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: Let me be absolutely clear: do not dine here if you have even the slightest sophistication of palate - you will be thoroughly disappointed. Yes, they have festive lighting and hype the Latin theme, but there is no quality. Your small town friends may feel in vogue that they got a unique Manhattan dining experience here, but deep down in your cultured New Yorker heart, you'll know that this is Epcot at best. Our friend's restaurant concierge convinced us to try this place and having read the reviews before going in, we made clear that we wanted chicken that had not been oven roasted for too long a time. Despite the request, the chicken was among some of the driest meat I have encountered. It was arroz con pollo constituted from a dehydrated mix to which insufficient water was added. The ceviche was not fresh, the fish tacos were all batter presumably to cover up the frozen fish, and the cocktails were made incorrectly (no salt rim as requested with the margaritas). As if the bad food was not enough, the service was OFFENSIVE. We waited 25 minutes for our first drink. To their credit, the manager recognized the inappropriate wait and came to our table to take our second drink order (as if his presence at our table made up for the long wait). Of course, the second round was equally slow to be brought out. I am normally not this snarky, but the series of events that transpired next prompt me to warn folks about this place far and wide. We asked our waiter to remove the food from our table. Seeing that we barely ate it, he inquired why this was so. We explained our disappointment in the food, however we did not request a re-preparation or alternative dishes. Rather, we planned to finish our long-awaited cocktail, pay our bill, and depart. Subsequently, the manager returned to our table with a fiery step and defended the chicken, exclaiming to us that it was our taste that was flawed. Rather than pointing out the well-traveled background of our friend or the significant amount of time we have spent in Latin America practically living on arroz con pollo, we respectfully disagreed and requested the bill. Thankfully, the most prompt feature of the service that evening was the bill arriving at our table, and of course the bill arrived without even the slightest reflection of culpability. The manager accosted us as we walked out of the restaurant, continuously defending the meal-gone-wrong like a child who knows he did something bad but will not admit it. He followed us out of the restaurant with escalating anger at our staunch disengagement from his antics. Perhaps he had a few too many drinks. Needless to say, we will not return. The restaurant concierge will remove this from the company's repertoire, no longer to be recommended to their large clientele, and I sincerely hope that I have saved you from wasting your time, money, and mostly your appreciation of Latin American cuisine.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.0623234; Sentiment_Subjectivity (from 0 to 1): 0.464659049 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like crepes. I like bars. If there were a bar with an attached tiny creperie I would probably lose my mind. Unfortunately, I had no idea Shade was this place, therefore I only lost my mind the next day when I read the Yelp reviews and felt like someone played a joke on me. The first thing I thought when I got to the Yelp page was, "Why is there a picture of a crepe?" Duh. Although I missed out on the crepes, I did not miss out on the bar fare. I met some friends here and entered to find a tiny little bar with a few tables and a little couch area near the bathroom. The staff was great and attentive and seemed like they have a good time there. I can imagine this place might be a bit disastrous if packed, but on a Friday it was not jammed while I was there. I would definitely go back, especially since I now know they have crepes. Duh.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.003947368; Sentiment_Subjectivity (from 0 to 1): 0.562280702 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pasta and a beautiful room. Its not cheap, but the food is really very good. The room is beautiful but its kind of loud. Our server was good. The only con for me was the wine list-it's all Italian, and I've never even heard of most of the varietals. Our server said that sometimes people ask for the "English" wine list!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.425833333; Sentiment_Subjectivity (from 0 to 1): 0.669166667 [/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: keeping it simple is my favorite thing about restaurants. Walter Foods has done that. my definition of simple is the following: good food, good service and good decor.  they have done all three of these things at Walters.  We were greeted upon enter the restaurant by the owner, who made time for us.  We hung at the bar, where the bartender was prompt and outgoing.  Once we sat at our table we enjoyed food that was prepared properly and served beautifully on the plate.  the prices were moderate and we expect that as residents of williamsburg and new york city.  we will eat here again and again because it is good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.368181818; Sentiment_Subjectivity (from 0 to 1): 0.551448551 [/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: Stopped into this café to have lunch between the Met and the Whitney and had a great meal - it's tiny and narrow, but we were seated fairly quickly in the window - the lentil soup was delicious and the sandwich I ordered was great too - the quality of the bread can make all the difference; it was also served warm - it was prosciutto, fresh mozzarella, tomato and olive paté and I would recommend it.   Panini are served by themselves and are a good size.  Service was a little over-brisk for my taste (trying to turn tables over), but we stayed for cappuccino and the most delicious little selection of cookies... People watching is also fun here...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.411309524; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The gates of meat heaven is embellished with a pink neon sign that says "Fette Sau." As you wait on the half hour line, you will be tantalized by the pungent scent of the BBQ meat that drifts out from the doorway of this garage-turned-into-sit-down-eatery. Cue the stomach growl. Once you finally reach the counter that displays the slabs of meat, be sure to order: a quarter pound of pork belly, a half pound of boneless beef ribs, a quarter pound of brisket, a spicy sausage, a side of beans, and a pint of their house beer served in adorable Mason jars. Cue the mouthgasm. What this place lacks is a bed to catch you right when the ultimate food coma smacks you in the face after your last bite of their tender, juicy brisket.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.075238095; Sentiment_Subjectivity (from 0 to 1): 0.512460317 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Best gyro platter in town, I have been going to this place since the late 1990 and its still the same.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.341666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They are really fantastic.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Both appetizers and main dishes are amazing. Love the mingling atmosphere at the communal table! Never know who you're going to meet. Manager was really nice and very friendly. Feels like being home again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.495833333; Sentiment_Subjectivity (from 0 to 1): 0.696666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 empanadas, arepas, appetizers at an outstanding price. Unfortunately, a very small venue that can have a wait, understably so since the food is delicious! I've come here twice now in the past month and I live in Mississippi. I love this place! What to order: everything, but if you have to be picky - corn empanadas (tastes like a corn dog dough, good with spicy chicken or pork) dessert empanadas - especially the fig, cheese and caramel empanada. i can't even tell you how good this is. i ordered another immediately after i bit into the first one. you could also add ice cream to this for $2. arepas - i didn't try one but this looked good, my friends ordered theirs and said they were great and much bigger than the ones they would get in miami. tostones - double fried mashed plantains, great appetizer plantains with guacomole - the guac is so good, and these chips just top it off. i wish i had more time here to try more things. the main entrees looked really good too! it may be my favorite cheap restaurant in nyc.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.399121212; Sentiment_Subjectivity (from 0 to 1): 0.612466667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I eat here more than I care to admit and I love it. It's always consistent and the staff is always super pleasant. They recently changed the menu and added some amazing sounding dishes, which I look forward to trying out. The tuna burger, the regular burger, and the fried chicken never ever disappoint and the bloody mary spicy as hell. Come for brunch or dinner. The only thing is I don't really recommend it for parties over 4 people, it can get a little crowded. Other than that, it has become my regular "go-to" spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.093611111; Sentiment_Subjectivity (from 0 to 1): 0.547478632 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here once during the fall and was pretty pleased with everything.   However, looking at the yelp pictures just now has given me THE BIGGEST craving for the spaghetti with bacon, green pepper and ketchup.   All I can think about right now is the how tasty those noodles were.. the way the bacon grease danced with the ketchup.. the bits of onion, pepper, and bacon scattered throughout.. I made a dinner date to go there tomorrow night, but in my attempt to appease my craving tonight, I decided to write this yelp review.  (yeah, that didn't help) But while I'm here... a few more tid bits on the experience I had.  The wait can be brutally long, but it's 120% worth it.  The place is in a basement and a little hidden, which is always pretty cool.  Don't be fooled: the Japanese place that's next door and above ground is not the same.  The takoyaki is also a little dream on a plate.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.084943978; Sentiment_Subjectivity (from 0 to 1): 0.420238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was very excited to find this authentic Cuban coffee spot, having just relocated back to NYC from Miami.  Coffee is solid and they have a wonderful assortment of Cuban pastries, including a sinful guava cheesecake that is better than any I ever had in Miami.  And to top it all off, the staff are super friendly and sweet.  Loved the whole design and aesthetic, too, down to their logo.  Very well thought out, as reflected by the impeccable quality of their coffee, sweets, design and service.  Best in the city and exactly the sort of business that I'd like to see grow and expand.  A++; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.41119281; Sentiment_Subjectivity (from 0 to 1): 0.513562092 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: just went back cuz my first visit was great.  margaritas still stellar but this time around the food wasnt as great.  still one of the best mexican around and i love the vibe of this cramped little east village gem.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.379166667; Sentiment_Subjectivity (from 0 to 1): 0.387037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: UM Breakfast gnocchi. It's pretty rich, but dear god, Worth the food coma; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.20625; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small restaurant with excellent rotisserie chicken and soup. Restaurant doesn't have much atmosphere--typical for Peruvian chicken restaurants. One TV showing soccer games. No alcoholic beverages. Excellent for a quick, inexpensive meal, simple but a great value. Would have given it 5 stars except for the lack of ambience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.200833333; Sentiment_Subjectivity (from 0 to 1): 0.660714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the bomb diggity! Good Korean food at a really cheap price. For the value, you can't beat this place. It's quick, easy, fun to eat in or take out. Kimchi fried rice is $3.50. How do you beat that?! And it's good! I've had their Bulgogi w/ rice combination, Dukbokki combo, Spicy Pork w/ rice, With many of their combo boxes, you can purchase a Miso soup or small container of rice for another $1. I usually buy Aloe drink also and that makes an AMAZING meal for a ridiculously cheap price for what you get. I love this place and there really is not enough good things I can say about it. Go go go!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.392261905; Sentiment_Subjectivity (from 0 to 1): 0.563095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ambience Is perfect, the service friendly and the food exactly what I wanted. $4 local craft beer complimented the perfectly spicy food like a dream. I'm definitely going back and would recommend it to anyone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.464285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like espresso, especially unsweeated. You have try them out. Nice pastries. I had the side by side (coffee and espress, same bean, side by side). Wow, amazing quality on both. I don't desire the sweet sweet taste, so this is excellent for me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.790625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What can I say about this place that hasn't already been said about God? When I read about this place I thought it was going to be a hole in the wall shop dealing by the slice. I was surprised at the nice decor...even the bathrooms were very clean (although its the size of a broom closet, the wall is probably less than a foot away from the actual throne...I don't know how anyone could do anything but stand next to it) I ordered a beer (their pitchers do about 4 pints for 18 bucks, or single pints are 5 dollars - they have stella, sam adams, brooklyn lager, and one other I can't remember, on tap, more choices by the bottle) and I got the small pie (14" - 6 Big slices for 16 bucks) with pepperoni and wild mushrooms as extra toppings. The pizza comes standard with tomato sauce, fresh mozarella and sliced basil. It was a 25 minute wait for the pie, so I got started on my beer. Pizza came out not a second too early and I was about to realize why I moved to new york. The nice server brought the pie out and I took a cell phone shot specifically to send to my friends in Northern California who have to survive off of Pizza Hut or Lame-inos. This was the mona lisa...if the mona lisa was made out of leavened dough and mozarella. It was thin with huge cut slices, a nicely charred bottom crust, mounds of melted fresh mozarella and chunky tomato sauce. The pepperoni was the smaller, thicker kind (which I dig), the "wild mushrooms" looked like portabella which is always better than your standard white mushroom. I took a bite. The slightly charred, cracker like outer crust has a slightly smokey, slightly bitter taste. The crunch then gives way to a soft, thin, yeasty interior with a nice chew. The perfect balance of texture. On the top I got the snap of the fresh mozarella, lots of fresh tasting chunky tomato, crisp pepperoni, fresh aromatic basil and meaty mushrooms...all of this in one bite. The thing that really stood out was how fresh everything tasted. I ate the whole pizza by myself. (For the person that said you have to go with someone else, although for most people this is true) This is better than any pizza I had in Italy (For the person who said it doesn't compare) I went around 4:30...random time I know, there was no line up at that time so if you wanna beat the crowd you may wanna go at an in between time. I highly recommend this place. Now that I think of it, since I'm completely new to the city, I got off on Spring St. and didn't even realize how far away 32 Spring St. was. I ended up walking over 15 blocks to get to the place. In retrospect, this was probably a really good thing considering I ate an entire pizza myself. Hit it up.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.193518565; Sentiment_Subjectivity (from 0 to 1): 0.486346986 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 think I've ever given a restaurant a 5-star review, unless it has some sort of sentimental value.  Ilili deserves all 5 of those stars, without any sentimental value.  This review is also proof that Restaurant Week can stack up to going any other time of the year. After pouring through RW menus, I saw that Ilili's was full of veggies and fell in love.  I am not a vegetarian, but I'm close enough, and I am also picky to the max and allergic to dairy so pleasing me on a limited menu isn't exactly the easiest thing to do. I made reservations for after work with a friend.  It was still pretty mellow when we arrived, but I loved the ambiance -- perfect for a cocktail and a few small plates after work.  The bar/lounge and dining room were separated, but they still flowed together nicely.  Everything was clean cut and just pristine looking. We sat down and were greeted promptly.  Our server was nice, but not super friendly.  I would not say it was 5 star service, but it was not bad service by any means and the food certainly didn't leave me wanting anything more. They were pushing Paumonauk Savignon Blanc (from one of the LI wineries) for RW and gave us a sampling.  It was actually very, very good (and I usually prefer Pinot Grigio because I always know what it is going to taste like and try not to stray too far on wines), so I ordered a glass after finding out that happy hour (5:30-7:30) was only at the bar. Ilili's menu let's you choose two small plates, a main dish and dessert.  The small plates are actually quite big. We split: Hommus: This was actually my first hummus experience.  I've been avoiding it for picky reasons that I cannot even explain, but I enjoyed it.  Upon first taste, it didn't have much flavor, but there was a nice sweetness to it after.  We were given a ton of big, air-bubbled pita bread, which was fantastic -- both with the hommus and alone.  We had to ask for extra.  I love carbs and that is the understatement of a lifetime. Lebanese Thyme Salad: Probably my least favorite of the four because it was overwhelming with flavor and didn't complement the rest of the plates as well as the other three.  Regardless, it was still very good. Zucchini and Leek Bil Zeit: I LOVE zucchini and do not see it on menus nearly as much as I'd like.  My dad has a fantastic zucchini recipe (note: ask him for this immediately).  Anyway, the zucchini was cooked perfectly and filled with the right amount of flavor and hint of lime.  I'm not even a huge lime fan and I still loved it. Green Beans: By far the best plate.  Whatever they were cooked in was genius.  I could've eaten the entire plate myself, except my friend ordered it, so I had to act like he ate more (when really I think I did). For dinner, my friend got the duck leg and I got the chicken, which was cooked perfectly; though it was plain, it was still flavorful.  They gave me more pita (score! though not the puffy kind) and a small green salad with it.  I suppose the choice of two plates at the beginning makes up for the lack of sides, which I am okay with.  He loved the duck and I, of course, did not try it, so I'll go with his opinion. I went with the Ilili Candy Bar for dessert because it sounded too good to pass up, even if there was the chance of me breaking out in a rash.  By that point, I was pretty full anyway, so I knew I could have just a few bites and be satisfied.  It was the tiniest dessert ever, but extremely rich in flavor.  Chocolate lovers would swoon.  Stuck to my few bites and it was perfect. Will absolutely be back for dinner and drinks.  Their happy hour menu looked tempting and the food is definitely worth another trip.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26900496; Sentiment_Subjectivity (from 0 to 1): 0.593304563 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had their pizza, which is what they are supposedly known for, but I have stopped by Eataly a few times during lunch for some gelato. And I can say, after having been in Paris for two weeks (however, I have not ventured to Italy where i have heard has the best gelato in the world), I can say that Eataly has gelato that is richer, creamier than any gelato I have ever had. The Salted Caramel gelato melts like a cold, icy butter onto the tongue. Completely smooth and delightfully flavorful.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worth the wait and every penny best pizza in the city; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.2 [/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: Love the food but the waiting is always too long. Salmon eggs Benedict is really good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.383333333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Damn good cheesecake. We tried the plain and the carrot cake cheesecake and they were both decadent without being over the top, which was good as we were pretty gluttonous at Peter Luger earlier that day. If you want something more than cheesecake,  I strongly suggest their macaroni and cheese. Tasty, reasonably priced snack. I DO NOT suggest ordering a Manhattan. Maybe I've watched too much Sex and the City and I should have known better, but if you are in Manhattan you should be able to enjoy a great Manhattan anywhere right? Nope. Not here. I've had better Manhattan's in Louisiana, sadly. This is definitely a place that fits in well on the outskirts of Times Square, as its very touristy with a focus on turning tables quickly rather than on service. I'm glad I experienced it because the cheesecake was good, but it's definitely not on my list of places to revisit on my next trip to the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33152381; Sentiment_Subjectivity (from 0 to 1): 0.572047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pork belly sandwich is heavenly. I swear. I'm not a big fan of pork belly to begin with; the fat grosses me out. But if I had to choose to eat one thing for the rest of my life, it would be this sandwich. It is incredibly juicy and flavorful. The pork belly is slightly crunchy, and when you bite into it, your mouth waters. Some people were complaining that the sandwich was too small. I think it's the perfect size. It doesn't leave you overly bloated or hungry, which is good enough for me. I also tried the blood orange lemonade. It could have been sweeter. I guess I'm just not much of a blood orange fan. GET THE SANDWICH.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.260416667; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I literally wanted to eat everything on the menu. And I almost did. I tried the chicken biscuit, the gumbo, mac and cheese, pork belly cracklin, deviled eggs, and steak. My favorites were the chicken biscuit, gumbo, and the steak. You seriously cannot go wrong with this place. I wish I could eat the chicken biscuit every day.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.526666667; Sentiment_Subjectivity (from 0 to 1): 0.883333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To DIE for. I'm a major picky Eater and if I ate 95% of this meal means a lot. Everything was perfect. I will be going back! My amaretto was fabulous; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.365625; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meatball sliders were really good. Also had the fish special with risotto...excellent.  The "world famous" burger is only served at brunch/lunch so we'll be back.  Fun little place for an occasional visit, too expensive to make it a regular stop.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.116964286; Sentiment_Subjectivity (from 0 to 1): 0.477335165 [/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: Absolutely amazing!! I love this place. There are actually 2 carts of his. One with the HUGE line and the one just across the street that never seems to have an enormous line. Their lamb is amazing and portions are great. I love their white sauce, and their hot sauce........ its hot. The cart across the street has drinks right there that you can purchase. I come all the way from Long Island just to get his food, and I always get one to go!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.343131868; Sentiment_Subjectivity (from 0 to 1): 0.637362637 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. I'm salivating after I just thought about it. It's a must try. I think I need to go and get some soon because it really tickles my heart and makes my day. The Cuban sandwich I've had better at other places but it's not bad. But definitely...did I say corn yet? Yes do it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.23125; Sentiment_Subjectivity (from 0 to 1): 0.435416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ambience and decor are nice and get you in the mood until you get the food.  Disgusting.  The noodles were soft and passed their cooking time, the soup didn't have oomph and the chicken in it was fatty, refried, reheated. We didn't finish and had to leave and go somewhere else just to get the bad flavor out of my mind and out of my mouth.  To put it mildly, I've had better Udon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.120833333; Sentiment_Subjectivity (from 0 to 1): 0.670833333 [/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: Excellent, authentic food in a no frills, inexpensive atmosphere. I love this place! The staff is always friendly and is very efficient. I like that you can eat an entire meal for about $10, and I appreciate that there seem to be a lot of people who know what they're doing who like to eat there. Definitely a recommended spot . Fun cheap date night activity or dinner with friends.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.377777778; 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: This place was so good I came here twice in one weekend for pickup. Day 1: we ordered 2 Roti Canai, I had the Hainanese Chicken and my friend ordered the Beef Rendang (he said it was really good). Even though I knew I'd be full by the time I'm done with the dish, I wanted to go back for more ... It was really good. Day 2 (the day after): we ordered 2 Roti Canai, Crispy Seafood Egg Noodles, General Tso's Chicken and Malaysian Curry Over Rice With Chicken. Again they had exceeded our expectation on food. Definitely come to this place for the food not the ambiance. I will absolutely come back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.107692308; Sentiment_Subjectivity (from 0 to 1): 0.584615385 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: piggy, piggy, pig, oink, oink. excuse me sir, you want pig with that? so if you've already read my Beer review, you know i was probably in no shape to really appreciate the piggy goodness of Fette Sau but here goes.   first off, don't order food here (or anywhere, for the matter) when you are drunk and hungry.  Bad news.  Ins spite of the ridonkulous price tag, here goes.... first, i ordered half a rack of ribs, a side of baked beans, and another side of broccoli salad.  refer to previous paragraph.  the ribs were absolutely fantastic, the baked beans were.... oh my g*d, i think i just made a mess..... good.  i mean GOOD.  with bits of pulled pork mixed into them.  ok, i have to stop. the broccoli salad was cold.  nuff said. i don' really remember much more than that, other than using a roll of paper towel and Jon pointing out that someone famous sat across the table from us.   but it was yummy, comfortable, loud enough to drown my obnoxious cries for more sauce and, "oh man, you've gotta try this" across the table.   i am definitely going back sober.  ok, who am i kidding?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.107291667; Sentiment_Subjectivity (from 0 to 1): 0.482291667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went yesterday night for restaurant week.  I thought it was good.  It could have been better though.  If anyone goes they should try the mojito and the chocolate cake, they are very good.  I had the pernil, i thought it was good and could have been better though.  I tried the chicken for dinner, I thought it could have been seasoned better.  I would go again but avoid the chicken.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.317777778; Sentiment_Subjectivity (from 0 to 1): 0.625555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bare burger.  They really know how to make the bison burger, and I found the canadian was simple awesome.  Going on an organic healthy trend, this place is a great staple.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.435714286; Sentiment_Subjectivity (from 0 to 1): 0.501020408 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a business trip- so fun! Great for family style dining. Not the BEST Italian I've ever had, but the atmosphere and ridiculously strong drinks definitely made up for it. It was a bit of a wait for a table, so you may want to pack a granola bar in your purse if you go a weekend night. Although, the portions are so huge, after the wait, it might work out well!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.444047619; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found a convenient place to jump into on a fifteen degree afternoon. Service and food were equally great. Would absolutely come back to try their diverse dinner menu. An Indian restaurant that serves scallops, crab and duck dishes?!? Count me in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came for brunch on a weekend which is probably the worse time to go.  We've been here twice and attemped to eat here twice.  Unfortunately, we never get here at the right time to shorten our wait time.  This place is tiny and due to it's popularity, you must really want to eat here because you'll be waiting for a long time!  (I once saw a family of 5 wait the entire time we waited + the time we sat, and finished our meals.) I honestly think the food is overhyped.  Compared to other pancakes, Clinton's is certainly better than many I've tried but I don't think it's  phenomenal.  It's fluffy but it's also too buttery for my taste.  The same goes for the maple syrup.  This is exactly why some people like it but not me.   Hubs did not think the Biscuits were that great either though the omelette was cooked perfectly.  Sugared cured bacon was good. I don't plan to return here in the near future unless they expand.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.227295918; Sentiment_Subjectivity (from 0 to 1): 0.507653061 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the prosciutto, mozzarella and arugula sandwich.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.7 [/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 loveTasty! The noodles are not too chewy and the broth is amazing! I usually get the duck hand pulled noodle, and it always satisfy my noodle craving! Get the fried dumpling instead of steamed (they taste better when they are fried). I never tried the fried noodle. A friend of mine says its good but a bit greasy. Can't wait to go back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3275; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: B oo L ower east side U are freezin your ass E ffin long wait B ullshit! E ndless wait! R we there yet? R we there yet? Y ou finally got in P acked! A ngry but hungry N ot sure what I should eat C my phone to check yelp quick A nonymous source said pancake is yum K ay let's try it E nd of the world; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.188802083; Sentiment_Subjectivity (from 0 to 1): 0.697222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently learned that one of my fave restaurants serves Caldo Gallego as its daily soup every Thursday! Theirs is hearty & absolutely delicious...brimming with chunks of potatoes, tender white beans, ham and slices of spicy sausage. I was scraping the bottom of the bowl when I was done. Had it with some arroz y ensalada de aguacate on the side. Very filling and less expensive than ordering an entree. BTW, Cabana's entree's are significantly cheaper on the lunch menu. A sizzling skirt steak smothered in onions w/ rice & beans is $24 as a dinner entree, but half that price on the lunch menu (only slightly smaller). Also recommend the awesome tostones rellenos as an appetizer.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.078472222; Sentiment_Subjectivity (from 0 to 1): 0.479861111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cheap italian food.  I've never eaten in the actual restaurant but I'm never disappointed by what I order.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.315; Sentiment_Subjectivity (from 0 to 1): 0.46 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 went here for dinner last night. We were five people, including one with gluten intolerance and a nut allergy, one pescetarian and one vegetarian. Because it was a tasting menu, the server and chef came out to discuss every course with us and describe what they would make for each person with a limited diet if the course they'd planned didn't work for us. The chef didn't just take away ingredients from dishes she'd planned in order to make them safe for us, but made totally new, just as delicious items instead. They were not only accommodating but completely prepared. The menu looks small on first glance but, other than the entrees where you choose one from a list of three, you literally get to eat everything else on the menu. I think I counted about 9 different dishes. The food was so fresh and flavorful and hyper seasonal. Super recommend!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.173584749; Sentiment_Subjectivity (from 0 to 1): 0.49531302 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 always enjoyed Café Grumpy. The coffee is still 5 stars but I'm really sad they shut down their bakery program. Which is why this review is just 4 stars. They used to have this amazing guava tart. Definitely gonna miss that.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.088888889; Sentiment_Subjectivity (from 0 to 1): 0.677777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Redhook lobster pound lobster rolls are, admittedly, what brought my veganism to a roaring halt. Sweet, fresh chunks of chilled (or warm) lobster are wrapped in a soft potato bun and garnished with scallions and a drizzle of butter. I've never had the maine style one with the mayonaise, but the the connecticut one is incredible. I recently branched out and had the lobster mac and cheese as well which is very well done. The cheese isn't too sharp or overpowering and the large chunks of lobster are like finding a little treasure every time you happen upon one with your fork.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.235178571; Sentiment_Subjectivity (from 0 to 1): 0.522857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to this Smith location for Brunch with some of my gfs. They have a great menu especially for Brunch time. Each dish comes with a complimentary brunch cocktail, some of which included blood orange mimosa, Bellini, regular mimosa, and more. I ordered the Bellini and it was Delish!! For the meal I was torn between the Potato Waffle Benedict and the Juevos Rancheros. My gf got the Potato Waffle so i got the Rancheros. I tried her Potato waffle it was awesome, sort of like a thick latka. My Rancheros was off the hook! The combination of the black beans, avocado,and egg made this dish simply delicious ( you know its good when i don't abbreviate delicious with delish)\ Best part brunch only cost about 22 each..Not mad about it; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.386755952; Sentiment_Subjectivity (from 0 to 1): 0.688232601 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was not worth the wait and price.  We just went to there to see what all the fuzz was about and waited for more than an hour on Friday night and a simple noodle dish costs $15 with two thin slices of meat.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.0125; Sentiment_Subjectivity (from 0 to 1): 0.451785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tavern on Jane has great atmosphere. Pub fare and great entrees. I love the room in the back for large groups. 15-20 comfortably. Ideal for Birthday dinners. The staff are super friendly and the regulars fill the place regularly. Great little place for a date or starter fare in the west village. Also good alternative if Corner Bistro is too crowded. Surprisingly good wine list too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.494593254; Sentiment_Subjectivity (from 0 to 1): 0.595436508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was my second visit to Ponty (named for a main drag in Dakaar). My younger brother suggested it on boyz nite out. Needless to say I was doubtful. Happily I was wrong. I had a deliciouslamb shank w/couscous and merguez. My bro had the hangar steak,which was tender,delicious, and cooked as he liked it (medium is too done for me). I took my wife there on Sun. afternoon for a late lunch and got the prix  fixe. Appy,main, & dessert for $19.99 was a great deal. Mussels were super and filet stuffed w/ REAL crab was moist and scrumptious. Hangar steak was again terrific.This place is a must try; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.053846154; Sentiment_Subjectivity (from 0 to 1): 0.563141026 [/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: Other than the hour long wait for brunch on the weekend this place is probably my favorite brunch spot in the west village. Their fried chicken sandwich is to die for. The bloody caesar is the perfect drink to go along with your brunch. Brunch is unfortunatly only available on weekends but you can luckily get the fried chicken sandwich for lunch all week.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.005833333; Sentiment_Subjectivity (from 0 to 1): 0.780833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Verlaine is always a good time. And the crowd is pretty attractive regardless of what time you come in. I haven't had too many food items from their menu but from what friends have told me, they are decently prepared and tasty.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.753333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stop by every time we're in the city.  With a HUGE variety of empanadas under $3, there is something for everyone.  The plaintain chips with guacamole are a perfect starter.  Then choose from the extensive list of empanadas.  I love the Cuban and Brazilian.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.708333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new to macarons. Only started trying out macarons last year and also bear in mind I have my own tastes. I wanted to give Laduree 5 stars but the reason why is because of my own taste buds. Laduree is a beautiful shop on madison av nearby hunter college. Just a few blocks from the subway station in a very nice area. The store itself is very cute and spacious. The workers greet you very nicely and are willing to attend to you. The selection is great! Along with seasonal flavors. However don't expect the pastries you see on their website yet. This store only sells macarons and chocolate. I hear their opening another shop with the pastries in November. I anxiously await their opening. The macarons I bought with my best friend are outstanding. Although the macarons crumble very easily because they are very soft with a slight crisp on the outside. I had a difficult time trying to get them out of the box because the cookies would crumble a bit in my fingers. I dislike that because I knew the texture would not be 100 percent my favorite. Laduree's macarons have the correct texture I would expect such a fancy store with a very good name would have but for some reason I prefer macarons made by inexperienced hands. I like the mistakes and the harder more crisp cookies from a chef's first time making macarons. But that's just me. But the macarons taste absolutely fabulous. I've had macarons from many other places before and my favorite flavors are Raspberry and Rose so I knew I would love the ones from Laduree. Both melt in your mouth and are very delicious! I took a bite of my friend's Coconut and Chocolate Coconut and both are equally delicious! The only flavor I didn't like was Strawberry Candy. A tad too sweet for me. Delicious macarons and worth the $3 price tag in my opinion. But don't try to eat too many because you'll regret it when your throat is dry and scratchy from all that sugar!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.355106749; Sentiment_Subjectivity (from 0 to 1): 0.677035124 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 there on a whim one night on the way home, cuz I've eyed it before and wanted to experience another place in the neighborhood. It looked like everyone there was on a date from out of town, and I have to say that the atmosphere was nice and the service was fine, but the food... the food was Meh. We got the appetizer platter and a fish plate to share. It seemed like there was some spice or flavored oil that was in just about everything and an odd green sauce either accompanied or was drizzled over everything else. It was unavoidable and tasted and looked as if came out of one of those 5 Gallon Costco tubs. Even my fish appeared offended to have been coated with it. It tried hard to remind me that it had character on its own and at least it had the support of the tasty vegetable mix beneath the filet - lightly fried cauliflower with roasted beets and chickpeas - saviors! As I recall, all of the desserts sounded appetizing and the knafi was super sweet, but lacking the crispy authenticity of the Middle East. Peace. I may be back for dessert but not any time soon.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.157051282; Sentiment_Subjectivity (from 0 to 1): 0.508333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: bar beer and wine. it's whatever. clams small. butter is good with bread. octopus good char, flavor. expensive. butcher's steak perfect, inexpensive. favorite steak in the neighborhood. prepared well every time. shoulder blade chop (lamb) delicious. get the butcher's steak though. pan-fried mashed potatoes very rich, delicious. spinach gratin good, not memorable. sea beans (special) very good. i miss. m-e-t-h-o-d man.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.488818681; Sentiment_Subjectivity (from 0 to 1): 0.786648352 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard Robert Berry (formerly the chef at Cookshop) had taken over at Monument Lane and had dinner there the other night. The food was excellent. The rabbit rocked. Order it. I don't how the food tasted before Berry arrived but I ate often at Cookshop, where he always did a bang up job. If you don't believe me then read The New Yorker review below, which loved Berry's cooking at Monument Lane. However, I disagree with the magazine's take on the lobster roll. I want a lobster roll at a shack in Maine on a summer's day, not on a Saturday night in Greenwich Village. Lobster rolls are for lunch _ not dinner. newyorker.com/arts/revie…; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.342272727; Sentiment_Subjectivity (from 0 to 1): 0.525909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I loved the atmosphere of Walter Foods as soon as I sat down.  It had an old school vibe to it, and instead of putting us at a cramped table for two, a friend and I got a spacious booth and the host was accommodating, even asking if the temperature in the restaurant was okay.  Waiters were sharply dressed in white button ups and ties.  For a second, I thought I hadn't crossed the East River and was still at work in the Financial District.  Our water glasses were constantly being refilled and the moment I finished my alcoholic beverage, I was immediately asked if I wanted another before my glass hit the table.  Guess it looked like I had a rough day. To kick off the night, we started with some cocktails.  While they were a little pricey at $11 a pop, they certainly had some specialties - including a Dark and Stormy (gosling dark rum/ginger beer), which I typically only see on vacation in Bermuda.  Clearly I was in heaven with the drink, but was a little disappointed in the price. Our appetizers came out first, and we went with fried calamari and crispy green beans (green beans in tempura).  Please note that these are on the menu at the restaurant, but not on the online menu.  We were both unfortunately disappointed with both these dishes.  My roommate wasn't a big fan of the teriyaki sauce with the green beans, and we agreed a spicy wasabi dipping sauce may have gone better with it.  Luckily, we had some jalapeno mayo type dressing with our calamari, so we used this as a substitute.  I like to consider myself well-read in the art of fried calamari, as it truly is my appetizer staple, and this was disappointing.  The plate was mostly tentacles and I found myself digging through flecks of friedness in hopes to find a ring or two.  Unfortunately, the whole plate was just overly fried. Dinner though was redemption.  Crystal and I decided to split two sandwiches - a filet mignon french dip and a lobster roll.  Both came with fries, but we swapped one of the fries out for mashed potatoes.  They were so delicious.  The fries were perfectly crispy and well seasoned and I loved that Walter Foods gave us a tray of dipping sauces.  The lobster roll had huge pieces of meat and it wasn't overly mayoed.  As far as the french dip goes, every time I eat a steak sandwich I feel like an idiot because I have such a hard time biting into the sandwich and I usually end up pulling away with a huge piece of steak coming out of my mouth (See?  Who wouldn't want to go on a date with me?).  Not the case here at Walter Foods. The meat was tender and the tangy horseradish sauce was a great complement.  The mashed potatoes were also delicious with the right amount of garlic, and let's just put it this way - I had about two tablespoons of potatoes and a quarter of a sandwich and I brought it home because I couldn't bare to toss that deliciousness away. While I loved the sandwiches we got, unfortunately the first course was a bit of a disappointment.  I would head back again for the sandwiches but I'd be a little worried to try too many new things since I felt like some of the items on the menu were a hit or miss.  Overall, if you are in BK or have friends who live there, check it out, but I don't think Walter Foods should be the reason some Manhattanites travel to Williamsburg for the first time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.071548108; Sentiment_Subjectivity (from 0 to 1): 0.499021082 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Make sure you check ur sandwich before leaving drove 20 mins to get there ordered my sandwich drove back to work and opened my sandwich to find it was not even close to what I ordered. ...thanx for a waste of time and money and no lunch Ps this is the second time this happened. ...everybody gets one....not two; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.075; Sentiment_Subjectivity (from 0 to 1): 0.222222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good for brunch.  Had the eggs benedict with salmon, crepe Henri (with swiss, spicy sausage, and leeks), and the plate of assorted charcuterie.  All were excellent.  The hot and ice chocolates were decent - they were a little bland and watery for me.  The servers were friendly.  The atmosphere was very casual and family-friendly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1859375; Sentiment_Subjectivity (from 0 to 1): 0.74375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 calls for a beautiful story. US Vs. Portugal, Sunday afternoon, beginning of summer. Our group of friends went to Smorgasburg that morning and stuck around for the World cup game. After the game, we were hungry and decided to find a place with outdoor seating so our 5th furry friend can dine with us. We choose Fette Sau because they had outdoor seating. But it was when we got our food, they kicked us out. No dogs allowed. So we took out 1/3 lb of brisket, 1/3 lb of ribs, and 1/3 lb of pork shoulder, rolls, and baked beans to the Capital One bank parking lot in Williamsburg and ate there. The bbq was perfectly roasted to fall off the bone tenderness. The baked beans were infused with bacon. They had like 2 different kinds of bbq sauce, one sweet and another spicy, and thy were equally delicious. Takes me right back to Smokin' Jacks back in Indiana... It was a beautiful night, with a couple of my favorite people and dog in the world. This is how love is remembered.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.348901099; Sentiment_Subjectivity (from 0 to 1): 0.62967033 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 liked the fact that you could pick between white & dark meat. Special nod to the hush puppies! The potato salad is good. I think the mac & cheese is decent, but would recommend almost any of the other sides first. Good banana cream pie.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.287566138; Sentiment_Subjectivity (from 0 to 1): 0.482936508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Friday night around 7. The restaurant was crowded however the wait was about 15 minutes which wasn't too bad. Let me tell you this place is pretty amazing and the prices are great! The ambiance is very cozy and would a great spot for a casual first date. The restaurant is a tad small and tight making conversations easily heard by the adjacent party. The food is top notched and did I mention cheap?? I had the grilled shrimp and calamari ($8.50) and the special mozzarella salad which were both large portions and very delicious. For my entree, I had the Tagliolini ai Fruitti di Mare... with clams, mussels, calamari, and shrimp sauteed in garlic, extra-virgin olive oil and lite tomato sauce which amazing for $12.50. I would like to come back to try the chicken liver and also the tiramisu. The restaurant however is Ca$h only and the selection of wine by the glass is limited to just a few house wines.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.165670996; Sentiment_Subjectivity (from 0 to 1): 0.638798701 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 slice in the world; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/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: Immediately had to go to Ladurée after it's third day of opening in NYC. This was probably the longest I've waited on line for ANYTHING.  Total wait time for me was two hours and 15 minutes. This was on the Friday before Labor Day weekend at 345PM.   The shop itself is small - rectangular, classic and clean decor inside - there's a carved statue by the door that reminds me of a something classical Greek. They sell tea, candles, room sprays, and eco-friendly shopping totes in addition to macarons and chocolate. Once I finally got to order, I was afraid they were going to be sold out, so I bought at 24-pc. box of macarons - all 14 available flavors and a few doubles.  I had to make that wait worth it! I think each piece is $2.70(?) ou  also carry the larger size macarons like those of Payard in SoHo/W.Village. $20 for a 6-pc. box. For other sizes, you need to ask. You can pick the color and style of the box - round, rectangular, square, and pretty ribbons. You don't have to get a box - just another option. It's only been a few days since Ladurée has been in NY, so I cannot say whether or not there will always be a long wait, however if you are patient and wiling to wait ( or pay someone to wait in your place, haha) then I highly recommend you try this petite French masterpiece. I was extremely satisfied if not more thrilled than I was before my purchase.   I've eaten macarons at La Maison du Macaron, Francois Payard, and La Maison du Chocolat and Lily O'Brien's many times as well as at a few Japanese bakeries and Greek ones in NY, but I think the best are at Ladurée. I hope that they'll set up a pastry chef here soon, so the macarons won't have to be sent by ship daily from France. *** My favorite flavor is the Cassis Violette.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.091979167; Sentiment_Subjectivity (from 0 to 1): 0.413489583 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a few beers, sat outside with my wife -- felt pressured to order food by an impatient server at a table unsuitable for more than a drink. Only cash!  And there's an ATM machine inside!  Very tacky indeed. Owner spent all this $ to fix up the place and won't except cards. Poor business plan and vision.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.025; Sentiment_Subjectivity (from 0 to 1): 0.44375 [/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: If you like BBQ and good whiskey you will have found heaven in Fette Sau. The Boy and I decided to trek out to Brooklyn because he'd been craving good BBQ for a while now. Both of us were Fette Sau virgins but aware of the hype surrounding this place. By the end of our dinner the only thing we were disappointed in was the inability to finish all of the food on our plates. The atmosphere is exactly how you'd expect it to be for a smokey market style BBQ joint in Williamsburg. It almost feels like you're in someones wood cottage, complete with faux fireplace. We rolled in on the early side (about 6pm) on a Thursday so had no issues with lines or grabbing seats. Thursdays are also Fat Pig Thursdays and the day the Pittmasters breakdown a whole smoked heritage pig! Yummmmm! Sorry Wilbur. If you like BBQ you really can't go wrong here - brisket, pork belly, ribs, pulled pork, everything was excellent (in that order)! If you don't like BBQ then I really don't even know why you're reading this review and considering going to a BBQ joint... The burnt-end baked beans are just as good as everyone says they are! probably the best baked beans I've ever had in my life. German potato salad and spicy sausage are both excellent too, I like my sausage spicy (that's what she said). There is a solid draft beer selection and a top notch whiskey selection. Really the most important piece of advice I can give you: COME HUNGRY!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.292613636; Sentiment_Subjectivity (from 0 to 1): 0.538636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Let's start with the food - beautiful presentation but most importantly, highly enjoyable consumption experience!  The flavors were amazing - the perfect amount of sauce and flavor in each bite - not just salt+butter fare like too many restaurants these days!  The texture of each dish was just right - the crispy red snapper was moist and cooked to the exact point where it wasn't overdone but also not under.  The crisp was so unique in that it wasn't fried but had light crunch I-don't-know what deliciousness going on in each bite.  The sauce it was served in was slamming.  They started us with a piece of slate with 5 bite side appetizers and each one was unique and delicious.  My husband enjoyed his sea urchin quinoa dish greatly, as well.  Although the waiter suggested we order 2-3 dishes each, as the portions were small, we found that we were pleasantly full after dinner (not gorged and exploding but comfortably satiated with no room left for the Little Italy dessert we had originally planned for).  After dinner, they brought us a plate of 6 mini desserts (teeny like the circumference of a quarter or so)- a piece of cream filled chocolate, green tea cake and macarons.  AMAZING. Next, the atmosphere and service.  Beautiful clean restaurant with white chairs tables and booths - modern yet comfortable.  The serving ware was beautiful and each dish was unique and interesting.  The espresso cups are so interesting - we will have to find something similar for our own home!  (The espresso was strong and had a smooth flavor also).  After dinner, they brought our dessert out with a small bamboo pot with a flowering plant in it - so pretty!  The staff was remarkable - not stuffy or pushy at all (though at these prices you would expect that in NYC) and they weren't outwardly disappointed when we didn't order any wine/alcohol as we don't drink (the way so many NYC wait staff shows their obvious disappointment at the smaller bill). When we arrived, the waiter asked if it was an occasion because we looked so well dressed (compliments work ;) and I mentioned it was my bday.  He asked my name and the spelling to make sure he could pronounce it right and when our menus came out, they were headed by "Happy Birthday Sakeena!" literally printed on the top of the menu.  It looked totally part of it (not crudely stamped on but actually printed onto the formal menu).  Big win!  and I got to take home the memorabilia.   I'm not usually that into spending this much for one dinner, but it was so totally worth it - for the memorable dining and wonderful service. My husband called the presentation "impeccable" and thought it was totally worth it (and he was the one paying so.. :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.354945055; Sentiment_Subjectivity (from 0 to 1): 0.613235653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dynomite!  Good food and a great beer selection. Friendly staff and a back patio.  Too bad I don't get to Red Hook that often because I would live there during happy hour.  $2 Yueng Ling drafts!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.288920455; Sentiment_Subjectivity (from 0 to 1): 0.502083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overrated. TriBeCa has better Italian restaurants (food and service).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.25 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best italian meals i've had so far. the food is flavorful and the service was great. The outdoor area is fantastic.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.46; Sentiment_Subjectivity (from 0 to 1): 0.59 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A very interesting and satisfying restaurant, and probably my favorite Chinatown spot. Huge menu, cheap, spicy spices, pretty good quality ingredients, definitely dirty, what more can you ask for? Wanna watch sweaty chinese guys in Hawaiian shirts chop, boil, and fry with Tchaikovsky ballet-like grace while you sweat out some intoxicatingly delicious Szechuan curry at the same table as a bunch of strangers? Me too. Go.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.358333333; Sentiment_Subjectivity (from 0 to 1): 0.689583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really wish I knew about this place earlier. There were so many times that I wanted to grab something quick to eat around Penn Station because I missed my train, and this place is perfect.  It's 5 blocks away and has the best katsu curry for under $10. Plus, there's a huge gorilla. I make it a personal goal to eat at places with scary animals as mascots. One minor comment is that they tend to give more rice than curry in the single size and then too much rice for the large.  There lacks this middle ground and you wind up having this terrible feeling of wasting food or wanting a little bit more. I wish they would give a balanced amount of both by making a bowl shape indent into the rice and then pour the curry in the center to fill; then cover the cutlet on top and pour more curry on top of that. Then you can imagine it's like mashed potatoes and the carrots are little men running away from the delicious curry lava volcano explosion.  It would be the most delicious death ever. I mean... the food is good. Go try it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254953231; Sentiment_Subjectivity (from 0 to 1): 0.522512755 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 what real BBQ tastes like. I would've given 5 stars, but the band that was playing was so loud that we had to scream so we could all hear each other. Portions are large. We ordered a family size for 6 people to share, wings and an extra side of mac and cheese...and we couldn't finish it. Saved leftovers for lunch the next day :) The Mac & Cheese was awesome and so were the mash potatoes! We had to wait about 45 minutes for our table on a Saturday night. It was alright since the food was so good. Service was great as well. Atmosphere is great for a group of friends. Large drink selections!! See you guys soon again!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.383984375; Sentiment_Subjectivity (from 0 to 1): 0.544345238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On my quest for the perfect ramen, this comes pretty close. Still a fan after multiple visits.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a review of Carlo's tasting menu - full thoughts in my blog with highlights below. Starting with a bit of back story, I'll admit I would be lying if I claimed to have discovered Roberta's on my own - the blog whispers had become a hum even prior to my February visit to the Big Apple and the moment I heard I would be returning to New York in March I made contact about the restaurant-within-a-restaurant experience from Chef Carlo Mirarchi.  Pleasant and prompt my first e-mail was handled by Cherie Burnett and the "rules" were explained - 3-4 people, arrive by 5:30, and $140-$160 per person - simple enough, I'd say.  With a date agreed upon I'd never hear from Cherie again - from this point forth it would instead be a back and forth string of e-mails between myself, my co-diners, and Chef Mirarchi himself discussing likes, dislikes, and so forth - an impressive display of customer service on par with past experiences with restaurants garnering three stars from Michelin. Course 3:  The first of many breathtaking courses of the evening - on the surface somewhat surf n' turf, but far more subtle and complex.  Centered by a perfectly seared (IE caramelized outside, raw within) Diver Scallop caught and shucked that very day, the sweet bivalve was balanced with a shaving of headcheese - gamey, unctuous, and fatty.  With the duo tasty on its own, the true beauty of the dish was in the details - specifically a slice of red onion and fresh squeezed tangerine juice that lent an acidic and sweet levity to the whole plate and acted to meld the two proteins into a stellar bite. Course 4:  presented by Carlo as his favorite of the night - he even took time to show us a picture of the fish pre-filet on his Iphone.  Presented as Sea Perch with Ramps, Yuzu, and Firefly Squid the fish itself was mild and buttery with intensely crispy scales that particularly thrilled my co-diner who'd noted just the night before that he loved crispy skin on his fishes.  Paired with beautiful early season ramps, tiny squid with plenty of bounce, and sweet lemon tones the dish was fish done right - the sort of thing you'd expect to emerge from the kitchen of Le Bernardin, or given the crisp skin perhaps Guy Savoy. Course 5:  Still wobbly and extremely creamy, Poached Duck Egg with Morels, Dill, and Bread Crumbs was all one could desire from an egg dish and given the accoutrements a perfect entry to spring.  Served with the whites barely set and creamy yolk pouring forth with minimal pressure from the fork I loved earthy fiber of the morels, the crunch of the bread crumbs, and the faint accent of the dill - again, no special tricks, just an exemplary preparation of quality ingredients. Our tenth course of the evening was an encore to the seventh - the rest of the Squab, feet and all - served with Mascarpone, Gooseberry and Sorrel.  Crispy skin, rosy flesh, a thin ribbon of fat - the squab breast was perfect and the legs surprisingly meaty.  To be fair I honestly don't remember the rest of the dish all that well - probably because I was too busy eating the leg by hand, something I'm rather certain I've never done during a "tasting menu" before but felt entirely justified (and comfortable) doing at Roberta's. Course 12:  Presented first in its raw state at the beginning of the meal, then whole-cooked, and finally plated, the 80-Day Dry Aged Wagyu with Fingerling Potatoes, Sweetbreads, and Ramps was nothing short of a revelation.  Ignoring the potatoes, sweetbreads, and ramps - all things I love and all prepared exquisitely - the Wagyu itself was hardly "beefy," the flavor instead somewhere between butter, mushrooms, and nuts while the texture was literally melt-in-the-mouth - the sort of meat that could be cut as easily with the edge of a fork as with a knife, and a portion so generous that my dining partners took a good 6 ounces home.  In a word, it was perfect - the sort of dish I will remember for a long time to come not only because it was delicious, but because it challenged and changed a long held belief.   Sitting and sipping our coffee while chatting with our server and later with Carlo I was perhaps at my happiest - full of great food and drinking coffee with friends while listening to Led Zeppelin in the presence of a gracious host - a moment, much like the meal, that I won't soon forget.  With the bill settled - a veritable bargain at $160 per person - and Carlo walking us to the door it was a quick trip via Subway back to Manhattan with much chatter about the wonderful experience just passed - an experience I can't wait to revisit on my next trip to New York and an experience I would suggest anyone who values great food and great people check out for themselves before the "secret" that is Carlo Mirarchi and Roberta's is out and reservations become unattainable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.280455008; Sentiment_Subjectivity (from 0 to 1): 0.578161653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 down in the financial district yesterday for a  training session.  Afterward, I had some time to spend.  I went to the library and after I got out I saw this bar. I  had never been in here. I walked across the street to this bar and saw the sign for the happy hour specials. I went in and the place was packed with after work crowd.   I got a seat at the bar and ordered a Coors Light draft.. They have 21 beers on tap, 4 in cans, and 15 in bottles. The bartender was nice, professional, and friendly. The crowd was very animated but friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.299382716; Sentiment_Subjectivity (from 0 to 1): 0.487654321 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is so awesome from the ambiance to their signature dishes.  The tempura butternut squash is to die for as well as the seafood Frito Misto!!!  I loved it so much I requested to speak with the chef.  To my astonishment he took the time out to make sure all was well.  I'll definitely recommend this place to anyone and everyone.  Thanks Chef Bustillo!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.465104167; Sentiment_Subjectivity (from 0 to 1): 0.598148148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and service really awesome here. Last ( Saturday ) night was super busy and the kitchen had trouble getting everything out at one time; food replaced and manager kindly offered a round if drinks and dessert. Otherwise a great experience. Highly recommended if you like Greek food. Get the octopus app, MP salad apps. Bronzino was awesome as was lemon chicken. We'll be back soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.23025641; Sentiment_Subjectivity (from 0 to 1): 0.521025641 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had the white cheese and avocado sandwich. Absolutely delicious with the hot sauce and jalapenos. As you can tell I love spicy food...this sandwich was already good to begin with and adding on the spices made it EVEN better!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5125; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Mexican food and this did not disappoint. We asked the waitress for her suggestions, ordered them, and were incredibly pleased with the food. The food tasted fresh and was seasoned just right. Service was amazing. Dinner decor was ambient. The burrito was HUGE and we ate it broken apart. So. Good. Seafood was done really well, especially if you get shrimp in anything. Portions were generous --we left happily with full stomachs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.299047619; Sentiment_Subjectivity (from 0 to 1): 0.562380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, Joe's has been renowned for its dumplings for years and I think Joe's been living off this for years .  Sorry, but I think even the dumplings are overrated.  Sure, it takes skills to make dumpling skin that is both thin and yet elastic enough to contain that much broth in addition to the filling.  But I'd take a little less broth if I could have broth that tasted better.   And with all the great Chinese food you can find in Chinatown/Flushing, I don't think it's worth the trek down here just for the dumplings.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.106944444; Sentiment_Subjectivity (from 0 to 1): 0.472649573 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was just ok, food wise.  I wouldn't come expecting anything nice beyond the typical Starbucks type of food. I had the portobello and spinach empanada, zucchini cream cheese and bread pudding.  All of it came too cold so we got them heated. I also had the white chocolate (unsure if it was a white hot cocoa or mocha) but it was pretty good. Stick to the drinks only, I'd say!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.203030303; Sentiment_Subjectivity (from 0 to 1): 0.668181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Already aching from the toll of taking softball batting practice and mini golf, we headed to Cafeteria for a little pick me up. Now as everyone knows, I am a fiend for chicken and waffles, but I just never had it here. Up until last night. And I must say, it was just okay.  I stupidly forgot to specifically order the chicken in white meat, because I despise dark meat. Give me a breast and two wings, that's how they did it in the olden days. But alas, I was stuck with a breast, a thigh and a drumstick. The drumstick I abhor so I just gave it to my friend. The breast was okay but a little dry. The thigh I didn't even bother touching.  The waffle, however, was nice and freshly made and went well with the maple syrup. Let's face it, it's not Amy Ruth's but it was okay. And what's an outing at Cafeteria without a serving of the mac and cheese spring rolls?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.005729167; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After years of hearing about his place, I finally tried it; and now I regret not giving a chance earlier. My experience was almost perfect! It was almost 1:00 in the morning and my Papito and I finished watch Joan River's documentary (funny as hell!); and walked-in into Employees Only; the front bar was packed and got scared that we had to wait for a table, but once we passed through the crow, we found the tiny dining room area on the back; and there were some tables available. The staff directed us to a corner table and we just went for the ride... Let me say that I had probably two of the best cocktails I ever had in the city. They were amazing. No wonder why they are the "hottest" mixologists on the city... I can't wait to try their other venues. The food was above expectations. For a bar, sceny place like this, I wasn't expecting such good food. We had the Avocado Crostini and it was just a great for a bar dish, tasty! I had the Arugula & Shaved Fennel Salad as a main; and that was just great as well.  Papito had the La Frieda Burger and he found that good too.  And by reading the other items on the menu I could say that there's some European influence on it, but everything looks appetizing. How to describe the place? It is not a big, this place is not for large groups since tables are tiny and very tide to each other (romantic in a way). I would say that is mainly more for couples and singles hang out. The room bar has about 15 tools and some tables against the wall... there are three bartenders on duty pouring drinks for the thirsty ones. The back dining room has a glass roof which give the impression that you might be outside; but without loosing the speakeasy-esque of it.  I want to see this duting daylight; maybe for Brunch! The crow seems young and professionals, and New Yorkers for what I can tell. And some were kind of horny and aggressive... The staff was very nice and friendly and sexy in way! I not only recommend EO, but definitely will be back!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2508704; Sentiment_Subjectivity (from 0 to 1): 0.502286255 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 coming here for years and am happy it got recognition on the Food Network, for I do believe it is one of the best finds in Jackson Heights. Now the main problem is the wait to be seated and food orders to go, has doubled. Good for Rincon.  Bad for the hungry patrons.   Either way, this restaurant is worth the trip and wait . . . just don't go there starving! Calling in orders ahead of time is best so the wait is minimal, because even after you're told how long your order will take, you'll still have to wait 10/15 min.   Maybe the wait wouldn't be so painful if they started taking Visa and MasterCard. :-) I'll be back soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249305556; 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've been here a few times in the past where I have had their steaks which were good, but as previously stated are not the best to be had in the city or Lugers. However I went in the other night, wife out of town and just sat down at a table by the bar and ordered an Old Speckled Hen and the the Black Label Burger with a glass of red. Having heard that the burger is quite filling I opted out of any appetizer. Well I must say that the burger was indeed excellent. I will not go into the ingredients, preparation etc...suffice it to say that it is worth the price and should be tried by any meat or burger lover. The fries were good however their prep at Balthazar for fries is better and I don't know why this would be...still good. Next time I would order an appetizer as I actually thought the burger was kind of on the small side, could have eaten at least another half and I am not a big eater, or maybe it just was THAT good. After my dining neighbor from Germany finished his two appetizers, he just had to order one as well and concurred that it was the best burger he ever had as well. Finished with a cappuccino. The restaurant is a bit claustrophobic. Little Stevie loves it and says hello.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.176228632; Sentiment_Subjectivity (from 0 to 1): 0.374252137 [/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: My cousin is always talking about this place and now I see why. They took my friend and I here for dinner while I was visiting in New York and this place is perfect. Being from California I am no stranger to Thai food so I know what I am telling you when I say the food was perfect. The most amazing thing about this place are the prices. Everything was priced so low. This same meal in CA would cost me twice the price at half the portion. The ambiance of this place is also perfect. We ate out on the back patio and it really was a perfect night.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.439141414; Sentiment_Subjectivity (from 0 to 1): 0.55385101 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hate to jump on the bandwagon but the crunchy tuna is delicious! I'll definitely be back to try the other sandwiches and salads. Only thing is, it's a bit small (but cozy), so space won't always be available because there are just a few tables and bar stools. 10-15 min wait around lunchtime, but hey, this place is a gem in midtown for some good food so wait is worth it. Bingo found my new lunch spot!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.082954545; Sentiment_Subjectivity (from 0 to 1): 0.506628788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since my original review, I have eaten numerous lunches and dinner at VQ, as well as frequented VQ for a quick bite or coffee on a number of occasions. Simply put, VQ gets it right will a high level of consistency. For an UES (Madison Ave., no less) establishment, the atmosphere is casual, the crowd a nice mix of fantastic to regular folks, the staff attentive and friendly and the coffee about as good as it gets. I've raised my rating to 5 stars - not in the 'Daniel' 5 star sense - this is a coffee and lunch joint - but if you're in the area and want a bite to eat and a great cappuccino without any pretense, try VQ. You will not be disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.20389881; Sentiment_Subjectivity (from 0 to 1): 0.599569597 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hours are awesome. It's opened late for midnight snacking or midnight grocery shopping ;p Great prepacked veggie and meat dishes! I think that I'm one my way to being a Woorijip elite miles gal! Haahaaa; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.566666667; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bar in Greenpoint/Williamsburg! Great atmosphere and a big selection of beers. Spristzenhaus is the most sociable bar I've ever been to. There is a great sense of community even though the majority of us moved here from other parts of the world. Love the dining hall style seating areas, no booths and small tables mean the place is one big social house. And you can play jenga! Huge islands of beer on tap featuring many German beers and other great brews! Beers are on the more expensive side average $7-8 per glass, although they are damn good beers served in their original glasses. Food options are limited to pretty much fries and bratwurst. Not a place for food, but definitely a place to drink! I used to come here every weekend with friends, and now all my friends are bringing their friends here!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.241309524; Sentiment_Subjectivity (from 0 to 1): 0.477880952 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a much over due review! Hands down some of the best empanadas that I have ever had! It's become such an addiction i am here atleast once a week and I live like 20 minutes away. I've tried almost every single empanada they have and can not say a bad thing about one. There desserts are also really really good and cheap!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.145312951; Sentiment_Subjectivity (from 0 to 1): 0.434484127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had been meaning to try this place.  The place itself was not very pub like more like a big airy restaurant.  Good thing.  It was packed on a Sat night but we were seated immediately.  I had the kimchee ramen - pretty good and my bf had the regular ramen.  Both good.  Had a roll to start.  Also good.  Love that they had cocktails too.  Service was ok.  Wo ordered, got our food super fast (would have appreciated some time between the roll and our ramen) and left.   Definitely not a destination joint.  Good neighborhood place.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.346078431; Sentiment_Subjectivity (from 0 to 1): 0.467269985 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After a week in NYC with all this mediocre no identity  fusion food going on, FINALLY a proper traditional Italian restaurant. NYC taste 10/10 (back in Italy would be 8.5/10), service 10/10, and people there were polite too with a smile and happy to attend. When we paid, they brought back the change without asking us whether we wanted the change or not (like they did in Lombardi's the night before - rude). We got the meatballs to start with, a salad with pear, a carbonara and a spaghetti al vongole. Pasta cooked to perfection as I asked for al dente. Tiramisu was nice, I prefer mine at home as I cook a lot. Montelpuciano d'abruzzo served in crystal clear glases in perfect temperature and tasted like the one I usually have in Italy and London. Atmosphere was lively meditteranean and our waiter (he had a moustache) was a typical european Italian tempered guy, asset to the restaurant.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.101158645; Sentiment_Subjectivity (from 0 to 1): 0.42254902 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok...So, I might be hated by all my fellow yelpers for this review...But I have to speak the truth...This past Saturday, I went to the meatball shop with three other people. We were told 2 hour wait...which I expected.. So, I left my number and we went to have few drinks near by. Two hours later on a dot, we came in and were told that we are next. We ended up waiting for another 45 minutes..So, overall wait time, 2:45 minutes....A little much...On top of this, the bartender threw two of us out of our seats at the bar as they need it for people who were gonna eat at the bar..  I felt that he could have been nicer about it...When we finally set down to eat, the food came out all on once...No apps, entrees..Just everything together..Also, they kept on bringing us wrong food that we did not order.. We had to order my husband's dish three different times... The food.. I dont know..It was ok...we had their special slider, beef meatball hero and some polenta with spicy pork meatballs, as well as the rigatoni with spicy meatballs and spicy tomato sauce. I liked the hero but at the same time, I think my local pizzeria will have the same hero and without the three hour wait time. I do have to say that their ice cream sandwich was divine. I would get that again and again but at the take out window. This place is cheap, so maybe if you are in the area at 3 am ( the place closes at 4 am) and you are hungry and only have 20 bucks and there is no wait, then go and eat but other than that, I would not recommend it. Sorry for hating....but I cant help it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.043436508; Sentiment_Subjectivity (from 0 to 1): 0.428412698 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Spam</s>