Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 254

[ "Bryan", "TX", "desserts" ]

[ 9, 10, 0 ]

[ "strudel", "near", "me", "Miami" ]

[ 0, 0, 0, 5 ]

[ "what", "'", "s", "the", "weather", "forecast", "for", "Peabody", "?" ]

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

[ "confere", "in", "Columbus" ]

[ 0, 0, 5 ]

[ "best", "rated", "Pensacola", "Naval", "Air", "Station", "in", "Camarillo", ",", "CA" ]

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

[ "does", "Mesa", "Public", "Schools", "operate", "in", "The", "Bronx", "NY", "?" ]

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

[ "YW", "pho" ]

[ 0, 0 ]

[ "HT", "naan" ]

[ 0, 0 ]

[ "hours", "of", "Warner", "Music", "Group", "in", "New", "York", "City" ]

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

[ "guacamole", "in", "Wisconsin" ]

[ 0, 0, 7 ]

[ "Can", "I", "meet", "Henry", "Martinez", "in", "Brooklyn", ",", "NY", "?" ]

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

[ "Duluth", ",", "MN", "pharmacies" ]

[ 9, 10, 10, 0 ]

[ "pizza", "Carlsbad" ]

[ 0, 5 ]

[ "seafood", "Deltona", ",", "FL" ]

[ 0, 9, 10, 10 ]

[ "home", "improvement", "contractors", "near", "Irving", ",", "TX" ]

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

[ "weather", "ocn" ]

[ 0, 5 ]

[ "kebabs", "in", "Illinois" ]

[ 0, 0, 7 ]

[ "Does", "Roger", "Federer", "have", "a", "speech", "in", "Miami", "FL", "?" ]

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

[ "Savannah", ",", "Georgia", "seafood" ]

[ 9, 10, 10, 0 ]

[ "home", "improvement", "services", "Concord", ",", "California" ]

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

[ "Corpus", "Christi", ",", "Texas", "cakes" ]

[ 9, 10, 10, 10, 0 ]

[ "Top", "galbi", "restaurants", "in", "Wilmington", ",", "DE", "this", "weekend" ]

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

[ "contact", "Syracuse", "University", "in", "The", "Bronx" ]

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

[ "does", "Elon", "Musk", "live", "in", "New", "York", "City" ]

[ 0, 1, 2, 0, 0, 5, 6, 6 ]

[ "events", "in", "largo", "this", "weekend" ]

[ 0, 0, 5, 0, 0 ]

[ "What", "are", "the", "most", "famous", "steakhouses", "in", "Orlando", ",", "FL", "?" ]

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

[ "locations", "of", "Novartis", "in", "Connecticut" ]

[ 0, 0, 3, 0, 7 ]

[ "plumber", "West", "Albany" ]

[ 0, 5, 6 ]

[ "Does", "Bryan", "Taylor", "have", "a", "speech", "in", "Chicago", "IL", "?" ]

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

[ "Ankeny", ",", "IA", "brunch" ]

[ 9, 10, 10, 0 ]

[ "does", "Dominic", "Monaghan", "live", "in", "South", "Shore" ]

[ 0, 1, 2, 0, 0, 5, 6 ]

[ "desserts", "Seattle", "WA" ]

[ 0, 9, 10 ]

[ "find", "top", "-", "rated", "hospitals", "in", "Spokane", "WA" ]

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

[ "Best", "deals", "on", "camping", "gear", "in", "Des", "Moines", ",", "IA" ]

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

[ "steak", "Apple", "Valley", ",", "MN" ]

[ 0, 9, 10, 10, 10 ]

[ "current", "weather", "Concor" ]

[ 0, 0, 5 ]

[ "hours", "of", "Akron", "Public", "Schools", "in", "buffalo" ]

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

[ "hiking", "trails", "costa", "mesa", "(", "orange", "county", ")" ]

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

[ "nachos", "SW" ]

[ 0, 0 ]

[ "smoothies", "in", "the", "big", "apple" ]

[ 0, 0, 5, 6, 6 ]

[ "car", "repair", "Longmont", "CO" ]

[ 0, 0, 9, 10 ]

[ "Top", "destinations", "for", "ski", "trips", "in", "Las", "Vegas", ",", "Nevada" ]

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

[ "weather", "East", "Harlem", ",", "NY" ]

[ 0, 9, 10, 10, 10 ]

[ "conc", "in", "phoenix" ]

[ 0, 0, 5 ]

[ "locations", "of", "Fresno", "Water", "Authority", "in", "MT" ]

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

[ "nurse", "garland" ]

[ 0, 5 ]

[ "teriyaki", "in", "ZZ" ]

[ 0, 0, 0 ]

[ "does", "San", "Francisco", "Community", "College", "offer", "roof", "repair", "in", "Tempe", ",", "AZ", "?" ]

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

[ "weather", "Pittsburgh", ",", "PA" ]

[ 0, 9, 10, 10 ]

[ "steak", "Kirkland", ",", "Washington" ]

[ 0, 9, 10, 10 ]

[ "hospital", "Jackson", "Heights", ",", "NY" ]

[ 0, 9, 10, 10, 10 ]

[ "Can", "I", "meet", "Theresa", "May", "in", "Grand", "Rapids", ",", "Michigan", "?" ]

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

[ "Popular", "french", "fries", "places", "in", "Middletown", ",", "NJ" ]

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

[ "Yuba", "City", ",", "CA", "breakfast", "food" ]

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

[ "Popular", "meatballs", "places", "in", "Chesapeake", ",", "VA" ]

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

[ "Boise", ",", "Idaho", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

[ "parks", "in", "Sunset", "Park", ",", "NY" ]

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

[ "AR", "strudel" ]

[ 7, 0 ]

[ "plantains", "near", "me", "Orem" ]

[ 0, 0, 0, 5 ]

[ "doctor", "Hayward", "CA" ]

[ 0, 9, 10 ]

[ "smoothies", "in", "Crimson", "Bay" ]

[ 0, 0, 0, 0 ]

[ "florist", "Koreatow" ]

[ 0, 5 ]

[ "noodles", "Sarasota", ",", "FL" ]

[ 0, 9, 10, 10 ]

[ "Google", "Inc", ".", "in", "Fort", "Worth", ",", "TX" ]

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

[ "Union", "City", ",", "California", "movie", "theaters" ]

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

[ "nearest", "branch", "of", "Sony", "Music", "Entertainment", "in", "tempe" ]

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

[ "does", "Santa", "Ana", "College", "offer", "roof", "repair", "in", "Oxnard", ",", "CA", "?" ]

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

[ "nachos", "in", "Toledo" ]

[ 0, 0, 5 ]

[ "Popular", "schnitzel", "places", "in", "Brooklyn", ",", "NY" ]

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

[ "best", "boardwal", "in", "wbu" ]

[ 0, 0, 0, 5 ]

[ "cakes", "Bensonhurst", ",", "NY" ]

[ 0, 9, 10, 10 ]

[ "CZ", "pasta" ]

[ 0, 0 ]

[ "salads", "Bethesda", ",", "MD" ]

[ 0, 9, 10, 10 ]

[ "home", "improvement", "Bellflowe" ]

[ 0, 0, 5 ]

[ "Top", "-", "rated", "family", "-", "friendly", "restaurants", "in", "Denver", ",", "CO" ]

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

[ "burgers", "Largo", ",", "FL" ]

[ 0, 9, 10, 10 ]

[ "best", "church", "in", "Canton" ]

[ 0, 0, 0, 5 ]

[ "contact", "Washington", "DC", "Development", "in", "Sacramento" ]

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

[ "home", "maintenance", "services", "in", "Little", "Rock", "AR" ]

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

[ "top", "-", "rated", "movie", "theaters", "in", "Clifton", ",", "NJ" ]

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

[ "best", "rated", "Plano", "Technology", "Solutions", "in", "Fort", "Collins", "CO" ]

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

[ "Missouri", "City", "TX", "vegan", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "sushi", "Sioux", "Falls", ",", "SD" ]

[ 0, 9, 10, 10, 10 ]

[ "New", "York", "souvlaki" ]

[ 7, 8, 0 ]

[ "home", "services", "Daytona", "Beac" ]

[ 0, 0, 5, 6 ]

[ "burgers", "Warren", "MI" ]

[ 0, 9, 10 ]

[ "fettuccine", "alfredo", "in", "mke" ]

[ 0, 0, 0, 5 ]

[ "does", "Las", "Vegas", "Convention", "Center", "operate", "in", "Birmingham", ",", "Alabama", "?" ]

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

[ "Apple", "Inc", ".", "in", "Austin", ",", "TX" ]

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

[ "car", "repair", "Kirkland", ",", "Washington" ]

[ 0, 0, 9, 10, 10 ]

[ "brunch", "Santa", "Clara", "CA" ]

[ 0, 9, 10, 10 ]

[ "Is", "Eli", "Simmons", "available", "for", "an", "appointment", "in", "sfo", "?" ]

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

[ "Poway", "CA", "parks" ]

[ 9, 10, 0 ]

[ "Can", "I", "meet", "LeBron", "James", "in", "Long", "Beach", ",", "CA", "?" ]

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

[ "local", "electricians", "in", "Baytown", ",", "Texas" ]

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

[ "Sylvester", "Stallone", "movies" ]

[ 1, 2, 0 ]

[ "doctor", "Burien", ",", "WA" ]

[ 0, 9, 10, 10 ]

[ "Can", "I", "meet", "Samuel", "Rivera", "in", "Atlanta", "GA", "?" ]

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

[ "pizza", "Rosemead" ]

[ 0, 5 ]

[ "Dovewood", "Point", "crepes" ]

[ 0, 0, 0 ]