Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome burger, had the prixe fix menu, many options, happy we stopped in! Great food at a really good price, nice atmosphere, very clean, nice waitress too. Would recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.709583333; Sentiment_Subjectivity (from 0 to 1): 0.845 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ambiance is phenomenal. Food was amazing. Wait staff experience was awful. The waiter was nice when he came around but not attentive in the least. We ordered appetizers we were really looking forward to. However, our entrees came before they did. So we had to cancel the appetizers as it didn't make sense to allow our entrees to get cold. Once we got our food everything changed. I had the blackened salmon and my husband had the skirt steak. The salmon was paired really well with sweet plantains and string beans. The food pairing choices were unique but enjoyable. His steak was cooked perfectly and the collards were pretty damn good. The waiter came back and put a damper on our evening. Will ordered the sweet potato pie. He enjoyed it. However he asked the waiter for vanilla ice cream instead of the peach. Te waiter said, "don't worry. I got you". The desert came out with the peach ice cream. The drinks on the other hand were a slam dunk. Shout out to the bartender that knows how to really make the drinks enjoyable. if my review were based solely on the food it would be a 5 star. But the service has a lot to do with enjoy ability. I say go and indulge in the chefs brilliant creations just come in with your patience hat on.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.256521739; Sentiment_Subjectivity (from 0 to 1): 0.651086957 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best Ramen in NYC! I am obsessed with Ramen, and this place makes me feel like I'm back in Tokyo. Order: any Ramen, ground pork & tofu app (I think it's avail only in the winter, cucumbers.  Stay away from: the pork buns. Stick with the Ramen and get your buns from Momofuku.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.125; 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: Low key, romantic, good for groups, chill place. Loved the appetizers and wine selection. Thanks for making it an awesome birthday for me this year!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.371428571; Sentiment_Subjectivity (from 0 to 1): 0.628571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So disappointing to roll in here at 1 am with huge cravings for noodles and be let down. The congee here is good.  It's thick and flavorful and has a nice wheat taste to it not just rice.  The pork and thousand year old egg barely had either, but it was tasty and satisfying. The chow fan however was riddled with dirt.  Literally.  The scallions must not have been washed and every single bite had crunchy chunks of sand and dirt. Unfortunately never coming back here again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.122751323; Sentiment_Subjectivity (from 0 to 1): 0.539847884 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lobster Joint is located in a new commercial area with street parking available. Light up lobster sign with lead you through the gateway. Picnic style tables with a few pub tables available. Open french doors make for a nice breeze during the summer. Menu written on a chalkboard style board above their register. Noise level was normal, was able to have a conversation without yelling. Staff was helpful in answering questions on the menu and making accurate recommendations. Beers on tap and bottled as well as wine available. After you order they hand you a number and you choose your seat. Moderate prices for lobster as $17 for each dish. Excellent food for a great value. The New England Lobster roll was warm and flavorful. Fries that came with it were seasoned appropriately with what may have been old bay.  Lobster tasted fresh with an even balance between their herb mayo and lobster. The Lobster Mac'n'Cheese was hearty and filling. There were nice chunks of lobster. Top layer was nicely crusted with a creamy center. Definitely a meal to share as the cheese was overwhelming halfway through.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309404389; Sentiment_Subjectivity (from 0 to 1): 0.517842215 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had my 30th birthday celebration here last night and it was fantastic! All of my friends can't stop saying great things about the experience. Working to plan everything with the manager Giuseppe was easy and the party went smoothly. The space is great, cozy and sophisticated. We tried a lot of the food as we were deciding on the menu and went with 2 crostinis (fig/Gorgonzola/prosciutto and eggplant caponata), the chickpea fries, speck & mozzerella, and 2 pizzas (spinach artichoke and spicy chicken). Everything was delicious and there was more food than we could even eat! We had 2 speciality cocktails (the white cosmo & the sazerac) - both were great and everyone enjoyed the wines as well. I have only great things to say about our experience, the atmosphere, food & staff. Whether you are going there for a date night, a girls night, or planning a party - you won't be disappointed!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318872549; Sentiment_Subjectivity (from 0 to 1): 0.702941176 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a rainy Thursday for brunch. It  had great ambiance and the staff was attentive. The food was amazing!!! I had the croque-madam and is was great. It was a good portion and tasted so fresh!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.679166667; Sentiment_Subjectivity (from 0 to 1): 0.733333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Now to run off a list of theories as to why this place is EVEN open. If you feel offended by the reasons, too bad. I'm not going to mince my words for a horrible restaurant. 1. People who eat there have no stinking idea what good "Chinese" food is even if it smacked them in the face and burned their house down. 2. It is open late. 3. People are drunk and high, everything tastes good. 4. Cause David Cheng eats here! No offense to David Cheng, but if he eats dog poop I'm sure a lot of people will follow suit. To put into perspective how crappy this place is? If this way the very last Chinese restaurant in the WORLD and Chinese cooking was forbidden at home, I WOULD NOT eat here. That is my way of telling you how bad it is here. The roast foods here are mediocre if I was being generous with my review, this stuff should be your last resort. Don't even get me started on the cleanliness of this place, I'm sure the DoH didn't shutter them over some of the lamer regulations. Seeing this place get more than 2 stars is mind boggling, are the taste buds of everyone fried? Stay away from this place if you can, there are TONS of better alternatives and if you're hungry you can always go home to some sliced bread. I really really wish, Yelp has a hall of shame. Because this would be one of my hall of shame picks. Also, I'm in no way here to offend anyone or make myself out to be high and mighty. But if my whole 100% authentic Chinese family thinks this place sucks as well, there has to be some truth to it right?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.045695129; Sentiment_Subjectivity (from 0 to 1): 0.500656814 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thought our 10:30pm reservations on Thursday at Minetta Tavern would yield a low key quiet night especially after all the terrible snow. The place was so packed that we didn't get seated until 10:50pm. As soon as we sat down, all my friends were excitingly texting away. I thought that was weird, but I didn't know what was going on, until I turned around and saw Ben Stiller at a table, then Meg Ryan at another, AND Naomi Watts at an adjacent table. BAM!BAM! BAM! movie stars all next to our table. Bizarre! Then Ben Stiller walked by our table and said "Heeeyyy!!" as if he knew us. "uh..hi" we said back. That was pretty funny. The frog legs were pretty tasty, the Anna potato and fries were overly salted, the cabbage roll was good, and my grilled trout was perfect. The skin was thin and crispy. The meat was moist and flaky. The Grand Marnier souffle was terrible. It was way undercooked which made it runny and the alcohol taste didn't have enough time to evaporate.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.034722222; Sentiment_Subjectivity (from 0 to 1): 0.713611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm sorry I need to talk a little shit about ABC Kitchen. Food wise this place is fantastic and I really have no complaints: ingredients were fresh and the flavors were on point. In terms of service though, this place fails in my book. Two of my friends went to the back of the restaurant at the end of our meal to look at the desserts. While they were back there they ran into the head chef who told them he would send something good over to our table. Two waiters brought over one of each dessert on the menu (a total of 7 desserts) and told us it was compliments of the chef....but when the bill came, one of the same waiters said they had to charge us for 3 of them. Ummmm what?! This is gross and tacky and in very poor taste. There were only 5 of us and we were planning on ordering only one dessert. Not cool, not fair. Fail on your part, ABC kitchen. I will never come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.030119048; Sentiment_Subjectivity (from 0 to 1): 0.533571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic service! beautiful space ! I've dined at marea & now ai fiori!  Michael white....food genius!  But I still love marea a little more! Favorites....sardines yes!....crudo,yes! black squid pasta.. yes!  I had to add some hot crushed pepper to mine though,  it needed spice . I ordered the cod....Mehh.  I regret not ordering the lobster salad:( The desserts at marea were more exciting. i'll skip it next time. we had olive oil cake & citrus tart... it wasn't bad. but nothing special either..  not enough citrus .. too creamy , not enough texture with meringue . The cake was simple and good but not mind blowing , it needed something with it. if i'm eating dessert.. it needs to be a palette experience... neither were. next time i'll do all starters  & squidink / seafood pasta!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.154871554; Sentiment_Subjectivity (from 0 to 1): 0.546240602 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thai food. The problem is it's really hard to find a great restaurant with great thai food. Pinto has awesome thai food! For appetizers, I usually get Satay and Mushroom Crunch. The Satay comes with approx 5 skewers, and the Mushroom Crunch comes with plenty of mushrooms. Both are tasty dishes. For the main course, I get chicken basil, mild with rice on the side. This is hands down my favorite thai dish. There's plenty of chicken and veggies in the dish and it's so so tasty. The flavor is amazing! The only downside is pinto isn't that big of a restaurant, so the seats are literally on top of each other, and it gets crowded pretty fast, so sometimes it takes a while to get seated. But if you want decently priced thai food in the city, this is the place to go to!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.199305556; Sentiment_Subjectivity (from 0 to 1): 0.652777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food and service. The cocktails are brilliant, the pot stickers were just how I like them and pretty much anything with pork belly is fantastic.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.82 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dined here last night as a party of four. We booked in person one month in advance and took a 9:30 reservation. We each ordered an appetizer,then each couple ordered a pasta to split (two pasta dishes in total),followed by four main dinners. In total 4 appetizer's, 2 primi's and 4 secondi's. The appetizer's came out and were good. Next came the two orders of pasta which each couple was to split themselves. in the time it took for the waiter to place the pasta down out came our 4 dinners.The waiter tried to place them down on the table but we quickly refused the dishes.He was stunned and we asked for our waiter to come over.He came over and stated that there was a miscommunication and asked if we wanted the main course. Our reply was to return them to the kitchen and make them after we finished our pasta course. The pasta was room temperature. The dinners were not made fresh but held in the kitchen until we were ready for them. there wasn't even enough room at the table to place everything down. We ordered cocktails and two bottles of wine totaling a bar tab over $250.00. It came to $360.00 per couple. As we prepared to leave I asked for the manager and told him the events of our dinner. He said he was right there when the dinners were delivered and it was a miscommunication. They would have freshly remade the dinners but we accepted them. We asked for the dinners to be taken away and made fresh when we were ready for them.He also stated that they serve family style and this is common place for Locanda Verde. We did not see it printed on the menu that service was family style.He was no help at all. With a dissatisfied customer a manager's task is to make it right not give excuses and blame the customer. He said he knew it occurred. He should have stepped in immediately and not have waited to the end of the meal and done nothing. I have given gift cards here for family members and will no longer waste my money on this restaurant that does not value their customers. We will never spend another dollar at Locanda Verde.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.113571429; Sentiment_Subjectivity (from 0 to 1): 0.401071429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i've had a tumultuous relationship with this place. when i first started going here in 2008/2009 the prices were a bit cheaper, the dining room was less crowded but the food was so so. went back in the summer of 2010 after a year or so hiatus to have an amazing meal with an impeccable waittress (didn't get her name but i remember she had a very french accent). cheese palte, oysters, pasta, steak, and the PROFITEROLES! yum! their pasta special is usually a good bet (they make it fresh). i love their cheese plates- comes with apples, nuts and grapes. but my favorite thing there is the profiteroles doused in the warm chocolate sauce... my mouth is watering just thinking about them. the service is definitely hit or miss. for a few months my bf and i would go there ~2 nights a week for dinner. sometimes it was great sometimes it was awful. they seeme dto be going through a lot of waitstaff changes at the time so maybe that was the problem? also a good spot for brunch but in recent times every time we've tried to do brunch there the wait has been so long we left. the back area with the fireplace is super cute and great for groups! all in all, a solid solid choice in that area of williamsburg!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.248992674; Sentiment_Subjectivity (from 0 to 1): 0.466849817 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ordered dinner from here the other night and they said it would take 20 minutes.  I got there in 20 minutes and it took another 20 minutes for my food to come out.  If it's going to take 40-45min, just tell me that, instead of saying your normal "20 minutes." I live about 5 blocks away, and when I got home and opened up the container, there was chicken in my pad se-ew, instead of tofu.  I called and they said they would send another one right away (standard procedure).  It took another 30 minutes for my tofu pad se-ew to arrive. When I finally got a chance to eat my food, an hour and 15 minutes later, it was bland, had no taste, and it was a very small portion.  I drenched it in sriracha to get some flavor.  I don't eat a lot, but this was nowhere close to filling me up.  Thai places in the area usually give you plenty of food, enough for some leftovers later in the night or the next morning. Don't think I'll be going to this place with so many other Thai restaurants in the area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.032474297; Sentiment_Subjectivity (from 0 to 1): 0.436815476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty pricey, but interesting and beautifully crafted dishes... My two friends and I had made a reservation around 6pm Tuesday and it was basically empty-- most likely due to the shitty weather. However I thought it was much nicer that way, small and quiet. The foie gras and the squid/risotto??? dish was really delicious-- there was even one dish where beef was wrapped around cabbage, which reminded me of the korean bossam. The dessert-- the Torija (caramelized bread pudding) was to die for. Service was impeccable and it was pretty fun to watch the chef set up individual dishes. From the waitress, we were told he's in from Friday to Tuesday, except Sunday. Will be returning to try the $50 tasting menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.610555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Always love it when the owner comes by to check on how your meal is going. Love it even move when he tells you that he's putting a Paulie Gee's in Baltimore! Can't wait to be regulars there! Crust is perfect, toppings are creative and all perfectly combined and the chickpea salad is a light and refreshing start to what will undoubtedly be a wonderful meal. Worth the wait and very meat/vegan/vegetarian friendly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.596022727; Sentiment_Subjectivity (from 0 to 1): 0.709090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brunch: Fantastic egg scrambles, absolutely no space (I mean the waiter has to pull the table out so you can sit), perpetual line outside .. still totally worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0575; Sentiment_Subjectivity (from 0 to 1): 0.5275 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 by far the best burger joint ever. I have tried multiple burger places. I had such high expectations for this place and i was skeptical about it since i heard such high expectations. However the moment i took my first bite. I was in heaven. I had never tasted such a good looking burger that will melt in my mouth. Every bite was just better than previous and left me craving some more. The line is definitely on the long side but it is worthhhh every second! Every person in the world has to try this! My mouth waters as i think about the burgers and if there was one food i had t ochoose to eat for the rest of my life. This would be it. without a doubt; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.147407407; Sentiment_Subjectivity (from 0 to 1): 0.41 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing bar food. The burger is one of my favorites in the city. Great beer selection and good prices. If you are a fan of heavy music, you are in for a treat! The decor rocks too. Places like this are one of the only reasons I go into bushwick.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.37; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Simply the best paninis you will ever have in your life. I suspect they coat the bread with extra layers of butter (I mean, how else it it that delicious? It's just meat, cheese and a panini press, guys). Secret coatings or not, these are really the best. Good soup in the fall and winter. Wouldn't recommend the basil panna cotta: smells like pesto, tastes like pesto, with the look and texture of panna cotta. It's just wrong. Everything else: delicious.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.335227273; Sentiment_Subjectivity (from 0 to 1): 0.558603896 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had Sunday brunch here this past weekend with a friend at NYU.  She found this place on Yelp and I'm so glad she did because the bottomless sangrias were great and I'm pretty sure they make the best omelette I've ever had in my life.  The mushroom omelette... it was amazing!  And they played great music; I think it was the entire Two Door Cinema Club album.  Loved the atmosphere, wish they had it in California...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.505; Sentiment_Subjectivity (from 0 to 1): 0.726388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You can get anything here. Literally. A bit over whelming but  everything looks amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Only brunch time I could book on Saturday was 2:45pm. Sleep in on a Saturday and slowly meander my way to brunch by 2:45? Sounds perfect. When we arrived, it was very busy. Looked like a birthday party in the corner, intimate 2-people conversations, huge girlfriend-gabbing sessions, etc. We were seated fairly quickly and right by the kitchen. I ordered chicken liver mousse and a pastry, alongside a BLT Mary. The bf got the Huevos Rancheros that other reviewers seem to love. The liver was ah-may-zing. Loved it! came with toasted brioche that I had to get a refill of to maximize my liver. The BLT Mary was too strong for my taste, and too spicy. It was too EVERYTHING. I mean, it got the job done...I was tipsy by 4pm on a Saturday...but it was a mission to finish it. The bf's Huevos Rancheros was just meh. Not sure where the hype is coming from, but it seems a little unjustified. I think I enjoyed it as an experience, but perhaps our picks from the menu were not the best.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.215687831; Sentiment_Subjectivity (from 0 to 1): 0.658913139 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really, really great food.  It tastes traditional!  I went here with my family and enjoyed splitting the Plato Don, Entree of Guac, taquitos and the roast half chicken (very small) .  We loved it here and while the on tap margaritas are pricey, they are absolutely worth it!  Only downside --It was super loud and my family had a hard time hearing each other.  We found the perfect solution to that issue--DELIVERY.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.164285714; Sentiment_Subjectivity (from 0 to 1): 0.651428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is probably as close as you can get to a serious SouthWest BBQ in NYC proper.  For the most part, BBQ joints in NYC aren't up to snuff (although I am a Fette Sau fan in Williamsburg), but the MQ Brisket is pretty smart fare.  If you are in need for a quick fix of ribs, saunter in and get slathered up!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.174603175; Sentiment_Subjectivity (from 0 to 1): 0.568253968 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would actually give this place 4.5 stars just for the Red White Blue deal!  I was soo happy to come here and snag the last 2 top at 7 pm Friday.  It's a small restaurant with a bar, TV, and not too loud.   We were also really happy to find the RWB deal goes not just till the end of happy hour so we got to enjoy 6 Bluepoint oysters and a Pabst $8.  They were delicious--slightly salty, cool with a touch of lemon, some spicy sauce, and something that looked like creamy mustard. My bf tried the Pot of Bass (sea bass, tomato, onion, potato, white wine $26) served with buttered french bread.  The broth was very clean tasting and the fish was cooked just right.  I don't know if I would get this again but it was different in a good way. I opted for Eric's summer salad (grilled tuna, tomatoes, mixed greens, bell peppers dressed in balsamic $13).  SUCH a good deal--they give you tons of tuna but I woudl ask for the dressing either light or on the side next time.  I also tried te fish market soup which was tasty with chunks of fish and shrimp.   All in all a lovely dinner and the RWB is the perfect deal if you want to sample the raw bar.  Oh and service was spot on--our waitress gave us recommendations, came back to check on us often and was super sweet.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.241092033; Sentiment_Subjectivity (from 0 to 1): 0.479393315 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Pizza. I don't care what everyone says about price. You know the prices when you look at the menu. What I care about are the portions - you don't know the portions prior to ordering. If I pay $8 bucks for a pizza I want to feel like I have eaten a meal not a snack. I love this spot, I just think a bit more food for the money is needed. The specials are very good  when they have them. The brick oven pork chop is always far far too pink on the inside and I never eat it so its large size is moot.  I look forward to Roberta's evolution as it always seems like the owners are dreaming up some new crazy scheme i.e. army tent beer garden??!@#$?!@$?  O-Yeah regarding the reviews that are sad about the lack of BYOB status, having been part of a few restaurant ventures that never got their liquor license I can say this: BYOB is a death sentence for any restaurant:  firstly it is illegal and comes with the treat of hefty fines and possible shut down, secondly the liquor helps bring in much needed profit. So if you like a restaurant you would hope they get their liquor license. Regarding cork fee: I think this is illegal as well. What a patron must demand is a wide range of prices in both beer and wine: economy for those on a budget and class for those willing to spend. Also proper storage of wine is necessary, I have noticed that many bottles are stored in the back near the hot hot temperatures of the kitchen. In my first restaurant this resulted in wines becoming cooked or corked and a lot of bottles being sent back. I have had to do this on 2 occasions at Roberta's. If you like the Pizza here try the pizza at Phorum  it was really good and the serving size a bit larger; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.094472539; Sentiment_Subjectivity (from 0 to 1): 0.523798155 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Weirdness: NYC Grade is "pending", no credit cards accepted, no HATS allowed!, waiter's card game usually in progress at a central table. Foodwise, however, it is hands down THE BEST ITALIAN RESTAURANT IN NYC. The homemade Italian red wine, probably unlicensed, is simply incredible!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132716049; Sentiment_Subjectivity (from 0 to 1): 0.265432099 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Simply best pizza, had so many slices, and I am not even that big a fan of pizza.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; 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: If you go for good food you will not be left disappointed. If you go for service this may not be your place. Oxtail and stew chicken were delicious. Good portion. The oxtail were some of the biggest pieces I've ever seen. Again, it's about the food here. Reminded me of my last trip to Jamaica. I'll be back, but probably just for takeout.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.13125; Sentiment_Subjectivity (from 0 to 1): 0.495833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 soup dumplings and affordable food. This place is always packed and it's better to go for 3 ppl and under. You have to share tables with strangers and it's loud in there. My husband and I just go in, get the crab dumplings, jellyfish and shrimp fried rice and leave right after we finish eating. They serve the food rather quickly. Not a fan of their fried noodles.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.343809524; Sentiment_Subjectivity (from 0 to 1): 0.667142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crafted food from start to finished.  Excellent service.  My glass of water mever made it half full.  They filled mu glass more than five times the entire time.  We ordered duck liver mousse, snail, mussels, hanger steak and creme brulee ... all are perfect.  I have nothing bad to day.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.297916667; Sentiment_Subjectivity (from 0 to 1): 0.676041667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: only ramen i go back to again and again. i sware this place could open up a second location literally next door and itd still be totally full, everyone loves it for a reason. p.s. start with the pork buns; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.058333333; Sentiment_Subjectivity (from 0 to 1): 0.341666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Supper was a great way to cap off a busy weekend. Sitting next to the kitchen watching them work silently and quickly was entertaining and enjoyable. Fresh bread,  with a good condiment to start followed by a creamy buffalo mozzarella and tomato salad and veal parm for my entree. Crispy veal, covered in cheese and sauce with a side of pasta and their wonderful marinara sauce. Overall a tasty meal. Feels like something you would eat at home. Nothing too fancy but all made from scratch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.384848485; Sentiment_Subjectivity (from 0 to 1): 0.459090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely the very, very best pork and beef tacos to be had!  I just wish they'd stay in one place.  I've followed them from 47/Third to 47/Park.  Today they're at 49/Third.   They seem to have no website/twitter page but it's definitely worth walking around to find them! I'm so stuck on the "white sauce" I haven't had a chance to try the spicy mayo - maybe today.  The guys are super sweet and the service is really fast.  They'll customize your order any way you like it and it's so nice to get really superior food without having to deal with obnoxious counter "boys" blasting techno music!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.437037037; Sentiment_Subjectivity (from 0 to 1): 0.578518519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's no place like home, there's no place like home, there's no place like home... Like Dorothy says, if it's not in you're own backyard you didn't lose it in the first place We're fortunate to have Balthazar in our own New York backyard It's home away from home and that's how they make you feel from the guys at the door to the bartenders to the waiter persons and managers They're all pros And speaking of bartenders A bientot to Olivier, everyone's fave bartender Good luck in your new endeavors; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.403246753; Sentiment_Subjectivity (from 0 to 1): 0.648917749 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 didn't eat here, but sat at the bar drinking beer while my cousins eat. The 1st cousin had the beef stew which he raved about and the other cousin had the special bison/buffalo burger which he didn't like cause he's a dumb-ass & didn't realize that buffalo doesn't taste like beef .... Wowever, the hoegaardens (beer) were very quaff-able the service was decent, the food smelled and looked great and seemed inexpensive for the quality/quanity. I must head back here next time I'm in this part of town to get something to eat.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.199829932; Sentiment_Subjectivity (from 0 to 1): 0.380442177 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretty happy when they obliged and gave me a dish of only burrata, sans meat and other junk. They also made my non-drinking partner happy with creative suggestions for mocktails.   The pastas were fine, although I would've appreciated more non-meat options.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.371296296; Sentiment_Subjectivity (from 0 to 1): 0.719444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious and extremely affordable. I come here every time I'm in Manhattan. The dumplings are awesome!!! I've tried many other dishes and they've all been good but I prefer to just have lots of dumplings!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.541666667; Sentiment_Subjectivity (from 0 to 1): 0.745833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 favourite food as a child, fries. My favourite food as a teenager, fries. My favourite food as an undergrad, fries. My favourite food now...still fries. It's no surprise then that I love Pomme Frites. But take pause, my addiction to fries doesn't mean I love any and all fries, it just means I'll eat them.  But then again I'll eat anything.  The ultimate fries are those that I want seconds or thirds of. This little stand in the heart of New York makes me want fourths and fifths. They serve "authentic Belgian fries" twice fried (as all fries should be). The bonus is that they have more than two dozen dippin' sauces, fo example, Vietnamese Pineapple Mayo, Horseradish Mayo, Cheddar Cheese, Curry Ketchup, and so on and so on. My bucket list includes trying every one before I leave planet Earth. It's get down, get down good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.184113866; Sentiment_Subjectivity (from 0 to 1): 0.56998393 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here earlier this month. The menu at Boqueria is the most authentic I have seen in the United States. However, the flavors were off compared to tapas and dishes I've had in Spain. The croquetas had a odd texture and flavor. I can't put my finger on what made them taste so different. The patas bravas seamed like they had a dry seasoning on them which I have never seen in Spain. Perhaps, Boqueria is much more refined then what you'd expect to find in a tapas bar in Spain. I really enjoyed that they served Estrella. I'd come back here again with a large group to enjoy jamon y queso and Spanish wine or beer.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.198412698; Sentiment_Subjectivity (from 0 to 1): 0.444047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 53rd & 6th Halal Cart is an institution in NYC for street meat. These guys are famous, they go by the name Halal Guys with the yellow uniform shirts. If you're in the area, it's hard to miss this, you will generally find a very long line down 53rd street. There are 4-5 guys manning the cart at any given time and the line moves. They got all the $6 platters ready to be filled with your choice of meat: chicken, gyro (lamb) or the mix. Chicken is my go-to, a little healthier than the gyro. The gyro is tasty, but it will sit with you for a long time. After you eat it, you know it's going to be in your system for a while. The platters come with yellow rice, lettuce, the choice of meat and the pita bread. Have only eaten here after work, so I can't rate the experience from a sudsy perspective as other Yelpers have done so. When you get your food, don't forget the sauces at the right side of the cart if you will be dining on the benches nearby. You can get the white sauce, BBQ sauce, and the hot sauce (top shelf). That hot sauce is pretty hot, so pace yourself when you douse it on your food. It's hot, but not as hot as Mamoun's falafel sauce. They have this thing down to a science, with the main cart serving up the food. There's another cart after you get your food where you get the drinks like soda or water and they have a big LED sign that's scrolling "Cold Drinks". Smart move. They even have a 3rd cart where all the ingredients are housed. You may find that an ingredient runner is moving between the main cart and an unmarked one down 53rd toward the west side. Try this place at least once in your life. You will either love it or hate it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.011357143; Sentiment_Subjectivity (from 0 to 1): 0.559959184 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is small and quaint but don't let that shy you away.  I think it's a great place for a first date (one where you don't want to blow your wallet outta the sky).  They even got better now that their wine/beer license is active.  The panini's come in all different varieties.  Their appetizers are what kickstarts me.  Great lima bean salad if you're into that.  Also a nice place to stop just for an ice coffee!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.246296296; Sentiment_Subjectivity (from 0 to 1): 0.603703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: most of the time I order the shawarma sandwich and it's good for the price. This is a quick and cheap place to grab lunch. I had their falafel but was not a fan. It was too dry and burnt for me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.373333333; Sentiment_Subjectivity (from 0 to 1): 0.58 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: All I can say is, go and enjoy the wonderful attentiveness of the owners and brothers, Thibault and Alex.  The food is good and they go out of their way to please.  Reading some of the reviews (which are good and well deserved), there are some that aren't worth paying attention to (sorry earlier reviewers).  You will be pleased, we were, and have been back several times.  The food keeps getting better and the wines are great.  Keep up the good work guys!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.405769231; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A small little authentic Italian restaurant hidden in the West Village, this is a great spot for date night. The atmosphere is very romantic and the food is excellent. They also have outdoor seating which is always a plus. Definitely go for the Spinach Gnocchi. It was unbelievable. The Caprese Salad was also good and the house red was a nice choice for wine. The tiramisu was also on point! The only downfall was the service. They were quick to hurry us out as soon as they saw that our plates were cleared.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.215277778; Sentiment_Subjectivity (from 0 to 1): 0.598888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 four star average is too high for this place.   Like many of the reviewers say here, the pasta is al dente, the choices are many,  but the seafood and some ingredients are definitely on the cheaper side.  I went for lunch - I enjoyed my salad, the soup looked homemade, and the decor was nice.  It seemed like way too many pasta dishes used peas.  I ordered the pasta with calamari and sun dried tomatoes - loved the al dente, but didn't love the peas or calamari, and overall, the dish was too salty.  If you've been to places like Bar Pitti and Basta Pasta, I don't think you'd ever come back here....I won't be.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277692308; Sentiment_Subjectivity (from 0 to 1): 0.510769231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This restaurant is the quintessence of hipster cum* Williamsburg, Brooklyn. A restaurant that boasts an investment interest on behalf of the late Heath Ledger, the space was a glorified dump. As in, welfare chic. As in, the inside was a sanitary Hooverville shack, and the tables were replete with Mason jars as water glasses. The seating was so tiny (and I'm relatively slim), so you can imagine the limited range within the intended clientele: starving artists, and yuppies who starve themselves. I had the salad with butternut squash, which was pretty good, hence the three stars. My friend had the lobster bisque soup and half-pulled pork sandwich and seemed to enjoy it. *cum, as in the Latin variant of the preposition "with," not as in male/female ejaculatory discharge. Enjoy your food!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.184821429; Sentiment_Subjectivity (from 0 to 1): 0.480357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Recommend Kung fu steamed pork buns, Szechuan chilli fried chicken, pig feet pot with special sauce, sauted sour beans with minced pork in a rice vermicelli soup. Will try chocolate steamed buns next time!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.098214286; Sentiment_Subjectivity (from 0 to 1): 0.405357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had just come back from Spain about 2 weeks ago and had excellent tapas in both Madrid and Barcelona. Thankfully, you don't have to be in Spain for good food, you can get authentic Spanish food in Las Ramblas. The restaurant is small but so don't bring too big of a group and be prepared to possibly wait. We started off the meal with a pitcher of pear sangria (there are a few other flavors as well). The pear sangria was excellent and there is actually real pear in it. The service was great and they kept coming to top up our glasses. The tapas were amazing. We somehow accidentally ordered too many potato dishes... the patatas bravas was excellent- very filling. The tortilla espnanola was good was well, nice and soft. The lamb chop was amazing- very soft. I don't like normal chorizo so we ordered the duck chorizo on a skewer with quail eggs and onions- it was good as well. The croquettes con jamon were delicious- soft and creamy. Service is excellent. Don't forget to look at the special menu on the wall!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.412118227; Sentiment_Subjectivity (from 0 to 1): 0.587980296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hits the spot on a rainy day. My friend got a reservation for four, and we were seated promptly as our reservation was only for 2.5 hours. We shared the Hakata Tonton hot pot, and at $13 per person it was so much food. The broth was fantastic, and we opted for ramen noodles at the end. We also had the creme brûlée with black sesame ice cream for dessert, which was perfect to top off a hot pot meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304166667; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: across the street from the brooklyn museum, this place looks like a run down shack.  we came around 530 pm on sunday and was greeted by a lady sitting on the stool instructing the 2 lady cooks behind the counter.  Everyone is very nice, there is 2 tables outside and additional seating upstairs.  Its really cramped quarters and while i waited a good half hour after i ordered my food, i saw a ton of people from all walks of life come through and order takeout and sit in.   I ordered a small plate of oxtail, which is very large still.  Came with three gigantic pieces in a delicious subtle sauce, not spicy.  Came with rice and peas and veggies which looked like boiled cabbage, corn and some other indistinguishable greens.  the salad was just some leaves with a slice of tomato with olive oil drizzled on top. I also order the mac and cheese.  It was baked with breadcrumbs on top.  I prefer my mac and cheese bursting with flavor and super cheesy, this was on the milder side, might work for some people.  i also had some of my dates stew chicken.  the skin had a crispness to it that made me think the chicken may have been fried first. overall it was decent food the place is ran so poorly and disorganized.  i wont be going back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.051218081; Sentiment_Subjectivity (from 0 to 1): 0.521928916 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really excited when this place opened but I was disappointed with the rolls we ordered. Everything tasted over salted and I love salt. I don't think I will go back here again. There are better sushi restaurants that are cheaper, offer a greater variety and  deliver.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1875; 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: I think this place is popular because of the herd mentality - "oh, there is a line, it must be good."  Of course, I'm totally guilty of this too.  If Dan and I are up before 10 am and want brunch, this is the first place that we suggest.  In reality, the food is just okay, they only take cash and if you aren't there by 10:05 the wait is out-of-control.  I know its cute inside, but are we really that starved for cute places in Murray Hill?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.305555556; Sentiment_Subjectivity (from 0 to 1): 0.725925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really nice little spot off of St. Mark's Place . . such in fact that one might just walk right past it if it weren't for the little sign on the sidewalk advertising $2 sliders. Wait!! . . and get this they are open late. I'm usually a fan of mini-burgers and this place had some of the most amazing sliders I have ever had. The menu is very straight-foward . . sliders, fries, a few shakes and a fairly decent beer selection. I saw they had some advertisement for wine by the glass but I wasn't going anywhere near that. Opted for the Magic Hat # 9 and 2 sliders with a side of fries instead, which were just perfect. Could have did without the fries but that's neither here nor there. How can anyone even compare these to white castle? Will definetly be back. ** Hint - They even have their own in-house sauces to spice things up . . go for the chipoltle ketchup.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15359561; Sentiment_Subjectivity (from 0 to 1): 0.525119048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been to Verlaine about 3 times now but I've never yelped about it. They have great happy hour specials from 5-10pm. Wednesday night was not to crowded, we were able to get a table with out a problem. I've been here on a friday when the place gets slammed at 5pm. They have good service and great happy hour special in a great space. The only thing is that I find their Asian Tapas to be a bit expensive, if the plates were more in the $5 range they would definitely get 5 stars from me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.427472527; Sentiment_Subjectivity (from 0 to 1): 0.672802198 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bar staff and bar area here are really fun and friendly with a great atmosphere. The skirt steak was absolutely delicious.  The reason I cannot give it five stars is because why am I being served on an old cracked plastic plate?! They need to their presentation a little bit because the food is quite tasty.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.402083333; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Two stars because the setting and decor was beautiful and understated with a view over the river.  That being said the food was "ok" and the service middling.  For a $100 a person I expect much more.  Dessert was terrbile, the Chocolate Pot De Creme tasted like Jell-O brand pudding, only Jell-O is better.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.47; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bo Ky is merely ok and the quest for good Vietnamese food in NYC continues. The prices are super fair ($4-7 for an entree) but the food was forgettable. The cha gio (eggroll) was too greasy and tasted frozen. The hu tieu nam vang was alright, but was missing the signature squid that makes the dish authentic. The com bo kho was a generous portion, but the sauce wasn't as heavily spiced as it could be (eg with star anise, cinnamon etc). My gripes are somewhat neutralized by the fact that  the dishes were about $5 and I can certainly appreciate being full off of a single abe lincoln.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.211471861; Sentiment_Subjectivity (from 0 to 1): 0.527489177 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: per us weekly, whitney port was enjoying brunch outside with her significant other (he's not important enough to make the review). alright, i'm cheating on the list a little, but a celebrity spotting is a celebrity spotting regardless of who does it, correct? don't judge me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.051785714; Sentiment_Subjectivity (from 0 to 1): 0.557142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here yesterday for lunch with my girlfriends and it was nice. It is on the smaller side but the wait wasn't too bad. We ordered the fried spring rolls (4 pieces) and the chicken summer rolls (2) for appetizer and I loved them. The fried summer rolls are on the small side but they are packed with flavor! The summer rolls were different from the usual summer rolls that I eat (I am Vietnamese) but it was very good too! Majority of us ordered the Classic Beef Pho and it was perfect. The broth was delicious and they gave a good amount of noodles and beef. Most places don't give that much noodles! I eat a lot of pho too and usually one bowl is not enough but they gave a wonderful portion and I was full and happy. The service was okay, the seated people on the long table we were seated at but I am used to Asian restaurants doing that especially in a place of smaller size. They did forget to give my friend her ginger ale but they were busy! Between the 5 of us we paid around $13-14 with tax and tip so it's not too shabby!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.252323718; Sentiment_Subjectivity (from 0 to 1): 0.592820513 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Honestly, i would give this place 5 stars. Technically, more like 4.5 stars. However, I don't want to give this place the perfect 5 when the place is sooo small and cramped up. It also gets very loud, so it's hard to speak to your friends at the table. Since the place is small, i advise going at groups of 2 or 4. Reservations are like almost impossible to come by.  Another reason why this place only gets 4 out of 5. I wish this place expanded a bit, but i understand why they don't It may damage the quality of the food since they'll have to expedite more orders. The bar area..is a shiet show . It's crowded. You have to lean over people to grab your drinks. However ,the bartenders know how to make their drinks. Huge fan of their Copperhead drink; it reminds me of a Manhattan. For apps, you HAVE to get the Roasted Bone Marrow. It is cooked to perfection. You don't even need to spread it on the toast. Just scoop it with your mini spoon and stuff it in your mouth. Mmmmmm The Huîtres et Crépinettes is also a good app. It's truffled pork sausage with salt pond oysters on the half shell, and it was amazing. Salty, savory, yummy. Black Label Burger....selection of prime dry-aged beef cuts with caramelized onions and pommes frites. Ummm WOW, the beef was so tender and beefy. The meat flavor was phenomenal and the juices were over flowing. The burger was thick yet not tough; it was like biting into a pillow of beef. Damnn it was yummy. So a 6/5 on the food but the fact the place is small and crowded really is a turnoff. Yet  you'll probably still see me come here time and time again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.149217172; Sentiment_Subjectivity (from 0 to 1): 0.661363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The corn was overhyped, and they look better in pictures than in reality.  I was expecting more of everything.  The taste is fine, but not mind blowing.  The cheese was kind of annoying and didnt really add anything.  the spices were good however, just needed more of that.  Probably wouldve been better if it was dipped in butter and covered in the spices.  Otherwise I dont know if I would go as crazy for it as most others would even though I am a grilled corn fan.  If you just want the corn i would go to the side of the main restaurant where they have a quick and easy area for people who order small things.  There is minimal seating however, so you have to catch it at a good time if you expect a seat.   Their cuban sandwiches looked good, maybe next time i'll try that instead of the corn.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.263157895; Sentiment_Subjectivity (from 0 to 1): 0.545614035 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ABSOLUTELY LOVE THIS RESTAURANT! I am always on the hunt for a good foie gras, and my mission is now near complete. excellent food. the foie gras burger oozes little drops of heaven into your mouth. foie gras and eggs were delicious as well. I have ONE complaint, its not open for dinner most of the week, so i have to work my schedule around their hours. PLEASE OPEN MORE DAYS CHEF! preferably a Monday and Saturday night! i can't even send my friends because their hours are the same as mine!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.294196429; Sentiment_Subjectivity (from 0 to 1): 0.501785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 enjoyed my meal and experience at Perilla, but I think my expectations were too high. I am a huge fan of the Bravo Show Top Chef and expected to walk in and be wowed from the moment I stepped in the door. Overall I was very happy, but not completely thrilled. The person who greeted my party of 5 was very kind and took our coats promptly. Our waitress, however, was lacking a bit. She just didn't have the professional air that I really wanted. She didn't know much about the wine, couldn't adequately explain items on the menu, and just wasn't as helpful as I would have liked. The appetizers were delicious! A little salty, but I like mine that way. We got the Crispy Calamari & Watercress Salad and the Peekytoe Crab & Sea Urchin Salad. I was concerned about the urchins, especially cold, but that dish really blew me away. I had the tasting of Colorado Lamb and was pleased. I probably wouldn't order it again, but I did enjoy it. For dessert we got the souffle, which was quite good, but it seemed like the waitress was slightly annoyed and didn't want to wait for it to come out or for us to eat it. Overall definitely a good restaurant and I would recommend trying it, but I'll go visit others before I come back here. Entrees are in the $20s, but by the time you order a drink, appetizer, or side dish expect to spend closer to $40/person.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.251433333; Sentiment_Subjectivity (from 0 to 1): 0.542933333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's NYC and you have to have a pie.  Of all of the choices there, I went with Lombardi's and was happy I did.  I went with the meatball and wild mushroom and in no time it was right on my table.  The flavor was all there, the crust light and crisp, and servers were more than helpful.   Not much else to write.  There is a reason Lombardi's is an institution.  Well deserved.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.319387755; Sentiment_Subjectivity (from 0 to 1): 0.536054422 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 haven't been here enough to really get to know the place but the food is really wonderful. I no longer eat meat but when I did it was great to find place that used organic meat. The vegetarian is very good and the Juice bar is amazing. What really tops it off for me is (who I believe to be) the owner. She is incredibly friendly, engaging, and hands on. She knows what you need before you need it! It's a really fun and quirky place. I love the alien motif!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.390192308; Sentiment_Subjectivity (from 0 to 1): 0.621538462 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful dinner for 4 this past weekend. Service was top-notch; food was excellent; variety in the wine list. A really great, intimate spot. Would love to come back when it's not winter and dine on the patio.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.53125; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Attended a wine tasting dinner here two weeks ago at $100/head and just as we were finishing our entree there was a foul smell coming from the kitchen, like dirty mop water. Shortly after we first noticed the smell, I watched the kitchen staff walk up the stairs to go home. Since we were sitting right next to the kitchen and the smell was so off putting we asked to be moved upstairs. When I asked why they would start cleaning the kitchen while people were still eating, the rude hostess said she didn't smell anything and that they weren't cleaning the kitchen. B.S.!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.073214286; Sentiment_Subjectivity (from 0 to 1): 0.428174603 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 enjoyed the food & atmosphere. Came on Saturday night, and had such a good time. The atmosphere alone gives you that good fun vibe.The food and drinks were on point. Can't wait to go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place. I ate rabbit for the first time and really liked it. The new menu is great, especially loved the tuna crudo, so good. And the gorgeous yoghurt and zaatar with preserved lemons that comes with the rabbit could be the best thing I've ever eaten!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.631818182; Sentiment_Subjectivity (from 0 to 1): 0.637542088 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really great and really fresh pizza. Though, we had to wait almost an hour to be seated and almost another hour for a full pie - it was a Saturday night, so we should've expected that. I'll try some of the other pizzas another time, but do take out instead.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.245; Sentiment_Subjectivity (from 0 to 1): 0.515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 5 stars just for the pork buns. others items on the menu are hit or miss. don't forget to stop next door for dessert and coffee.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First let me say I'm a pretty tough grader and maybe this place deserves the 5 stars some have given it--but in my book the perfect restaurant is very rare. This place is very, very good but not perfect. Let's start with the food.  I had an appetizer of pickled vegetables which is actually very thinly sliced (almost shaved) vegies on a bed of well-rinsed kraut and sauced (or probably marinated) in a sweetish, vinegary dressing, not unlike Thai cucumber salad which is something I love.  I found it quite tasty and a nice, light way to start a meal.  Then I had what I came for--the Wiener Schnitzel.  They will do either veal or pork.  I had veal.  It was nice and competently done; nothing to complain about but nothing really special either. What was special were the two sides that come with it:  a German style potato salad (but lighter than most) and what seemed like a cucumber salad sort of thing in what I think was a sour cream-based sauce/dressing.  Both were yummy and appropriate with schnitzel.  I also had a nice desert of a Bavarian custard topped with orange (tangerine?) slices and house coffee that seemed closer to espresso which was fine with me. Now lets talk about service.  I left wondering if they had mistaken me for the Times food critic.  They were that attentive.  I ordered wine by the glass and after I did so, the host asked if I would try another suggestion.  He gave me samples of both what I had ordered and his suggestion to try--his was better and went very well with the meal.  Same deal with desert--I was offered a taste of a suggested Austrian desert wine with my coffee and custard and it was very good so I let them sell me a full glass.  Heck, you only live once. The decor is unique (barn-like rustic)--and be sure to visit the restroom if only to see the "sink" which was apparently made from a very large old pot. When I was there around 6:30 PM on a Thursday, the place was almost empty but by the time I left 3 or 4 more tables were occupied.  In addition, there were a number of people eating, drinking and chatting who seemed like friends of the management.  But at no point would a new arrival have had trouble being seated.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261179566; Sentiment_Subjectivity (from 0 to 1): 0.608823602 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food but, when the bartender greets you by declaring he'd rather be home, it's kinda hard to go up from there.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204166667; Sentiment_Subjectivity (from 0 to 1): 0.570833333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: great staff and friendly neighborhood feel. definitely go if you live in the area. the food was excellent, if you like thin pizza this is the place, plus i asked for well done  and it was amazing crunchy pizza just the way i like it. the apps were good too. by the time the pasta came i was full, i can't say it was the best pasta I've had but you can't always have a perfect meal. its a place i want to always go back to since i live a few blocks away. you can go order a bottle of wine w some friends and walk out full and nicely buzzed for a fair price.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.420454545; Sentiment_Subjectivity (from 0 to 1): 0.617647059 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last time I was here my friend ordered the entire left side of the menu. Needless to say, we got an assortment of food to taste. The mac and cheese was good. I didnt like my wrap as much. I like that its open late!; Max_Daily_Reviews: 25; Sentiment_Polarity (from -1 to 1): 0.003125; Sentiment_Subjectivity (from 0 to 1): 0.448958333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dinner here was the highlight of our April 2012 trip to New York.  A perfect combination of fine, inventive , dare I say "thoughtful" food and presentation, melded with friendly and attentive staff, and a low key, low fuss informal but classy atmosphere.  This will be a permanent stop on our future trips to NYC.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.277335859; Sentiment_Subjectivity (from 0 to 1): 0.623295455 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Rustic, romantic atmosphere, generous portions, homemade pasta - you will find it all here.  While it was a little loud, I did not have to yell to hold a conversation.  I enjoyed the Emilia-Romana style foccaccia, crispy and warm with a layer of creamy truffle cheese in the middle, as well as my very large plate of papardelle with veal ragout.  The chocolate salami dessert was rich and decadent and while I really liked it, the cookie pieces were a little soggy.  The next time I come, I'll ask to sit in the back garden area.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.173214286; Sentiment_Subjectivity (from 0 to 1): 0.475595238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place,food delicious but portions HUGE. Meals are based on family sharing and we ordered too much.lasagne like huge cake. Food delicious,staff attentive, prices OK atmosphere great.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.614285714; Sentiment_Subjectivity (from 0 to 1): 0.814285714 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Why do you have to make reservations so far in advance? I suppose I could say the hassle is worth it. Beautiful décor, decent service, and very enjoyable food. The crab toast was delicious but not mind blowing (beware-the dish is tiny!); the doughnuts were incredible and very fresh; and the breakfast potatoes are perfect - exactly what breakfast potatoes should taste like. And while I was disappointed ABC Kitchen didn't have Sriracha, they serve the most adorable miniature bottles of Tabasco sauce.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.418333333; Sentiment_Subjectivity (from 0 to 1): 0.721190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 garlic bread was terrible. The shrimp scampi and chicken parm were pretty good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.1625; Sentiment_Subjectivity (from 0 to 1): 0.8875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While I wouldn't neccesarily travel to eat here, its a good neighborhood restaurant. We've eaten dinner here a number of times and the food ranges from just okay to quite good. Last time we had dinner at Ponty we ordered duck and Chilean sea bass both of which were quite good. In addition, I am always happy with their squash soup.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.464285714; Sentiment_Subjectivity (from 0 to 1): 0.552380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: NOTE:  CASH ONLY! This place was so good I went back again the next day. I brought my laptop in to be serviced across the street from this place so I decided when it came time to pick it up I'd turn it into a brunch trip. The service from the hostess to the waitress is so exceptionally friendly that I'd be tempted to give this place five stars regardless of the food. Luckily I didn't have to worry about that because it was simply incredible. The first time I went I had the breakfast biscuit sandwich with bacon and wow was it good. Outside of McDonald's (and Vynl in Hell's Kitchen) it's often hard to find a place that makes biscuits big enough for a breakfast sandwich. As a biscuit lover I didn't even have to look at the rest of the menu, I knew this was what I was getting. It comes with scrambled eggs, cheddar cheese, tomato spread, and "optional bacon" but for me bacon is never optional. My parents were coming up from NJ the next day so I saw it as an opportunity to go back and try their famous blueberry pancakes. I'll admit it was extremely difficult to not just order the biscuit sandwich again. These may be the best pancakes I've ever had. A perfect portion, I was able to finish them but didn't need to be wheel barrowed back to my apartment. The fact that I also went to Sarabeth's Central Park South in that same week (not my idea) only adds to the great value and quality at Clinton St. Baking Company. May throw my laptop down a flight of stairs just for an excuse to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.212452107; Sentiment_Subjectivity (from 0 to 1): 0.460249042 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had the blue cheese tomato quiche. It came with salad and it was delicious. The place is lovely. But what I like the most is the staff. The guy behind the counter is very friendly and smiles all the time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.347916667; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok let's lead with the cons first: - holy salt lick batman. i couldn't even eat the collard greens with quail egg. i very rarely give the hand to a dish after i've ordered it (barring bandaids or hair, most things are edible), but this was effing salty. we made our communal table friends taste. everyone chorused in agreement. - chicken and waffles. come on, that's the dream team. but the waffles were thick, chewy, and heavy. the fried chicken is a boring chicken finger. pass. - potato chip nachos. just don't. - everything is unrightfully expensive. Ok, on to the good stuff: - bone marrow burger. they're going to make you get it medium or rare. it's really moist (haha i said moist) and you can surprisingly taste the bone marrow. - pork belly. it's pork belly. you can boil it with dirt and it would still taste good. of course this was tender and had enough asian zing to make it special. expect two bites in your portion. - the bar upstairs is the place to be. love the casual environment with friendly bartenders. there's a pinball machine! patrons here are good looking but not unattainable good looking if you know what i mean. i know you do!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.088402423; Sentiment_Subjectivity (from 0 to 1): 0.610140306 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just spent over $100 for some tuna that was decent but very salty (no, not the raw tuna with shaved sea salt, the other Tuna Susci), al dente-and by al dente i mean extremely under cooked- spaghetti that tasted similar to canned sauce, and 2 tiny pieces of bacon wrapped pork loin. While the service was good, I will not go back to Scarpetta and will not recommend it to anyone. It was wildly expensive for the quantity and quality of food received. After watching Chopped and looking forward to having some of the great Scott Conant's food...I was extremely disappointed and turned off by him. The bread served before dinner was by far the best part of the entire meal. This place literally and figuratively left a bad taste in my mouth.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.006494602; Sentiment_Subjectivity (from 0 to 1): 0.520124831 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We got a reservation within an hour of when we singed up on Yelp. Started with the stuffed mushrooms, then the salad, and the chicken Marcella.  Our waiter was great. A lot of fun. Food was fabulous with big portions. Don't forget the Oreo, Hot Fudge Sundae.  What a way to top it off. Great location right on Times Square.  Great atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.353571429; Sentiment_Subjectivity (from 0 to 1): 0.638571429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was great, and service was even better. I made a reservation on line, but for some reason, the reservation wasn't on their system. They understood and were able to find room for us on a Friday night, when all tables were taken, and the line was long outside. We shared different ceviches and especially loved the salmon tartare. We had good wine with our food and closed the evening with an awesome tres leches. Fue una noche espectacular, gracias!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.435; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love every meal I've had there. It's my kind of place- hole in the wall with questionably sanitation but super authentic Puerto Rican. I know this bc (I have a knack for these dirty hole in the wall places) and there was a Puerto Rican family reunion taking up 75% of the restaurant and they totally said that in comparison to the more well known Puerto Rican restaurant in Bew York, they thought this was more like grandma's cooking! I loved the first and second dish - pork with rice and beans & chicken with rice and beans. Tried the mofongo but if wasn't very used to the combination of garlic with plaintains and a salty sauce. But I want to try their plaintain chips and pork chops next time! And if you bring a large group, you can split their family style rotisserie chicken (it's their customer favorite); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.145701058; Sentiment_Subjectivity (from 0 to 1): 0.623809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ate at Kiwiana for the first time during a recent business trip to NYC. From the moment we stepped in, we were greeted warmly by the staff. The dining room is lovely - with original tin ceilings and lots of greenery (hard to believe that Park Slope is right outside the front door). The menu posed a few challenges - because I wanted to try everything! I finally opted for ($1!) oysters followed by the 'Lamb two ways with minted peas and couscous'. The oysters were incredibly fresh and delicious and the lamb was beautifully paired with the peas. I tried the lamb chop first. It was perfectly medium rare and well seasoned. The braised lamb medallion was 'melt in your mouth' delicious. Despite my protestations, we ordered two deserts for the table: poppyseed pannacotta and the pavlova. Both were fresh, delicious and great to share. Chef Mark stopped by during dinner to greet us and ask for our thoughts. We also talked about Rugby (my son is a Rugby player in CA)!  The staff at Kiwiana was also attentive without being intrusive. The whole experience was memorable and authentic. I'm looking forward to my next visit to Kiwiana and to trying some of their other dishes!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.376399912; Sentiment_Subjectivity (from 0 to 1): 0.61366843 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yummy foccacia in the bread basket. Crowded on a mon night. Casual atmosphere for this danny meyer restaurant. Good portion on the wine by the glass. We had the prosciutto mozzarella fresh and clean tasting. Olive oil served with the bread was tasty. Service knowledgeable and ready to recommend. Shared 2 mains with my friend. We had the mullet roe pasta w butter, the roe gave a subtle fishy (but pleasant) note which helped temper taste of salty butter. The braised pig pasta had shredded bits of meat very tender and tasty but the sauce was just too salty. I tried to leave the sauce in the plate but still ended up feeling too full for dessert. At the gramercy park hotel..nice area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.224074074; Sentiment_Subjectivity (from 0 to 1): 0.609259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hello my name is Martin and i am a Num Pang addict. Gees that is what this place is like so good and addicting. I had to come back for the pork belly, just couldn't help myself. Then I was back for the hot sausage and watermelon drink..aaaaaahhhhh God help me. Well its not that bad. But I dream not of counting sheep, but nice pork belly sandwiches at Num Pang. Really hits the spot, AWESOME!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25625; Sentiment_Subjectivity (from 0 to 1): 0.539583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't get the hype at all. I am an open minded eater so when people told me the squares here are 'upside down' I thought cool.. But really there's a reason for pizza being the way it is. The cheese here is stuck on the crust. Therefore I barely noticed any cheese and wished I was eating a reg square with some gooey cheese. The crust was a bit too thick and hard. The tomato sauce was on top and when it enters my mouth I get an overwhelming taste of sweetness and acidity from the sauce on top touching my mouth first. No texture at all that reminds me of pizza. At the end of the day, I'd rather go down my block for a square. I wish I tried their spumoni but it was in a separate area and I was double parked because their parking lot was all full! Too bad.. I appreciated the fact that it was easy to place an order and how quickly they have it ready though.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.142569444; Sentiment_Subjectivity (from 0 to 1): 0.451388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: absolutely fanstastic. i love this place.. the food and the atmosphere are great. the staff is very freindly... i would highly recommend this place A+++++++; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.372; Sentiment_Subjectivity (from 0 to 1): 0.618 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Some unique dishes such as steamed vegetable dumplings, ratchaburi crab & pork dry noodles, jungle curry fried rice with chicken, papaya salad, mango sticky rice, etc. Chicken curry puffs are good as well. Portions are relatively small so it is on the expensive ($$$) side.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.117708333; Sentiment_Subjectivity (from 0 to 1): 0.7125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You will be hard-pressed to find a better boiled pork dumpling in the city.  If you find one you think is better, please contact me and tell me about it. I pass by here a couple of times a week, and almost always stop in for quick and cheap delicious eats.  Fish ball with ground pork in the center?  Sold.  Beef tripe with thin rice noodles in soup?  Sign me up. A few pointers- the soup broth here is very simple, but you can doctor it up with vinegar, seasoned soy, or chili sauce to your liking.  You can also customize anything you want.  If you want a different style of noodle for your soup, done.  If you want noodles in your fish ball soup, no problem.  They'll just tack on a buck or two. I've been on a mission to try everything on this menu.  I asked about the #9 recently, which is the only menu item not translated into English.  If I understand right, it's some sort of eel cake in soup.  It has bones, and I was told that it can be difficult to eat if one is not already accustomed to eating things with fish bones.  I'm going to be ordering this tomorrow, so maybe I should have waited to write this review to be able to talk about that?  Whatever.  This place is great, go check it out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.187169312; Sentiment_Subjectivity (from 0 to 1): 0.540277778 [/INST] Not Spam</s>