Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 266

[ "Eden", "Prairie", ",", "MN", "ramen" ]

[ 9, 10, 10, 10, 0 ]

[ "Pueblo", "bao", "buns" ]

[ 5, 0, 0 ]

[ "baklava", "in", "HD" ]

[ 0, 0, 0 ]

[ "bao", "buns", "in", "Iron", "City" ]

[ 0, 0, 0, 0, 0 ]

[ "contact", "Baton", "Rouge", "Community", "College", "in", "cmh" ]

[ 0, 3, 4, 4, 4, 0, 5 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Lansing", "Community", "College", "in", "Minnesota", "?" ]

[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 7, 0 ]

[ "Popular", "sichuan", "chicken", "places", "in", "Silver", "Spring", ",", "MD" ]

[ 0, 0, 0, 0, 0, 9, 10, 10, 10 ]

[ "sichuan", "chicken", "Noblehaven" ]

[ 0, 0, 0 ]

[ "sushi", "Sugar", "Land" ]

[ 0, 5, 6 ]

[ "nurse", "Chicopee" ]

[ 0, 5 ]

[ "Affordable", "pizzerias", "in", "San", "Leandro", ",", "CA" ]

[ 0, 0, 0, 9, 10, 10, 10 ]

[ "Popular", "kimchi", "places", "in", "Waltham", ",", "Massachusetts" ]

[ 0, 0, 0, 0, 9, 10, 10 ]

[ "cakes", "near", "me", "Renton" ]

[ 0, 0, 0, 5 ]

[ "doctor", "Canton", ",", "MI" ]

[ 0, 9, 10, 10 ]

[ "best", "restaurants", "Montgomery" ]

[ 0, 0, 5 ]

[ "Renton", ",", "WA", "noodles" ]

[ 9, 10, 10, 0 ]

[ "bos", "temperature" ]

[ 5, 0 ]

[ "sandwiches", "Tranquil", "City" ]

[ 0, 0, 0 ]

[ "Toledo", ",", "OH", "vegan", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "does", "Austin", "Engineering", "Solutions", "operate", "in", "North", "Las", "Vegas", ",", "NV", "?" ]

[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 10, 10, 0 ]

[ "weather", "Weston", "FL" ]

[ 0, 9, 10 ]

[ "best", "rated", "Atlanta", "City", "Bank", "in", "Laguna", "Niguel", ",", "CA" ]

[ 0, 0, 3, 4, 4, 0, 9, 10, 10, 10 ]

[ "Is", "Elon", "Musk", "available", "for", "an", "appointment", "in", "Astoria", "?" ]

[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]

[ "locations", "of", "Fayetteville", "Technical", "Community", "College", "in", "MI" ]

[ 0, 0, 3, 4, 4, 4, 0, 7 ]

[ "sushi", "ccr" ]

[ 0, 5 ]

[ "Where", "to", "eat", "soups", "in", "Kansas", "City", ",", "Missouri", "?" ]

[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]

[ "home", "improvement", "Milwaukee" ]

[ 0, 0, 5 ]

[ "Alhambra", ",", "California", "tacos" ]

[ 9, 10, 10, 0 ]

[ "sushi", "Ironville" ]

[ 0, 5 ]

[ "hours", "of", "Fayetteville", "Technical", "Community", "College", "in", "Wellington" ]

[ 0, 0, 3, 4, 4, 4, 0, 5 ]

[ "Popular", "poke", "bowl", "places", "in", "Fresno", ",", "CA" ]

[ 0, 0, 0, 0, 0, 9, 10, 10 ]

[ "East", "Norwalk", "CT", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "soups", "Bowie", "MD" ]

[ 0, 9, 10 ]

[ "Top", "curry", "restaurants", "in", "Elmhurst", ",", "NY", "this", "weekend" ]

[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]

[ "LV", "buffalo", "wings" ]

[ 0, 0, 0 ]

[ "coffee", "near", "me", "staten", "island" ]

[ 0, 0, 0, 5, 6 ]

[ "Dearborn", ",", "MI", "pizza" ]

[ 9, 10, 10, 0 ]

[ "Flagami", ",", "FL", "tacos" ]

[ 9, 10, 10, 0 ]

[ "cakes", "Waco", ",", "Texas" ]

[ 0, 9, 10, 10 ]

[ "Fountain", "Valley", "CA", "cakes" ]

[ 9, 10, 10, 0 ]

[ "doctor", "Citrus", "Heights", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "Where", "to", "eat", "naan", "in", "Longview", ",", "Texas", "?" ]

[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]

[ "Irving", "TX", "pharmacies" ]

[ 9, 10, 0 ]

[ "steak", "Gilded", "City" ]

[ 0, 0, 0 ]

[ "tacos", "LV" ]

[ 0, 0 ]

[ "Affordable", "vegan", "restaurants", "in", "Dubuque", ",", "IA" ]

[ 0, 0, 0, 0, 9, 10, 10 ]

[ "Where", "to", "find", "the", "best", "goulash", "in", "Nashville", ",", "TN", "?" ]

[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]

[ "contact", "Huntsville", "Rocket", "Technologies", "in", "garland" ]

[ 0, 3, 4, 4, 0, 5 ]

[ "Harvard", "University", "reviews", "in", "New", "Mexico" ]

[ 3, 4, 0, 0, 7, 8 ]

[ "breakfast", "near", "me", "Melbourne" ]

[ 0, 0, 0, 5 ]

[ "ramen", "chula", "vista" ]

[ 0, 5, 6 ]

[ "Does", "Hannah", "Lewis", "have", "a", "speech", "in", "Mobile", ",", "Alabama", "?" ]

[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]

[ "Grand", "Prairie", ",", "Texas", "pharmacies" ]

[ 9, 10, 10, 10, 0 ]

[ "Best", "deals", "on", "family", "vacations", "in", "Arlington", "Heights", ",", "IL" ]

[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]

[ "parks", "in", "Aliso", "Viejo", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "seafood", "Gulfport", ",", "Mississippi" ]

[ 0, 9, 10, 10 ]

[ "frozen", "yogurt", "SD" ]

[ 0, 0, 7 ]

[ "Can", "I", "meet", "Paul", "Moore", "in", "Arlington", ",", "Virginia", "?" ]

[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]

[ "nearest", "branch", "of", "Wichita", "Steel", "Corporation", "in", "Deer", "Valle" ]

[ 0, 0, 0, 3, 4, 4, 0, 5, 6 ]

[ "Noblehaven", "baklava" ]

[ 0, 0 ]

[ "florist", "Detroit" ]

[ 0, 5 ]

[ "nearest", "plaza" ]

[ 0, 0 ]

[ "apple", "pie", "in", "Boston" ]

[ 0, 0, 0, 5 ]

[ "Kenosha", ",", "WI", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

[ "gyms", "in", "st", ".", "charles" ]

[ 0, 0, 5, 6, 6 ]

[ "Where", "to", "find", "the", "best", "vegan", "food", "in", "San", "Rafael", ",", "CA", "?" ]

[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]

[ "What", "are", "the", "most", "famous", "brunch", "spots", "in", "Portland", "OR", "?" ]

[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]

[ "Elder", "City", "empanadas" ]

[ 0, 0, 0 ]

[ "pizza", "Plantation", ",", "FL" ]

[ 0, 9, 10, 10 ]

[ "vegan", "food", "Corvallis", ",", "Oregon" ]

[ 0, 0, 9, 10, 10 ]

[ "Ecliptica", "brunch" ]

[ 0, 0 ]

[ "Best", "Italian", "restaurants", "in", "Miami", "FL" ]

[ 0, 0, 0, 0, 9, 10 ]

[ "plumber", "kent" ]

[ 0, 5 ]

[ "cupcakes", "in", "West", "Raleigh" ]

[ 0, 0, 5, 6 ]

[ "Top", "-", "rated", "fine", "dining", "in", "Lakewood", ",", "California" ]

[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]

[ "movie", "theaters", "Victorville" ]

[ 0, 0, 5 ]

[ "Top", "brunch", "restaurants", "in", "Chicago", ",", "Illinois", "this", "weekend" ]

[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]

[ "Dominic", "Monaghan", "age" ]

[ 1, 2, 0 ]

[ "does", "Baltimore", "Technology", "Inc", ".", "provide", "home", "repair", "services", "in", "San", "Antonio", "?" ]

[ 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]

[ "top", "-", "rated", "roof", "repair", "Mesquite", "TX" ]

[ 0, 0, 0, 0, 0, 9, 10 ]

[ "find", "top", "-", "rated", "hospitals", "in", "Pittsburgh", ",", "Pennsylvania" ]

[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]

[ "Does", "Katy", "Perry", "have", "a", "speech", "in", "Port", "Saint", "Lucie", ",", "FL", "?" ]

[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 10, 10, 0 ]

[ "churros", "LM" ]

[ 0, 0 ]

[ "top", "hotels", "in", "West", "Valley", "Cit" ]

[ 0, 0, 0, 5, 6, 6 ]

[ "top", "hotels", "in", "tus" ]

[ 0, 0, 0, 5 ]

[ "restaurants", "near", "me", "Huntersville" ]

[ 0, 0, 0, 5 ]

[ "cheesecake", "Shadow", "City" ]

[ 0, 0, 0 ]

[ "Whittier", "temperature" ]

[ 5, 0 ]

[ "Riverview", ",", "Florida", "soups" ]

[ 9, 10, 10, 0 ]

[ "NX", "tikka", "masala" ]

[ 0, 0, 0 ]

[ "salads", "in", "New", "York", "Cit" ]

[ 0, 0, 5, 6, 6 ]

[ "bake", "open", "near", "me" ]

[ 0, 0, 0, 0 ]

[ "Scranton", "PA", "desserts" ]

[ 9, 10, 0 ]

[ "sushi", "davie" ]

[ 0, 5 ]

[ "pmd", "soups" ]

[ 5, 0 ]

[ "does", "PricewaterhouseCoopers", "offer", "roof", "repair", "in", "Chino", ",", "CA", "?" ]

[ 0, 3, 0, 0, 0, 0, 9, 10, 10, 0 ]

[ "Indianapolis", "Colts", "Football", "Team", "reviews", "in", "North", "Carolina" ]

[ 3, 4, 4, 4, 0, 0, 7, 8 ]

[ "breakfast", "food", "Portland", ",", "Maine" ]

[ 0, 0, 9, 10, 10 ]

[ "Top", "pho", "restaurants", "in", "Bellflower", ",", "CA", "this", "weekend" ]

[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]

[ "brunch", "in", "MT" ]

[ 0, 0, 7 ]