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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What do you do when this has been on your list since it has opened? Go check it out quickly, before it blows up in everybody's faces....  Andy Ricker made his special appearance on Parts Unknown.  This is your cue to think..."OH NO... MUST GO" before you'll never be able to check this place out.  so one rainy day after work, we know we had to make the trek out here.   It didn't disappoint.  This place is pretty much a no frills type of place.  Don't expect pizzazz.  We waited, but really no more than 10-15 minutes... hence, we made really good timing. Andy Ricker makes good on his promise.  Authentic Thai food...and plenty of dishes that will make your mouth on fire.  The papaya salad was one of them... we added the crab imitation and it was spicy, salty goodness.  It put me over the edge just a tad bit.  Luckily we ordered a few other non-spicy dishes to round out all of the flavors.   We had ordered a fish, pork & duck leg.  The pork dish reminded me of South East flavors, particularly from Vietnam.  It's a pork dish that my mom would braise in a claypot.  The flavors and aroma are very similar.  The fish was also another clear favorite.  Crispy and  paired well with the sticky or jasmine rice.  We were greedy and ordered two kinds of rice.   The only dish that was a miss for us...was the duck that i totally could have done without.  it was too meaty... no other texture or depth of flavor except the meat and the sour mustard greens that came with it.  I'll pass for next time. I was too full to enjoy the mango sticky rice... the mangoes weren't in season, so not as sweet as i would have liked and made dessert really underwhelming.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.187746305; Sentiment_Subjectivity (from 0 to 1): 0.51091133 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ***3.5 stars*** Proprietor/Chef: Frank Prisinzano The cutest little burgeoning Italian restaurant in East Village ever.  Daily today specials making it a special treat for whatever night you plan on having a dinner outing there.  Appropriate sized portions here.. very straightforward and traditional entrees.  If you're looking for over the top, this restaurant is not it.  You can easily fit a few appetizers to share, or split many entree meals.  For appetizers, we opted for grilled polenta. Slightly over grilled, I would have liked the textures to be softer, but the oozy gorgonzola topped cheese was near perfection, so I didn't mind the firmness too much. For my entree, I couldn't resist the butternut squash ravioli.  It needed just a tad bit more seasoning, but I liked the buttery sweetness to the filling of the pasta.  The pasta was cooked al-dente. The prices are pretty reasonable, which matches the level of food I was expecting.  Great food, but nothing of high caliber or technique that will knock your socks off.  And still, I find comfort knowing that it is hard to be disappointed here. Caveat - cash only! Come on!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.189950397; Sentiment_Subjectivity (from 0 to 1): 0.514885913 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 having eating red meat about 5 days straight.. i should've given my body a rest and ordered seafood here right??  EH.... the carnivore in me decided to say screw it.. i'm going with the f*ing short rib burger.   that's not how you roll after watching an amazing performance by Zee Avi at the Brooklyn Knitting Factory...no, no.... you decide to go all out... and get yourself the burger.  it was somewhere close to midnight...we were the only two crazy girls eating..while everybody else was getting their "drink on" at the bar.   end result??  MEH.... utter dismay.  i have made better burgers in my life time... and trust me, my life span with eating red meat is very limited.   Walter Foods I had such high hopes for you.  So, so disappointed... my heart keeps sinking in this city they call Williamsburg.  I believe in second chances, but there is absolutely no way in hell i would venture out so far, so late....  unless my friends can drag me out here and convince me otherwise.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.005112782; Sentiment_Subjectivity (from 0 to 1): 0.530645363 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: stellar, spectacular little place .. wooden decor.. bookcases galore.  looks like you're stepping into something antiquated and a touch of cozy penetrates the mood for sipping on some wine.  charcuterie? in excess of yes please! i made the mistake of picking cheese that did not pair well at all with the red wine.  the cheese (blue, brie) was way too pungent and strong.  the pate was excellent as was the cornichons.   the place can get ridiculously crowded but fleeting past midnight.  your one stop shop before really getting the night started... it's nice to know these places exist!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.170192308; Sentiment_Subjectivity (from 0 to 1): 0.514102564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars. if you like taxidermy and all that jazzes....this restaurant is for you. as old as this restaurant is... i can't believe it's taken me this long to check out this restaurant.  the review is strictly for brunch only.  a gf & i got two very simple egg dishes, but they were done very well. -Poached Eggs with Roasted Tomato cheddar cheese grits & buttered toast -Skillet Eggs, Bacon, Spinach and Gruyere buttered sourdough toast the problem was...the portion was just a bit on the tiny teeny side.  which was fine...that meant we ordered fries on the side... they were salty and we inhaled them without a problem.   though everybody raved about the artichoke dip.. we didn't get it, cuz' my friend wasn't a fan of artichoke. i am sure it is good.  when you stick gooey cheese to anything, surely it it tasty.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.216666667; Sentiment_Subjectivity (from 0 to 1): 0.582451499 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like unassuming restaurants.  the restaurant was fairly empty when we got there, but quickly filled up (reservations only)...and still was able to maintain a comfortable, low key environment, where conversations could be carried and banter and laughter continue to linger.   We are off to a good start. Despite the anti-tasting reviews.... everything we pretty much wanted was in the tasting menu...so we decided to go for it.  The add-in was the foie gras soba noodles.  BEST & Worst decision of the night.... It was only bad because we were so stuffed, i was basically over-eating.... BEST decision, because it really was one of the best dishes of the night.  Excited yet?   I'm not going to list out the tasting menu....but just highlighting my favorites.  The tasting menu itself was a 4 star... will order a la carte for next time.   The uni croquette was outstanding.  A ball of gooey mushroom goodness, piping hot topped with a savoring uni.  It was over too quickly.  Double "wow" factor.  Sounds so simple, yet execution was on point.     We did not order the miso cod...sounds like we should have.  Instead, the fish supplement of the night was the branzini.... it looked like one whole piece of fish, so strange that they would call it a branzini instead of a branzinO... i'm not arguing... it was so good, skin so crispy, pot of crispy vegetable medley.... OMG... i want more. Washu short rib sashimi - come on now.. everybody needs to eat raw meat once in a blue moon and this dish was definitely worth IT.  glad the pieces were moderately small.. just enough to want you coming back for MORE...  Butter.   by the time we got to dessert... i was so full, I couldn't stomach any more food.  i didn't care for the panna cotta..which was completely fine...or else i would have exploded.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.209855769; Sentiment_Subjectivity (from 0 to 1): 0.5046337 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tea....but prefer coffee.  but if i must pick. within the realm of tea land.. definitely hands down Japanese and green.   Cha-An offers an exciting array of all kinds of tea: green, black, oolong... unfortunate for me, i was not in a tea mood... therefore, sparkling wine sufficed.  This place is like the gold to my sunshine, day or night.  night or day... cutting to the chase... i came here because a gf recommended it based on her 3 course heaven dessert here.  while i wasn't in the mood for such extravagance, my ears perked up in interest when i heard black sesame creme brulee.  this is probably my favorite asian dessert ever... so i decided this place was a must try. yum, yum, double yum!!  while the actual creme was my least favorite part, put it all together, with the black sesame chip crunch, textured black sesame ice cream, smooth creme...you've got yourself a sweet killer combo, without overkill on your sweet tooth.  dig it? did i try the jasmine ice cream? damnit, NO. but that just means i'll have to come back, now won't it? post review, i'm craving black sesame all over again. *sigh.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.011555556; Sentiment_Subjectivity (from 0 to 1): 0.442222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: amazing food.  Loud & lively atmosphere. interesting cocktails served in cute little mason jars.  the 2 hour wait for 2 people was a bit ridiculous... BUT we enjoyed everything we ordered. i would have given maybe 5 stars if not for the ridic. wait.   which includes: -radishes with sea salt & butter  .... if you haven't jumped on the radish bandwagon, now is the time to do so. -charcuterie ... came with prosciutto, spicy chorizo & sopressata served with a side of delicious warm and crusty bread.  Damn, why am i eating bread when i just ordered pizza & pasta?  no such thing as carb overload. -orecchiette pasta with braised goat... pasta perfectly chewy, spicy & the goat was awesome.  I would order this again for sure.   -margherita pizza ... the crust was soft and chewy.... while the pizza was salty, gooey with mozzarella and chili oil was just over the goddamn top. (SO GOOD).  the pizzas are their specialty here...not to be missed.   MMM, mmm & mmmmm.  Once you get seats here, the vibe is pretty casual and rambunctious.  Live it and enjoy it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.357233045; Sentiment_Subjectivity (from 0 to 1): 0.724074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: so maybe i haven't been to all the top restaurants in NYC yet for Italian (babbo, del posto, marea, etc), BUT.... in the meantime, scarpetta still holds the number ONE spot for italian food in my heart.  simply put.   i've had fantastic service, consistently top notch, high quality food.  my experiences here are bedazzled.  the ambiance couldn't be more attractive.  i love the people who work here and i always leave super full and satisfied.  for the spring/summer weather, they have tables outside for your enjoyment. things you need to know now: creamy polenta is cheesy, creamy, smooth amazing. the best polenta in the city hands down. Spaghetti - chewy udon like texture.  tomato basil delight. also the best i've ever had. spare ribs - so soft...they melt in your mouth.   If you like tropical, light desserts, then you will enjoy the guava coconut panna cotta.   i've been super lucky to roll right in without reservations.  SCORE!  has the hype finally died down? Maybe, but the food is still kick ass. Consistency is key and hands down to Scott Conant for maintaining that.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.289671593; Sentiment_Subjectivity (from 0 to 1): 0.56090312 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hasn't already said about woorijip? FAST KOREAN food to go. everything is prepackaged, so all you have to do is pick and choose what you're in the mood for.  I opted for the spicy squid & rice. delish!  they even sell alcohol here... they have cute individual portions of wine, so you can drink it on the streets...but obviously be discreet about it.   this is the only place where fast food is the exception! oh and maybe boston market.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i was really in the mood for udon... soba-ya actually offered udon noodles....but i don't think they were freshly made.  If anything, this place is suppose to be known for their soba.  So the choice was pretty clear...i just HAD TO try their soba noodles! Disclaimer - I don't ever typically order soba noodles...I'm more of an udon noodles type of gal, but i'm always up for anything new and will try anything once.   I ordered the soba w/ tempura.  While the noodles were super fresh & the soup was light & consistent, I thought the tempura lacked flavor.  I think a pinch of salt would have done the trick.  Overall, I liked my soup a lot.  No complaints.   However, soba noodles aren't my thing...so I'm going to have to try their other dishes.... I don't think I'd be craving this anytime soon, unless it was udon noodles.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.217180736; Sentiment_Subjectivity (from 0 to 1): 0.46758658 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: fantastic bloody marys. delicious brunch options (we got a little bit of everything), from the gooey strawberry donuts, to short rib hash with eggs to classic scramble with sausage and hash browns!  the hash browns were crispy and out of this world. totally worth the trip to BK. surprisingly, the only thing that failed was the buttermilk biscuits themselves. i expected soft, flakey, warm..... what we got in return was dry, rock solid biscuits with a bit of grease.  yeah, don't think we will be ordering these next time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.103385417; 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: saxon & parole is home of the old double crown.  which i liked... more so the scene and drinks than I did for the food.   probably one of the few restaurants i am quite fond of... if i frequented here enough, it can possibly be one of my top fave restaurants in the city...but too bad I have commitment issues, and always looking for the next best thing... the cocktails are amazing here...and is a must.  the bread is warm and inviting, as is the butter that accompanies it.  and i don't even like butter all that much.   for dinner, we decided to share the burger and order appetizers to share... best idea yet.   For apps: Brussel sprouts, with bacon, poached egg & hazelnuts.  This was probably my favorite thing here... the leaves were crisp, the poached egg made it creamy and delectable, the bacon made it salty and the hazelnut gave it a bitter crunchy... Texture wise, i was in heaven.  I am all about textures and this had EVERYTHING.   Bone marrow - quite rich....which is the epitome of what it is...but it wasn't so much the taste, it was the portion.  REALLY big.  I think we needed 2 more people to help us finish it.  The marmalade gave it some bitter sweetness which was nice.   The portobello mousse with whiskey jelly and some truffles... this was beautifully presented in a pot...served with thin slices of toasted brioche.  This was also amazing..... The burger was good... it was topped with a fried egg...so it was very messy to eat..  pretty good though...... Overall, the menu is very extensive.... and i like the concept of getting appetizers (small plates) and just sharing to get a taste of heaven.  AND there is no way you can go here and not drink.  Sorry, but the food here is too amazing to not pair it with a nice glass of wine...or their fantastic cocktails. the space?  it's deliciously spacious... upstairs...downstairs....and the restaurant is attached to its gin cocktail bar, Madame Geneva.  It is decadent and abundant in space.  A lot of equestrian like decoration, (hence the name).... but I don't mind it... it's got a modern bumpkin charm... which doesn't come frequent in the city.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.284285714; Sentiment_Subjectivity (from 0 to 1): 0.579444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Keith McNally is a great restauranteur in NYC. With that being said, he delivers compelling experiences in most of his restaurant.  Balthazar is no exception.   With that being said... Balthazar is a bit over rated, just my opinion.  The wait is too long...and the menu is a bit pricey... but you are guaranteed to be brunching in "style".  Balthazar is a bit pricey, but most of his restaurants are pretty nice...and creates a "nice" social buzz.   I do like the bread basket..but for $18?  Eh, I don't love it that much.  French fries are pretty memorable here...other than that, there was nothing really comforting or homey about my food.   Again, if you want an "experience" this place is for you. I guess since I've already "been here, done that" I am pretty much done with this place too.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.348809524; Sentiment_Subjectivity (from 0 to 1): 0.601190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 southern comfort food... and amazing service.  as the name implies, you can get pretty much any vegetables pickled...  (plus, you can order them to go and they come packed in mason jars.. what a bonus.) review is for their brunch only... no frills... simple, classic southern dishes.  any restaurant that serves GOOD fried pickles has my stamp of approval.  Their biscuits are also amazing.   started the day right with a B.L.T. bloody mary.  This thing had a piece of Niman bacon and a pickled jalapeno half hard boiled egg... the level of spiciness was just right.  Served proper in a mason jar.  This thing screamed, drink me, drink me now before you have no appetite for regular food! (yeah right....).   Because of this monstrosity of a drink...i usually only need to order the biscuits and sausage gravy and don't need eggs to go with it.  Half my meal can be found in the bloody Mary.  Their biscuits and gravy is so addicting, weeks later i salivate dreaming of the next time i would be able to come back and eat it.  There was a second option of gravy, which was the mushroom, but seriously, if you are not a vegetarian, why in your right mind would you not be content with sausage gravy?!  simplicity is key.  oh and really really really good biscuits.     Our two appetizers came after our entree and the manager was kind and polite enough to come over and apologized and comped our apps.  So did our server... This was probably one of the best experiences we have recently in terms of great customer service. Super crucial to the ENTIRE dining experience.   OK, so even if you are NOT hungry, great place for drinks and maybe some fried pickles and biscuits for snacking on.   outdoor seating and open windows even extra bonus points.   alright, enough rambling. i think it's time I make a trip back soon!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.160132275; Sentiment_Subjectivity (from 0 to 1): 0.491153846 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 kale salad ever.  it's got sweet potato crunch, kale pieces both crunch & tender, sweetness of golden raisins, and overall just damed deliciousness.  It's money well spent.  Trust me. i was also skeptical of the vegetarian ramen...but i went with it and got roasted pork to top off.  the broth is deeply umami richi, as it is made out of kombu-miso,  All around delicious. the noodles were slightly chewy, and made of egg noodles, which is not the traditional wheat.   i could have done without the pork buns...a little too mayo-ish for me, and the pork was dressed plainly.  i'm used to the taste of bbq when it comes to these buns. the restaurant is pretty tiny and be prepared to wait...we got there relatively early, so the wait was only 30 min, so not bad at all.   solid eats in BK esp when it comes to good ramen, where evidently is too much of a shortage...considering the insane long lines everywhere!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.115376984; Sentiment_Subjectivity (from 0 to 1): 0.489186508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: having the desire to come here for some time now (for both brunch and dinner), but i never seem to make it as their brunch ends at 2:30pm.  This is considered early for NYC-ers!  Brunch is an absolutely treat and deserves attention past 2pm.  By the time i wake up and attempt to trek out to west village, brunch service is nearly over!  one sweet day, i mustered up the energy to wake up and not dick around one morning... I was predetermined to make it...and of course I did.   little owl is extremely tiny with an extremely long wait time.   started off with a glass of peach bellini, fresh peach puree you can count on.  coffee was so-so.  surf & turf tacos were OK, but I fell in love with their pork & veal sliders.  Delicious, juicy because of the tomatoes and tender & meaty.  I could have had 2 more and did without the cod & beef tacos.  then i would have been able to call it a day.   need to come back and try their burgers.  it looked fantastic...hope it tastes just as good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.26953125; Sentiment_Subjectivity (from 0 to 1): 0.5140625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: amazing Japanese food!  Ootoya is considered a "chain" restaurant in Japan... which may not say much, but any restaurant that opens in NY FROM Japan is warmly welcomed!  it's still considered authentic to me.   i have been here a handful of times now, and i think it's safe to say we are all drawn to the big glorious bento boxes here.  with your choice of main entree, comes with a watercress salad, egg custard, pickled carrots, cucumbers & hot miso soup.  it's a LOT of food.  i've tried everything from the beef tongue, to chicken tskune, salmon & mackerel.  all delicious.  my favorite is the beef tongue (OF course).  they even have brown rice...extra points. it's pretty spacious, but tranquil and pretty....as you would expect if you were in Japan and most other authentic Japanese restaurants in the city.  The wait can be a little daunting, so be prepared.. quickly becoming a staple, comforting restaurant!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.28245614; Sentiment_Subjectivity (from 0 to 1): 0.587280702 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: fail.  everything about this restaurant is a fail.  except if you're going for HH, and then maybe it's OK.... my first time here was for HH and drinking only...second time, wanted to try their food... i had higher expectations... food looked very bright, colorful and beautifully presented.. but somehow, somewhere, the food failed through execution. the meatballs were ok... not tender enough, and not cooked long enough for them to be tender....  all the hot dishes that came out weren't even hot enough.   and all the seafood dishes we ordered... geezus i've never seen so many things slabbed together on one small dish.  too many sauces, swirls, bits of chopped up pieces... the flavors just never came through, as if to mask the freshness of the protein that was originally intended for.  we, in fact, did not go on Tuesdays, where you can find half off all tapas...we were there on a weds... and paid full price.... it's NOT worth full price...let alone half price. their sangrias... mediocre.  come over to my house sometime and i'll show you what a real sangria tastes like.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.13154321; Sentiment_Subjectivity (from 0 to 1): 0.508024691 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: mm, mm meatballs.  the meatball shop definitely brings out the carnivore in me and i'm loving it. the menu & concept is very straightforward.  menu with several check boxes and erasable marker.  Just how do you like your meatballs?  chicken, pork, beef & vegetarian? check.  what sauce would you like on top, marinara, mushroom, Parmesan cream? check.  They will throw in occasional specials of the day. what do you like them on?  by itself, on a bed of greens, sliders, hero?  check all that applies on the menu.  Make sure to order a beer or wine, as their selection is not bad at all.   end with a treat... ice cream sandwich, with your choices of cookie and ice cream flavors.  i like my cookies soft & chewy, so i'm going to have to pass on dessert next time.   very casual atmosphere.  great bar seating, all other seats are very tight.  this place is ALWAYS packed.  good luck to you if you can score seats under an hour! ladies & gentlemen it doesn't get any easier than THIS.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.162834821; Sentiment_Subjectivity (from 0 to 1): 0.532155258 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *3.5 stars* this place was on my list of brunch eats...but instead I've come here to have lunch instead.  a little backwards, but i was pleasantly surprised.  i loved my sandwiches in both instances (ratatouille burger & croque madame topped with a sunny side up egg).  The majority of their dishes here are very rich.  I'd give this place a bit more hype, if their fries were better... but they were OK at best.  still crispy...but i like my frites thinner.  the dishes here are monstrous portions and very messy to eat.  Be advised to use a knife & fork please.  i'd come back here for the croque madame alone.  the eggs were lively orange and just oozing when i dipped my knife into the egg.  the warmth of the bread, ham & cheese made for a delectable, savory combo.  as for the burger?  i've definitely had better burgers.  no amount of ratatouille will mask the less than their grade fresh of ground burger.  they over cooked it a little bit as well.  i'll pass for next time. this place has a very quaint and quirky charm.  old school, wooden decor.  a great afternoon spot for a quick bite to eat. great selection of Belgium beers...and I will have to come back to try their waffles because no place is complete without breakfast... and looks like this place is more known for their breakfast & brunch than lunch!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254834456; Sentiment_Subjectivity (from 0 to 1): 0.46154321 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: a real dump in the wall.... but really good dumplings for dirt cheap.  you don't really see these prices anymore in the city.  equally impressive, are their cold sesame noodles is pretty good too....so cheap, you might as well order everything to get a taste.  my roommate says the beef tripe noodle soup was so-so....so i'd stick to dumplings and their cold noodles here. as with all things chinese...cash only.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.240909091; Sentiment_Subjectivity (from 0 to 1): 0.736363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: review is strictly for brunch... it was nice with a slight chill but we still decided to eat in their outdoor seating.  very pleasant wait staff.  cappuccino took a little bit, but when it did come out, it was very flagrant, light and not too empowering.   caferia looks very sleek, but everything (from the table to chairs) were white plastic.  a little tacky, but i didn't mind so much.  we were in broad day light... so it should match the elements of the sun.  i went with the salmon eggs benedict.  eggs were poached perfectly not as creamy as i'd like, salmon cured and salty.. and the potatoes and english muffin were crispy, just the way i like em.  the side of greens were a nice little touch, made me feel somewhat healthy, but we all know that's a LIE.   mmm... pancakes were fluffy and delicious here as well.  threw in some berries and believe they were lemon ricotta. average brunch place...left a little something to be desired..but cafeteria does remind me of a diner style restaurant.  and so, it shall be deemed as a little something around average.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.130942029; Sentiment_Subjectivity (from 0 to 1): 0.516485507 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want a way to sasse up your brunch plans, i'd say go to Public.   It's spacious enough to accommodate even the largest of parties...a bit loud at times, but just enough to preserve the social intimate conversations within your table and without being obnoxious.   nice touch of decor... i really REALLY like what they've done to the space.  it's got a lot of class yet still manages to be cozy and comfortable.   the homemade bloody marys were good... not great.  i've definitely had much better.. the strange, spicy kind that comes with anchovy... (don't judge).  i wish it had more of a kick to it in terms of spiciness and needed more depth. decided to go with the tea smoked salmon on a wonderful toasted (nicely charred) sourdough bread.  the poached eggs could have been just a bit runnier (1-2 minutes less) but the yuzu sauce was heavenly.  the venison burger would have been my second choice... but i would have liked it a bit more rare.   overall, food was solid and overall service was FANTASTIC.  the service sold me more than the food actually.  they even let me bring in my own bubble tea (without giving me shit).  But it's only fair....after ordering a bloody mary and ending it with coffee.   i would definitely come back to try their dinner.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.163596491; Sentiment_Subjectivity (from 0 to 1): 0.543421053 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: latest 'hip' restaurant to hit east village.  if you are looking for a stellar meal, high quality ingredients, cozy atmosphere, then The Eddy is for you.  the space is definitely a bit small, so close, you will feel like elbowing your neighbors.  The food and drinks is undeniably good.  The menu albeit small, is well crafted. It is constructed by small bites, small plates and larger entree style plates.  We ordered a bit of everything and shared.  Absolutely a no fuss place.   Crudo of scallop & the cuttlefish were really, really good and were the stars of the night.  It had all of the elements I was looking for, fresh, crisp, meaty, salty and satisfying.  Next on the list were the bacon tater tots and beef tendon puff.  Heavier and a bit saltier for sure, but they were good.  For entrees, we got the ribeye and it was perfectly cooked and seasoned.   Their cocktails are not to be missed... creative, inventive and delicious!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.27125; Sentiment_Subjectivity (from 0 to 1): 0.616481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: very pleasant surprise!  hearth is the kind of restaurant that is reliable on good food that comforts your soul.  the restaurant itself is a touch of class... you will feel as if you're sitting in front of a fire place from back home.  let's face it.. fireplaces in new york city, is not very common.  nothng over the top, and no surprises.  which is OK.  i don't need every other restaurant to be  new modern american cuisine... and they seasonal change their menu.... highlights - grilled quail with quail egg, served over farro and a few other veggies... delish... it was an appetizer portion, but i definitely could eat this as an entree if they just given me another piece of quail.  the farro gives is a nice firmer texture which I appreciated.   spaghetti w/ veal & ricotta meatballs.... pasta was amazing...chewy texture that I love so much (think udon noodles) and anything veal if properly cooked spits out tender bits of meat. moist and flavorful combined with the soft and delicate ricotta cheese.   i would come back for this dish alone.   impressed that such a restaurant exists in east village...but then again ... there are many gems in this neighborhood, even if there are a dime and dozen Japanese restaurants.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.231041181; Sentiment_Subjectivity (from 0 to 1): 0.433100233 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: still my favorite place for THAI food in the city.... great menu ... cheap eats and everything is beautiful in presentation.   went here for lunch for the first time, and $8 gets you an app and entree.. since there was 3 of us..we shared different types of appetizers.  papaya salad was OK, as was the fried tofu...my fave is the mushroom crunch, fried batters of mushrooms with sesame seeds in a jalapeno tartar sauce.   They are smoking HOT and poppin.  I would also recommend the PCU noodles... yes, it's a very sweet dish but Thai overall is sweet and spicy.  Noodles are chewy, and you can choose from organic chicken or beef...and the beef is slightly better than chicken... or go vegetarian route and add tofu.   Thai ice tea is a must.... it comes deconstructed, so you can add your own level of sweetness, creaminess... yummers! love this place... great deal every single time.  though the restaurant is small, the ambiance is guaranteed to make your heart sing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.283345865; Sentiment_Subjectivity (from 0 to 1): 0.662769424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just gonna have to say that this is the best pizza EVER.  ny style at its best.  grimaldi's ain't got nothin' on Di Fara. plentiful cheese... Dom DeMarco takes out the pie... and drizzles olive oil and cuts his freshly home grown basil to add to the finishing touches.  It's not the sauce that will get you ... it's the cheese and basil and that fine extra virgin olive oil.  And if you like spicy, he combines olive oil and chili peppers to make the perfect combo.   i can't get enough.  i'm saddened by two facts: 1) DeMarco will die with his recipes... he won't share with his son 2) Recently closed for a health code violation, but has now reopened as of November 23 after it passed inspection.   despite the past health violations, i will still come back for their deliciousness.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.336666667; Sentiment_Subjectivity (from 0 to 1): 0.355 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVE this place for brunch.  it's got space, it's got class without the pretentious feel.. wooden tables, oak rough floors, everything feels really homey. damn good popovers... stuffed with eggs, bacon and sweet dried tomatoes. it's like a modern twist on bacon egg & cheese.   bacon is crisply superb.   thick slices of banana french toast drenched in heavier maple syrup with fresh berries on top and caramelized walnuts.   this place rocks supreme and everything is beautifully presented.  can't wait to see what dinner tastes like!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.256666667; Sentiment_Subjectivity (from 0 to 1): 0.501666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: their grilled corn is amazing.  comes in a pair, drizzled with cheese, spices & a lime wedge which adds a nice citrus-y touch.  if i were to come back, it'd be for the corn alone.... the food here is mediocre.  had the grilled steak salad and my friend had their fish tacos.  neither dish strike as being fresh, which made the food so-so and our inability to finish the meal in it's entirety.  and if i were to come back, I'd opt for something else on the menu.   or rather...stop by their express next door just to pick up some corn to go.  i'd be solely content with this snacking to go. this place reminds me of a deli/diner style.... with an out of the country feel.  where tables meet head to toe and we all might as well be squished as sardines.  in an odd sense, it felt kind of nice (esp. with the a/c on...otherwise, my opinion would have changed).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.203333333; Sentiment_Subjectivity (from 0 to 1): 0.555 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wanted to take my gf out to eat pizza, cuz' she LOVES italian food and pizza..... based on the ravishing and amount of reviews here... felt it was natural to take her only to the best there is in town.  What comes next?  Lots of rain, growls, heartaches and major disappointment.   We ordered & shared the bruschetta, clam & margherita pizza.  Not only is it over-priced...but Lombardi's is OVER-RATED.  NOT good pizza.  Maybe they had an off night...but I've experienced waaaaaaaaaaay better pizza.  Clam pizza was better than the margherita pizza, but it was a little bit on the oily side.   I really felt like I was walking into an Italian "chain" joint.  Like an Applebees, or Chile.  I despise chain restaurants (however there are a rare few exceptions...)   I rather have Papa John's pizza, seriously. Maybe they were good from the very beginning, but somewhere along the hundred years that they have been open, they have sorely tanked in terms of quality.  Think I give a flying f*** when they opened?!  Think again.  Keep up with the standards..... If you've read far along, most of the reviews here say it's "ok"... you guys are being way too nice. "Ok" in my book is 2 stars or less... not deserving more than 3.  Don't be sucked in by this tourist trap!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.174137931; Sentiment_Subjectivity (from 0 to 1): 0.508045977 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 possibly contribute to the already astounding 800 reviews for a $6 chicken & rice platter or $4 gyros?!?!   For starters, it's dirt cheap for a pile of good junky food.  Awesome drunk food, but by my standards, certainly not A-MAZING.  Albeit, pretty damn close to it.  Let's also be clear, that it's not the actual chicken & rice, it's the white sauce that makes the dish. The hot sauce gives it an extra kick.  It's by far the spiciest thing I have ever eaten, but I handled it...and loved it.  Still, WHAT THE EFF ... baffles me that I am even giving it 4 stars... but there's no denying that this is good stuff. Of course, I couldn't gorge myself on all that food, so I saved the leftovers for the next day.  Here's what I conclude... this shit is greasy as all hell...and yet, it still taste good.  Yeah, must be the grease.  *sigh. In the wee hours of the night, there is a line..but they know how to keep it moving.  Hunger makes you jump on your feet like no other.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.146266234; Sentiment_Subjectivity (from 0 to 1): 0.653625541 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: you know it's your favorite wine bar.. if you come back twice in less than 3 days.... yes, you heard right... TWICE in a period of THREE days... this is the best thing that's hit up Greenwich Village... so seriously, compliments to Germain Michel and Samie Didda for opening up a second location in NYC.  (The original is located in SF). there is a bright charm about this wine bar with French flair written all over it.  First, it's more spacious than the usual wine bar and brightly lit than usual.  Both big pluses.  Happy Hours start at 5:30 and end at 7, with a fantastic selection of wines and a 3 flight tasting for $10.   Aside from raving about their fantastic wines (in fantastic big wine glasses), their food is worth all the hype.  notable: -foie gras terrine (BUTTER, BUTTER & MORE BUTTER...bloody hell, it was so buttery!) -chicken liver mousse (Best chicken liver mousse in the city.  Sorry, ABC kitchen... they got you beat) -escargot (juicy, buttery, delectable) -goat cheese ball with warm pistachio, honey & carmelized onions (melted in my mouth) -plentiful bread -cheese plate (with homemade pear sauce) things i could have lived without -steak tartare -mussels (good but not my favorite) Dessert -Valrhona chocolate molten cake w/ creme anglais (totally worth it) -Banana pudding creme brulee (not a fan of creme brulee but it was good) someday i'll try their main entrees...but i am a wine and appetizers only type of girl anyways....so this works for me just fine! this place is a fine curse... the only place i can allow myself to be full gluttonous and not feel guilty!!!!  i guess they bring out the best in me. and their service is impeccable.  like...you really know how to make a girl blush...impeccable.   Big stamp of approval in my book.  This place is definitely my favorite wine bar in the city...hands down!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25098775; Sentiment_Subjectivity (from 0 to 1): 0.540752243 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like when bees pollinate and produce honey... this place is frickin' sweet.   we didn't get the common dishes we were suppose to get here... as we were pressed for time... but i intend to come back to get their collagen, various pig parts, filled hot pot.  all that congeals and transforms like the kaleidoscope with each bite, i really only care about the very end.  i want the soup & noodles, damnit.  instead of comfort, i got small bites of sophisticated satisfaction.  i want more for next time. avocado tofu - soy meets cream for the richest, creamiest combo ever.  fantastico. tuna sashimi salad - the spicy mayo got me ...  fried bits of onion and fried garlic on top? double the pleasure. okonomiyaki - really tall, thick layers.  a bit too much dressing on top, i enjoyed the bottom layer more believe it or not.  less is more in this instance.  not too thin and crispy ... which is what i am use to.   chicken wings - automatically deemed LEAST FAVORITE.  the thing was fried with sesame sprinkles on top.  while interesting, i don't really like fried chicken.  (aside from bon-chon and I'll leave that up to them next time...)  the damned wings really ruined it for me... otherwise, this place is pretty darn close to 5 stars. Try their black sesame ice cream!!!!  I know seems generic, but it's pretty good.  I'm weak for black sesame, it's got such a  rich, nutty flavor.  Leaves me intoxicated every single time. Belly up!  I can get use to this ... next time, i've got my eyes on the tasting menu.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.113266975; Sentiment_Subjectivity (from 0 to 1): 0.496456257 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: we were in the mood to try something new for brunch... well, i was in the mood and found that bakehouse was fairly new.  Chef Philip Bonsignour creates a hybrid of comfortable space and bistro elegance that sits pretty near the far west side highway.  The bar is also very plush...so I can definitely find myself enjoying a few drinks at the bar. Had their truffle mushroom asiago and truffle omelette.  The waitress recommended it and considered it to be her top favorite.  It was pretty tasty, BUT... i wish there was another veggie ingredient added....like spinach or asparagus...SOMETHING aside from just mushrooms and cheese... I crave to be healthy .... vegetables damnit.  There was too much egg and not enough cheese.. In my opinion, there is never enough cheese and no such thing as too much.  Next time, I am definitely trying their eggs benedicte. blood orange bellini was fantastic...but the highlight and winner of bakehouse is... *drums roll please* is their "baked" goods.  We tried the apricot brioche after discovering that they ran out of the almond croissant.  AMAZING.  The apricot fresh, tucked underneath a smooth, light, clean tasting custard.  The brioche?  Buttery, soft and amazing.  The perfect combination of salty and sweet.   love the wooden decor...big open space...feels like you are in a cabin somewhere.  The bar is massively long... and the windows are big.  A fantastic view of the west side.  I'd just say it's a very far walk from any train...so stay cool in the heat.  But hey... I'm not complaining.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.243767404; Sentiment_Subjectivity (from 0 to 1): 0.571867322 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For the most part this restaurant was very good... We were by the kitchen, (last table all the way at the end) so we literally felt the heat... i wish we could have ate away from the kitchen.  It was a bit warm and stuffy for my liking. For the neighborhood, i would say that this restaurant is very expensive for the area.  Average price if you stuck it somewhere in NYC. the (warm) bread basket is phenomenal.  not to be missed. now, onto the food... i think depending on what you order, is a hit or miss. We generally enjoyed everything with a few critiques.  Let's get the bad stuff out of the way.... the lamb ribs, were in no shape or form, that impressing.  Our rack was oily, too sweet for me, and too fatty.  I would not order this again.   The octopus with chorizo was pretty good, but even better than that was the squid ink tagliatelle with peekytoe crab.  It was seasoned perfectly (usually i find this combination too salty elsewhere) and by far my favorite dish of the night.  My next second favorite was the lobster.  Which, was a half order (as most of their entrees were allowed to order half)... The cod was a half order, and the portion just seemed way too small.  It was good...nothing mind blowing. We over ordered a bit, and would have been fine without the lamb ribs (which came out last).  Too stuffed for dessert, but their wine selection is quite divine.  Overall, a good restaurant, and I still want to try its sister restaurant Battersby.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.171145833; Sentiment_Subjectivity (from 0 to 1): 0.47 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: lovely fine dining... solid prix-fixe meal.... your choice of 3 courses or daring enough to go all the 5 ways.   located inside the Setai Hotel on the upper second floor...take the stairs for a spiraling and bountiful view outside the glass doors.  what luxurious boutique hotel doesn't come with a glorious view? Michael White chose his location wisely.... now onto the food... the table opted in for the $84 prix-fixe 3 course meal. depending on who you talk to...this will either be a stellar deal, or highway robbery.   for me...my choices were worth it... all except the dessert.  I was not impressed with any of the desserts ... I tried 4!!!  I only enjoyed the stracciatella gelato and the olive oil cake was probably the best thing, but I am not a big fan of olive oil cake to begin with.  All the chocolate desserts were a major disappointment.   For starters, I went with the uovo.  slow poached egg, lobster knuckles, crispy veal sweetbreads, nuage layon... the best part was the sweetbreads...lightly fried and tender, goes well with the creamy egg yolk.  Delicious!!!   For pasta, I went with the Gnochetti.  semolina saffron gnocchi, blue crab, sea urchin, tomato, fresh herbs.... the sauce was not too heavy, flavorful and the pasta was chewy..cooked al dente.  I couldn't resist the blue crab and sea urchin...which was mixed into the pasta. For main entree...sticking to saffron, went with a Bouillabaise containing  saffron fumet, langoustine, rouille, red snapper, manilla clams... the broth was wonderful as the buttered toasts that accompanied it.  Wonderful aroma and combination... My highlights were the sweetbreads and gnochetti.  Pastas are freshly made...definite winners. and then concludes dessert..which I rather not get into.  major disappointment ... and that's all i have to say about that.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.192676768; Sentiment_Subjectivity (from 0 to 1): 0.425252525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 second visit since Vezzo. This time we actually sat down and ate in.   Great, albeit carefree service... we ordered one shroom and margherita on the organic nine grain crust.  the regular crust definitely tastes better, and i would prefer shrooms (shitake, button & portobella) over the tomato, basil, mozzarella.  this reinforces my theory of shrooms and truffles...you just can't top that! we also tried the beet salad here.... while the beets were plentiful, I wish they gave us more goat cheese!!!  if you focus, you'll taste the hint of orange zest, and pistachios that were so few carefully scattered within the dish. thin crust perfecto @ Posto.. they done did it again!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.162167245; Sentiment_Subjectivity (from 0 to 1): 0.43048433 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars. the latest restaurant to hit Flatiron...by Chef Schenker. Overall, good food and decor.  Absolutely great in accommodating large parties.  For starters the buffalo tots are not to be missed.  It was a bit on the salty side but who can resist tater tots? For our mains I tried the linguine with clam sauce.  Everything was cooked well, but I feel that there could have been more depth to the tomato sauce and the noodles could have been more al dente.  I definitely have had better and now regret that I should have opted for a fish dish.  My friend had raved about the fish here. For this reason, I would probably try a different dish moving forward.  All my friends enjoyed their dishes though and we overall enjoyed our experience here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.362637363; Sentiment_Subjectivity (from 0 to 1): 0.513736264 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ***3.5 stars*** Proprietor/Chef: Alicia Nosenzo / Harrold Dieterle Hands down have to agree with my fellow yelpers... spicy duck meatballs is incredibly savory, soft, and went extraordinarily well with the quail egg.  The mint cavatelli gave it an herbal cleanse to the palate.  Technique and presentation was lovely. For my entree, I decided to check out the cod, with rice cake gnocchi, rock shrimp, cashews and cloud ear mushroom sauce.  The fish was cooked to near perfection, but that's half the battle.  Everything else, went a little downhill for me.... The sauce is equally a critical component in a dish and the sauce kind of ruined the whole experience for me.  The cloud ear mushroom sauce, was a bit on the gooey texture, with virtually very little seasoning.  I like my cod marinated in a light sauce of some sort.  Needless to say, I was disappointed.   The chocolate souffle was wonderful.  Not big on souffle in general, so I'm not sure how this compares to other souffles I have had in the past, but it seemed to work well with the ice cream and sauce. As an extra, the waiter gave us mini ginger cookies, which I enjoyed far more than the actual dessert.   The service was extremely slow.  I didn't want to be rude, but seriously WTF.  He was too nice, so I couldn't really complaint.  Still.. it took a good minute just to order our food.   Watching Top Chef, I have come to really admire Harry... I can tell he cooks with so much passion and soul.  And for this, I am feeling generous and will definitely be back, because I know I've just hit a "miss" plate.  There are several more for me to try and give it another go!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.107364766; Sentiment_Subjectivity (from 0 to 1): 0.533406433 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new favorite neighborhood restaurant. no contest. what's there not to love?  farm to table concept.  everything has a touch of beets in it... i heart beets.  they are also known for their awesome korzo burger...and you can choose a beet burger or grass-fed beef.  Plus, you get to choose from a fried burger, or grilled flat bread. Either way, the options seem endless.  You will not be disappointed, i promise you. if you decide to go with the burger (as opposed to their duck, or steak, or GOULASH).... you must get the red bliss potato chips with it.  aside from fries, nothing i love more than crunchy, salty chips.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.223636364; Sentiment_Subjectivity (from 0 to 1): 0.577954545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reminds me a lot like Penang back in Boston. There is one in DC too, but I don't frequent the place as much as i do back home.   Dirt cheap, cash only, authentic and yummy Malaysian food.  Some dishes are inspiring and there are some that are less, so you just have to know what is good here to order.  I like their original roti canai, without all that egg junk.  Nice & simple. It's hard to tell which I like more... Penangs or this place...guess I'll have to try Penang a few times and be the judge!  They are both equally pretty good and consistent.  And with the prices, seriously you can't go wrong.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.554107143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: probably the best korean restaurant in k-town for soon dooboo...hands down.  their tofu is homemade, and has this gritty weird texture...that's definitely an acquired taste.  if you go as often as i do, you will learn to love it too. seafood soon doo boo, all the way!! their dumplings is also extremely good.  This is the ONLY thing i allow myself to order whenever i go here.  it can't be beat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.228211806; Sentiment_Subjectivity (from 0 to 1): 0.629861111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ***3.5 stars**** After personally spending what seems to be an ENTIRE day (too much) in Wlliamsburg....everybody (meaning LOCALS only) seemed to steer us and recommended Diner for dinner.  Naturally the Locals couldn't be wrong.   Naturally Yelp's starking 4 star review couldn't be wrong either...AND the fact that there is NO menu ...and it's set the same day exactly at 6pm? Sounded too good to be true and anticipated much of the suspense of what seems to be organically grown food.  are they killing chickens back there?  Apparently, they source most of their ingredients from Marlow & Sons...  the butcher shop just a few doors down.  Which, by the way, the owner owns.  Huh, makes sense in the grand scheme of things.   The Diner.... looked like a sub par trailer park... authentic in look, felt ultra cozy. Very chill...very williamsburg. No complaints.   Our waiter memorized the menu and wrote down on the table what the daily offerings are.  Apparently the burger was a staple.  The burgers were ordered as well as the fish soup, which was their version of a shellfish and fish bouillabaise. One burger ... ordered medium, was on the medium rarer side.  that had to be redone.  the waiter offered no apologies whatsoever....and dude, we know it's not your fault...but you basically REPRESENT diner.  and for that... we were left scratching our heads like WTF.  the burger while good was wayyyyyy too salty.  My poor gf, by the time she got her food, I was practically done with mine.   My bouillabaise was smoky, light, flavorful filled with mussels, a bit of clams and white fish and chick peas that i could have lived without... By the time all was said and done... my friend actually built up nerves to ask for the manager...and rightly so.  She let James know of her experiences...and he apologized profusely.  We thought an apology was the least he could do and we appreciated it.  Additionally, he had promise to write an apology letter enclosed with a gift card.  This is amazing customer service right there.. So will we be back?  Absolutely....and I hope I can update this review to be higher than 3.5 stars.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.097757937; Sentiment_Subjectivity (from 0 to 1): 0.452480159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 space. setup can be confusing. wish it wasn't so expensive.... you get what you pay for and a ginormous hole in your wallet! yeah, i'll be back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.10625; Sentiment_Subjectivity (from 0 to 1): 0.425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 probably one of my top brunch spots in the city IF i'm in the mood to wait a really long ass time..  brunch places are prevalent, especially in the city, and as you may know, this can change in a day or so, as spots keeping popping in and out. the wait is rather lengthy.. 30-40 minutes to be exact...you get past this... and I was deceived by its overtly adjoining room.  Holy mackerel... we walked around the block before we were able to get seated finally.  no recommended time to come in, it's busy all of the time.   $12 limited brunch special includes your choice of entree, cappuccino or tea and orange juice.  the OJ was freshly squeezed, and I couldn't have asked for a better cap, which was a segafredo brand (when I least expected it to be any good).  For my entree, I couldn't resist the salmon eggs Benedicte.  Though I can tell you I flip flopped between a few things here and there.. everything on the menu looked stellar.  The eggs were poached to perfection, the hollandaise was light and fluffly... the potatoes were crisp & seasoned amazing.... the harissa served here completely made the dish.   Every bite was worth savoring for more, until I realized I had finished it.  Even the portion was the perfect ratio. other dishes have a slight Middle Eastern flair to it, have yet to try their goat cheese omelette & pumpkin pancakes!  time to branch out.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.19792769; Sentiment_Subjectivity (from 0 to 1): 0.457319224 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *3.5 stars* i like the concept... i really, really, really, do.  but... this was just WAY TOO messy to eat... due partly because i had the roasted cauliflower with eggplant spread... the bread was just too big...and the cauliflower is equally big. therefore, my bite had to have been bigger....but it wasn't.  it made me look like i was eating it very sloppy, when I tried very hard to be neat!  plus the eggplant spread didn't help either... since i was already on the road, it wasn't like i had access to a knife and fork..probably the BEST way to eat it.   the flavors are solid though... if there was less bread, more filling, i'd be more compelled to give this a higher rating...but it's just too much work trying to eat the damn thing.  i'll give it another go-around and try something else...maybe this time, something meaty.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.087900641; Sentiment_Subjectivity (from 0 to 1): 0.378525641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *2.5 - 3 stars* Lunch is not very prime time in Midtown... that being said, this is the BEST japanese, fast food option in the area.  good price points.  extremely clean. hands down.  i would NOT go here for dinner or anything like that... burgers, rice/udon bowls, udon/ramen soups... i opted for the udon noodle soup.  and it was delicious...a bit sweet, but that's because they added sweet tofu (yummy) and they separated the tempura in its own bag (big plus). i've been told by fellow co-workers that their ramen and rice bowls are good too.   they don't deliver... for those too lazy...but worth the walk.  since everything is new... the restaurant is relatively clean.  as some other yelpers mentioned..it does remind you of a chipotle look and feel... wooden decor... nice, clean and simple. take advantage of their awesome condiments...siracha, wasabi mayo, teriyaki ketchup, spicy mayo... WIN/WIN!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.316943242; Sentiment_Subjectivity (from 0 to 1): 0.49883701 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: super solid whiskey bar in BK.  Cheaper prices than NYC...so this place is not only a steal...but it's quite the gem.   This place has a rustic quality to this place....that i think anybody who loves a great cocktail would truly appreciate.  Plus the menus look like the old school air mail envelopes.  Things you rarely see in this age anymore. This place has got my stamp of approval.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.255555556; Sentiment_Subjectivity (from 0 to 1): 0.602777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i get all the hype. i really do. no restaurant does a good job trying to carry fresh crawfish, let alone tasty crawfish.  BUT A 2.5 hour wait with a rude ass hostess???? NO THANKS.   glad you can tell my enthusiasm for this place.  crawfish was fresh no doubt... but the seasoning no where near matches that of the Boiling Crab (West Coast).  If you're a purist and don't enjoy sodium, you might enjoy the Boil.  Otherwise, the whole shebang sauce from the Boil is by far the best I have ever had.   the 2.5 hour wait might have been a little bit more bearable had the dumb hostess been a little bit more honest in terms of how long the wait had been...(after checking in with her for about an hour).  We of course left for a few drinks ..but didn't dare to stray too far.   we had the crawfish and combo with the shrimp, king crab.... some corn .... each combo comes with 1 potato and 1 corn.  we ordered cajun fries to start because we were starving at this point...(around 10-10:30pm). The wait is bullshit...so you already know to come early and come at your discretion.  time is money and i rather fly to CA/Vegas/Texas and get my monies worth there.   Cash only.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.514814815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: tapas = family style, compact, versatile.  you get your meat, i get my seafood, we can agree on potatoes... ok, we're one big, happy family. whether in large groups, agree to disagree...tapas seem to be my fall back, one in which i get very little resistance towards.  yeah, why not?  while, Las Ramblas was solid overall, there were some dishes i wish we didn't order and had tried something else.  i am a much bigger fan of boqueria..(as a point of reference) but that's not to say i didn't enjoy this place.   high notes - grilled octopus with purple potatoes, chicken empanadas it's not sophisticated here at all... tables are definitely way too close to each other..but a great way if you want to say high to your neighbors.  i left content and nothing to bitch about .. oh wait.. i take that back.  the sangrias here were kind of weak sauce.  i thought i left my juice box at home, but nope... showed up with me on the table.  yeah.... weaaaaaaak.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.103120748; Sentiment_Subjectivity (from 0 to 1): 0.456360544 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i wish i had good things to say about Landmarc...but the meal was overall disappointing.  maybe we both didn't order the right things....but in any event, this does not prompt or warrant a return visit.   for apps, we had the duck pizza.  Duck was good, could have done without thick flatbread.  i had the steak salad...steak was OK and the salad was empowered by the blue cheese.  Don't get me wrong... I love cheese, but even too much can ruin a dish.  The steak tartare didn't even look the least bit appetizing.  It tasted slightly better than it looked. should have I gone with a burger?  probably.  but at this point, i'm so turned off...i have no desire to come back. i liked that they have half or small bottles of wine here.  Great selection and variety.  The wine was better than my meal.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.168452381; Sentiment_Subjectivity (from 0 to 1): 0.466369048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: you cannot beat a better deal.. $2 sliders... $2.75 w/ bacon. Generous sized portions. jalepeno, chipotle ketchup, bbq and regular ketchup sauces. Skinny pomme frites...and Guinness & B&W milkshakes.  goddamn...need i say more?  it's not the best tasting thing ever, but it's a deal that's hard to miss...and such a fun environment too. Everything is vibrant, bright with colors that just pop. The f*ing rainbow cow just practically screams "come IN"!  You'll want to hang around a little bit longer gazing at the rainbow.   On the strip of St. Marks.  Even extra kudos for the fantastic location!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.232371795; Sentiment_Subjectivity (from 0 to 1): 0.416814596 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my roommate bragged about this place, my other roomie took her bf there... and that's when they encountered miley cyrus.  i mean... that's when i totally had to run out the door and check this place out.. wait.. which teeny bopper is she again? i totally forgotten that the both of them had eaten here.  we were walking around east village, deciding where to eat, when we stumbled upon this little iron clad gem, with two salt shrines bestowed upon the front door.  odd?  yes, but after previewing the menu, we decided it was worth checking out. izakaya style...or for grilled veggies, this place absolutely rocks!  the food is really a 4, but my overall experience was a complete 5 for counter bar service ONLY!.  maybe it had something to do with the fact that everything we picked was super delicious...one small plate after another.  the finale dessert surely didn't disappoint.  plus, the thrills of watching the chef personally hand each grilled dish you order on a paddle stick... i mean, can you heighten the experience any better? every food was perfected in its own apportioned right.  i agree with most of the folks here, portions could possibly be a bit bigger, but too much will taint the perfect existing taste & image i have already pre-conceived about Robataya.  I prefer small with many different samples to choose from.  That way, I get to savor & sweet each dish in piecemeal. highlights: nama-fu (wheat gluten cake on a stick with miso & yuzu paste), tofu agedashi (light & perfectly battered in a savory thickened broth), enoki mushrooms (buttery but that's what made it taste so damn good), grilled eggplant (sticking to the basics), chu-toro (each bite was a bit of fatty heaven) i could go completely vegetarian here and be utterly content..a little biased because i'm a pescetarian...so i can live without the red meat stuff. it's important to note that their secret weapon ingredient here is noto sea salt.  one of the highest caliber of sea salt i have ever tasted.  my oh my, what  a robust, rich flavor.  perfectly accentuates the entirety of the meal.   note to self- MUST try the kamameshi with salmon & roe next time.  as much as i love rice balls, anything cooked in a stone pot is a major plus.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.178287926; Sentiment_Subjectivity (from 0 to 1): 0.57589717 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: cute little restaurant situated in the heart of west village.  their garden patio is to die for....so request it and sit there before it gets too cold.   great selection of wine and pasta.  i went for the fisherman's stew.... which came out in a dazzling presentation.... (the thing was bigger than the size of my head...)  it looked like a mushroom and the bowl was covered in a dome like flatbread.  Once you pop it, you will find seafood delights such as mussels, scallops, shrimp & clams, in a wonderful, fragrant light tomato broth.  It was excellent.   the fried artichokes are a must.... a bit on the salty side...but it was crispy.  all the pastas were a good choice and about 90% freshly homemade.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.388541667; Sentiment_Subjectivity (from 0 to 1): 0.754166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: who doesn't like grilled cheese AND tater tots? not for the lactose intolerant, I will tell you that much.... all kinds of grilled cheese.  there is your classic cheddar cheese...or other interesting sandwiches with goat cheese, mushroom, maybe some chicken, or four kinds of different cheeses all oozing together.  mmm..... tater tots were good too.  the sauce which was an additional $1.50 dipping sauce (i picked whatever she recommended), not that good and not worth it... good ol' ketchup and maybe some spices would have tasted better. my only flaw?  tater tots weren't hot enough.  i want them crispy & piping HOT, not lukewarm.  but i love tater tots, so this is easily forgivable...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.236764706; Sentiment_Subjectivity (from 0 to 1): 0.577941176 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: wow. WHAT?!  4.5 stars? get the f*#@$^#$ out of here.  3 stars at best.   this is NOT the best seafood restaurant in NYC.... I've had plenty of bouillabaisse in my lifetime and this just didn't compare.  it didn't even fully satiate my appetite! also was a little under the influence, so everything should taste good right?!  yeah, no. seafood was not as fresh as i'd like...and broth was not as buttery as I had hoped.  therefore, I blame the dish on poor execution.   i would come back here to try the oysters....and maybe give this place another chance. we shall see...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.321626984; Sentiment_Subjectivity (from 0 to 1): 0.481746032 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *3.5 stars* this place is solid.  We all came here on the premise of the much anticipated bone marrow and brisket burger... yeahhhhh you heard right.  That alone makes your mouth savor.  The burger itself was good...(not great).. I expected juicier, but it was just a bit on the dry side.  Still "solid"... frankly, i was more impressed by their fries, which looked like little potato wedges.  I do not like potato wedges, but these things were crispy and damn great. Since this place was named "Swine" we tried to stay away from seafood....  other notables were the squash blossoms with heavenly assortment of tomatoes, basil, orange zest in a super delicious vinaigrette dressing.  Crispy pigs head terrine which was also another favorite.   The rest we ordered a ton of charcuterie, which I wasn't too crazy about....with the exception of the chicken liver mousse.  That was super creamy, rich and just about right in textures.  For salumi, we ordered the duck prosciutto, tongue pastrami & soppresata.  Good, nothing memorable.  The duck prosciutto was house made and prob the best tasting out of the 3...so that was impressive.  For the other charcuterie, we ordered the rabbit and mushroom, which was OK.... not as flavorful as I had imagined. i am definitely intrigued by the menu, (snacks, pickles, condiments, small plates and big plates) and who can say no to wine, charcuterie and cheese?  i can drink/eat that for dinner all week long.  (it's bad, i know).  there isn't anything on the menu that i wouldn't order...so that's definitely a plus.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.228404018; Sentiment_Subjectivity (from 0 to 1): 0.581919643 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Minetta Tavern... i thought was Italian..but it's more AmericanO and French.  (Look at the menu, and tell me if that's Italian or not. yeah...thought so!).   This place falls in between the 3.5 - 4 mark.  i shrug in anticipation, but my shoulders seem to sink ... in half approval.  Why?  The appetizers and dessert were amazing...but the entree fell a bit short for me.  should've skipped the full meal and ordered more apps.  The beets with the chevre was the highlight of my meal. Three more of those and I'm good to go... The chevre, lightly whipped, so fresh and delicious, i had to contain myself from licking it off the plate.  I had to remind myself, small healthy doses...more food to come.  He ordered the infamous black label burger...and I being the health nut for the night... the  baked cod.  i didn't enjoy my cod so much, it was nicely cooked, but missing a punch, kick or something.  Maybe salt? Who knows... The wow factor simply wasn't there.  I expected the burger at a whopping $26 to be a "WOWOWOWOW" but just two weeks ago, I had better.  I mean.. it wasn't bad... a tad sweet.  I am not fully convinced.  Followed by what one can only describe as 'hazelnut crepe heaven"   The atmosphere was a little BLAH, with the absence of fun.  i mean... it reminded me of an antiquated cafe with the leather furniture.  Not so hip, but maybe that was the point.  The name, Minetta Tavern, as it implies is indicative of a pub-like establishment... Not impressive, but would go back to try a few other dishes.  Apps only...! and what's up with the dude blocking the entrance? scary.. move bitch, you're in my way.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.078070175; Sentiment_Subjectivity (from 0 to 1): 0.513784461 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: all i have to say is... ask for either the miss peggy or miss brittany shot. you will not be sorely disappointed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.75; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: when i can't be bothered to wait in that crazy ass line at ippudo... zutto is the next best thing for ramen AND happy to confirm, fresh sushi.  their pork buns are not bad, but i would prefer ippudo's bar none. they have a much more interesting selection of ramen....pork, chicken, soy and even seafood... super delectable menu and my top two favorites are the spicy miso and seafood ramen, which is pork and seafood based, head on shrimp, manilla clams, roasted garlic oil, pickled ginger, menma, wakame... it's really good. the kimchi one is also good... has a little kick to it and it is topped off with tofu & clams.   the place is spectacular in space and it's never too busy filled with people.  it's a great restaurant for large parties definitely.  the menu is definitely overwhelming as there are things aside from ramen and sushi that you can choose from!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35174674; Sentiment_Subjectivity (from 0 to 1): 0.61723356 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: lunch review only. stellar restaurant in the quaint and heart of west village. their burgers and falafel come highly recommended.  and they were good portions to get you stuffed up and come crawling back to your desk only to find yourself curled up in the corner.   maybe the solution is to share... have been wanting to come back for dinner but the restaurant is always filled up.  that's every other restaurant for you in WEST VILLAGE!  *waving FIST in the AIR!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.146076389; Sentiment_Subjectivity (from 0 to 1): 0.518333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ***4.5 stars*** Guess what!  For the financial district area, I am awarding it BEST neighborhood pizza.  And no, I am not being sarcastic either.  If I frequent here enough, I might just update my review to 5 stars.  Yeah, it's pretty damn good here.  It gets four stars because I've tried their margherita pizza in the past before, and definitely not the best .... but it can certainly keep on trying. On a perfect, cold, crisp Sunday afternoon, my two pals were in the mood for greasy food to cure their perfectly slight hang over.  Pizza was the perfect ingredient indeed.  Having a major fuss over what toppings to put on, (sharing is a bitch, especially when one has many topping dislikes), we ended up with a simple combination of the "old fashion" plain cheese with roasted garlic on top.  Some oregano on the side... it ended up being absolutely divine.  Garlic was probably a bad choice, but it was so damn good... and I didn't have to kiss anybody afterward, so I didn't give a rat's ass.  WHO KNEW...  Maybe it's the alcohol talking, but it's been weeks, and thinking about it, is making me salivate.  Rarely, do I eat pizza.  It will take a big group setting to get me to eat pizza...otherwise, I usually settle for something healthier like Japanese.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.193194444; Sentiment_Subjectivity (from 0 to 1): 0.517857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crazed west coast chain hits east coast, specifically the heart of Greenwich Village.  it's a warm welcomed addition to the neighborhood...pretty sizable in space, expect to wait a good bit for this burger joint.  umami is a gourmet-esque burger joint.  expect to find fancy combos like truffle burger, 5 spice duck burger, ahi tuna burger...and seasonal... (their spring board turkey burger was THE BOMB, packed with cheese, kale, shrooms and apple creme sauce).  Quite divine and satisfying for a non-red meat burger.  Your choice of regular fries, sweet potato fries or home made Tater Tots!  you can't go wrong with any of these choices and comes in 4 different sauce pairings. More choices.  My fave was definitely the garlic aioli and jalapeño ranch sauce.  The tater tots are freshly made here...so def worth checking out.   In other words, this place is awesome.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.285576923; Sentiment_Subjectivity (from 0 to 1): 0.569378698 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 GREAT for big parties.  granted it's not big of a restaurant, but they have family style tables...and big long tables means family style.   well, unless you're like me and didn't order pasta, then you don't really have anything to share do you??! menu has a nice variety of appetizers, pasta and main entrees that are anti-pasta.  i was feeling "anti" pasti... so i decided to go with a fish dish...arctic char with purple potatoes & wild mushrooms.  mmm, mmm, mmm.  it was dynamite.  not overly done... a handful of ingredients and enjoy.  it's hearty ... and if you order any pasta dishes, it's a generous portion.   the ambiance itself feels very homey... like when you're visiting the rents in a large open area... not so fancy, but it does the job. waitstaff was very nice to put up with our fuss.  very consistent and overall swift.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.236622024; Sentiment_Subjectivity (from 0 to 1): 0.402306548 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: EH.  i gave it a good go.  Ramen-Ya now occupies what was once Aki on W. 4th (Japanese).  And that was so-so.   To be fair, this was better than i expected.  I"m not sure about the 4.5 stars here though.  Seems a bit fluff to me.  But putting the bogus-ness aside, onto the food.   Ramen--dare i say, is a very sacred type of food to Japanese and Ramen Lovers.  We take it very seriously.  So seriously, that people would die waiting 2 hours in the cold for it.  When Hakata TonTon quoted us a 45 minute wait, i seriously contemplated waiting for it...but not on a Monday night.  We hopped over to Ramen-Ya where there was no line and barely any tables.  Is that a bad sign? The best thing about the ramen was the chasu pork.  Completed charred by a torch, the pork melted in your mouth.  There was some serious fat on there.   The noodles were ok, and the broth was a bit on the sweeter side.  Dare i say, that it lacked major depth.   if i am going to consume over a thousand calories on food, it better be damn good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.108125; Sentiment_Subjectivity (from 0 to 1): 0.502777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: latin food for brunch is not exactly the ideal meal to eat... i ordered the smoked salmon sweet corn crepe filled with capers & red onions.. yeah, not exactly light & fluffy.  The crema nata added a light richness to the dish.  Overall, i thought the food was pretty decent, but the best part about calle ocho is their sangria buffet.  complimentary and unlimited with your choice of one brunch entree and over 7 different kinds of sangria.  not so bad...  the food was so heavy I couldn't stomach more than 2.5 drinks of sangria.   maybe it's just me..but i like to stick to the basics.  I prefer hearty over richness.  i like options damnit, and everything on the menu just seemed like it was a heart attack waiting to happen.  it's a lactose intolerant's worse nightmare.  OR, simply put, maybe I just needed to drink more.  i don't know....maybe I should have skipped the food and hit the sangria bar hard.  We didn't even get bread baskets, but the waiter thoughtfully had our best interest in mind. there was supposedly over an hour long wait...i think we barely waited 40 minutes..so be wary and check in with the hostess every 15 minutes.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.136538462; Sentiment_Subjectivity (from 0 to 1): 0.512774725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 updating my review from 4 stars to 5... why? i've come here every sunday as a weekly tradition....and now i'm addicted to it....yes, it's like crack.  and yes, i do find it still salty sometimes, but my taste buds have totally adjusted and given in to the king of ramen in nyc.  nobody else can compare... i've tried on several occasions and still find myself resorting back to ippudo.   now i'm afraid to go see my doctor, for fear that she'll tell me that i have high cholesterol, amongst other things! OH, the things you make me do! oh, and this phenomenon of waiting for over an hour for a bowl of ramen?  Yes, it appears to be everywhere...even at Totto (which is so ridiculous because Totto does not even compare).....  it's worth it.  i've been lucky and waited less than an hour before, but also have been unfortunate to have waited nearly 2 hours.....  i appreciate ippudo in the fact that even if you're still done eating, they will NEVER push you to leave.   i heart ippudo for life!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.098229167; Sentiment_Subjectivity (from 0 to 1): 0.505 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 enjoyed my experience at this tiny yet tasty restaurant. To be honest, the first big plus was that we were seated almost immediately in this 12-seat restaurant. (Try going past 8pm.) My friend, Jennifer S., and I got the fava to start, and it was very tasty. A thicker texture than hummus. (And we got extra pita for free!) I also got the Classic Greek Avgolemon, which was my first time for this traditional dish. And any soup afterwards will be forever compared to this one. Jennifer S. said that it was missing the chicken, but even so, it was a very flavorful dish. Jennifer got a special of the day lamb dish, which was uniquely flavored but, in my opinion, a bit expensive for the quantity. I did appreciate that although there are very few tables, we were not rushed out of the restaurant. (Though, once people start waiting for seats inside the tiny space, you'll automatically feel guilty for staying too long.) So... great food, but a big expensive-o, in my opinion. I am glad I got the chance to try it once!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.094761905; Sentiment_Subjectivity (from 0 to 1): 0.487875458 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: At first worried we wouldn't get a spot at 7:30pm, a wave of people left, leaving my friend and I to pick from multiple tables around 7:35pm (on a Tuesday). The menu, we both agreed, offered a lot of awesome options. I'm not sure how we ever picked, but we went with the burger and the borscht. Both were awesome choices. The burger is probably one of the better, juicier, nicely seasoned burgers I've had in the city. The borscht was also very authentic and filling. The decor isn't much to write home about, and, interestingly, without it being full, Nook doesn't seem to have the same cozy charm. But you do feel like you could be eating in someone's dining room, with its tasty, warm, feel-good dishes. I averaged my score up to 4 stars because it's BYOB without a corkage fee!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.511481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *** 2,400th Review *** Divine. Very memorable and worth the splurge. Service was truly impeccable. My husband and I celebrated our first wedding anniversary here. We started with -- North Carolina Pink Shrimp & Cape Cod Sea Scallops, Alaska Live Dungeness Crab, Point Judith Calamari, Ocean Herbal Broth ($29) -- Organic Connecticut Farm Egg, Serrano Ham, Steamed Polenta, Artichoke, Sunchoke, Coconut Garlic Broth ($24) Both were rich but not too heavy. Amazing flavors. For our main dishes, we had -- Chatham Day Boat Lobster, Brown and White Honshimeji Mushrooms Passion Fruit, Mango ($47) -- Organic Long Island Duck, Roasted Whole with Sisteron Lavender Hudson Valley Organic Hand Milled Polenta, Local Currants ($50) Also both amazing and unique. Check out the saffron and garlic breads. The sommelier is also extremely skilled. Ambiance is a little stuffy for my taste, but it's decorated well and feels different than other restaurants of this caliber.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.218596681; Sentiment_Subjectivity (from 0 to 1): 0.518650794 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: **brunch review** About three years after coming here for dinner, some girlfriends and I came here for brunch. I acknowledge this is definitely one of the best spots for brunch in the area, but as NYC brunches go, I wasn't necessarily blown away. The menu is small, and even though we had a reservation, it was about half an hour after our reservation until we were seated. Still, the food was very solid. You can't go wrong with the warm bankie or the porcetta with bread. The bloody mary also had a nice, spicy kick.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.048333333; Sentiment_Subjectivity (from 0 to 1): 0.589666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Now I see what the other Yelpers were saying... the service is so slow. I can't tell who's back in the kitchen, because with three people going in and out from the back where the kitchen is, it took over 20 minutes to get water. This experience will probably not dissuade me from coming again, but I'll be sure to budget about an hour to get just one arepa next time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0125; Sentiment_Subjectivity (from 0 to 1): 0.277314815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I feel rather "meh" about my experience here. For starters, let me put out there that this is one of those trendy places. Lots of collared shirts and high heels. No problem with that, but I just want to put that out there. The beignet starter was underwhelming. They needed more sugar. The almond french toast was beautifully presented and a large quantity. I liked it a lot except for this green seed that's in it - I forget what it's called, but it's kind of similar to licorice. Occasionally there was a bite with too much of it. I got the Brussels sprout frittata. This dish was very, very bland. It needed more salt or more cheese - or something. I would not recommend it. I am particularly down on this place because I had heard such great things. Maybe we just ordered the wrong things on the menu. I'll put out there that the alcoholic drinks looked very good, and the chai and Cookshop tea blend teas were very nice.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.267821068; Sentiment_Subjectivity (from 0 to 1): 0.58238456 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Spontaneously came here before going to a show, and we were blown away by the vastness of the menu. Good luck choosing something to get! Based on our experience, though, you will choose something good. We got the beef bulgogi, linsanity, and bahn mi fries. All were really tasty, unique, and filling. In fact, we the fries order is so big, you could eat them alone and be satisfied. I think the prices are really competitive, and I'd love to come back and try something else on the menu. That goes for their bubble tea options, too. Wow!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.370454545; Sentiment_Subjectivity (from 0 to 1): 0.563636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 immediately blown away by the kindness and smiles of the people who work here. First impressions mean a lot! The menu is extensive and offers lots of great-sounding dishes with a southern theme. Hands down, I had the best veggie lasagna with homemade sauce at Siggy's. Absolutely delicious. I wouldn't change a thing about it - except maybe the price ($14). But I'd definitely eat it again! Beer menu is also good, something for every taste. I'd love to come back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.250318287; Sentiment_Subjectivity (from 0 to 1): 0.386921296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to fall in love, but I didn't. I appreciated the lower sound level than the Smith, but the tables were similarly crowded. Our waitress had to keep peeping in at us from behind a wall to offer us beverages and take the check. The menu is satisfying. Jane loves its poached eggs! My friend got the eggs florentine, which included beautiful poached eggs. I got the mushroom omelette, which was fine but nothing amazing. The homefries - potato slices with peppers and onions - were surprisingly good. The table-side bread comes with a pink, buttery spread - a little disconcerting to me. The bloody mary (complimentary with brunch) was good, but not the 'best' (as they tout on their menu). I'm glad I finally checked it out. And definitely get reservations in advance if you want a chance of sitting down at a reasonable time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254695767; Sentiment_Subjectivity (from 0 to 1): 0.604232804 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Three friends and I spontaneously came here for dinner on at Saturday and really enjoyed ourselves. The mains were really special. The arctic char had such a nice crisp, and the short rib just fell apart, shredding with the tap of a fork. I liked the sweetness of the light dressing on the chopped salad, and the mac n' cheese, which included a generous portion of bacon, was delicious. The cocktails were a bit weak, but there were lots of delicious ones to choose from. Dessert was decadent and special. The chocolate bread pudding was almost like a brownie, and the monkey bread was simple and scrumptious.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.349285714; Sentiment_Subjectivity (from 0 to 1): 0.629444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friends and I went to The Smith after watching the latest Batman movie. While the space is a bit loud, it was the perfect place to debrief over beers, cool cocktails, and a wide range of food: oysters, deviled eggs, tuna tartare, and desserts, to be exact. The bread pudding dessert was truly delightful. The cava ain't half bad, and the price was perfect for our table, too.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.323333333; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spontaneously on a Friday summer night (read: few NYU students left in the area), and I really had a splendid time. The beer selection is pretty extensive, and the atmosphere is really chill. This is a great place to come with a small group of friends. Our waitress was really nice and even helped us fix our wobbly table even before we asked. I got the sangria sorbet, which comes in peach or strawberry. It was very delightful, a great drink + dessert. I will definitely be back for a drink with my friends again!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.345238095; Sentiment_Subjectivity (from 0 to 1): 0.545238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yum yum. So glad I finally made it here. And it wasn't too crowded, either! Go next door first to get a beer. Then bring it back to Pomme Frites! The pineapple mayo and pomegranate mayo were great. The wasabi mayo was a bit too intense for me; my friend and I were no where near finishing it. Chill vibe. No rush to leave. And holders for the frites! Brilliant!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.319444444; Sentiment_Subjectivity (from 0 to 1): 0.609259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was really blown away by my Easter brunch here. We were seated rather quickly and immediately became engrossed in the menu. Our waitress was spunky and sweet and complimented us on our choices. And, oh my gosh, truly, these dishes were beautiful in their simplicity and even tastier than they looked. The baked egg was hearty but also bubbling with vegetables. The Virgin Frittata was light and not boring in the least. The smoked salmon and potato tart tasted as good as it looked. And the Basque Scramble was unique and scrumptious. Our table also shared the banana French toast, which I highly, highly recommend you do. The crusted sweetness will win over anyone. Truly a delightful brunch experience!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.412948718; Sentiment_Subjectivity (from 0 to 1): 0.614615385 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a little baffled as to why this place has such a long wait. It's solid, but in Greenwich Village, I think there are a lot of comparable options. Nonetheless, the spring rolls and pho were satisfying, and this spot is great for people watching.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.177083333; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In a word: I was disappointed in this place. It is not not not worth the wait. I waited over 1.5 hours for a table. Once I got in, I realized the wait is because the space is so small, holding less than 30 people (in my estimation). Once I got in, all I could feel was that we were being churned out. Our waitress wasn't very personable at all. As for the food, my vanilla bean waffles were relatively unique, but they didn't blow me away. The eggs were very buttery and creamy, which I liked but my friends did not. I know CSBC's thing is the "sweet bacon," but I thought it was a little too sweet. Nothing special to say about the decor. I'd probably have given this place 3 stars if it hadn't been for the wait; the wait in itself built this place up much more than any review had. My friends and I felt full but not completely happy that we had waited so long.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.082998512; Sentiment_Subjectivity (from 0 to 1): 0.533630952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 glad I finally got to try NY Dosas. Thiru is really kind, chatty, and knowledgeable. The quantity you get is really large, and I recommend both the green and orange sauces. The pondicherry special dosa will certainly get you through the afternoon. I look forward to trying more of the foods.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.273214286; Sentiment_Subjectivity (from 0 to 1): 0.658928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good spot for the spillover of slightly-more-popular joints on this street. But I think they get it, because they were quick to get us the check when we asked. Long tables can make it a bit tough to walk in and out from the table. Didn't love the mis-matched chairs, as many of them were not that comfortable. Otherwise, the cocktail list was fun. I highly recommend the Duck Buck - great flavors and quite alcoholic. They make a pretty strong Hot Toddy, too.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.281269841; Sentiment_Subjectivity (from 0 to 1): 0.629047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 enjoyed my time here with four of my girlfriends. All the wine costs the same - never seen that before, but it helped simplify the options, and they did not skimp on the offerings. We decided to split a lot of small plates, which I think is a great strategy given how many options there are! We got the mac and cheese (one of the best I've ever had), the burrata (solidly delicious), the fried green tomatoes caprese (nice! could have had one more tomato), the quinoa salad, and the veggie burger (one of the best I've had in the city). Unfortunately they were out of the kale and artichoke fondue, which we were told never happens, but it mean we had to forgo it. For dessert, we had brownie batter in a jar (ok but not amazing), chocolate banana bread pudding (yes!), and mini-ice cream cones with salted-caramel ice cream (cute). I like the vibe of the spot, with the gear-spinning fans, large windows, and wood+exposed brick. Great spot for groups and a summer gathering.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.363988095; Sentiment_Subjectivity (from 0 to 1): 0.618948413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Please, please, please turn on the A/C. I came here with my friend on the hottest day of the summer, and the A/C wasn't on. It was tragic. Because otherwise, the experience here was pretty good. Their food was a big heavy for the heat but also incredibly tasty and with nice presentation. I had the Chorizo Crusted Halibut squid ink cavatelli, calamari, oregano, and rapini. I'd say my only complaint with it was that it was too salty, but the combination of flavors was great. Prices are standard for the area, but I think you could get a similar meal for cheaper elsewhere. Pretty decent beer list.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.172619048; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Maybe this is just not my kind of place. It's definitely old school Italian, with a waiter whose mannerisms and accent perfectly matched the ambiance, but it felt a bit stuffy to me and too practiced. Like it was all a performance for tourists. (It's definitely a tourist spot!) The menu is a bit confusing. My friend and I are still not sure what our options were. But we think that with a main course (all above $20 each), you get either a Caesar salad or a Caesar salad with three types of pasta samples ($9 more). The price didn't seem worth it. My swordfish was pretty good, though it was a bit underwhelming and a bit too dry. The spaghetti squash that came with it, though, was more interesting to me, as it was densely flavored with stewed tomatoes. My friend's 24 hour pork was very tender though a bit fatty. The bread basket got an A+. Plus, I haven't seen many restaurants with as large of a wine menu! $18 minimum on dinner. Service was a bit slow. (Though I think if we had mentioned that we had a show, the service would have been faster. Our waiter asked us immediately if we were dining before a show.) So, I'd give this place 2 or 3 stars, but I'm choosing 2 mainly because of the high prices and fairly stuffy atmosphere.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.228938492; Sentiment_Subjectivity (from 0 to 1): 0.496838624 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While I have been to the other Boqueria location, this one felt a bit more rushed and trendy, not as comfy as the other one. Nonetheless, we had a pretty good meal here. I'd say the items that stood out were the quail eggs -- if anything because they were unique -- and the beef/potato croquettes. I wouldn't say anything knocked our socks off, though, and we had about five or six dishes. I would say, though, that I still love their white sangria.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.297222222; Sentiment_Subjectivity (from 0 to 1): 0.594444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Umm, firstly, I saw John Oliver here, so that was... amazing. On top of that, the overall experience was pretty good. The paninis are large and probably one of the better values. When I got there, though, I was told that the ventilator had given out, so no flatbreads were possible. I saw people who beat out the ventilation and had good-sized pizzas, though, so I coveted those options. But I digress. Ambiance was fine, nothing amazing or frilly. Menu was decent. Service was fine. So, in the end, there's really not much that stands out. But I am glad I took a chance and ate here so I can share the same air with an amazing actor.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.330252101; Sentiment_Subjectivity (from 0 to 1): 0.591386555 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for brunch and was surprisingly satiated. The price is great! Wasn't a big fan of the homefries, but the breakfast burrito had good flavors. The avocado inside it was a little under-ripe, and I've seen bigger quantities in a breakfast burrito. However, the atmosphere is great. Egg whites are no extra charge. Open 24 hours. And the prices! The prices are awesome!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.40125; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for lunch and had an awesome pulled pork sandwich. The potatoes on the side, while a bit heavy, tasted awesome with the spiciness of the pork. I kept insisting my friend taste it, to the point where I think he just resisted just to see how much I really wanted him to taste it. My friend also really dug the jambalaya. The service is a bit slow even though it wasn't too crowded for lunch, but with this type of cuisine, that's a-ok.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.316666667; 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: One of the best flat whites in town. Too popular and small of a space to stay usually, but the delectable coffee and espresso drinks are worth the wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.229166667; Sentiment_Subjectivity (from 0 to 1): 0.345833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just for a slice of pizza. Of course I went for the artichoke and spinach. The topping was a bit creamier than I expected, a thick layer that almost slid right off the crust. However, the size was great, and the staff was friendly and amusing. A big downfall is of course the non-existent seating, but it's great for food on the go.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.307589286; Sentiment_Subjectivity (from 0 to 1): 0.563839286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for brunch with Janie W. and our friend Mika, and we had a delightful brunch here. We got here as soon as it opened, mind you, but we didn't feel any rush or experience any crowds. It all felt very leisurely -- and delicious! The liver pate was a mega winner, but all of the cheese and meat we had were divine. We also got a vegetable frittata that we ate 'til the last bite. Next time, for certain I'll come back for the wine with this delectable food. A really wonderful respite from the rush of New York City with spot-on food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.394516595; Sentiment_Subjectivity (from 0 to 1): 0.488071188 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Every time I have tried to come here, the crowd has been too large. Thus, I was so excited to come to the Yelp Elite event, which was held tonight. I was immediately impressed by the staff. They were attentive and friendly. Mad props to Rauri and Mia. I loved the burger - nothing too unique, but very tasty and juicy. The beer-battered pickles were also a great treat, though the sauce was perhaps too spicy for my liking. I loved the dirty pickle martini. It tastes like you're drinking pure pickle, and suddenly, you realize you're a bit tipsy... I also liked the Red Lemonade and the Sweet Tea; both were definitely sweeter but not too sweet. Local beers abound, which is a nice touch. I love the rustic feel and the cool touches, like the candle rack made of nuts and bolts. The decor is quite simple, but it fits the awesome buzz throughout the pub. I loved the early rock music, too. I'm glad I could share this experience with fellow Yelpers, in particular!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.323686371; Sentiment_Subjectivity (from 0 to 1): 0.643760263 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for late-night tea with a friend. I was immediately charmed by the set up: intimate tables; cute, Japanese touches; a real tea room; and a smaller bungalow set up for one of the tables. The menu comes in a nicely bound, small binder with laminated pages. The tea pages themselves have tabs for different types of tea. Although the menu is set up to be quite organized, it's obvious that pages have been added and subtracted over the years, and all the pages have different formats and styles. I don't know why this irked me so much. Then again, the tea section itself was superb. There's a good selection but not the largest one I've ever seen, thereby not being too intimidating. I was sad to see so many types were sold out, including the type that my friend wanted, the cardamom chai. However, ultimately we were both pleased with our crimson chai and chrysanthemum tea, which came in their own glass tea pots. The tea leaves were steeped before being brought to our table, which might explain why it took so long to get our tea. The food that was served to the people around us smelled and looked so good! Next time...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.241666667; Sentiment_Subjectivity (from 0 to 1): 0.60952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I took my husband here to begin a whiskey-themed day, and this is a "must go" kind of spot! We stayed in the Taproom for about an hour and a half. They have some delectable and large whiskey flight options. Their non-whiskey cocktails were also unique and interesting. While the food was a little pricy, I'd say the fries are a solid, cheap way to go. Their dipping sauces in and of themselves are worth the adventure. Love the atmosphere, the crowd, and the bartenders' accents. What a memorable time!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.300919913; Sentiment_Subjectivity (from 0 to 1): 0.545021645 [/INST] Not Spam</s>