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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: After reading so many terrific reviews of Pagani, I was excited to try the West Village newcomer.  I met up with my friend, and we walked into the rustic Italian cafe.  There was a casual and homey feel to the wine bar at the front of the space, and the relaxed and dimly lit rear dining section was perfect for a cozy meal.  The atmosphere was really endearing. Our server began our meal with a friendly and helpful vibe, but the ever expanding crowd seemed to deter her sunny disposition.  She began heavily dropping silverware on the table and storming off.  Luckily, it all happened so quickly that it was easy to disregard, but it was still noticeable nonetheless. While my friend ordered a standard Manhattan, I opted for the custom Uncle Ralph cocktail, which included gin, espirit de june, cucumber, lime, and rhubarb bitters.  The tangy and refreshing beverage was perfect for the summer evening.  I later ordered an interesting glass of Italian white called an Ortugo.  The Bonelli 2012 was from the Emilia Romagna region and possessed a hint of vivacious bubbles.  It was crisp and very easy to drink.   The tasty bread basket and effervescent olive oil were a delightful way to start the meal and lead us into our Charred Octopus starter.  Luckily, several tentacles were included on the dish, because the first one that I had tried to cut was pure rubber.  The others were much more tender, but still a bit over-cooked.  The accompanying potatoes were an added treat to the dish; and the sauce of black olive, grape tomato, and orange citronette was well-balanced and purely Mediterranean.  It was a delightful enhancement, and I could not stop myself from stealing spoonfuls of it off of what was left of the nearly empty plate! For an entree, I went with one of my favorites - a squid ink pasta.  This daily special was sadly gummy and only included 2 shrimp!  The ink sauce was also disappointingly bland.  For dessert, we shared a plate of the Dark Chocolate & Banana Bread Pudding Sticks.  The fluffy cake was sinfully decadent with its sugary drizzle of creme anglaise. As much as I loved the vibe at Pagani, I would be hesitant to return given the execution of what would otherwise sound like delicious courses.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.236993355; Sentiment_Subjectivity (from 0 to 1): 0.560963455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend and I are always trying to come up with new and unusual lunch spots, so I set my sights on discovering those with lesser known cuisines.  Though I had previously been unimpressed with my Tibetan experience at Tsampa, I had read a ton of rave reviews for Cafe Himalaya and was willing to give it another shot.  I had also been spending a significant amount of time in the East Village and had been intrigued by the authentic cafe from a distance.  I located the menu online and forwarded the link to my partner in food crime for his review.   He also fell victim to the tantalizingly new and exciting dishes.  After weeks of having him mutter sweet "Momo" (aka dumplings) requests into my ear, we finally found a time to meet for lunch. We sat at a casual wooden table in the small restaurant, which resembled a random takeout joint.  However, the clean, open kitchen space allowed us to observe a Tibetan woman gracefully stirring ingredients into a hearty stew.  The lady's apron and determined demeanor used to mix her cauldron, made us feel right at home.  We sat back with the reassuring knowledge that we were going to receive an authentic meal. We both loved the fact that many Tibetan dishes relied on hearty, yet healthy ingredients, with vegetables dominating most dishes.  We began our meal with two salads.  The Tangtsel was similar to a health salad or mayo-less cole slaw with its crispy mix of cabbage, carrots, peas, and bean thread noodles.  It was supposedly marinated in sesame oil and vinegar, though my palate barely picked up on either acid.  However, the vegetables were fresh and crisp, so I did enjoy the crunchy texture.  The presentation of being served in a curved lettuce leaf bowl was also creative.   The Avocado Salad was dissimilar to the cabbage salad in the sense that its seasoned potatoes, avocado chunks, and chickpeas were heavily dressed with a creamy lemon sauce.  Sliced tomatoes and  onions also enhanced the flavor.  The potatoes were perfectly moist, and the chickpeas added a Mediterranean feel.  It was the perfect salad to enjoy with the provided chopsticks. Next, we enjoyed the infamous Tsel Momo lunch special, which included 8 large, steamed dumplings stuffed with seasonal vegetables and served with a side of the cabbage salad.  The tender bundles were composed of slightly sticky noodle wrappers stuffed with an intense vegetable medley that almost provided a full serving of veggies in each clump!   Though that might sound like a decent lunch portion for two, we were too curious to finish that soon.  We then enjoyed the Phingsha, which was a sauteed plate of clear bean noodles tossed with cabbage, carrot, peppers, spinach, and shrimp.  The dish was served with paratha, a thin whole wheat Indian bread similar to roti, but with more seasoning. The shrimp were medium-sized, plump, and flavorful.  The dish was served in a slightly spicy, yet very sweet broth that reminded me of a milder Thai sweet and sour sauce.  The meal was very tasty. We also ordered the Vegetable Curry, but were not sure that we actually received it.  The bowl oddly included tofu and noodles, but lacked Asian spice.  It was more like a mix of the Tsel Gyathuk Ngopa (sauteed noodles mixed with fresh green vegetables and tofu) and the Tsel Shesha (mushroom, broccoli, zucchini, carrots and spinach sauteed in herbs). The herby broth was bland and no where near similar to a curry sauce.  The included vegetables remained crisp, despite soaking up the hearty broth.  The zucchini was especially fresh and flavorful.  The accompanying basmati rice grains were perfectly firm, not hard or sticky.   After sampling what we felt was a substantial variety of courses, we sat back to evaluate our experience.  There was no question of Cafe Himalaya's authenticity, but neither of us felt Tibetan cuisine was something we would prioritize in the future.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.16090938; Sentiment_Subjectivity (from 0 to 1): 0.518049254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my college friends was aware of my deep passion with food, so when she was finally able to snag an exclusive reservation for a Bo Ssam meal at Momofuku, she knew exactly who to turn to when she needed to fill the remaining seats.  According to her boyfriend, she sat up night after night attempting to book this substantial meal and was planning to figure out all of the attendee details at a later point.  Besides the fact that I never turn down a culinary invitation, I had yet to visit one of David Chang's restaurants, so I jumped at the opportunity.   I arrived at the packed restaurant, careful to heed my friend's warning that we MUST be seated by our 6:30 reservation or we would lose our table.  I pushed my way over to the hostess, who ever so gracefully escorted me to my group's table.  The friendly woman was surprisingly sweet and relaxed, though every seat in the space was full, and a line was forming at the door.  I looked over at my friends who were already crammed into the table and felt uncomfortable asking them to make room for me.  One friend considerately scooted over and created a space on the long bench against the wall.  Though we had planned on six diners, we had become 9 and had to squash 4 people to a side on a small rectangular table, with another friend stuck at the head.  Unfortunately, Momofuku did not provide a coat check, and we basically had to keep our puffy winter jackets in our laps throughout the meal.  This was probably my main pet peeve, because I spent a substantial amount of money to eat uncomfortably.   But, boy, did I eat!!  We started our meal with carefully selected bottles of Malbec and Sauvignon Blanc, which one of my fellow diners thought paired best with our courses.  Though we had a lengthy procession ahead of us, we just had to sample the Steamed Pork Buns, which I had heard were completely amazing.  The moist dough was curled over the meat, resembling more of a taco than a large dumpling.  Unfortunately, the bun's outer layer was served at room temperature, though it would have been more enticing if was plated as warm as the pork stuffing.  Due to the creative fashion of the wrap, our mouths began to water at the sight of the sauteed meat filling pouring out of its sides.  Thick slices of marinaded, fatty pork goodness lay atop crisp cucumber rounds and spicy scallions.  A sweet hoisin sauce equated the flavor profile to that of Chinese Moo Shu Pork.  Each small sandwich oozed with meaty juices that poured all over our hands, but did little to distract us from the pleasure granted by each bite.  Since this appetizer portion came as two buns, we had 10 succulent bites for 9 people.  How were we to determine who was lucky enough to receive a second helping.  Various challenges were suggested, including a Rock-Paper-Scissors tournament.  In the end, we all chickened out on the additional fatty dosage and gifted the prize to a recent marathon runner among us.   Just as we were wiping the sauce off of our chins, the attentive waiters followed up with our main pork feast.  The Bo Ssam included a massive round roast of pork butt, a dozen oysters, kimchi, rice, bibb lettuce, and various sauces.  The task was to grab a large, brilliantly green leaf of lettuce and top it with slices of fall-off-the-bone pork, salty oysters, sticky white rice, and one of the accompanying sauces.  The interactive meal was spectacularly entertaining for a large group, because it enabled us to use the table as our own little assembly kitchen.  Each wrap held a heavenly blend of textures and savory flavors.  The pork butt had a slightly crisped crust, but was full of tender juiciness within.  The marinade had a barbecue-like sweetness to it, which helped season the somewhat bland pork.  The oysters were delicate and subtly tasted of the sea.  The kimchi was very saucy and could have used some additional cabbage.  However, dabs of the bean paste, red pepper dip, and scallion oil were terrific ways to enhance each wrap.   The Bo Ssam was so fantastic that the more we ate, and the more we complained about how full we were, the harder it was to stop picking at the shared plates.  I cannot count how many times we each said, "Ok, I am done!" before definitively cutting ourselves off.  Well, eventually we ran out of meat and mainly the bare bones remained, so we had little choice at that point. We quickly settled our bill, which we were pleasantly surprised cost us only $60 a piece.  Then, though ready for a nap, we could not avoid a trip to the adjoining Milk Bar for some after-dinner treats. We also ended the night with plans to revisit the fabulous Momofuku Ssam for their famed fried chicken dinner.  Ahhh...the life of a foodie is never fulfilled!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.087266069; Sentiment_Subjectivity (from 0 to 1): 0.533945718 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Koreatown location of BCD Tofu House is back and better than ever!  Its 24 hour policy made it the ideal spot for my second dinner the other night.  (I know, I know...) The new location offers plenty of spacious seating options across three floors.  The service is so friendly that multiple servers, ones that are not even yours for Pete's sake, will greet you as you come and go.   Our meal began with various Ban-chan, which are small starter dishes that are delivered as compliments of the kitchen.  The large fried fish and crisp broccoli were our favorites, while others like the kimchi, bean sprouts, and seaweed salad were a bit bland. However, these additional distractions are unnecessary and only delayed our bites of the house specialty organic tofu soup.  BCD offers a wide array of flavor options, including an aromatic Curry and a fiery Mushroom.  All soups include massive chunks of tofu, as well as substantial portions of meat and/or vegetables.  Everything can be tailored to your preferred level of spiciness.   In addition, the restaurant serves popular dishes like Japchae and different barbecued meats, but nothing quite beats their tofu soups!  BCD is definitely worth seeking out amidst its block of competitors.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116317395; Sentiment_Subjectivity (from 0 to 1): 0.468550767 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend and I were going to see a movie over in Kips Bay and needed a place to grab a bite afterwards.  The menu at Whitman and Bloom seemed intriguing enough, and it was only a few blocks away, so it was the perfect spot.  As we approached the entrance, I saw that it just looked like a nice pub versus a classy restaurant.  This tends to make me nervous because bar food could really go either way in terms of quality and flavor.  We checked in with the hostess, who stepped away from the stand to escort us to the back dining area and show off her tight leather shorts, which was apparently the outfit for the entire female staff... Though I was not really planning on drinking, I was tempted by the Nocturnal cocktail, which included Death's Door Gin, earl grey tea, honey, ginger, lemon juice, and mint all served straight up.  The massive beverage was sweet, but not overpoweringly so.  In fact, the flavors were all rather subtle, but blended well together.  The drink arrived with some delicious bread that was fluffy and airy on the inside, but with a crispy and sticky crust.  The doughy goodness was paired with a white bean puree that was infused with garlic and drizzled with olive oil.  It was pure heaven. We decided to share the Pot O' Mussels to start.  The shellfish itself was rather mushy and either overcooked or not particularly fresh.  The mussels were lying in a broth of creamy white beans and spicy chorizo.  I believe there might have been some white wine in the sauce as well.  I simply could not get enough of this perfect broth, and even went as far as indulging in several forkfuls of the sausage, which I typically do not enjoy. My entrée consisted of the Chopped Tuscan Kale Salad topped with Grilled Chicken.  First off, the salad contained about 2 pieces of kale, while the bulk of the dish was built upon standard mixed greens.  The toppings were very Mediterranean - peppers, olives, tomato, fennel, red onion, wild mushrooms, feta, and toasted pine nuts, but it was less exciting than it sounded.  The pomegranate vinaigrette was a delightful hint of sweetness though.  In addition, the chicken breast was well-seasoned, but dry. I hate to say that the main reason to return to Whitman & Bloom would be the bread, but I really think that a meal of that, plus a delicious cocktail, would make for an excellent experience.  The rest of the cuisine and service were sadly forgettable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103714286; Sentiment_Subjectivity (from 0 to 1): 0.494357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Scarpetta had been # 1 on my restaurant wish list for the longest time, but I was never able to find a reasonable reservation time.  Luckily, I happened to come across a 6:30 availability on a random Monday evening and booked it immediately.  I enlisted one of my girl friends as my dining companion and eagerly awaited the end of the work day.  We met up later that night and entered the beautiful front lounge area.  We checked in with the hostess, who ushered us through the crowded bar and over to a table in the elegant, sprawling dining room.   The sommelier approached and helped us navigate through the substantial Italian wine list.  We each ordered a glass and wound up loving his recommendations.  We began to peruse the menu, but were pleasantly interrupted by the bread delivery.  The basket was beyond anything I had ever seen - consisting of slices of crisp Italian, doughy foccacia, and savory pepperoni and cheese stromboli.  Olive tapenade, creamy butter, and olive oil were offered as spreads for the already flavorful pastries.   When it came to the cuisine, we knew that we had to sample some of the chef's famed pasta, but we were also attracted to the seafood entrees.  We decided to share the Black Tagliolini as our appetizer.  This earthy pasta was topped with rich sea urchin; clams, mussels, and other mixed seafood; as well as Italian-style breadcrumbs.  The dish was decadent, sinful, and simply unbelievable!  We licked our bowls clean, longing for more, and sat on the edges of our seats yearning for our entrees.  My Black Cod was perfectly cooked and served over a lightly stewed broth of caramelized fennel and tomatoes.  My friend enjoyed her seafood plate as well.  We then proceeded to dessert, at which point I enjoyed the Banana Budino, a chocolate banana custard molded into a thick, cake-like slice.  It was served with caramelized bananas, pecan gelato, and an oat tuile for texture.  The dense pudding was very sweet, leaving me only mildly impressed.  My friend's Coconut Panna Cotta, on the other hand, was awe-inspiring.  While I rarely enjoy the texture and flavor of this type of treat, I loved this version's nutty tropical flavor, which was further enhanced by its surrounding guava soup and chunks of caramelized pineapple. Overall, we were blown away by the top-notch elegance, service, and cuisine offered at Scarpetta.  I now understand why they are always booked and can only hope that I will be able to score a table again in the future.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.249121622; Sentiment_Subjectivity (from 0 to 1): 0.612927928 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walked past Hu Kitchen and was excited to see that their menu offerings were all at least one of the following: organic, gluten-free, vegan, raw, etc.  So, on one fateful day, I walked into the café and was never the same.  I must have spent close to an hour deliberating over what to order for my lunch - something from the hot station, a cold prepared salad, a gluten-free muffin...I was completely torn.  The expensive prices were a deterrent on most items though; I understand that I would be paying for quality ingredients, but jeez!  In the end, I decided on the Organic Gluten-Free Oatmeal Smoothie, which contained grains, oatmeal, pure maple syrup, organic pear, and house made almond milk.  The creamy drink was like a slightly sweet milk, but it needed some additional flavor, and I would love if they had included some form of protein.  It was priced at $8.95, which is basically on-par with their competitors, such as Liquiteria, and even cheaper than Juice Press.  I also had a small cup of their Root Vegetable Mash side dish, which was creamy and hearty. However, I have since been back two days in a row to treat myself to my new breakfast obsession - their Taro Trouble No-Yo Mashbar.  This "mashbar" could be seen as their alternative to frozen yogurt.  My particular version replaced the yogurt with dairy-free taro pudding that was smooth and delicious.  It was scooped into a cup over organic, raw, grain-free granola and then topped with organic seasonal strawberries, mango, and organic puffed quinoa.  The sweet treat covered all ranges of texture making it a completely satisfying experience.  The other Mashbar snacks are based around additional healthy custards, such as chia pudding, homemade cashew cream, and more.  I cannot wait to try them all!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.110192585; Sentiment_Subjectivity (from 0 to 1): 0.492031857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Though I rarely eat at hotel restaurants while traveling, I make an exception when it comes to dining at some of the luxurious accommodations across Manhattan.  I had read great reviews and heard fabulous things about the breakfast at Print.  Plus, after a quick glance at the website, I was attracted to the elegant dining room.  Since my friend and I were going shopping in Midtown, I thought this would be a fabulous restaurant to try for dinner that evening.   We entered the sleek hotel lobby and were swiftly directed to the beautiful dining space, which commenced with a large lounge and bar area.  The hostesses located our reservation and escorted us to our table.  The menu looked terrific, as did the plates of food on the neighboring table.  Our meal kicked off with some warm, delicious bread and glasses of fabulous wine, courtesy of the wise sommelier.   We decided to skip appetizers and focus on main courses.  My Grilled Red Snapper was served with Escarole and Roasted Potatoes seasoned with parsley.  It was then topped with a lemon cream sauce.  As I tried to slice my fillet, I noticed that it seemed rather dense and tough.  Well, there was good reason for that, since it was RAW!  Never have I been served uncooked fish when it was supposed to be "grilled".  I sent the dish back, and it was quickly returned to me with an improved sear.  The meal was enjoyable, but certainly not memorable.  My friend is something of a steak connoisseur, and she found her Skirt Steak with Salsa Verde rather mediocre as well. We were unimpressed with our meals at Print, which was disappointing given the stylish decor.  My horror at being served raw seafood pretty much scarred me from ever returning to the restaurant.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.23464998; Sentiment_Subjectivity (from 0 to 1): 0.670610501 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love Houston's, but I wish the line was not always so long!  My friend and I used to frequent the one out in Jersey, and this one is just as nice.  They have a huge bar, which gets crowded quickly and where a lot of people wind up ordering food rather than wait for a table.  The drinks are pretty pricey.  The food is affordable and delicious.  I highly recommend the Home Smoked Salmon, Warm Spinach Dip, and Sashimi Tuna Salad.  The salmon is a large, flaky smoked piece of quality salmon.  It's plated with white toast squares and an herb mayo.  You use the ingredients to build your own mini sandwiches.  The spinach dip is creamy and definitely full of fat.  It's worth getting if you plan to share.  A large bowl of tortilla chips are provided for dipping and some sour cream and bland salsa are needless included with the dish.  The Sashimi Tuna Salad contains fresh seared tuna over greens with black sesame seeds and sprinkled with Asian dressing.  I do not recommend the Very Mushroom Soup, which is offered on Tuesday's rotation of daily soups.  Kuckily the soup was brothy rather than creamy, but it was too garlicky and over-seasoned. The service is friendly and the atmosphere is classy and romantic with its dark wood and dim-lighting. I highly recommend Houston's, but so would a bunch of other people, so be prepared for the long lines!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.173341014; Sentiment_Subjectivity (from 0 to 1): 0.520284178 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had been dying to check out Saxon + Parole, so when my friend mentioned that she wanted to dine in the Bowery-area, I jumped at the chance to offer this suggestion.  Thankfully, she agreed, given my previous successful recommendations (not to brag or anything!).  The crowd that greeted us upon our arrival validated that this was truly a hot spot.   Our reservation was promptly honored, and we were quickly escorted to our table.  Our meal kicked off with complimentary garlic chive biscuits and some maple butter.  I washed mine down with my own tart creation of gin plus their traditionally alcohol-free Cucumber & Thyme Fizz (cucumber juice, lemon, fresh thyme, Perrier).   We could not ignore the decadent-sounding Truffled Portobello Mushroom Mousse with housemade whiskey jelly and loved the rich creaminess that we spread over our sliced bread.  We then proceeded to entrees, like my Atlantic Wild Cod, which was served in a Mediterranean-style tomato-caper broth, accompanied by Manila clams, braised fennel, and Tuscan kale.  My friend's 8 oz. Hanger Steak was succulent and delightful.  Our side of Broccoli Rabe was spiced up with garlic, chili, and lemon.  We finished our meal with a large Blueberry and Almond Tart, which consisted of a crisp, flaky pastry crust that had been filled with plump fruit and crunchy almonds.  It was plated with a sweet lemon curd and a scoop of amaretto ice cream. Our meal was certainly delicious, but perhaps less memorable than other 4* experiences, so I would say that it was more of a 3.5*.  However, the happening scene and innovative menu were enticing enough to warrant a repeat visit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.333176257; Sentiment_Subjectivity (from 0 to 1): 0.637185847 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Balthazar Restaurant & Bakery has been a hot spot for years.  Though it might be somewhat easier to get a reservation here now-a-days, crowds still pack the French bistro.  I was there for dinner a few years ago, and the fresh seafood tower really sticks out in my mind.  My recent lunch excursion was yet another success. Our meal started with moist slices of white and wheat bread.  My Balthazar Salad appetizer was topped with only the freshest haricots verts, asparagus, fennel, ricotta salata, and a truffle vinaigrette.  The fennel added a spike to the flavor and the crisp vegetables added a great contrasting texture.  My entree of Seared Organic Salmon was encrusted with a tangy Dijon mustard and cooked to my liking.  It was served over a creamy blend of rich lentils stewed in a chicken jus.  The flavor combination was spot on!  For dessert, I sampled (or rather inhaled) the Balthazar Bakery Tart of the Day - a flaky pie crust topped with almond paste and a caramelized mixture of pears and plums.  The sweet fruit pieces were crisp and fresh.  The pie crust was a bit less buttery than I usually prefer, but I guess I should be thankful for that since I ate the entire slice!  I also sampled my colleague's Pavlova, which is a sweet baked meringue that was topped with warm seasonal berries.  I am not usually a meringue person, but the berries added an earthy tartness to the dish.  Lastly, their coffee was nice and bold.   On another note, they offer an extension wine list and some delicious champagnes. The prices are on-par with other top Manhattan bistros, and the service is great. I would definitely recommend Balthazar for a nice brunch, business lunch, friendly dinner, or even a quick morning coffee and snack.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.227272727; Sentiment_Subjectivity (from 0 to 1): 0.504040404 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 moment I heard that John Fraser was opening a new restaurant, it immediately jumped to the top of my "must try" list.  After two meals at the chef's Dovetail, as well as a dinner at his "What Happens When" pop-up, I was hooked on his delicate manipulation of simple ingredients.  So, when my friend and I were in need of a restaurant for a recent dinner, Narcissa instantly came to mind.  I struggled to find a reservation on OpenTable and was able to squeeze in a 6:00 pm slot on a Monday.  Though I had tried to delay the seating as that particular day arrived, I was confronted with no other options.  However, I was not about to give up my dining opportunity, even if I had to eat earlier than usual. Upon my arrival, though, I was shocked to notice that the restaurant was about 98% empty.  I met my friend at the bar and allowed the polished and friendly bartender to guide me through their glasses of white wine.  After allowing me to sample a few, which I was not particularly fond of, he guided me to Albarino perfection.  While I sipped the crisp nectar, the hostess approached us to see if we were ready to be seated.  We requested some extra time, which she initially seemed willing to provide.  After about 15 minutes, she reappeared to advise that we really should take our seats or run the risk of losing them...to whom, I have no idea, since the restaurant was still pretty dead.  Well, we decided to humor her and allowed ourselves to be escorted passed the busy, open kitchen and into the dining room. The minute we sat down, our server preyed on us like a hungry bear.  He was intense, fidgety, and with an accent that continually shifted from Midwestern to Australian and others.  I was pretty surprised that his bizarre demeanor was accepted by such a regarded team at the helm.   Despite the awkward service, the cuisine was rather tasty, but not as flawless or as impressive as I had hoped.  The menu sounded amazing and deliberating over it distracted us from inhaling our salty, herbaceous loaf of artisan sourdough.  We finally settled on a few dishes and began to catch up over the intoxicating comfort of warm bread.   We started with the Poached Farm Egg appetizer.  The presentation on this one wow'ed us more than the flavor.  The server approached the table with two bowls - one a dry mixture of mushrooms, quinoa, and chayote, while the other balanced an open sous vide egg like a delicate wedding band on top of a pillow.  The egg was lightly poured onto the quinoa bowl and left for us to slice open and blend.  While the mushrooms and chayote enhanced the flavor of the dish, the egg lacked any real seasoning and would have benefited from some salt and pepper.  The main courses were an improvement, though.  My Roasted Hake was cooked to a flaky perfection and placed over artichokes, clementines, endive, and an olive tapenade.  There were a lot of acidic elements to this course that really enhanced the flavor of the fish.  My friend's Lamb Loin was rich, moist, and crusted with some sort of pesto.  It was served with a greasy, but tasty spinach pie, piquillo peppers, and roasted cauliflower.  She enjoyed the dish, but was turned off by a fatty piece of braised lamb belly that was also included on the plate, and which I gladly finished for her.  Our side of Sunchokes and Red Cabbage was sweet and earthy, but very oily.   While we had contemplated a dessert order, we decided to just call it a night, but were still gifted "a taste of something sweet", which included melt-in-your-mouth dark chocolate mocha truffles and citrus jellies. If someone suggested Narcissa for another meal, I would gladly return, but I think there are better experiences to be had, such as at Hearth, only a few blocks Northeast.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132632484; Sentiment_Subjectivity (from 0 to 1): 0.534187109 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Spotted Pig has been a popular hangout since it has first opened.  Celebrities love to gather around the bar on either of the first two floors, and some of the city's top chefs sneak up to its hidden after-hours attic.  Plus, with the down-to-earth, locavore Executive  Chef, April Bloomfield, this place just oozes coolness. I had once visited The Spotted Pig solely for drinks and had loved the fun, country-style decor and relaxed atmosphere.  I had been dying to try the cuisine and was ecstatic to learn that one of my clients had requested it for a corporate lunch.  My colleagues and I arrived at the quaint corner spot and joined our business partners around a lengthy, rectangular table.  We were all healthy eaters (aka pigs, not vegetarians) and decided to begin by sharing several items off of the bar snack list.  The Deviled Eggs had the perfect balance of firm egg white and creamy yolk.  Scallion shavings and paprika were sprinkled across the top of each egg for some added flavor.  The Marinated Olive dish included a wide variety of the briny Mediterranean item, introducing us to their various flavors.  The Devils on Horseback sweet dates were stuffed with gooey cheese and wrapped in smoky bacon.   The Roasted Almonds were an additional treat, but nothing fulfilled the fattening reputation of this gastropub quite like the Chicken Liver Toast.  The crusty slices of artisan ciabatta were covered with the heavy, rich liver spread.  Though a few of the diners were hesitant to sample the unique paste, they instantly became hooked after just a simple bite. Due to such a lavish appetizer tasting, I decided to order something a bit more manageable for my main course, such as the Smoked Haddock Chowder, which was well-seasoned and served as the perfect portion to round out the rest of the heavy meal.  I also took a bite or two of several of my companion's plates.  The Sheep's Milk Ricotta Gnudi were round heavy dumplings that possessed dense centers of the mild, creamy cheese.  A decadent, buttery broth cradled the dense pasta and fresh basil leaves added a herb garden essence to the dish.  The thick, humongous Chargrilled Beef Burger patty was moist with flavor and served on a crusty, toasted bun.  Roquefort cheese was draped across the meat and a side of thin shoestring fries was a playful accompaniment. By this point, we were all stuffed beyond belief and ready to roll ourselves back to our offices, but we still could not pass up the opportunity to try the Walnut, Chocolate, and Amaretto Cake.  This dense pastry was packed with nuts and topped with a thick chocolate ganache.  The dessert was as sinful as the rest of the menu items. The Spotted Pig truly embodies an English pub with its rustic decor, fabulous beverage list, and comforting food.  Though stopping here for a drink is a fun experience, nothing beats a sampling of Chef Bloomfield's culinary decadence.  Unfortunately, the indulgent meal is something best done in moderation.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126166667; Sentiment_Subjectivity (from 0 to 1): 0.465642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hearing rave reviews about Maysville, I was shocked to finally secure a reservation there.  However, I have to admit that between the name and their massive bourbon list, I really thought this was some sort of upscale barbecue restaurant.   In actuality, only about a third of their offerings seems to fall within the Southern category, which is extremely confusing and a bit all over the place. Upon my arrival on the Friday evening, I was confronted by a completely packed bar full of business men enjoying their happy hour beverages.  The host staff was very friendly and gracious, but once we arrived at our table, that all changed.  Our waiter did provide some recommendations, but had the enthusiasm of a rock.   We perused the bourbon list, and despite the large selection, we were left to guess on their flavor profiles, as no descriptions were provided.  The few cocktails I tried were all tasty, but lacked any of the smoke that I would hope for when ordering beverages that included this bold alcohol. As I mentioned previously, we found the food menu disjointed and decided to order a quick small plate to sample before deciding whether to eat a full dinner there or venture elsewhere.  While we waited on our Smoked White Fish Mousse, we nibbled on sweet and spicy mini corn muffins that were simply spectacular.  The white fish wound up being chunky and satisfying, rather than overly gloppy.  The delicious jar of the spread was topped off with fresh trout roe that popped in my mouth, releasing a subtle kick of seafood flavor.  The heavenly mousse was served with unlimited slices of a toasted, buttery baguette.  Each bite made us swoon, as we fought over the remaining spoonful.  It was at that point that we knew we simply had to continue our dinner at Maysville.   I jumped at the chance to order the Squid Ink Spaghetti, though wound up rather disappointed.  While the accompanying clams and other shellfish were fresh, the pasta had been overcooked, making it rather mushy.  In addition, I was not a fan of the hot chili flake used to season the dish.  However, the Slow Roasted Arctic Char was well-prepared and did not possess an overly fishy flavor sometimes present in that variety.  The nicely cooked filet was served in a cold gazpacho that was smoother than most, so it resembled more of a cold tomato soup than the chunky Spanish version I tend to picture when I hear the word "gazpacho".  Regardless, the broth was so peppery and earthy that it really did not need the fresh vegetables to be included. Overall, I enjoyed Maysville and would gladly return.  However, I did not find it to be the culinary destination I was hoping for.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.123335763; Sentiment_Subjectivity (from 0 to 1): 0.503960155 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had been to Blue Ribbon Sushi in Manhattan and loved it, so I was dying to try the Brasserie.  However, I was extremely disappointed with the food.  My college friend was kind enough to organize a fun-filled Brooklyn Restaurant Week dinner for a large group of us.  First, the restaurant would not accommodate us when we wanted to add an extra seat to the table...ridiculous!  Granted, the place was packed when we arrived, but still, it was ONE seat!  I was happy to see my friends and in a great mood as we were taken to our table.  However, my Blue Ribbon bitterness began to creep over me again as I sampled the food... Going along with the restaurant's dark wood atmosphere, we received a rustic wooden cutting board topped with a circular loaf of white bread.  I have heard great things about the Blue Ribbon bakery, so I was expecting to be blown away with crusty, doughy goodness.  However, the bread was dry, stale, and reheated.  What a letdown!  When it came to the Restaurant Week menu, I was thrilled to be receiving 3 courses for $23, but the quality definitely lived up to the price.  For the first course, I opted for the Mixed Field Greens Salad.  The leafy greens were served without any additional vegetables and were soaked in a lemony vinaigrette.  I tried to go healthy with a main course of Grilled Salmon, but the dish was accompanied by a tartar sauce and mashed potatoes topped with fried onions.  Four sticks of steamed asparagus were the healthy saving grace on the plate.  I always like when my grilled salmon is presented in a square-shaped piece, rather than a long, thin strip as it was that evening.  I do not know if these are two different standard cuts or from different parts of the fish or what, but I find the lengthy version more mushy and fishy-tasting.  The mashed potatoes were powdery and bland.  While i do not like creamy sauces or onions, the mustardy goo and crispy fried onion slices were the most flavorful components of the dish.  For my final course, I went with the Chocolate Chip Bread Pudding.  Bread pudding is one of my favorite things to bake, and I consider myself a connoisseur of sorts.  Normally, this sweet dessert is presented in a doughy mound, but this version was very thin and more like a blondie than anything else.  It was packed with chocolate, but a bit dry for a pudding.  The dish was topped with a scoop of vanilla ice cream and doused in chocolate sauce.  You would definitely have to love chocolate to appreciate this dish. Moving on from the food, the service was friendly, and the wine list was extensive.  Our bottle of Savignon Blanc was fruity and bold, though a bit acidic.  One of the restaurant walls tastefully housed a glass wine cellar, adding some class to the wooden pub decor. Blue Ribbon seemed like a great place to grab a drink with friends.  You could taste the affordable food if you desire, but I would recommend heading next door to their sushi outpost instead.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.145885714; Sentiment_Subjectivity (from 0 to 1): 0.505238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Cafeteria review is based solely on drinks.  I think I may have been there for late-night snack in the past, but I am not sure.  Anyway, I went there last night for a post-dinner drink.  It was a calm night, and we did not have to endure a crowded bar area, obtaining two stools right away.  The bartender was helpful and willing to explain the drink menu.  We decided to order some passion fruit drink with rum and a mixed berry mojito.  The mojito contained chunks of raspberry and was very sweet.  The mint and lime added a kick to the beverage, balancing out the sweetness.  The passion fruit cocktail was not as sweet, but was also a bit bland.  Men beware...if you order the passion fruit drink, it is garnished with a purple flower, haha.   Cafeteria offers both indoor and outdoor seating, dim lighting, and casual fare.  The atmosphere is very hip and trendy, unlike what the name may imply.  It is great for a late night meal, catching up with friends, or a casual date.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.113702381; Sentiment_Subjectivity (from 0 to 1): 0.590146825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Last year I had been watching a program on The Food Network, which included the chef from Basso56.  I consider myself to be pretty knowledgeable about the Manhattan food scene, but had never heard of the Italian restaurant or its chef.  I did some research and was blown away by all of the positive reviews.  I made a mental note to try the spot the next time I was looking for a dining destination not too far from my bus at Port Authority.  Unfortunately, a year went by without a visit to Basso, but a recent recommendation for the place reminded me of my quest.   My brother and I canceled our fancy Restaurant Week reservation in favor of a relaxed, affordable meal at Basso 56.  I scampered through the rainy evening and found him waiting for me outside the restaurant, which was shockingly located next to the classic Patsy's Italian establishment that has ruled the area for years.  While Patsy's serves up classic dishes in a authentic, old-time New York atmosphere, Basso 56 doles out slightly more upscale versions of similar dishes in a more modern environment.   We walked down the stairs and entered the beautifully lit and elegant space.  I smiled with satisfaction, possessing a predictive knowledge that this meal would be better than something found at just any neighborhood Italian spot.  While we lingered on the food menu, I ordered a glass of crisp, sweet Italian Soave Classico wine to help me unwind after a stressful work day.  The dinner menu presented us with a variety of interesting appetizers, homemade pastas, and staple entrees.  Though I tend to avoid pasta dishes, I cannot help but feel obliged to opt for them when a restaurant goes through the trouble of making the noodles from scratch.  We placed our pasta orders and began our carb feast with slices of soft wheat semolina and classic Italian breads.  We were also granted some delicious bruschetta, where crisp toast was topped with fresh chunks of tomato and fragrant olive oil.  A bowl of Mediterranean olives were also presented, though were swimming in an overindulgent amount of oil.   My entree of Paccheri Con Melanzane Ricotta Salata was a spectacular plate of al-dente Napolitan pasta that was tossed with chunks of eggplant.  The perfect amount of tomato sauce added a light earthiness to the meal, and the sprinkled topping of ricotta cheese granted a rich essence.  My brother's Maccheroni, Alla Chitarra Con Ragu Di Agnello was nothing more than a simple, homemade spaghetti that was carefully mixed with a hearty lamb ragu and a dusting of Pecorino-Romano cheese.  The meat sauce was full of savory flavor, but did not bog down the stomach as many others do.  Both dishes were served in the perfect portions, being enough to fill us up without sending us home with heavy leftover containers. We were satisfied with the service, but thought the waiter seemed unnerved when we neglected to expand our meal to include appetizers and/or dessert.  Diners should never feel obligated to embellish their orders. As from that, Basso56 provided straightforward, flavorful dishes at spectacularly low prices.  It takes the neighborhood Italian cafe to an entirely new level.  Please do not wait as long as I did to try it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.201340156; Sentiment_Subjectivity (from 0 to 1): 0.453762563 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tasked with finding a lunch venue to dine with my co-workers.  I needed a place that could accommodate a large group and offered fantastic food.  I had seen so many fabulous reviews for Galli, which was near our place and had an opening for our large party, so I proceeded with that booking.  We arrived about 5 minutes late to this adorable restaurant.  The front dining room was narrow, but had a nice rustic feel.  The large party table here was already taken by another work group, but the host tried to fill the few remaining seats with us.  I clarified that we were a different party of 9, which completely stumped him.  Apparently, they had given away our table...They did have a rear dining room with more space and a greenhouse-style roof, and they were able to push some tables together for us back there.  Thankfully they were able to accommodate us, or else I would have been pretty disappointed and embarrassed! We ordered a bottle of wine to sample, but the first one that they brought out had been corked.  It also had been the last bottle of that variety, so we had to opt for something else, which ended up being flavorful at least.  We also collaborated on a bunch of starters for the table, including their spicy fried Calamari, Parm Sliders (meatball and chicken), Stuffed Mushrooms, and Grilled Calamari.  They were all delicious and gobbled up within moments.  For my entrée, I went with the Kale Salad, which was topped with oranges, almonds, avocado, carrots, and orange-infused olive oil.  Each ingredient was radiant and fresh.  I added Grilled Chicken to the dish, as well, and the strips were moist and well-seasoned.  Many of my colleagues ordered pasta courses, which they enjoyed.  The portions were large, and the sauces looked hearty and enchanting. Despite the few hiccups with the service, Galli's food was perfection.  This was definitely a hidden gem!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.129130592; Sentiment_Subjectivity (from 0 to 1): 0.554473304 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hm, I was not sure how I felt about Bobby Flay or his skills as a real-life, functional chef.  My past visits to Mesa Grill had been inconsistent, and I had heard horrible things about Bar Americain.  So, when his newest spot, Gato, came onto the scene, I figured that it would be wise to delay my visit until there were more reviews published.  I had to admit that I was shocked by all of the positive feedback that I had read, so I jumped at the chance to snag a random reservation for one month or so after the opening.  In fact, that was exactly how long I had to wait in order to secure a table at a decent hour.   When my friend and I arrived at 8 pm on a Tuesday night, it was absolutely packed!  Every seat was taken at both the bar and within the dining room.  However, we were still seated within mere moments of our reservation time - a rarity at top Manhattan restaurants.  I noted that they had Bulldog Gin on their spirits list and combined that with seltzer for a mean cocktail, while my dining companion ordered a refreshing glass of Sancerre.  As usual, we ordered a smattering of menu items, starting with the Roasted Octopus appetizer.  We were shocked to see a mere 2 tentacles on the plate, but found them perfectly cooked and delightfully served with a sweet tangerine glaze, smoky bacon bits, and a dash of herbaceous oregano.  The Pizza With Lamb Sausage was mediocre, however.  The actual meat was well-seasoned and delicious, and we loved the addition of the mint over the mozzarella.  However, the crust and the tomato jam were on the blander side.   We then proceeded to the entrée course, where we enjoyed a pasta dish and a lovely piece of fish.  House made Fettuccine took a dip in the sea with squid ink, Spanish red prawns, mussels, a green onion sauce.  The Steamed Halibut was simply delicious and served in a Mediterranean-style saffron-tomato broth that had been infused with Sicilian olives, mint, and anchovies, all plated over a bed of couscous.  Our side of Charred Carrots added an earthy side to our aquatic main dishes.  The roasted baby carrots were plated with parsnip chips and a topping of harissa, mint, and yogurt.   Now that I have touched on the food, I should mention that our service was fine, but forgettable.  However, the atmosphere was thrilling in a way that only new "buzz" restaurants truly can be - crowded, just lit enough for you to see your neighbors, and with a vivacious thrill in the air.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.104905765; Sentiment_Subjectivity (from 0 to 1): 0.612838753 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had been years since my previous visit to Public for its succulent and unusual Grilled Kangaroo On A Coriander Falafel.  I did not recall loving this zany starter, but I did remember loving a prawn entree, as well as the sexy atmosphere.  I recently had a colleague in from out of town and thought it would be a great place for her to really experience the Manhattan "scene". We were shockingly able to snag a same-day reservation and walked over from our neighboring office.  She was immediately in awe of the elegant decor and trendy crowd.  We were quickly taken to a cramped table, but managed to experience very helpful service during our uncomfortable stay.  We chose a white wine from their "Unique Whites" list that we had never even heard of - a 2010 Stadlmann "Tagelsteiner" Rotgipfler from out of Thermenregion, Austria.  Its accompanying description ("red apple and green pear scented wine which also shows herbal spices and creamy texture") had been intriguing and spot-on.   For starters, we enjoyed the a smooth and creamy Rabbit Rilette, which was served with buttery toast.  We also sampled the Marinated White Anchovies, which were delicious themselves, but the quinoa croquettes that they were served upon were pretty dry and crumbly.  For entrees, we loved our plates of Salmon and Venison. After seeing the menu for and pictures of the Public brunch, I will definitely plan on heading there on a weekend afternoon next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254166667; Sentiment_Subjectivity (from 0 to 1): 0.550833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: El Cocotero offers an authentic Venezuelan experience in a quiet, intimate atmosphere.  The small space manages to provide comfortable seating surrounded by South American art and large exotic potted plants.  Candlelight provides the majority of the illumination.  An open kitchen provides a sneak peak of the tastiness to come. The affordable menu offers a variety of white corn arepas and green plantain (aka Tostones) sandwiches, paninis, and more elaborate specialties like flank steak with rice, beans, and plantatins.  My Pollo Con Aguacate pressed sandwich offered a crisp mix of juicy grilled chicken, fresh avocado, and onion squashed between doughy French bread.  While less authentic than an arepa, it was still enjoyable.  I also sampled some of the Cazon, which was shredded baby shark.  It tasted similar to a canned albacore tuna, but with a lighter fishiness.  It was fresh and delicious. The menu also provides a variety of tradition drinks, including Venezuelan beer.  My Guarapita was a light and fragrant blend of champagne and passion fruit puree.  The sweetness was intoxicating. El Cocotero provides the 3 A's of a great restaurant; it is adorable, affordable, and authentic.  It is definitely worth the visit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.238253968; Sentiment_Subjectivity (from 0 to 1): 0.503174603 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my colleagues suggested adding Bite into our food delivery repertoire, and since she is one of the more adventurous eaters in the division, I figured that it had to be great.  And, frankly, it was! The delivery time was fairly fast and accurate, plus the deliveryman was extremely courteous.  My Mediterranean Salad was to die for!  What could have been a basic blend of fresh baby greens, roasted almonds, and pine nuts was topped with a healthy dollop of hummus, sauteed eggplant, roasted red pepper tapenade, and a Middle Eastern Chopped Salad (cucumber, etc.).  I did not even wind up using my side of salad dressing, since all of these hearty toppings rendered it completely unnecessary.  In addition, the accompanying pita bread was moist and doughy, versus the usual cold, tough variety that comes straight out of a package.  Lastly, the Arnold Palmer was a well-balanced blend of iced tea and lemonade, with each ingredient being proportionately represented. Bite is definitely one of the few places that I will constantly look forward to ordering from!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.125555556; Sentiment_Subjectivity (from 0 to 1): 0.494583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 across Mezetto while searching for restaurants near my office.  I had never heard of the place, but found the positive reviews and attractive website very appealing; it looked like a fun and unique destination for tapas and cocktails.  So, when I was trying to come up with a dinner destination for my friend and I last week, I thought that this would make for an entertaining spot.   We met up outside the cute corner cafe and walked in to claim our table.  We were pretty apprehensive when the place was almost entirely empty on a gorgeous Wednesday evening, but the breeze wafting in through the open facade pushed any doubt to the back of our minds.   Apparently, Wednesday was "Ladies' Night", which allowed me to snag almost any martini, house wine, or cocktail for $7.  I opted for the Passion Fruit Caipirinha, which was decent, but possessed a strong tart lime juice component that overpowered the included passion fruit.   Our server was an absolute delight; he was extremely forthcoming with his recommendations and also allowed us to proceed through the meal at our own pace.  As most of the menu items were meant to be shared, we started discussing our preferences and proceeded to order a variety of dishes.  The Labane was a smooth yogurt spread that was topped with roasted red peppers, olive oil, and sumac, all of which combined to add the perfect hint of seasoning.  This dip was served with a large slab of charred flatbread.  The intense grilling added a smoky flavor that really melded well with the creaminess of the yogurt.  Mezetto's signature Falafel Buns were also a pleasant delight.  The steamed dough was perfectly cooked to that ideal gooey stickiness.  The chickpea balls were very crisp and obviously deep-fried, but were very well-seasoned.  The Israeli pickle salsa and harissa aioli  were fabulous and really added a "wow" factor to each sloppy bite.  The Chopped Greek Salad was certainly a hefty portion.  It contained ripe cucumber, as well as pickled onions and tomatoes for acid, plus Kalamata olives for a briny tang.  The inclusion of feta cheese added another layer of texture to the dish.  As much as I enjoyed the salad, I wish there had been some black pepper sprinkled over it.   The Truffled Gnocchi were so large that they more closely resembled ravioli.  The potato filling had a slight hint of freezer burn after-taste, which led us to believe that they had previously been frozen. The mixture of portobello, shitake, and porcini mushrooms, along with a few artichoke hearts made for a divine rich, gravy-like sauce.  Plus, the truffle added a heavenly aroma that could be smelled from across the table.  Lastly, the Calamari Ceviche was spot-on in terms of texture, but was way too acidic.  We liked how the bowl of tentacles were uniquely tossed with fennel, radish, celery, mint, and pomegranate seeds, but found the lime zest vinaigrette simply too intense.  In addition, the fennel had been left as lengthy strands, making each forkful extremely messy. Mezetto was definitely more of a 3.5 star experience, both for their interesting take on Mediterranean fare, as well as for their amiable service.  I would definitely revisit the space, but would hope for livelier crowd the second time around.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.248505026; Sentiment_Subjectivity (from 0 to 1): 0.559144104 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cafe Cluny offers a quaint gourmet experience in the heart of the West Village's cobblestone lanes.  My friend and I stopped in on a Friday evening without reservations and were seated in about 20-25 minutes, which seemed better in comparison to the other neighboring restaurants.  We scored a table in the corner of the small front dining area.  The opposite corner housed a tiny bar with a country neighborhood feel.  Cafe Cluny also has a larger rear dining room, offering patrons a more spacious environment for enjoying their culinary delights. We were served with a smile; our waiter was so cheerful that it almost appeared fake.  The smile never left his shining face- even when the server offered me the wrong appetizer... This brings me to the rich and flavorful cuisine.  For appetizers, we started with the Tiger Shrimp and Octopus Salad.  The Octopus Salad was a plated cylinder of octopus tentacles wrapped around Nicoise olives, fried peppers, preserved Meyer lemon salad, and some other fresh herbs and vegetables.  The salad was light and flavorful, a large contrast to the creamy Tiger Shrimp grilled to perfection and plated over handkerchief pasta, peas, and tomato confit in a truffle and garlic sauce.  YUM...This was one of the best appetizers I have ever had the pleasure of sampling!  The sauces was rich and aromatic.  The pasta was delicate and light.  I was also able to snag a quick bite of the appetizer they dropped at the table accidentally.  It was the Hen of the Woods Mushrooms and Spring Vegetable Salad that mixed the bold taste of the mushrooms with the acidity of a citrusy dressing.  I preferred the mushroom salad and shrimp to the octopus salad. Since we ordered around 9 pm, we were able to order entrees off of their late-night bar menu.  I tried the Grilled Tuna Burger, and my friend tried the regular Hamburger.  Both were served with our choice of French Fries or a garden salad.  We opted for the salad.  My bite into my friend's large, moist burger led to a sigh of happiness.  My tuna burger was perfectly grilled, tender, and well-seasoned.  The mixed greens salad was tossed with a light dressing.   Our neighbors at the next table ordered the short ribs entree, which looked insanely rich.  I overheard them discussing how much they enjoyed it.  The large mound of short rib was plated over creamy mashed potatoes and covered with a thick, creamy fois gras sauce.   Cafe Cluny also offers a menu of speakeasy-ish cocktails and a wide selection of wines. An evening at the charming Cafe Cluny is truly an experience with indulging.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198635913; Sentiment_Subjectivity (from 0 to 1): 0.453214667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Forge is a brand new restaurant in the Tribecca area of Manhattan.  It is located on a quiet side street offering a relaxing atmosphere.  There is a small outdoor patio offering quaint street views, while the indoor dining room and bar areas are decked out in hip and trendy decor.  The interior is full of dark wood, illuminating tea light candles, and large mirrors.  The hosts and servers are all very friendly, but it is obvious that the restaurant is still getting working out their opening kinks.  My friend and I were seated at a wobbly wooden table, which the waiter did quickly fix, however the couple sitting next to us said that their table had the same problem.   Another area that could use some adjustment was the cuisine.  While my food was delicious, my friend's was quite bland.  Everything was very inconsistent.  We started off by being served homemade potato rolls with a carmelized onion butter.  The rolls were dense and moist.  The butter added some delicious flavor.  We were also served an amuse bouche of potato salad topped with a dab of caviar.  The potatoes were extremely undercooked, and the caviar provided the only real flavor in the dish.  For appetizers, we tried the Grilled Octopus and the Chicken Nuggets.  The octopus salad had been recommended to us by the neighboring table, but we were not impressed.  The dish was accompanied by hearts of palm, roquette, and an almond pesto, but was still very bland.  I had read a description of their chicken nuggets on their website and was not disappointed.  The nuggets consisted of free-range chicken chunks mixed with red and green peppers and deep-fried.  They were crisp on the outside and offered a savory spiciness on the inside.  The nuggets were lying on top of a smoked onion cream sauce, which complimented the nuggets quite nicely.  There was a small cole slaw-ish accompaniment topped with raw green beans also on the plate.  This, however, was uninteresting.   I ordered the Black Sea Bass as an entree and was also very satisfied.  The sea bass was stuffed with baby sorrel mushrooms, the skin was kept on, and then it was wrapped with crisp, salty prosciutto.  Four small cockles were topped each of the four large pieces of wrapped fish.  There were four small potato slices in the middle of the bowl, which acted as a necessary side dish, though a larger portion might have been nice.  The whole dish was sitting in a thin mushroom broth.  The dish was a bit salty, but full of tangy flavor.  My friend ordered the chicken special, which was so bland and uninspired that I cannot even remember the details of it... For dessert we shared the Cinnamon-Sugar Donut.  This warm, moist dough was sprinkled with sweet cinnamon and served atop poached peaches.  While inline with the summer season, I did not think the peaches went well with this dish.  They were very tart.  A scoop of toasted almond ice cream topped the donut, though I did not think it had any flavor.  The ice cream definitely needed more almond extract.  The large donut was oddly plated with a munchkin donut hole of the same flavor.  My friend enjoyed this course more than I did; I found the decadent donut and bland ice cream a continuation of the inconsistencies. The prices at Forge were also pretty steep with entrees ranging from $26-$36.   I would consider going back to the restaurant after they get their act together, because I do like the fact that they plan to change the menu "frequently".; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.075020109; Sentiment_Subjectivity (from 0 to 1): 0.550327138 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had been wanting to check out Burger & Barrel for a while now, but since I try to avoid the heavy, meaty namesake sandwich, I needed some motivation to get me there.  Well, I was recently planning a lunch with some colleagues, both of whom were more partial to traditional American fare than my foodie indulgences, so this seemed like the perfect occasion.   The restaurant was gorgeous.  The decor was decidedly masculine with dark wood and in a library feel.  The rustic environment was perfect for a burger establishment, but the upscale and trendy vibe proved that it was by no means a casual dining space.  The tables were large and spacious as well.  Plus, the service was quick, friendly, and knowledgeable.   My selection of the B & B Chopped Salad was a fresh delight.  The large bowl was full of romaine lettuce, hearts of palm, tomatoes, asparagus, corn, feta, and Kalamata olives.  I added some grilled shrimp, which were sublimely cooked to a browned perfection.  I also replaced the accompanying creamy ranch dressing with the herbaceous aged sherry vinaigrette for a lighter touch.  Everything was just so crisp and flavorful; it truly was one of the best salads that I have had in a long time.   Also, from what I could tell, the humongous burgers looked tantalizingly juicy.  I did, however, try one of my co-worker's French fries and found it rather dry and unseasoned. Regardless, Burger & Barrel was a terrific addition to the neighborhood.  The atmosphere and cuisine went hand-and-hand to create a delightful dining experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.250749559; Sentiment_Subjectivity (from 0 to 1): 0.544091711 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cafe Habana is a hipster Mexican eatery hidden away beneath the grime of an old corner diner.  It is not unusual to have a celebrity sighting at this cool hangout, which was even featured in the Lenny Kravitz "Again" video.  The small space is equipped with a few booths, several cramped tables, and an old-fashioned diner counter.  Due to the limited space, there is often a line stuck in the entrance way vestibule or spilling onto the street.   My co-worker and I stopped in for lunch the other day and waited only 5-10 minutes to snag a table.  While we waited, we were disgusted to notice the waitress sweeping toothpicks, straw wrappers, and piles of crumbs right onto the floor!  How unsanitary can you get?!  However, once I sampled the food, I was able to ignore the mess under my feet.  My Grilled Chicken and Corn Salad was a huge portion of mixed greens, expertly marinated chicken, sweet corn kernels, and tortilla strips.  The house dressing was tangy and mustardy.  It added a delicious seasoning to the dish.  My colleague's Cuban Style Roast Pork was tender and juicy.  Our side of Tostones were crisp and more moist than most; they were definitely the best I have ever tried.  Lastly, we topped off the meal with my first (and certainly not my last!) Michelada - a Corona blended with lime juice and Tabasco.  It was a tangy and refreshing treat. Cafe Habana serves up tasty, traditional Cuban food at affordable prices.  However, consider yourself warned that your shoes might be sticking to the floor and your server might not be the friendliest.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.085416667; Sentiment_Subjectivity (from 0 to 1): 0.50141369 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grey Dog's Coffee seems to be spreading across the city, with new locations constantly gracing my presence.  This particular cafe happened to be much more spacious than many of the others, but still possessed its signature rustic decor that made me feel like I was in a giant tree house.   We conveniently placed our order and easily found a table, despite the slight crowd.  My Country Style Salad was ready quickly and flawlessly.  The humongous plate of mixed greens was topped with extremely fresh grape tomatoes, cucumber, red onion, pea shoots, and chick peas.  It was served with a light house vinaigrette that offered the perfect balance of seasoning.   My lunch was very enjoyable, and I was happy to learn of another location of this delightful cafe.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.360151515; Sentiment_Subjectivity (from 0 to 1): 0.572560606 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finding a delicious Mexican restaurant in the city has proven to be a challenging task.  After reading all of the fantastic reviews and interesting menu options for Ofrenda, I was dying to give it a shot.  I was thrilled to see a Gilt City deal for the hot spot and purchased it immediately. Well, I finally made it to the restaurant last night, but was sadly a bit disappointed.  Upon our arrival, the hostess told us that since we were early for our reservation, we would need to wait about 10 minutes until our table was ready.  This was not ideal, since we were starving, but luckily we really were seated in just 10 minutes.  However, the restaurant was rather tiny, and the tables were crammed up against one another.  Our small, square table was in such an awkward position that we were instructed to shift it around to make room for the waitstaff to get by.  Also, the place-settings were displayed next to each other versus across from each other, as that was the only suitable option.  Between that and the heater on maximum blast, the space was rather stuffy and constricted.   Our waiter approached us rather promptly and was extremely friendly, even after I mentioned that we would be using the Gilt deal.  He explained that it included 2 appetizers, 2 entrees, 1 shared side, and 2 cocktails.  When I inquired if we were limited to a set list, he cheerfully declared that we had our pick of everything on the menu, even for our cocktail choices.   This was a welcome turn of events, as vast options are usually not offered when using coupons.   My bright pink Mexican Lady concoction included jalapeno tequila, mezcal, prickly pear, lime juice, and agave syrup.  It certainly was sweet, but the tequila packed a smokey kick that balanced it out.  I think that might just have been one of my favorite cocktails ever.  My boyfriend's Flor & Luna contained some of my preferred beverage components like vodka, St Germain, blackberry puree, mint, and lemon juice, but had a very odd taste.  It was sweet, but something tasted off...Perhaps there was too much lemon juice?   For our appetizers, we decided to share the Tortilla Chips and Guacamole, as well as their Seafood Stew.  A few moments after placing our order, the waiter delivered the sad news that they were out of the stew.  We decided to go with the Quesadilla instead and were also informed that our next round of beverages was on the house.  What a fabulous gesture, especially with the rather steep beverage prices!   The food arrived in a timely manner and was elegantly presented.  The chips were crisp and mildly salted, though pretty heavily fried.  The guacamole was light and full of fresh avocado chunks.  However, it was also stuffed with onions but would have benefited from some salt and pepper.  The quesadilla possessed a lot of great flavor with its topping of "Mexican cream", but it was served at room temperature and tasted as if it had just been nuked in the microwave. My Halibut entree was also less than stellar.  While the fish had a perfectly crisp top layer, the filet itself was rather over-cooked and completely flavorless.  It was served over a puree duo made from rutabagas and I believe squash.  These were both very tasty.  The plate also included some delicious roasted cauliflower, but a terrible brussel sprouts slaw.  It was an unique mix of components that did not really work together.  My companion's steak, however, was very flavorful and perfectly grilled, even though the waiter had failed to inquire about a temperature preference.  The meat was accompanied by a large chayote stuffed with cheese, fingerling potatoes, and a charred tomatillo salsa.  Including both chayote and potatoes made the entree too starchy for my liking, but the potatoes were delicious.  We also ordered the Fried Plantain side dish.  The sweet plantains were thankfully not greasy and were served over thin slices of milky queso fresco and drizzled with a bland cream.  They were pretty decent.  Lastly, for our complimentary cocktails, I wound up reordering the Mexican Lady, but my boyfriend switched it up with a blend of tequila, cucumber, and a house spice mix.  It was refreshing, tart, and fiery; he definitely preferred it over the Flor y Luna. Ofrenda did not fulfill my dream for Mexican decadence, but it was a decent experience.  We agreed that it was a place we would return to, but not go out of our way to visit.  The search continues!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.148054588; Sentiment_Subjectivity (from 0 to 1): 0.576437282 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my friend suggested that we have dinner at Baker & Co., I agreed with hesitation because it sounded like some sort of Panera Bread or Au Bon Pain quick service spot.  However, once I reviewed the website, I realized that it was, in fact, the happening restaurant that I had walked by only a week or two before, and I became excited.  I met my friend in front of the restaurant on a Wednesday evening at 9 pm and was shocked to see that it was completely packed.  I thanked my lucky stars that I had made a reservation in advance!   The hostess took us through the crowded bar and into the rear dining room, which was also aflutter with chatty diners. There was even a back garden section, but we decided to stay inside with the air conditioner.  We relaxed into our comfortable table and kicked off the meal with some rosemary breadsticks and a ricotta spread topped with an olive tapenade.  The bread basket also included some less interesting slices of dry artisan white, but I loved that they thought outside the standard butter box.  I went ahead and ordered a glass of the Sangria, which was a summery concoction that included white wine, peaches, berries, vermouth, and Prosecco.  My friend and I skipped a starter course and went right for the delectable pastas that surrounded us on every neighboring table.   My companion went for the special pasta-of-the-day - a Pappardelle with chunks of lobster and in a lobster and shrimp bisque.  While the sauce had a hint of cream in it, that was all it was - just a touch.  The broth was packed with flavor without being overly rich or heavy.  It was heavenly!  My Garganelli was topped with crab meat, mullet roe, tomatoes, and saffron bonito flakes.  Again, the sauce was light, but tasted like the sea.  The pasta was perfectly cooked with the slightest hint of an al dente bite.  These were two of the best pasta dishes that I had enjoyed in quite some time.  In addition, our service throughout the meal was extremely attentive, friendly, and thorough.  In fact, one of the bussers even asked us if we had another course coming before clearing our placemats.   I would recommend Baker & Co to anyone looking for a fun and casual spot for a date or dinner with a friend or two.  The larger portions and affordable prices would also be a big draw, making this worthy of a 4.5 star rating.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.208640553; Sentiment_Subjectivity (from 0 to 1): 0.523348694 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been wanting to take a bite into the world of Batali cuisine and found this a great entrance into his culinary vision.  In a spur of the moment decision, my friend and I decided to grab a Saturday lunch at Lupa.   The dining room is a rustic, Italian-style home-away-from-home.  Though a bit cramped at the communal table (that is what happens when you do not have reservations!), I enjoyed sitting next to a young family, international travelers, etc.  It just added to the cozy experience...and believe me, that is not something I would normally be advocating. In terms of the service, our waiter was extremely attentive, possibly to the point of being a bit much.  However, he was also friendly and provided some great recommendations. The meal started with some delicious Parmesan-topped foccachia bread.  I then started with the Baccala with Potatoes, which contained massive chunks of Baccala and large Yukon potatoes.  They were in a very light mayo-ish sauce.  I enjoyed this new spin on potato salad, but thought it needed some more seasoning...pepper, perhaps?  My friend ordered some of the sliced Italian meats, which were delicate and full of flavor.  For an entree, I tried the Skate with Clams & Rabe.  The skate was lightly sauteed and full of flavor.  The dish was out-of-this-world!  My friend ordered the Spaghetti alla Carbonara, which we found bland.  The spaghetti was perfectly cooked, but the sauce was more like a meat sauce than the traditional ham and cream Carbonara we are used to.  The dessert menu was not really enticing, but the cheese selection sounded quite interesting. I would definitely return to Lupa to try the dinner or enjoy the delicious skate again.  The cozy environment also makes it an appeal place to escape the fall chill.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.280470934; Sentiment_Subjectivity (from 0 to 1): 0.595041435 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: From the street Empanada Mama appears to be a small, fast foodish Latin restaurant.  However, I was shocked when I entered the cozy dining room.  The space had a wall of exposed brick and several small dining tables.  The back of the space showcased an open kitchen and wine/beer display.  The cafe actually has a great cocktail list as well.  The menu consists of an entire page of empanadas, made from both corn and wheat flour.  Other Latin entrees, such as Arroz con Pollo (chicken and rice), are also served at affordable prices.   Unfortunately, I was not very hungry when I met my friend at Empanada Mama, so I just stuck to two glasses of red sangria.  Never before had I seen sangria served in a large milkshake glass.  The tall drink even included a long-handled spoon to sample the large chunks of fruit floating in the sangria.  This was great news for me, because now I did not have to be my classy self and fish the fruit out with my fingers :)  The sangria itself was sweet and included a decent amount of brandy in addition to the red wine. My friend ordered the Palomilla a La Plancha, a grilled sirloin steak marinated in various herbs and served with white rice, beans, salad,  and chimichurri sauce.  The meat was pounded thin and extremely lean.  The spiced marinade added a real Latin flavor that was absoltuely delicious. The service was extremely down-to-earth as well. Empanada Mama is Latin home cooking at its passionate best.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.062359944; Sentiment_Subjectivity (from 0 to 1): 0.549229692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stopped by Prosperity for a quick dumpling fix one afternoon.  The place was rundown and not much to look out...or even much to stand in, for that matter, given that it was only a small takeout joint.  Their price of 5 dumplings for $1 was a complete steal, especially given that each variety was packed with flavor and composed of delicate noodles.  We all preferred the boiled to the fried and the pork to the veggie.  The highlight were the pork and chive type, which were full of a juicy marinade that leaked out with each taste.  Sure we had to eat standing up and with a wad of napkins in one hand, but boy was it worth every messy bite!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.073611111; Sentiment_Subjectivity (from 0 to 1): 0.544907407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What is a good lunch place in Brooklyn? I hear one of our Manhattan sales reps ask another who lives in the borough.  As the Brooklynite pondered the question, I quickly launched into my research routine.  Since I would also be attending the client lunch, I rushed to find my wish list and started sending her links in a rapid fire procession.  She burst out laughing about how neurotic, yet typical for me, this was.  When she came across my suggestion for Stone Park Cafe, she was impressed.  She loved the promise of clean, market-fresh ingredients just as much as I did.  We quizzed our Brooklyn-based colleague about the spot, and he responded that he and his wife had enjoyed one of their favorite meals there.  Done!  We were sold.  Apparently, my research trigger finger had located a top-notch option before Mr. B Borough had the chance.  Score one point for the New Jerseyian...Ohhh yeah! The day soon arrived, and the sales manager and I engaged in a pleasant midday road-trip out of the hectic city.  We easily navigated to the cafe, which was located on bustling 5th Avenue in Park Slope.  Though we had been warned about parking difficulties in the area, we were immediately able to snag a spot right in front.  We headed into the almost deserted restaurant and found it quite charming.  It had the homey, down-to-earth feeling you would expect from a restaurant with such a straight-forward cooking style.  The busboy offered us the option to either sit at one of the few front tables neighboring the bar or to grab a spot in the back dining area.   We decided to sit in the forefront with its sunny atmosphere and view of the main street.   Our youthful waiter approached and inquired about our beverage preferences, sweetly referring to my co-worker as "Dear".  He walked away and left us puzzlingly staring at each other.  "Did he just call me 'Dear'?!" she asked, clearly taken aback.  We laughed at the ridiculous, and mildly condescending, salutation.   Lunch was off to a humorous beginning.   Our clients arrived, which triggered the waiter's immediate attempt to have us order.  We shooed him away with a plea for an extra minute to review the menus.  We decided to start by sharing the Frisee and Arugula Salads, following those with our own courses.  The Frisee Salad was tossed with shiitake mushrooms and crispy bacon bits.  A fried poached egg patty lay atop the mound of greens, resembling a ball of breaded goat cheese, but containing a hidden golden center. The smokey, salty bacon enriched and added depth to the other earthy ingredients.  Cooked cranberry beans and marinaded artichoke hunks hid beneath the other salad of fresh arugula.  The flavors were perfect for the seasonal transition into fall.  A dusting of Parmigiano Reggiano added an elegant sweetness.  Both starters exemplified the restaurant's theory of cooking.   Again, the staff checked in several times, trying to remove our plates before we were finished.  We finally conceded our remaining scraps and made room for our entrees.  For all of their effort, my colleague was still delivered the wrong sandwich.  Regardless, she enjoyed her side of Summer Corn Soup, topped with a spicy wasabi crème fraiche and bold chives.  She also loved her Oyster Po' Boy, which looked like a delicious mess of fried shellfish, celery root remoulade, and bibb lettuce on a crispy roll.  Our clients also enjoyed their gourmet BLT's, which included braised pork belly, vine tomatoes, bibb lettuce, and roasted garlic aioli on toasted artisan bread.  I decided to sample another starter instead of a main plate and was happy with the portion size.  My Octopus Salad was essentially a long, coiled octopus tentacle that had its arm around chopped greens, cherry tomatoes, and sourdough croutons.  A preserved lemon black pepper vinaigrette added a slight, subtle kick.  The octopus was just tender enough to be perfectly sliced, however, it was rather dry...and looked it as well.  Our side of delicious, crisp French fries was accompanied by a tangy chipotle mayo dipping sauce.  It was quite the feast of market ingredients. We turned down the option to continue the meal and requested the check.  Suddenly, the staff decided now was the time to take a break and chit-chat.  We had to literally walk over to the gaggle of young men and place a second request for the bill.  A neighboring table also had to approach the waiter to put in a request for bread.  We finally settled our bill and headed out into the beautiful afternoon. Stone Park Cafe was an adorable addition to the Park Slope culinary scene.  The food was light, yet flavorful.  The service was the main downer, but not enough to ruin the thought of a repeat visit, though I would opt for the more elaborate dinner options instead next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263437342; Sentiment_Subjectivity (from 0 to 1): 0.555461468 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 second I read about The Gander, I was eager to give it a shot, especially since I never visited Recette, the chef's other restaurant.  I could honestly say that every aspect of my experience was simply fabulous.  When I got to the restaurant, I was informed that my friend was already waiting for me at the bar and that our table would be ready momentarily.  The gracious hostess stopped to pick us up from the lengthy bar, placed my friend's glass of wine ever so elegantly upon a silver platter, and escorted us to the sprawling rear dining room.  The atmosphere was certainly a bit of an enigma in that the service was top-notch and the clientele was very upscale, but the decor was more showy and ostentatious.   Our server came over almost immediately to confirm our water preferences and present us with the tantalizing menus.  We were so over-whelmed by the amazing food list, that we needed to order a beverage while we debated.  We settled on the Champagne Cocktail, which was a crisp and fruity blend of Brooklyn Gin, passion fruit puree, and sparkling wine.  It had almost a peachy quality and was perfectly refreshing for the end of the spring season.  In addition, we munched on the Brisket "Tots" bar snack, which our server declared was becoming a "signature dish".  These decadent morsels of tender brisket had been stuffed with cheddar cheese, wrapped with a thin layer of potato, and fried to the perfect golden crisp.  A mustard cream was provided as a dipping sauce. Our server returned and was greeted by our praises of the crunchy nuggets, which we followed up with by placing the rest of our dinner order.  In addition, the sommelier paid us a visit and recommended an interesting varietal that tickled both of our palates and came in below our ideal maximum spend.  The Etna Rosso, Tenuta delle Terre Nere, "Guardiola" was a Southern Italian red from Sicily.  The 2011 vintage came in at an affordable $65.  The food portion of our meal continued with the Crispy Calamari Salad, which was essentially a massive ranch-dressed Caesar look-a-like topped with snap peas, grapes, cashews, and some of the best fried calamari I have ever had.  We proceeded to a pasta dish called caserecci, which was covered in a hearty braised rabbit ragu and included unique ingredients like honey mushrooms and green almonds.  The $40 Dry Aged Sirloin was the priciest item on the menu, but boy was it worth the cost.  Despite not being asked how we wanted it prepared, the meat came out a tender and juicy mid-rare.  It was topped with an herbaceous pesto and served alongside succulent hen of the woods mushrooms and a powerful garlic puree.  The side order of Rotisserie Cauliflower was almost an entire head!  The roasting was contrasted with the pickled flavors of capers and anchovies.  As stuffed as we were, we could not end our meal without even a hint of sweetness, so we hedged our bets with a scoop of curried mango sorbet.   Our experience at The Gander was one that has stuck with us, goading us to return time and time again.  The service, food, and beverages converged to create the perfect dining adventure.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.298503401; Sentiment_Subjectivity (from 0 to 1): 0.597278912 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been a fan of Top Chef since Harold Dieterle took home the infamous title at the end of season 1.  I was thrilled to meet the skilled culinary artist at the Foxwoods Food and Wine Festival several years ago, fresh off his victory and accompanying celebrity chef, Tom Colicchio.  Plans of Harold's determined quest to open an intimate dining destination spread throughout the Manhattan foodie fan base.  When Perilla actually opened in 2007, I quickly added it to my wish list.  Unfortunately, I only made it there recently, but was blown away by the understated complexity of the flavors bursting forth from each dish. Perilla is the perfect neighborhood restaurant.  The atmosphere is personable and low-key, but with an air of sophistication.  Candlelight illuminates the space, but large overhead lamps ensure that you can still see your companion.  A small bar greets you at the entrance and is followed by various tables and booths, providing seating for parties of all sizes. The service is extremely quick and efficient.   My friend and I took our seats and grabbed for the beverage menu to appease our stressful work days.  While my friend settled on a pleasing glass of Sauvignon Blanc, I opted for the signature Spring Fling cocktail.  The airy drink consisted of vodka, rhubarb, St. Germain, and club soda.  The fizzy beverage was enhanced with fruity, seasonal rhubarb.  I took a sip from the straw and leaned back in my booth, fully relaxed at that point.   We moved onto the food menu and spent an endless amount of time debating the teasingly good options.  We placed our orders and started to gossip over our moist olive bread.  We began our culinary adventure with the Raw Fluke appetizer.  The fresh fish was sliced in a thin carpaccio-style and plated with smoky chorizo, salty sea beans, jicama, cilantro, lime, and drizzled with a cockle gelee and avocado puree.  Though this sounded like a substantial combination of flavors, they all worked well together to enhance the mild fluke.   Our entrees continued the parade of contentment.  I decided to try the Sautéed Triggerfish, though I had never tasted it before.  The medium-bodied, moist white fish packed a similar flavor to a halibut.  It was served atop fresh ramps and eggplant, then infused with a cucumber-green almond relish and mussel curry.   My friend ordered the special Cod, which was wrapped in a shell of crisp ham.  The outer layer of pork folded over with each incision, causing the tender cod to blossom between the ham petals.  Mushrooms and sugar snap peas pursued the crunchy theme of the plate.  A spicy mustard sauce tasted as at home over the savory ham as it would atop a smoked hot dog.  The fried green Edamame Falafel balls were extremely well-seasoned and provided the perfect amount of crunch in each bite.  A tart, creamy lemon-tahini dipping sauce cooled the spice that danced on our tongues.   Our meal concluded with a mountainous Rhubarb Sorbet Cake.  A layered parfait started with a base of dense crème fraiche.  A thick strip of cold rhubarb sorbet composed the next step up, and an additional scoop of creme fraiche topped off the rich sandwich.  A pond of fresh rhubarb puree surrounded the glacier of a cake.  A thin oatmeal crisp accompanied the dish and was covered by a scoop of intense peanut butter Chantilly, which tasted as ripe and reminiscent of the peanut butter sandwiches we enjoyed as children.  The dessert was a combination of elegance and fun.  Delicious mini chocolate chip cookies, which tasted similar to that amazing version by Entenmanns', were sweet bonuses served along with our check. I know that each of these courses sounds like an overwhelming mix of random flavors and textures.  However, each essence had a way of maintaining its individuality, while, at the same time, melting together without muddling or overpowering.  Perilla's meals are truly an example of culinary art at its finest - understated yet valiant.  This place is a must!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.108028609; Sentiment_Subjectivity (from 0 to 1): 0.534106985 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fabulous service and innovative cocktails are served up in this seductive and classy book lair.  The patrons are all well-dressed and not afraid to order refined beverages, like my companion's requested Sazerac Old Fashioned.  (I do not recall ever hearing anyone specifically order Sazerac as a liquor...)   My cocktail of gin, raspberries, and egg whites was frothy and tart.  Their Bamboo cocktail is sadly off the menu, but can be ordered by VIPs, like another one of my lucky companions.  The unique concoction of East India Sloera Sherry, Amontillado Sherry, Chamery Dry Vermouth, Angostura Bitters, and Orange Bitters is smooth and possesses the perfect balance of smoke and citrus. The NoMad Library may be very pricy (house-made drinks come in around $15), but the sophisticated vibe is worth the visit, as it will make you feel like a million bucks as well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.281547619; Sentiment_Subjectivity (from 0 to 1): 0.738095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I absolutely love Malaysian food, and, after seeing such great reviews of Nyonya, I had to check it out.  As I was running out the door to head to the restaurant, I quickly checked the restaurant website and saw they were affiliate with the Penang chain.  Now, I love Penang, but I was disappointed to learn this was not a stand alone traditional hidden gem.  Regardless, I made my way down to Chinatown and stepped into an average looking dining room that packed little excitement. The menu was very affordable and packed with options.  My friend and I started with the pig intestine, which was probably the grossest thing I have ever eaten.  Believe me, I eat a lot of random and crazy things, but this really smelled like intestine...Think about it....or rather, don't... For an entree I ordered the Sarang Burong, which was a bowl of shaped fried taro stuffed with shrimp, chicken, corn, snow peas and black mushroom and topped with cashew nuts.  This is the same dish I order at Satay Malaysian Restaurant in Hoboken, however, this was much more greasy and less flavorful.  The coconut rice was also disappointingly sticky and not quite sweet enough. While Nyonya was decent, I actually like their Penang sister restaurant much better.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.000267094; Sentiment_Subjectivity (from 0 to 1): 0.502457265 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend and I stumbled upon Ruby's while walking aimlessly around Soho in search of a lunch destination.  Most of the tables were full at this adorable cafe, but we were lured inside by the large windows and jovial time happening within.  We were lucky to grab one of the large tables overlooking the street and settled in to review the menu, which consisted of standard lunch options with a gourmet flare. We placed our order and glanced at a mounted Ruby's review on a neighboring wall.  Apparently this cute, trendy bistro was centered around Australian culinary flavors - not something you often come across in Manhattan.  The framed write-up was extremely positive, so we looked forward to digging into our meals. My crispy panini was stuffed with Italian tuna and fresh tomato.  A creamy slathering of goat cheese replaced the mayonnaise that usually accompanies a tuna sandwich.  The fish was also elegantly sweetened with a lime dressing.  This interesting combination actually worked well together, providing a mix of tang and smokiness.   The baguette encompassing the fresh ingredients was hearty and crunchy.   The sandwich was also served with a side salad of mixed greens in a sweet balsamic vinaigrette. My companion's Chicken Avocado Salad was also sublime.  The hefty bowl of field greens was topped with a herb grilled chicken breast, avocado chunks, and hard-boiled egg slices.  The chicken had been pounded thin and was served warm.  The meat was perfectly cooked and tender.  The same balsamic dressing had been poured on top of these savory greens. While both dishes came in large portions, they possessed a fresh and light quality to them.  We were able to finish our meals and leave satisfied, not stuffed.   Ruby's casual atmosphere and clean, simple cooking style make it a fantastic lunch destination.  It is a great place to share an intimate conversation, watch the trendsetters shop around Soho, or just enjoy a leisurely meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.206431664; Sentiment_Subjectivity (from 0 to 1): 0.574721707 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recently taking a friend out for her birthday and had sent her several restaurant options to choose from.  She requested that we visit the Wallflower, hands down.  Now this was a destination that I had included based on the fact that it was a new gig for a previous Daniel mixologist and due to its spectacular reviews.  I met my friend inside the small, empty space on an early Friday evening.  She was already seated at the bar, which had an comforting, early 1900's vibe.  It was almost like a speakeasy, but with a sunnier disposition.   We decided that we were ready to switch to a table and requested one of the small ones outside on the quaint sidewalk, just off the main drag of Greenwich Avenue.   While my companion was already sipping her beverage from inside, I needed to order something so that I could catch up with her.  I began with The Fake Russian, which included Lapsang Souchong Tea-Infused Absolut Vodka, Lime Juice, Smoked Pineapple Syrup, Green Chartreuse, and Bittermens Habenero Bitters.  I had never had anything like that, and I absolutely adored it for that very reason.  The smoky, fruity flavor made it taste like I was drinking a puréed, grilled pineapple - yum!  My friend and I took a glance at the food menu, and decided that we were more intrigued with their snack options than their larger plates.  We ordered the Country Pate & Pickled Vegetables, which came with a few slices of crunchy toast.  The pate was smooth, creamy, and flavorful.  The crisp vegetables were fresh and ripe with briny flavor.  Our gracious and friendly server then went out of her way to give us each a sample of the Ricotta Cheese, served with Fennel & Golden Raisins - another menu option that we had considered.  Sadly, we found the cheese too delicate and lacking any hint of richness.  By this point, I had polished off my initial beverage and followed it up with the Arlay Sour, a highly aromatic blend of Chamomile Infused-Citadelle Gin, Chateau D'arlay Macvin Du Jura, Lemon, Juice, Honey Syrup, and Lavender Bitters.  The drink was way too floral for my liking.  In fact, it almost tasted like I was drinking soap, and the lavender pedals sprinkled on the top did not help. The adorable atmosphere, paired with the friendly and helpful service, would drive me back to the Wallflower.  Plus, I feel like I should try other options from their interesting European wine and fancy cocktail lists, given my varied experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.06806849; Sentiment_Subjectivity (from 0 to 1): 0.407827667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Malt House was a rustic, upscale bar/pub with a wide selection of beers.  They carry only American brews, many of which are craft varieties.  Despite the vast options available, I stuck to a Hendrick's gin and soda on my visit, but I enjoyed the upscale, yet casual vibe and will surely be back to sample the beer.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.088888889; Sentiment_Subjectivity (from 0 to 1): 0.540740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Over the past year, I have become an avid fan of Szechuan cuisine and its fiery aromatics.  Prior to the opening of Han Dynasty, Hot Kitchen had served as my go-to destination, leaving this new spot with big shoes to fill.  On the night of our visit, we were greeted by a 15 minute wait time, which was a promising sign of things to come. As usual, we went crazy and ordered a ton of food!  The simple Spicy Crispy Cucumbers were shockingly my favorite dish of the meal.  The crunchy, raw vegetable slices were full of zest.  The Beef and Tripe in Chili Oil was insanely mouth-numbing, and its flavor took a while to dissipate from my mouth.  This was a bit frustrating as it made it hard to experience the true flavors in the subsequent dishes.  The Mapo Tofu with minced pork was good, but not something I would likely order again.  The Dan Dan Noodles, on the other hand, possessed a uniquely buttery texture that was delightful, though I have had spicy versions elsewhere.  We also ordered the Pork Belly Double-Cooked Style, which featured a bold and breath-killing mix of leeks, hot peppers, fermented black beans, and chili oil.   It was absolutely delicious!  The Shrimp in Garlic Sauce was the least spicy dish of the bunch, but we could not get enough of its sweet and sour sauce.  The plate also incorporated fresh vegetables such as bamboo, wood ear mushrooms, and bell peppers.       While I definitely enjoyed Han Dynasty, I felt that some of the dishes had been more satisfying at Hot Kitchen.  I think I am just going to have to "suffer" through a few more meals at each in order to really make a clear verdict, ha!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.11720962; Sentiment_Subjectivity (from 0 to 1): 0.576176263 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 secret is out about this fabulous date spot.  Alta oozes intimacy with its candlelit tables, rustic exposed brick, and cozy tables.  Delicious scents waft through the air, as a feeling of anticipation fills the diners.   Reservations are highly recommended so that you and your guest can really experience the hip atmosphere in the bustling dining room.  Without a confirmed spot, you will likely be limited to bar stools, but the comfortable feel will still ensure that you have a fabulous experience.   Many patrons start their meal with a glass of white or red sangria, which is definitely the best cocktail option.  The white version is rather sweet, but refreshing.  Their list of mixed drinks is just as traditional, offering all of the traditional standbys.  The Ginger Mojito is packed with rum and an overwhelming sense of mint, rendering any ginger essence almost imperceptible. The tart cocktails are balanced off with an assortment of savory small plates chosen off of their lengthy menu.  The Bacon Wrapped Dates and Olives includes two of each round morsel stuffed with almonds.  The smoky bacon adds a crisp savoriness to the sweet dates, and the seedless olives are mild and flavorful.  A tiny cube of Striped Bass Sashimi puts forth only a subtle flavor when topped with a fragrant truffle soy vinaigrette, crisp artichokes, and chive oil.  Fresh Tuna Tartare is uniquely blended with hearts of palm, chorizo, and macadamia nuts.  Any health benefit of ordering the Brussel Sprouts gets lost beneath their crisp exterior layers and toppings of crème fraiche, pistachio nuts, and Fuji apples, but each sinful bite is deliciously worth the calories.  Skewers of Gulf Shrimp and Chorizo are grilled to perfection and plated with dollops of avocado cream, warm garlic, and sherry vinaigrette.  Though many people are not fans of raw meat, the Carpaccio of Beef packs a kick with its toppings of horseradish créme frâiche foam and orange slices.  The Avocado Relleno is stuffed with an unique blend of crabmeat, shrimp, frisee, and orange.  The flavor combination is a bit off-putting and, with so many other options, it is not a must.   Alta exudes sex appeal from the shareable plates to the sultry decor.  This is a fantastic destination for an intimate evening.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.179421323; Sentiment_Subjectivity (from 0 to 1): 0.56317863 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Being a bona fide New Yorker, I rarely dine at hotel restaurants in the city.  However, I had heard great things about The Strand Hotel's namesake restaurant.  I was in the midst of researching options for a dinner with one of my friends when I came across the dining establishment's hip website.  I could not help but smile at the pictures of a jovial bartender mixing up a cocktail; the space's beautiful decor complete with fireplace and stocked bookshelves; and many other images iconic of a true American restaurant.   Upon my arrival, I was saddened to see that the restaurant was virtually empty on a beautiful summer Thursday.  My friend and I were ushered to a comfortable corner booth, where we able to sit next to each other on perpendicular cushioned ledges.  Our side perch provided us with a full view of the space with its beautiful fish tank, large bar, and other dramatic features.  Our efficient server was on the top of his game, constantly checking in on us.  He presented us with menus full of appetizing goodies, so we decided to order drinks and buy ourselves some additional decision time.  We both settled on the Twisted Ginger, which included a blend of Canton Ginger, rosemary, fresh lime juice, Van Gogh vodka, and "real ginger aesthetics".  My friend loved the sweet, tart concoction, but I found it more reminiscent of puckering sour mix than spicy ginger.  Where was the kick that I had craved...We soon placed our order and sat back to enjoy raisin semolina and multi-grain rolls.  Both were light and doughy, but the raisin variety could have used some cinnamon or extra raisins.  The bread was served with a delicious spiced tomato spread that I preferred to devour with my fork rather than the uncomplimentary raisin bun.   Regardless of these slight flaws, I really cannot complain about the remainder of the meal.  The Crispy Calamari appetizer possessed just the right amount of breading and a slight crisp without much grease.  The golden ringlets and tentacles were topped with diced red peppers and served on a platter with dollops of spicy mayonnaise, both of which jazzed up the traditional starter.  My Seared Salmon entree was also fabulous!  The fish was served exactly to my liking with a slightly crunchy top layer.  It had been seasoned with the ideal balance of salt and pepper.  The fish was served over marinated vegetables that were aromatic and seasonal.  A chive oil acted as a herbaceous drizzle to incorporate more depth into the dish.  Though I was reassured that the sweet corn puree did not contain any cream, I declined the accompaniment after learning it did have butter in it.  Sure, the side sounded even better with the mention of this decadent condiment, but when offered a replacement side salad, my head overruled my stomach and veered me in a healthier direction.  This side of greens included tomatoes and a few other vegetables, but the real highlight was its tangy vinaigrette.  Yummy!  My friend also took a lighter route by ordering the Ginger Marinated Tofu.  Large slabs of the soy protein looked dry upon first glance, but were unbelievably moist and tender.  They were laid atop roasted Japanese eggplant, baby bok choy, and Portobello mushrooms - a mixture that never fails to satisfy.  A light Asian-style dressing draped the meal, but the kitchen had used the perfect amount, leaving no additional puddles on the plate. We were so impressed with our main courses that we just had to steer the meal back to its more sinful roots (see Crispy Calamari appetizer) with a sweet dessert.  Now I am no stranger to bread puddings, as they are one of my favorite things to bake and eat;   however, the restaurant's Warm Chocolate Bread Pudding blew me away.  It was the perfect texture - not too cakey or too much like a custard.  It was warm, gooey, and packed with cocoa.  The chocolate was not excessively rich, but was still decadent, so it would appeal to all levels of chocoholics.  We replaced the side of vanilla ice cream with a strawberry sorbet, which was not overly sweet since an aromatic rose petal essence had also been incorporated. The service was fantastic, and we were continually monitored throughout our meal, both by our waiter and the maitre'd.  The maitre'd, Nelson, even chatted with us upon our departure to ensure that we had enjoyed our visit.  I told him that I would definitely return and that he had a true gem on his hands.  I meant ever word; I would highly recommend making the voyage to this otherwise bland area, regardless of if you were a tourist or a local.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.261923882; Sentiment_Subjectivity (from 0 to 1): 0.522792128 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sripraphai Thai is rumored to be the top Thai restaurant in the Manhattan-area, but I unfortunately have to disagree.  The hype surrounding this "authentic" Thai eatery made this a must on my foodie list.  However, I found the food bland and uninspired.  The prices were affordable, but the service was lackluster. In terms of the cuisine, the menu was massive, including a ton of specials.  The Roast Duck Salad was an uneven mix of savory and spicy, varying with each bite.  The Sauteed Bean Thread with Shrimp & Chicken was bland and greasy.  The Bean Thread looked and tasted more like pasta than anything.   The best part of Sripraphai was that they sold pre-cooked meals, Thai delicacies, and packaged snacks in the front of the store.  This way you could buy your own authentic ingredients and have a better go at creating the dishes off the menu... Do not get me wrong Sripraphai was not terrible, but it certainly was not the best either.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.176719577; Sentiment_Subjectivity (from 0 to 1): 0.716005291 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ilili pulls off what many gorgeous restaurants cannot; it offers an exciting lounge area, plus fabulous food.  You can actually enjoy a full evening of fun at the spot, drinking and eating until your heart is content.  The vibe is hip and trendy, but the food does not suffer because of it.  The large lounge includes sprawling banquettes adorned with velvet cushions and spacious coffee tables.  The space is perfect for large groups and parties.  Two packed dining rooms compose an elegant environment with soaring ceilings and dynamic, architecturally-advanced decor.  The consistently full space and lure of unique Lebanese food drew me in, but the food brought me back a second time. On my initial visit, my companion and I found the service rather irritating.  Our robotic and annoyingly persistent waitress continued to interrupt our conversation with her script-like efforts to advise and feed us.  She was so pushy, in fact, that the majority of her assigned tables were oddly chowing down on the same dishes, though the menu was extremely lengthy.  Luckily, my return trip was celebrated with a friendly and helpful waiter, redeeming my faith in their service. Instead of a traditional beginning to our meal, ilili thought outside of the bread basket by delivering a platter of Mediterranean-seasoned flat-breads with a strained yogurt spread and some fragrant green olives.  I drank down the crumbly crisps with a signature cocktail called the Fresh Meadow.  The beverage was a blend of gin, St. Germain liquor, mint, ginger, and a swizzle stick of cucumber.   The $13 glass was lacking in alcohol potency and ginger pizazz, but it was tart and refreshing nonetheless. The menu began with a selection of hot and cold mezzas (appetizers) and continued to list several larger plates.  However, the restaurant's concept centered around sharing.  Once the food began to arrive, it was served with some hot, inflated pita breads.  The hollow rounds were moist and delicious.  A cold starter of Mouhamara was composed of three mounds of sassy, rich sun-dried pepper mousse.  The spicy flavor was slightly sweetened by pomegranate molasses.  A few crunchy walnuts added texture, but the plate could have used some additional nuts.  Warm, crisp Brussels Sprouts were fried and caramelized by a fig puree.  The green morsels were served in a large bowl, tossed with grapes, walnuts, and mint.  This fantastic medley was more like a side dish than an appetizer, but enjoyable regardless.  The hummus was smooth, lemony, and addicting.  Traditional Fattoush and Baba Ghannouj salads were well-seasoned and flavorful.  Cone-shaped pitas of Duck Shawarma were stuffed with tender, lean meat; chunks of fig; green onion; garlic; and pomegranate seeds.  This savory, fun dish was the highlight of the meal. When it came to the small-portioned entrees, the satisfying flavors only continued.  Moist Tuna Kebabs were perfectly grilled and seared, plus served with crisp peppers.   The Scallop Siya Dieh included two large diver sea scallops that were also expertly sauteed, offering sweet, caramelized exteriors.  A bed of black squid ink risotto lay below the shellfish, which were sandwiched by crispy onion strands on the opposing side.  The decadent dish was comforting and enjoyable.   Two fantastically seared lamb chops were served medium rare with a Lebanese salsa verde and fire-grilled, herb-roasted tomatoes. My duo of dinner visits to ilili were essentially flawless.  The cool atmosphere and delectable food made this an all-around fantastic spot worthy of 4.5 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205037478; Sentiment_Subjectivity (from 0 to 1): 0.570838845 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My first trip to Distilled was for an after-dinner drink with a colleague.  We toasted the end of a long work day with their champagne cocktail that included rhubarb puree.  Despite it being a bit sweet, it was absolutely delicious, and we wound up indulging in two each.  In addition, the bartenders were upbeat and friendly, even though the space was completely packed. I returned to Distilled a few months later for a birthday brunch celebration.  The restaurant was certainly less crowded, but still had a cool, relaxed vibe.  My Bloody Mary's (yes, there was more than one...) were extremely well-balanced, but possessed  a powerful kick from pepper and spice.  My friend's Bellini-style champagne cocktail was sweetened by a thick peach puree.  Our drinks were complimented by an Indian-spiced popcorn, which was simply irresistible!   My friend and I splurged by splitting a half portion of wings to start.  The "small" order actually included 5 large hunks of moist chicken with a heavily fried, crisp crust.  Each morsel was covered in a sweet and tangy terriyaki-style sauce.  For my main dish, I ordered the Kale Salad, which was topped with baby carrots and golden raisins.  I also ordered roasted mushrooms as an addition to the salad, which they thoughtfully piled on the side of the bowl for me to incorporate as I wished.  The mushrooms were perfectly cooked and made the dish even heartier.  The salad was delicious, but there was a bit too much tart mustard dressing poured on it. Well, another birthday had come to a close with a delightful meal and plans to return.  I rarely go into the city for weekend brunches, but Distilled would be worth the voyage.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177200577; Sentiment_Subjectivity (from 0 to 1): 0.529617605 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 some drinks with friends, I wanted to grab a quick dinner to bring home and enjoy in front of the television.  I stopped at Ellary's Greens after discovering the healthy and interesting menu online earlier that same week.  I walked in and smiled at the wooden décor that made me feel like I was in a treehouse.  The seating options included a large square communal table, a lengthy counter, and standard separate tables.  I had to approach the hostess on my own, but she graciously assisted with the menu and expediting my order. Though completely unseasonal, I ordered the Pumpkin & Kabocha Squash Salad simply because I loved the namesake ingredients and the included enoki mushrooms and port-marinated figs.  I also splurged to try the side of Brussel Sprouts, which were served with roasted apples and hazelnuts in a verjus.  The smells emanating from the bag tantalized me for the length of my trip home, so I wound up attacking the takeout cartons as soon as I hit the couch.  I started by opening the salad, only to discover that the "pumpkin" was really of the seed variety and that there were no figs included.  Though disgruntled by the inaccurate advertising, I enjoyed the kambocha squash the rest of the dish.  The brussel sprouts were a bit greasy, but delicious. Regardless of my inconsistent experience, I was so intrigued by the menu at Ellary's Greens that I would definitely want to return and give some other plates a try.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.276130952; Sentiment_Subjectivity (from 0 to 1): 0.479285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Funnily enough, my friend recently sent a Cuba birthday dinner invitation to our group of college buddies.  He included the link to Yelp's reviews of the restaurant, where my previous 3-star commentary held a cameo.  Sure this spot is adorable and full of character, but the food is just a step above mediocre.  However, I did enjoy my dinner experience more than my previous lunch trip.   The cozy cafe features a hidden back dining room, as well as dark underground seats on the lower level.  A small Cuban band plays authentic tunes, mixing well with the candlelight to provide an intimate dining experience.   Cuba was packed during my Thursday evening visit, but it must have been well-staffed, because our waitress was frequently hovering around us.  We all decided to get this birthday party started with a sweet cocktail.  My mojito was extremely strong and could have benefited from additional lime juice.  The group also shared a few appetizers to balance the alcohol buzz.  The ham croquettes were heavily fried, but delicious.  The crispy exterior did not mask the smokey ham flavor within, as is typically an issue elsewhere.  The fried, green Tostones were fantastically topped with fresh garlic, adding flavor to a side dish that rarely leaves a lingering essence.  The Roasted Pork Tamale, however, was mushy and bland.   My Pollo Manigua entree contained two thinly pounded grilled chicken breasts and a salad of fresh watercress, avocado, scallions, and tomato.  All of the ingredients were fresh and led to a very light menu option.  My friend was presented with a smark-adorning chunk of celebratory Tres Leches Cake.  The pastry uniquely incorporated coconut and pineapple essence to the milky classic dessert.  Though the pineapple was barely perceptible, the coconut milk and chewy shavings provided a fruity sweetness and texture to the creamy cake.   We stopped to grab a freshly rolled cigar from the Cuba man working away at a corner table in the front dining area.  As with an after-dinner cocktail, the complimentary smoke was a great way to end the meal.   Though I have found both of my Cuba experiences positive, for some reason, I cannot get myself to reward it with 4-stars.  My exit from the restaurant did not leave me with the lingering urge for a follow-up visit, so I am sticking with my original 3-stars of approval.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.133665224; Sentiment_Subjectivity (from 0 to 1): 0.552246272 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 anyone that says size does not matter, you have yet to try Big Wong King...This Chinatown destination has been serving up traditional Chinese fare and savory barbecue ribs for quite some time.  Upon entering this standard dining room, you will be greeted by hanging Peking ducks and saucy ribs.  Though I have little interest in ribs, the shiny golden glaze made my mouth water.  A friendly, but all-business server attacked and quickly sat us at a cozy table in the back area.  This decor is extremely bland, with standard tables and chairs, random silverware in a bucket on each table, and those small crumbly napkins that just quite do the trick.   The menu is shockingly affordable, with some complete entrees costing only $4.50!!  These prices were even cheap for lunch (which I was there for), but I understand this menu is served all day long.  The Barbecue Spare Rib appetizer comes with several small pieces on the bone.  I did not try them, but thought they looked very tender and coated with the perfect amount of sauce.  The Singapore Chow Mai Fun was only $5.50, but was a massive bowl full of angel hair pasta, spicy peppers, perfectly roasted pork slices, onions, and curry seasoning.  This dish could serve about 3 people!  The Chicken with Seasonal Vegetables came was essentially sliced chicken and Chinese broccoli in a rich brown gravy.  A huge heap of white rice was provided to sop up some of the rich, yet non-greasy, sauce.  Lastly, the Shrimp Omelet was a large egg pancake stuffed with scallions and shrimp.  This was also served with a scoop of rice.  While the omelet was cooked perfectly and was much less oily than most, it was also a bit bland and could have benefited from some type of sauce.   All in all, my meal at Big Wong King was one of the best I have had in Chinatown.   It was also the easiest to get a table and most affordable.  I highly recommend making a visit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103154762; Sentiment_Subjectivity (from 0 to 1): 0.504751553 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 colleague suggested that we enjoy a leisurely lunch at Rubirosa, and, since I had heard a number of positive things, I easily concurred.  We sat at a small table in the casual, rustic dining room; in fact, the table was scarcely large enough to fit a full pizza pie if we had ordered one. Instead, we shared the Roasted Octopus appetizer.  The tentacles were succulent and tender.  They were plated with a fresh blend of baby Yukon gold potatoes, fava beans, tomatoes, and mint.  Some strategically included Kalamata olives added a briny, saltiness to round out the flavor profile.  This dish was completely delicious.  A side of Broccoli Rabe that had been roasted in garlic and olive oil was also tasty. My Italian Tuna Sandwich special, on the other hand, was nothing spectacular.  The overly fishy chunks had been blended with diced celery and carrots for an added crunch , but was served on a generic, bland white hoagie roll.  The lame sandwich toppings included the standard iceberg lettuce leaf and tomato slice.  The accompanying side salad of mixed greens, cucumber, tomato, and radish was much tastier, given its flavorful vinaigrette. All in all, I would give Rubirosa 3, to potentially 3.5, stars.  While it was perfectly fine, I was disappointed that it did not live up to the positive buzz that I had previously heard.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.082739961; Sentiment_Subjectivity (from 0 to 1): 0.4919279 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A group of us were scheduled to meet for a Sunday dinner at Swine at 7:30 pm, a suggestion of mine based on their interesting menu and positive buzz.  For once, I was the first to arrive and was a bit put-off by the empty dining room (no matter how rustic and amusingly decorated it was), while next door Red Farm had several parties waiting outside.  The rest of my bunch arrived, and everyone disregarded my trepidation about the poor turnout for dinner service.  I tried to push the doubt to the back of my mind and enjoyed my cocktail.  In fact, we all had fantastic drinks, so I have no complaints on that front. The food, however, was another story.  None of us are shy when it comes to our meals, so we had decided to order a wide selection of menu items.  When we asked our server about the Zucchini Blossom, he told us that they were out of it and that even if they did had it in stock, we should not order it, as it was "a rip-off".  He said it was "over-priced" and included only one lone blossom.  As much as we appreciated the tip as diners, I cannot say that he would be the type of waiter I would want servicing my restaurant!   We started our meal procession with a massive cutting board that included Foie Gras Torchon with apricot jam, Duck Prosciutto, Beef Tongue Pastrami, Chicken Liver Mousse with cornichon relish, Country Pate, Pleasant Ridge Reserve Cow cheese from Wisconsin with a bacon marmalade, and House Made Ricotta with watermelon jam.  The Pleasant Ridge Reserve cheese, pastrami, and mousse were the standouts, in my opinion, but the whole spread was really enjoyable.  Plus, the included crusty bread was a hearty accompaniment. Next, we moved onto the Deviled Eggs, which possessed a splash of sriracha, for a fabulous kick.  The sprinkling of chives on top were also a perfect addition that set these bites above others I have had elsewhere.  The FG & J sandwich included creamy foie gras torchon, covered with a sweet strawberry balsamic and a light dusting of sea salt, served on buttery toast.  This delightful treat made me realize that I was glad to be an adult, enjoying my sandwich with foie gras instead of peanut butter!   At this point, though, things went downhill.  The large hunk of sweet chili-glazed Pork Belly was tough and mediocre.  The accompaniment of spicy pickled cabbage was fine, but nothing unusual.  The Pickle Plate included this same cabbage, as well as shishito peppers, and bread & butter and spicy cucumbers.  It made for a playful addition, but was nothing overly awe-inspiring. The warm corn salad with quinoa, peaches, lime, sour cream, and mint was better than I had expected the odd mixture to be.  In fact, it was rather the hearty, fruity grains were rather addicting.  The side plate of Potato Wedges were greasily infused with jalapenos, San Queso cheese, and cilantro, making them rather flavorful.  The low point of the meal though, was the seared tuna.  The four measly slices cost around $20 and arrived at the table in an odd, dark purplish color.  My friends claimed their slices, as I finished up other items on my plate.  Just as I was about to scoop up the remaining piece of fish, they each put theirs in their mouths and their faces immediately bunched up in disgust.  Apparently, the fish had was not fresh - something you would not expect from a restaurant that well-regarded. This literally left a bad taste in our mouths, and we decided to ask for the check and head home, not likely to return again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103435077; Sentiment_Subjectivity (from 0 to 1): 0.534305525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only took about a year and a half for me to make it back to Locanda Verde for another meal.  However, I recently started brunching in the city on Sunday afternoons and naturally thought to check their menu, which I was immediately drawn to.  Thankfully, I had made reservations two weeks in advance, because my arrival was greeted with a packed dining room.  Despite this fact, they had actually been holding a table for us, unlike many popular restaurants in Manhattan, and we were immediately seated. Our server was hilarious - super friendly and made us laugh with each of her visits to our table.  This was just an additional way to put a smile on our faces as we enjoyed a delightful meal in the buzzing atmosphere.   We started with cocktails, because, hey, it was Sunday, so why not!!  Their Bloody Mary included a skewer of Italian hot pepper, mortadella, and olive.  The actual tomato juice mix did not appear to have much black pepper or horseradish, but certainly packed a powerful kick of spice regardless.  However, I did discover a large amount of vodka when I reached the bottom of the glass...not that that is necessarily a bad thing...The Sloe Gin Fizz was an extremely light mix of the said alcohol with club soda and a dash of grapefruit juice.   Locanda has a reputation for delicious baked goods, so we were excited to receive complimentary foccacia squares topped with caramelized onions.  Now, onions are one of the only ingredients that I tend to avoid, but with its slightly sweet and charred flavors, this savory bread was too heavenly to pass up.  I insisted that we continue our carb party with an order of their famed Sheep's Milk Ricotta.  The large mound of fluffy, creamy cheese was topped with an aromatic truffle honey and a shaving of black truffle.  They could have plated this decadence with bland, standard bread, but they smartly realized that slices of crunchy burnt orange toast would only enhance the flavor of the mouthwatering, sweet honey.   When it came to our main courses, we had such a difficult time deciding, so we opted to go crazy and order 3 dishes.  We thought that we would be fine, as long as we declared that we would take home any leftovers.  If only we had known better!   First, fluffy sweet slices of thick bread were crusted with hazelnuts and topped with stewed sour cherries to form the perfect French Toast.  Then, a large grinder/sub roll was packed with a thick sausage that was sadly over-stuffed and over-worked, but topped with a flavorful Italian-style blend of crisp broccoli rabe, spicy peperonata, and rich ricotta.  Lastly, our perceived standout was the "Scampi and Grits".  A sweet, smooth organic polenta puree was topped with tomatoes, sausage, shrimp, and sunny-side-up eggs.  An herbaceous pesto sauce had been spooned on top of the shrimp as well.  Despite the lack of texture, I was in heaven with these ingredients simply melting in my mouth.   I also have to mention the bold cup of well-balanced coffee that I enjoyed before we rolled out of the restaurant with a destroyed table left bare in our wake and our bellies stuffed with breakfast treats.  Oh well; so much for leftovers!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.143452381; Sentiment_Subjectivity (from 0 to 1): 0.532703081 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently went to dinner with one of my college friends and was telling her about my passion for all things culinary. She found my excitement infectious and recommended that I meet her other foodie friend that was an active blogger on the topic. We arranged a group dinner and each provided destination suggestions. While I was obviously leaning towards my choices, his firm preference for Hagi intrigued me. I scanned the menu and delighted in the news of its frequently long lines and hard-to-spot location. I sensed that this was a sort of hidden palace and agreed to try it. So, the other evening, I headed into the barren food wasteland that is the Theater District. I exited the Rockefeller Center subway station and proceeded to stroll down the crowded 49th Street block towards 7th Avenue. About two-thirds down, I noticed a flock of people eagerly standing outside of a Japanese restaurant. I instantly assumed that it must be Hagi, but a different name was displayed across the awning. A neighboring Japanese ramen shop called Sapporo was obviously not the right spot either. I made it to the end of the block and circled back towards 6th Avenue, assuming I had walked right past my destination. However, I still could not locate it. With a puzzled look, I made my way back to where the hungry crowd had previously been loitering. I inspected the store fronts with the precision of an anxious dog sniffing along a trail. Finally, I spotted an open doorway leading down to a mysterious cellar. A small piece of paper above the frame spelled out, "Sake Bar Hagi". The words flashed before my eager eyes, and I dashed down into the hidden dining room to join my friends. The narrow staircase widened at its base to introduce two cramped eating areas overlooking a grungy open kitchen. My friends hailed me over from their spot in the corner, and I rushed to their side just in time to put in my requests from the lengthy menu. Each plate of Japanese authenticity was served up in relatively small portions, best shared tapas-style amongst the group. We let my friend's buddy, the Hagi veteran, order for the table and were not disappointed by the breadth of food we received. A bowl of cool yam strips were topped with a mound of gelatinous Raw Octopus that had been coated with a light wasabi glaze. I rarely like the spicy flavor of this condiment or anything of a mushy consistency, but the freshness of the slippery fish and mellow essence of hotness were a delight. Crisp, thin French Fry ribbons were served with a creamy, roe mayonnaise dipping sauce.  The mayo just heaped fat calories onto the already greasy snack, but they were irrestible regardless.  Sausage-shaped tubes of Deep-Fried Oysters were perhaps my favorite dish of the evening.  Like with mozzarella sticks, a bite through the crunchy shell revealed the gooey interior.  The oyster filling did not possess the salty, fishy taste it often provides (a positive thing in my mind...or, rather, my stomach).  A large Cabbage Salad was tossed with tender Pork Belly and a creamy marinade.  This savory meat packed its usual flavor without the chewy fat that often accompanies it.   The Grilled Yellowtail Collar was moist and perfectly cooked.  Its salty crust truly enhanced the flavor of the fish.  Fried Rice with Spicy Codfish Roe had a savory flavor that was lightly sweetened by flecks of shredded egg, though I did not feel the fire the dish's name suggested.  Large Octopus Croquettes were molded into chewy round balls and topped with a sweet miso barbecue glaze.  The Codfish Dumplings were steamed and probably the healthiest part of our meal, but they also were the most bland.   You would think this massive assortment would pack our bellies, but we plowed on, adding a Yakatori assortment to our meal.  Skewers of Grilled Chicken, marinaded Steak, and herbed Chicken Meatballs were all savory and delicious.   Our meal concluded with a grilled red bean pancake with our choice of ice cream.  The dessert resembled a mini panini of dough that had been pressed around the sweet, dark filling.  The red bean ice cream was creamy and possessed the perfect hint of sweetness. Though our waiter had neglected to deliver our order of fried tofu, the kitchen kept our dishes coming quickly and at a reasonable pace.  We were able to enjoy several meals at a time without feeling any pain. What an evening!  I had met a new crew of restaurant mavens, dined at an authentic hidden gem in the midst of Times Square, and could now add raw octopus to my list of interesting food adventures.  I will definitely be returning to Hagi...and next time I will know exactly where to find it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.069927346; Sentiment_Subjectivity (from 0 to 1): 0.467262649 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recently making dinner plans with one of my friends who loves to frequent spots in the West Village.  We had considered visiting Market Table several times in the past, but had instead opted for other similar destinations, such as Perilla and Centro Vinoteca.  So, when I emailed her my typical list of possibilities, she immediately responded with an enthusiastic vote for Market Table.   I walked into the dimly lit entrance area and was pleasantly surprised by their massive wine showcase.  The brick walls were elegantly stocked with shelf upon shelf of various bottles.   The open kitchen was interestingly visible from the few tables surrounding the host stand.  An intimate dining room lay just beyond this space and included a small, but packed, bar.  The furniture was made of dark, sturdy wood and the decor provided a casual and sultry feel.  Large floor-to-ceiling windows allowed for prime people watching.   The cuisine was another highlight of this relaxing spot.  My friend and I decided to share the Crispy Calamari and Beet Salad appetizers.  The fried squid ribbons were tender and larger than I was used to seeing.  They were served over a lettuce and guacamole salad.  A zesty chili crema added a bold kick, and a dash of cilantro brought some earthiness to the dish.  Our salad starter was composed of multi-colored beet cubes tossed with a small amount of tangy horseradish cream, fresh goat cheese, and fried shallots.  It was a fantastic blend of colors, textures, and flavor profiles. The entrees were also dazzling.  My Grilled Arctic Char was recommended medium rare, but I asked for medium well, preferring a crisp exterior on my fish.  Unfortunately, the skin topping arrived extremely burnt.  The fish itself, though, was still decently moist and cooked through.  The char was served over delicious creamed leeks that got better and better with each spoonful.  This dish was true comfort food.  The accompanying shiitake mushrooms were sadly tough and tasted like shoe leather.  A balsamic drizzle across the dish added acidity to balance the cream.  Crispy onion curly-q's topped the fish, adding a subtle layer of texture.  This would be an amazing plate, if only the mushrooms could be removed.   My friend's Seared Halibut was delicate and moist.  It was glazed with a sweet hazelnut brown butter and served over a generous portion of butternut squash risotto.  The delicious Arborio rice was packed with chunks of squash and shavings of other fall vegetables.  This side was perfectly creamy, without being a gooey mess.  I found it to be the better of the two fish entrees. Though some of the desserts sounded enticing, my friend had yet to sample the cupcake greatness that is Sweet Revenge, so I decided to drag (ok, who are we kidding, she rushed there willingly) my friend down the street for some post-dinner treats.   We both thoroughly enjoyed our visit to Market Table and would be happy to return.  This was a true neighborhood spot, providing fantastic local fare in a comfortable environment.  However, do not let the locals enjoy all the fun; this destination is worth the trip!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.179755504; Sentiment_Subjectivity (from 0 to 1): 0.592149898 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I finally went back today! I was so happy :) I think this place is such a wonderful place to go for lunch, definitely worth it! A good place to get the food to go, and go sit in the sun and eat your lunch at the park right a couple of steps away. It's inexpensive and of course delicious! The lamb sandwich was DELISH, all the flavors went together very well. I couldn't decide to get the spinach pie or the chicken boureki. Ended up with spinach, i guess that just means I have to go back AGAIN to try the chicken =P Love love this place...but the ppl who work there are kinda of not very friendly...but it's new york...not california...so oh well. I'm just there for the food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.260948773; Sentiment_Subjectivity (from 0 to 1): 0.60501443 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolutely amazing. I came here for lunch special for chirashi don, but they ran out :( I was so sad. Instead I got a mixed shashimi with soba noodle set. Their raw fish is very fresh and probably the best I've tried so far. The fish comes out in room temperature, and they literally melts in your mouth. For desserts, the green tea ice cream and red bean manju are awesome too. It's just the right amount of sweetness and you can really taste green tea and red bean flavor. I'm definitely coming back early next time to eat their chirashi don!!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.107604396; Sentiment_Subjectivity (from 0 to 1): 0.463434066 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the safflower olive oil to dip the bread in. It was so fragrant and flavorful. I came here with a friend for brunch on the weekend. It wasn't too bad of a wait. We had a benedict jane and benedict johnny. The johnny was really good with the chicken sausage and corn bread pancake on the bottom. Everything was flavorful and the ingredients went very well together. I'd definitely come back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.014285714; Sentiment_Subjectivity (from 0 to 1): 0.530952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Duck breast! Deliciouuuuuuuus! My friend's sweet and spicy catfish was pretty good too! The service was excellent, the people are friendly, it's a nice intimate setting. Love it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.534375; Sentiment_Subjectivity (from 0 to 1): 0.74375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute little place with little chairs and tables with holes in them that you can put your fries through :) And the ladies who work there were very friendly. The fries were good, very substantial and filling. I'm a fan of the wasabi mayo ^.^ A regular size is more than enough for two people.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25125; Sentiment_Subjectivity (from 0 to 1): 0.562692308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my birthday, expecting it to be just mediocre....but DAMNNNNNN this place is pretty damn legit! Everything is pretty darn good, from blackened catfish to jambalaya and everything in between!!!!! Also, vodka lemonade ;) a must, hehehe. Left this place, of course, happy and way too full! Definitely a place to come back to!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338888889; Sentiment_Subjectivity (from 0 to 1): 0.627777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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-maaaaaaazing! Came her for dinner with a friend. This is a really small place so it wouldn't be good for a large group. The restaurant is really cute and the waitresses were nice. My friend got dinner set A and I got dinner set B. B is definitely better than A. A is more like a breakfast meal and the side dishes were okay. Both sets of dinner were okay...I'd give it maybe 3 stars for food. Each set comes with tea and a dessert picked by chef. Tonight the chef picked red bean mochi and green tea pound cake with sake ice cream on top. HOOOOOWEVEr....we ordered more desserts cuz we actually realllly wanted the chocolate mochi (3 of them - which the chocolate fudge/ganache on the inside was quite heavy....i didn't think it was super special) AND the black sesame creme brulee with a scoop of sesame ice cream on top. The creme brulee was HEAVENLY....ORGASMIC!!!!!! I'd go back there any day just to eat it!!!! This dessert was definitely asian fusion DONE RIGHT! I'm in love! ::sigh:: =); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321374459; Sentiment_Subjectivity (from 0 to 1): 0.483441558 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally got to come here with a friend on a Friday night.  They only do the prix fixe dinners on Sundays - Thursdays. The service was excellent. My friend and I shared a small curry mussel appetizer, which was delicious because it reminds me of thai coconut curry and had a lot of garlic in it! For entree, both of us got the seafood shepards pie. It was decent, but was completely different form what I had imagined. The seafood was chopped up so small that you can't really tell what you're eating, and the mashed potatoes was kind of on the heavy side. Finally, we ended the meal profiteroles, which was okay too. It was drenched it in dark chocolate, which was kind of way over the top for my taste. Also.....I think (but not sure) that our entrees were suppose to come w/ four sides of veggies, which we didn't get and I didn't realize until i looked at the other tables after we finished our meal. Meh..oh well.  All in all, the atmosphere was lively and had a pleasant dinner. Oh and it's byob with no corkage fee. ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.212445887; Sentiment_Subjectivity (from 0 to 1): 0.699867725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Honestly, from all the rave and hype from others, I expected this place to be much better. We ordered some of their popular dishes - the spicy rice cake, pork buns, fried brussels sprouts, and pork hangar steak. The spicy rice cake is probably the better tasting one out of the four. I think they over fried our sprouts, it just tastes burnt. Overall, it just wasn't worth the price.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.342857143; Sentiment_Subjectivity (from 0 to 1): 0.471428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place. I like how u can get a little of everything. However, 6.95 per lb is a  little on the pricey side. The food wasn't bad, i'd come back again if I'm in the mood for some korean fast food :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.0625; Sentiment_Subjectivity (from 0 to 1): 0.544444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love the falafle and the lamb sandwich here! it's cheap, it's delicious, the hot sauce is hot! It's especially awesome at 2 in the morning when you're a little drunk =P; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.8125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a great cute little place for brunch! I got there at 11am on a Sunday and people were already waiting outside. The host was really nice, he took my name down while I waited for my friend to arrive. While I was waiting outside, he asked me if I wanted anything to drink...and he brought me out a latte =) The latte was okay, could've been a little stronger. I had the meatball sliders - three little meat ball sandwiches. The meatballs were more meaty rather than bread crumby, which I really liked. Reminded me of Chinese lion head meatballs ^.^ It was quite delish. The overall atmosphere was fun. Music going on the in background, everyone in there were just chatting away. Also, it's on the bottom of Friends building ;) haha. Finally when the check came, it was in this self-growth motivation book, which was completely awesome! I'd like to try their sausage fontina w/ poached egg or their burger in the future, yum!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.237384259; Sentiment_Subjectivity (from 0 to 1): 0.526851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sooooo...honestly....the food is really not that great. I was really looking foward to some real vietnamese food. It's not really viet food but really bad asian fusion. Ordered "viet" summer rolls, shanghai wonton soup with noodles, and miso salmon. The food came out luke warm...eeeeeeeeek. The wonton itself is probably the best thing we ordered. I dunno...i'm just spoiled but real authentic vietnamese/asian food from Southern California. :(; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.118181818; Sentiment_Subjectivity (from 0 to 1): 0.41969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crab and pork soup dumplings ever! It's a must if you're ever in chinatown. They also have a very good onion pancake. There's always a line, so be patient, it's really worth it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.761666667; Sentiment_Subjectivity (from 0 to 1): 0.393333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The bbq is decent. There were five of us which came out to be about 97 dollars. The food was more than enough for the five of us. It's a good place to go when you feel the need for a lot of meat, but you might get a little grossed out. Not a bad place. A bit hard to find a table, might have to hover and share tables. Oh they also have beer by the gallon ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1859375; Sentiment_Subjectivity (from 0 to 1): 0.621875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quite dissapointed. I got the panfried bun, sesame pancake, soy milk, and a cabbage and pork thing. The flavor overall is meh. They didn't execute the cooking the right way. I didn't like how they cook it and just let it sit there until somebody orders. The food was kind of cold. The quality of food was also not that great, the flavors weren't there. I'm sad this place was thumbs down because I was really looking for a good dumpling/bun place. But I guess i have to go back to china or california for them.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.133015873; Sentiment_Subjectivity (from 0 to 1): 0.527460317 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little hole in the wall type place. Awesome grilled corn - really love the cheese and lime. The Cuban sandwich is not bad. It could use a little more flavor. I would definitely go back to try the corn and maybe some other meats :D ie grilled steak type of thing. If you ever go to seattle, go to this place called Paseo on Fremont Ave. It tastes sooooooo good!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3725; Sentiment_Subjectivity (from 0 to 1): 0.574166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pizza is not bad, but it could definitely be better. My friends and I shared a 14 inch and it was more than enough for us 3 girls. We got half ricotta cheese with meatballs and the other half with garlic spinach and mushrooms. I like ricotta on my pizza, so I enjoyed that. They need more practice spreading the toppings out more evenly. The service was nice =) Would I go back again? Meh prob not..; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.268589744; Sentiment_Subjectivity (from 0 to 1): 0.505769231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried the lamb gyro today. AMAZING! The gyro bread is so soft and fluffy...i think i might actually prefer it more than the chicken & rice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: overall..it's decent. I wouldn't say the food is for die for. I didn't really like the arepa because its very starchy. The pork tamales wrapped in banana leaf is not bad - the pork was tender and fatty, lol....so if you like fatty meat then you should try it. The guac is okay, the plaintain chips are yummy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.145238095; Sentiment_Subjectivity (from 0 to 1): 0.447619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not bad, not bad. I liked the meat inside, it was very very flavorful. The only thing that would make em even better is if the regular dumplings had thicker skin. All in all, fairly decent. Would come back again to satisfy future dumpling cravings.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.222666667; Sentiment_Subjectivity (from 0 to 1): 0.489192308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for brunch and had the duck burger. The duck wasn't bad, but I think could use a little bit more kick. My friend had the buckwheat blueberry pancake, I thought that was delish! The latte was good and the service was nice. A great place for brunch!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.339583333; Sentiment_Subjectivity (from 0 to 1): 0.669444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a cute clean friendly little joint that fits about 8 people max. My friend and i got a mixed falafel plate $10 (came with the three different sauce), a falafel sandwich $5.50, and fries with saffron aioli $4 (the fries basket was huge!). Out of the three flavors of falafel, i think my favorites are the roasted pepper and the mildly spicy one (i think it had onions in it?). I didn't like the green cilantro as much (you couldn't really taste the flavor). We ended with the baklava finger $2.50 (my friend said it was good, i thought it was a bit too sweet). Everything tasted wonderful and I really enjoyed it. I'd love to go back and try their fried eggplant sandwich. The falafel here definitely tastes better than Mamoun, but Mamoun has the meat stuff :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.306875; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lamb Shank is probably still the best! Grilled squid = EXCELLENT. I'd get it again! Rabbit Pasta = A-okay Dessert (flan with phyllo dough on top) = Yum-O! I love this place!!!!!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.90625; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was very disappointed with their french toast. I was expecting a lot more. I do recommend their currant scone and fresh juices. This place is better for their weekend pre fixe brunch; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.065; Sentiment_Subjectivity (from 0 to 1): 0.495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quite pricey indeed, but I'm a fan :) Yummy yakitoris :) and their homemade mochi ice cream with peanut powder....orgasmic ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been wanting to come here for a long time and today I did! This place is by far my favorite brunch place in nyc. In the beginning, they give you bread and strawberry butter. There's this one bread that tastes soooo yummy and kind of chewy on the inside! So GOOD! For entree, I got their mushroom paella, which was pretty darn yummy! Their all you can drink sangria is definitely the highlight. The place is festive and everyone leaves this place a little happy...or tipsy :) Definitely coming back again! I think i will make this place a monthly ritual =P; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.253409091; Sentiment_Subjectivity (from 0 to 1): 0.672727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 liked the interior of this place, it was hip and nicely decorated. It was quite busy on a saturday night, we had a party of 3 and waited for about an hour. I got the classic ramen which was fairly decent. I liked the rich pork broth rather than the soy based soup. Wish there were more slices of the pork tho. I would go back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.34537037; Sentiment_Subjectivity (from 0 to 1): 0.553703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 "Lamb Sandwich to go please" --- probably about once a week and life is good!! Haven't had much of the other food there. Did try a Greek salad that was a standard Greek salad but with very fresh produce.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.209285714; Sentiment_Subjectivity (from 0 to 1): 0.260714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cool spot but sort of random location.  Doesn't really matter though because once you'e inside you forget about all of that.  Great seafood that never dissapoints but I've also never walked away thinking it was the best meal I had ever had. If you're looking for  cute, BYOB, french seafood spot this as good as I've found in Manhattan.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.38125; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome!  Make sure you try the greek salad and the eggplant spread.... very tasty.  The grape leaves are good, but not to-die-for. For the meal I went with the spinach pie, and washed it down with diet birch soda, which actually tastes good.  Not "good for a diet soda" good, but just "good". And yes, save room for baklava.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.363131313; Sentiment_Subjectivity (from 0 to 1): 0.507070707 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cuisine at Bouley is an interesting cross between old-school french cuisine with rich creamy sauces / purees and modern techniques of making different foams and clouds.  Dinner was wonderful and the wine pairings were very nice: 1.  Starting with a roasted chestnut soup amuse, topped with a ricotta cheese "cloud". 2.  Uni terrine with ossetra caviar 3.  Chattham oyster with a lemon cloud 4.  Porcini flan with dungeness crab and black truffles (wow!) 5.  Chatham Lobster with mushrooms and fresh fruit 6.  Farm egg with artichoke polenta and comte foam 7.  Scallops tandoori 8.  Boneless rack of lamb with zucchini-mint, onion, olive, and potato purees.  Easily one of the best lamb dishes I've ever had in my life, and I'd go so far as to say even better than the French Laundry. 9.  Duck breast with almond foam and truffle honey 10.  Chilled coconut soup with pineapple sorbet 11. Chocolate souffle, chocolate ice cream, white chocolate foam (double wow!) We came late (drinks at Weather up next door first) and service was still very good.  Restaurant wasn't full so there wasn't a lot of waiting in between courses, which personally I find to be nice on a weeknight. Bouley is in that middle ground, a solid 1-Michelin star but still trying to figure out how to get over the hump to 2 stars.  I think if they continue to innovate and refine their style to be more modern and less old-school they can get there in the next few years.  I look forward to seeing what they do next year.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211857143; Sentiment_Subjectivity (from 0 to 1): 0.412761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Casa Mono is a great place for a business lunch.  A little more cramped than I would normally like but it worked out OK.  Down to business... we had: - Mussels with Cava and Chorizo (Excellent... you must try this) - Sweetbreads with Fennel al Mono (Also amazing) - Crispy Pork Belly and Apple Salad - Skirt Steak with Onion Mermelada - Lamb Ribs with Eggplant and Harissa - Calamares Fritos This was enough for two people, we were pretty full at the end.  I do have to say, I got a little tired of the fried food.... I remember having the same problem when eating in Spain.  So just be careful what you order if this is a problem for you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.207962963; Sentiment_Subjectivity (from 0 to 1): 0.630925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes!  This is some bomb greek food right here.  We decided to go crazy with appetizers and then just share one entree.  Here's what we tried, and all of it was awesome: - Halloumi cheese with grapes - Pitakia (Pastries with spiced beef) - Large Shrimp in ouzo and tomato cream sauce - Greek Salad (very fresh veggie ingredients!) - Grilled Baby Lamb Chops (the entree) with a side of sauteed chard and spinach greens They also have a fairly extensive greek wine list which is unique even in NYC.  I know nothing about greek wine but the recommended bottle was merlot-like and opened up quite nicely. Also, we came here very early, and after we left they opened up the front so the tables were kind of jutting outside.  Could be a nice open-air dinner venue at night.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217205882; Sentiment_Subjectivity (from 0 to 1): 0.48162465 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thought this restaurant week dinner was an excellent value.  $35 gets you 4 courses, all of which are bursting with flavor and made from great ingredients.  I love places that allow you to get wine in 2.5oz tasting portions so you can easily create your own pairings for each course.  Make sure you get the cod, the ribs, and the chocolate if those are still on the menu.  All done top-notch.  I would go back if I ever needed a go-to place on the west-side highway.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.604166667; Sentiment_Subjectivity (from 0 to 1): 0.759027778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Serving up huge portions of italian food family-style, Carmine's is a bustling place right in the heart of the Times Square madness.  Don't even bother trying to get in without a reservation.  But if you're entertaining people from out of town (most likely, if you're considering eating here), you're better off taking them down to La Mela on Mulberry Street.  The family style dining platters give you much wider variety of food and they get to see Mulberry Street to boot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.247795414; Sentiment_Subjectivity (from 0 to 1): 0.513844797 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't take my word for it... come here and order a Chocolate-Banana-Peanut Butter milkshake for yourself.  Totally Amazing.  Come here on a weekday and get here around 9-10am so you don't have to wait for 2 hours to get a seat.  Whatever meal you get, be sure to add sugar-cured bacon to the order because it is some of the best bacon I've had in NYC.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.696296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gramercy Tavern, thank you for reminding me how rich, buttery, and delicious pork belly is supposed to be (Yeah, I'm looking at you, Chung Sol!).  Your rack of lamb is perfection on a plate.   This is one of the few places that I think should be elevated from 1 michelin star to 2.  If you're still hungry at dessert time, just get the Peanut Butter Semifreddo.  You'll go home happy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.49375; Sentiment_Subjectivity (from 0 to 1): 0.7125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sit at the sushi bar and have your own private sushi chef!  We sat with Chef Yoshi and just let him decide what we got to eat, which is definitely the way to go. Sushi at Yasuda is very austere and simple.  No fancy rolls, no creative uses of doritos chips... .just excellent fish and rice.  Come here if you like Uni, because theirs is amazing.  The toro will melt in your mouth.  And the mochi ice cream at the end is perfection. I tend to prefer more imaginative sushi places but the quality here can not be denied.  I'm surprised it doesn't have a michelin star, since dollar for dollar the food quality is as good or better than Jewel Bako.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.664010989 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch food at Supper is decent (yeah, it's totally a misnomer)... Especially the Eggs all Parmigiana, which is a pretty unique dish that I'd not seen before.  But the service here was pretty terrible.  Several parties, larger and seated after us, got served before us.  It probably took about 45 minutes (no exaggeration) from the time we ordered to the time we got our food. There are too many brunch places in the East Village... I probably won't come back to this one.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.049242424; Sentiment_Subjectivity (from 0 to 1): 0.674242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here for the Nose to Tail menu (of course!) and absolutely loved it.  The decor of the place, the spacious seating, all the way down to the candle in the bathroom.  The designers of Feast have considered every detail to perfection. I was wondering how exactly they would do a Nose to Tail menu for any size party, which is a unique offering even here in NYC.  The food comes in two rounds of 4 dishes each, generally with individual portions based on the number in your party, and always with 3 courses of meat (lamb in our case) and one course of vegetables. Round 1: - Lamb Carpaccio - Merguez Stew - Shepherd's Pie (this was a very cool sweet potato tart with lamb belly on top) - Salad Round 2: - Lamb Shank Lasagna (again, served in a very cool individual portion like the tart) - Rack of Lamb, perfectly prepared - Potato Gratin - Fricasse of Vegetables Dessert: Pear Galette I look forward to seeing how the menu evolves here and what other animals they hope to serve.  I hope it's not just the typical pig/beef options we see at other nose-to-tail dinners and they branch out perhaps into goat (like Resto).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.186045752; Sentiment_Subjectivity (from 0 to 1): 0.560522876 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch here is great, but get here before 12 or you'll be waiting a long time for a seat.  We tried the smothered eggs and the huevos rancheros, both of which were delish.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow.  This was truly an amazing dinner on the order of Momofuku Ko.  Chef Cesar Ramirez does an amazing job combining fresh ingredients for an amazing bouquet of flavors and textures with every bite.  This is an open kitchen with bar seating where you and your fellow foodies comrades can have a great time chatting, watching the food prep, and enjoying the constant waves of elation as 15+ courses are brought to you with perfect timing.   Kitchen is BYOB with no corkage fee.  There is an ice bath in the front for you to store your wine, and a selection of wine glasses for you to use as you move from one bottle of wine to the next. This is truly a unique experience and very much worth the effort of booking out months in advance.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.398076923; Sentiment_Subjectivity (from 0 to 1): 0.652564103 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: L'Artusi is the West Village counterpart to L'Apicio and boy do these guys know how to get it right.  Trained at Babbo, they take contemporary Italian to a whole new level.  Their cocktail program, their wine list, and their food menus are all top notch.  Here's what we tried: - Scallop Crudo - Asparagus a la Plancha - Rabbit Fettuccine - Peeky Toe Crab Pici Nero - Cheese course - Olive oil cake - Chocolate Budino (WOW) Simply put, this matches the high level of excellence I've received at all the Epicurean restaurants.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.172082732; Sentiment_Subjectivity (from 0 to 1): 0.439341029 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really nice wine bar if you're interested in trekking over to Avenue C.  Definitely come early because this place gets crowded later in the night.  The spatzle is excellent!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>