.  and crazily enough seat in the same booth as joe jonas.  i hadn't noticed as i ungracefully slid in the booth.  oh well.  for joe fans, he was dining with two blonde aussies.   but back to the food, i had the famed burger and the meat was cooked at my perfect medium rear.  the bun was toasted lightly as i like.  the only thing that i wasn't a fan of was the roquefort.  the meat was the standout and there was plenty of it and a heap of shoestring fries.  i didn't finish even with help from friends.  i am disappointed with myself.  i had a bit of my pal's skirt steak and it too was a fiiiine piece of meat.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.017307692; Sentiment_Subjectivity (from 0 to 1): 0.537820513 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 celebrated my birthday at bogota.  i had a party of 10.  unfortunately they don't take reservations past 6:30.  my group was all there before 7:30, but had to wait for a table.  a few friends put out name in a little after 7.  we were seated before 8 however.  i just think for big parties they should make an exception for groups.   i got the colombian pollo sudado.  the chicken was tasty and the yucca was delicious.  i had literally a enough food for another meal the next day.  my roommate got teh steak and the seasoning was spot on and cooked well at medium rear.  she wished there was more of it.   bogota throws done the drinks.  mojitos were great, but the ginger caipirinhas were by far the best.  i could drink a vat of it.   they brought out tres leche, chocolate and carmel churros and soemthign i cant' remember now.  there were quite a few birthdays in the house.  i would recommend this for birthday celebrations.  good for groups and doesn't break the bank for a good fiesta.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.188970588; Sentiment_Subjectivity (from 0 to 1): 0.529411765 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i love the atmosphere of bubby's.  i've never been until yesterday when we were celebrating a coworker's birthday. (we had a  party of 12 and they were great with ressies.  we were late too and it was fine.)  i love all the old timey photos on the walls and the informative food placemats.  oh yeah, the food ain't bad either.  i had the tuna melt special and devoured it.  the rest of the group was fairly satisfied.  the birthday gal got the tuna melt and said it was a bit sour for her.  i would say it was the relish.  everyone raved about eh mac n' cheese, so don't forget to compliment whatever you order with a side of that. bonus: their soda pop, though $4-5 in price, use sugar cane and not the dreaded high fructose corn syrup.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198528139; Sentiment_Subjectivity (from 0 to 1): 0.557099567 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i can't believe i haven't yelped this yet.  i heart mooncake so much.  the entrees are reasonablly priced and flavors infuse the meafs.  place gets packs but you can get take out.  mmmm!  great food and reasonable prices.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this just in...no line at grimaldi's last night at 10pm.  maybe because it was flippin' freezin' or maybe close to closing time.  i only dream of just walking into this fine establishment.  last night was a dream come true.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.153333333; Sentiment_Subjectivity (from 0 to 1): 0.456666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: came in tonight to test run the spot for a work dinner i had planned for next month.  the staff were uber friendly and amiable. checked in our coats and straight to our table.  the event manager had booked the table for me.   we started with cocktails.  my brit boss went with a cosmo and the waiter asked if we liked ginger.  i said why yes i do.  apparently they have a signature ginger cosmo that no longer is on the menu, but the bartender would make upon request.  it was delish thought not spicy as i was expecting.  it's ginger infused vodka, triple sec, and white cranberry juice. the waiter brought us an amuse bouche of a tiny sunchoke and celeriac with a soy marshmellow.  playful and tasty. started with the scallops which were perfectly seared and more sweet than spicy.  i had a bit of the lentil salad from my dining companion.  it was quite a portion for a starter.  veggies would love it.  the pecans bring out the nuttiness of the lentils.   before the main, we received another amuse bouche of mushroom ceviche on aubergine miso and ginger ponzo sauce.  the sauce packs a tart punch.  i had the tofu porcini gnocchi, which was an interesting texture of crispy gnocchi.  the dashi sauce was packed more heat than i expected.  my boss had the lamb which looked divine.  i'm not much of a lamb person, but she seemed to enjoyed to its last morsel. i had the key lime tart for dessert and my boss went for the hokey pokey  ice cream.  it's a new zealand treat with honeycomb broken into vanilla ice cream.  my tart was a nice refreshing end to a delightful meal.  can't wait for round two in a few weeks. on an event planner view, kim has been a pleasure to work with.  got back to me quickly and had contracts prepared.  open to dietary substitutions.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.223712121; Sentiment_Subjectivity (from 0 to 1): 0.498484848 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: okay, my friend suggested this spot for post-true grit viewing.  it's a tiny, narrow spot that i must is fitting for the down home shophouse cooking.  i went for the signature pure thai noodles.  i had the ratchaburi crab and pork dry noodles.  my bbq pork was on the fatty side, so that would be my only complaint. noodles were chewy and crunchy.  a hard consistency to master.  there's just a little soup at the bottom of the bowl which adds prolly helps.  my friend and i went halvsies on the chicken curry  puffs.  4 to a dish and delish.  the wrapper looked like it would be dry and crusty, but it fooled me.  it was nice and moist.   another pal came later and had the egg omelette and recommended for our next visit. oh yes, pure i will be back.  i will elbow time square tourist to return to your deliciousness. i will also remember to get beer from across the street.  BYOB friends!  BYOB.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.002078112; Sentiment_Subjectivity (from 0 to 1): 0.472660819 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: dare i dine in brooklyn 3 days in row.  DONE!  i saw a 2 for $25 at pt and was there, but sadly i was told it was a typo.  i stayed and had dinner with a pal i haven't seen in quite some time.  we ate in the backyard since spring had arrived.  they said they just set it up today for the weather.  sweet! i was going to get the prix fix but i wanted the barbabietole salad.  i'm a sucker for beets and mix in apples, celery, carrots, pine nuts, raisins and gorgonzola = happy camper.  i got a paste that i can't recall the name of but was tossed with homemade sausage and broccoli rabe.  it was delicious, but a little salty by the time i cleaned the plate.  i might have overdone the cheese. dessert was the tiramisu, which was interesting because it was made with bread instead of lady fingers.  not traditional, but still tasty.  at the end, the waiter presented us with a shot of grappa each. grappa on st. paddy's?  why not! i'll be back for that barbabietole salad.  mmmmmm; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194444444; Sentiment_Subjectivity (from 0 to 1): 0.688888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: a group of us hit this for a farewell brunch for a friend that was moving outta brooklyn.  3 out of 5 of us had been, but i was one that hadn't had the fortune of dining there.  i was the first to arrive.   note: they do not seat you until your entire party is present.  we got there a little after noon and didn't have a problem getting a table once we all arrived.  my friends had raved about the biscuits and gravy, so i had to get them.  i was not disappointed.  i also got the greens for an extra $1.  they were tangy, vinegary collared greens with bacon on top.  they had me at bacon.  i was thoroughly satisfied.   also, the servers are super friendly.  while my friends waited the bartender was happy to make a drink off the menu as long as he had the liquors to do so.  that's what i call go above the call of duty.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22275641; Sentiment_Subjectivity (from 0 to 1): 0.498076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay I already give it a star for being steps from the lorimer and metropolitan stops.  We managed to beat the Friday night rush getting in at 8.  First up drinks, which are reasonably priced at $7-9. I had the gin Rickey, a no nonsense gin, lime and soda.  Delish!  We shared the Brussels sprouts and the cornbread with jalApeno and bacon.  Dude only 50 cents more for heat and salty meaf.  I a spicy sensitive gal but the corn beard comes with a honey bear which help me cut the heat.  I got the meatloaf Sammy which I liked.  I didn't know that they would put in the mash in the sandwich so that was a extra pleasant surprise.  The bread was a thick cut of fluffy and chewy carb.  I had a bit of my friends shrimp and grits, which was good.  The sweetness of the shrimp added to the grits.  I also had me some of my other pals Mac n cheese. it was cheesy and crunchy since they baked in a skillet. We shared the apple tart which was nice with the cider molasses.  Otherwise it would have been pretty standard.  For price and location, this place can't be beat.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.19754902; Sentiment_Subjectivity (from 0 to 1): 0.620588235 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: returned with visiting friends who were fans of celeb chefs.  i started with the sea scallops which melted in my mouth.  the arugula puree paired nicely with the pan seared mollusk.  then, i went with the tasting of  "three little pigs".  i enjoyed the berkshire tenderloin the best of the three by far and i was surprised by how filling it was.  the pate was aight but not as spicy as i was expecting.  i'm not one to handle the spice so i was fine with it.  the fried boar was my least favorite because really  i didn't feel like it came together for me.  it was tasty but i'd take more berkshire tenderloin thank you very much. i still enjoyed perilla and definitely worth the price tag.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.320654762; Sentiment_Subjectivity (from 0 to 1): 0.575714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: just got back from a quick beer and corn.  had to get some outside goodness before the rain clouds come in.  i love the atmosphere there.  good folks enjoying good food, drinks and company.  $2.50 draft beers and you must get the corn for only $2.  we were discussing whether habana corn is better than red hook ball fields corn.  i think the flavors of habana's is superior however you get more in red hook. get your butt out to habana outpost at least once this spring/summer.  you won't be sorry.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.242222222; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: was quite the wait for brunch at this spot on the grand street stretch.  it's nice they have a back waiting room area.  yes, go through the narrow front half of the restaurant and there is a haven in the back complete with fireplace and couches.   i had the duck confit hash, which i knew i would order after see the menu days before.  i have to say i was a little disappointed.  the duck was a bit drier that i was expecting.  i did share the pancakes with my fellow diners and they were uber fluffy and i would go back for them.  the rest was ok, but not nothing i have to run back for. CASH only!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.013988095; 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: yum yum in my tum tum.  i got me the #5 double pork katsu.  got me some delicious golden curry before the golden state warriors blew out the knicks.  the curry is thick and plentiful and the katsu pork is perfectly crispy.  mmmmmm!  i shall return to you go! go! curry.  i SHALL return.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.383333333; Sentiment_Subjectivity (from 0 to 1): 0.579166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: popped by monday for a catch up nightcap with a gal pal.  i got the pink moon - gin based, which i like to say is a fancier g &t with lime and grapefruit juice.  it was good.  my pal had the james and the giant peach but they ran out of peaches.  i had a sip and that cocktail was pretty sweet.  i like to taste my bourbon.  they have good cheese and meat platters on saturdays, so i might be back to check those out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.271428571; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hit up this much lauded pizza joint as a group of six.  they gave us an hour wait time so we grabbed a drink at the pencil factory.  it turned out to be less than an hour so i had to down my pint. they don't take resies nor do they take your number to call when your table is ready.   the space isn't tiny and reminds me of a warehouse/barn.  communal tables galore with a tiny bar up front. we were seated at the back table with a good view of the pies getting kneaded, tossed and slid into the oven. we ordered siz pies and two salads (both gates of edens). one pal was going vegan so had a salad to herself and the vegan with vegan sausage.  had a taste of the faux meat and it was extra soy tasting.  the non-vegans had: - hellboy (mike's HOT honey) - greenpointer (my least fav, probs b/c i like meat on my pizza) - baconmarmalade picante (my fav b/c hello bacon and sweetness, but i felt was the soggiest of the pizzas) - porkpie white (was decent, but didn't wow me like the above) and i forgot the last pizza we ordered. so my friend are pizza lovers and one by one said it was their fav.  i'm still faithful to difara and locali is a close second, but that baconmarmalade is  dang good.  my only criticism is the soggy middle though folding does help a little.  there is also quite a bit of excess outer crust, which our neighbors left a plateful of.  i'm a carb lover so i killed mine, but even some of my paulie gee fans didn't finish.  for shame, no? one VERY bright spot is that paulie gee does indeed stop by to check in with each table.  he was even chatting folks up while they were waiting.  that's superb. the service overall is quick, fast and on point. also they have mexican coke.  a buck more that regular.  a splurge i took.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132821181; Sentiment_Subjectivity (from 0 to 1): 0.394244124 [/INST] Not Spam</s>