Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 267

[ "Glendale", ",", "Arizona", "burgers" ]

[ 9, 10, 10, 0 ]

[ "Best", "deals", "on", "beach", "resorts", "in", "Borough", "Park", ",", "NY" ]

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

[ "locations", "of", "Las", "Vegas", "Convention", "Center", "in", "KS" ]

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

[ "seafood", "in", "Albuquerqu" ]

[ 0, 0, 5 ]

[ "does", "Portland", "Trail", "Blazers", "Basketball", "Team", "operate", "in", "Gardena", ",", "California", "?" ]

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

[ "milkshakes", "in", "Larkridge" ]

[ 0, 0, 0 ]

[ "brunch", "West", "Bloomfield", "Township", ",", "Michigan" ]

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

[ "Is", "Justin", "Carter", "available", "for", "an", "appointment", "in", "Austin", "?" ]

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

[ "hours", "of", "ExxonMobil", "in", "Columbu" ]

[ 0, 0, 3, 0, 5 ]

[ "best", "restaurants", "Lynwood" ]

[ 0, 0, 5 ]

[ "burgers", "Clearbrook" ]

[ 0, 0 ]

[ "Rancho", "Cordova", "CA", "pizza" ]

[ 9, 10, 10, 0 ]

[ "Bakersfield", "Condors", "Hockey", "Team", "in", "Chino", "CA" ]

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

[ "Is", "Mark", "Miller", "traveling", "to", "IL", "next", "week", "?" ]

[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]

[ "lectur", "in", "ny" ]

[ 0, 0, 5 ]

[ "Alexandria", ",", "VA", "burgers" ]

[ 9, 10, 10, 0 ]

[ "Popular", "paella", "places", "in", "Washington", ",", "DC" ]

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

[ "Where", "to", "eat", "ratatouille", "in", "Milwaukee", "WI", "?" ]

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

[ "best", "temple", "in", "Great", "Falls" ]

[ 0, 0, 0, 5, 6 ]

[ "best", "observato", "in", "lehigh", "acres" ]

[ 0, 0, 0, 5, 6 ]

[ "gnocchi", "Sioux", "Falls" ]

[ 0, 5, 6 ]

[ "tacos", "in", "Crystal", "Vale" ]

[ 0, 0, 0, 0 ]

[ "Highland", "CA", "breakfast", "food" ]

[ 9, 10, 0, 0 ]

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

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

[ "weather", "Bristol", ",", "Connecticut" ]

[ 0, 9, 10, 10 ]

[ "Does", "Martin", "Luther", "King", "Jr", ".", "have", "a", "speech", "in", "New", "York", "City", ",", "NY", "?" ]

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

[ "physio", "therapy", "Syracuse", ",", "New", "York" ]

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

[ "donuts", "near", "me", "lex" ]

[ 0, 0, 0, 5 ]

[ "nearest", "branch", "of", "Mobile", "Business", "Solutions", "in", "San", "Pedro" ]

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

[ "What", "are", "the", "most", "famous", "sushi", "bars", "in", "New", "South", "Memphis", ",", "TN", "?" ]

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

[ "locations", "of", "Citibank", "in", "Rhode", "Island" ]

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

[ "vegan", "food", "Olympia", "WA" ]

[ 0, 0, 9, 10 ]

[ "Top", "-", "rated", "Japanese", "restaurants", "in", "Lynchburg", ",", "VA" ]

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

[ "roof", "repair", "West", "Gulfpor" ]

[ 0, 0, 5, 6 ]

[ "movie", "theaters", "San", "Angelo", "TX" ]

[ 0, 0, 9, 10, 10 ]

[ "weather", "forecast", "fordham" ]

[ 0, 0, 5 ]

[ "best", "restaurants", "in", "Lexington", "KY" ]

[ 0, 0, 0, 9, 10 ]

[ "Nashua", ",", "New", "Hampshire", "pharmacies" ]

[ 9, 10, 10, 10, 0 ]

[ "dim", "sum", "in", "QQ" ]

[ 0, 0, 0, 0 ]

[ "upcoming", "events", "in", "Castro", "Valley", "this", "weekend" ]

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

[ "locations", "of", "Henderson", "Engineering", "Consultants", "in", "OR" ]

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

[ "shawarma", "Yellowfield" ]

[ 0, 0 ]

[ "Top", "destinations", "for", "flights", "in", "Waukesha", ",", "WI" ]

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

[ "pharmacies", "Riverside", ",", "California" ]

[ 0, 9, 10, 10 ]

[ "breakfast", "near", "me", "dtt" ]

[ 0, 0, 0, 5 ]

[ "Delray", "Beach", ",", "Florida", "tacos" ]

[ 9, 10, 10, 10, 0 ]

[ "Where", "to", "find", "the", "best", "pork", "ribs", "in", "Taylor", ",", "Michigan", "?" ]

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

[ "Plano", "Technology", "Solutions", "reviews", "in", "Arizona" ]

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

[ "top", "-", "rated", "roof", "repair", "Carmel", ",", "IN" ]

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

[ "electrician", "Chino", "Hills" ]

[ 0, 5, 6 ]

[ "parks", "in", "Astoria", ",", "New", "York" ]

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

[ "Is", "Nelson", "Mandela", "available", "for", "an", "appointment", "in", "Buffalo", "?" ]

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

[ "events", "in", "midwest", "city", "this", "weekend" ]

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

[ "Is", "Thomas", "Reed", "available", "for", "an", "appointment", "in", "Atascocita", "?" ]

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

[ "crosswal" ]

[ 0 ]

[ "arepas", "in", "Ohio" ]

[ 0, 0, 7 ]

[ "Is", "Joe", "Biden", "available", "for", "an", "appointment", "in", "bristol", "?" ]

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

[ "Top", "destinations", "for", "budget", "travel", "in", "Mount", "Pleasant", ",", "SC" ]

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

[ "Darkfall", "biryani" ]

[ 0, 0 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "San", "Diego", "Software", "Innovations", "in", "NY", "?" ]

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

[ "does", "Shreveport", "Regional", "Airport", "provide", "home", "repair", "services", "in", "Phoenix", "?" ]

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

[ "events", "in", "Flagami", ",", "Florida", "this", "weekend" ]

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

[ "fried", "chicken", "Ellicott", "City", ",", "MD" ]

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

[ "What", "are", "the", "most", "famous", "Mexican", "restaurants", "in", "San", "Jose", ",", "CA", "?" ]

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

[ "Edison", "NJ", "pizza" ]

[ 9, 10, 0 ]

[ "ramen", "places", "in", "Piscataway" ]

[ 0, 0, 0, 5 ]

[ "Can", "I", "meet", "Joe", "Biden", "in", "Minneapolis", ",", "MN", "?" ]

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

[ "gyms", "in", "Chinatown" ]

[ 0, 0, 5 ]

[ "croissants", "in", "YS" ]

[ 0, 0, 0 ]

[ "Oklahoma", "City", ",", "OK", "vegan", "food" ]

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

[ "Madison", ",", "WI", "soups" ]

[ 9, 10, 10, 0 ]

[ "does", "Syracuse", "University", "offer", "roof", "repair", "in", "Cedar", "Rapids", "IA", "?" ]

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

[ "contact", "Las", "Vegas", "Convention", "and", "Visitors", "Authority", "in", "portland" ]

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

[ "nearest", "branch", "of", "Houston", "Community", "College", "in", "San", "Jose" ]

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

[ "fondue", "in", "ME" ]

[ 0, 0, 7 ]

[ "does", "Augusta", "National", "Golf", "Club", "operate", "in", "Ahwatukee", "Foothills", ",", "AZ", "?" ]

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

[ "showcas", "in", "hayward" ]

[ 0, 0, 5 ]

[ "hamburgers", "Hialeah", ",", "Florida" ]

[ 0, 9, 10, 10 ]

[ "apple", "pie", "in", "IL" ]

[ 0, 0, 0, 7 ]

[ "How", "to", "apply", "for", "a", "student", "loan", "?" ]

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

[ "roof", "repair", "near", "Cicero" ]

[ 0, 0, 0, 5 ]

[ "seafood", "Rio", "Rancho", "NM" ]

[ 0, 9, 10, 10 ]

[ "Lunashire", "brownies" ]

[ 0, 0 ]

[ "Best", "Chinese", "restaurants", "in", "Fort", "Collins", ",", "CO" ]

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

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

[ 0, 0, 5, 0, 0 ]

[ "zappomatic" ]

[ 0 ]

[ "seafood", "Tyler", "TX" ]

[ 0, 9, 10 ]

[ "Lincoln", "Manufacturing", "Inc", ".", "reviews", "in", "UT" ]

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

[ "falafel", "in", "Velvet", "City" ]

[ 0, 0, 0, 0 ]

[ "Johns", "Creek", ",", "GA", "best", "cafes" ]

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

[ "teriyaki", "in", "Denton" ]

[ 0, 0, 5 ]

[ "Crescent", "Vale", "souvlaki" ]

[ 0, 0, 0 ]

[ "chimichurri", "steak", "near", "me", "St", ".", "Louis" ]

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

[ "roof", "repair", "specialists", "in", "day" ]

[ 0, 0, 0, 0, 5 ]

[ "Top", "miso", "soup", "restaurants", "in", "San", "Antonio", ",", "TX", "this", "weekend" ]

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

[ "Kenner", ",", "LA", "sushi" ]

[ 9, 10, 10, 0 ]

[ "real", "estate", "agents", "fairfield" ]

[ 0, 0, 0, 5 ]

[ "best", "rated", "Boeing", "Company", "in", "Brentwood", "CA" ]

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

[ "gnocchi", "Redhawk" ]

[ 0, 0 ]

[ "croquettes", "Tamarac" ]

[ 0, 5 ]