Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 260

[ "contact", "Albuquerque", "International", "Balloon", "Fiesta", "in", "Brooklyn" ]

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

[ "Victorville", "CA", "pharmacies" ]

[ 9, 10, 0 ]

[ "ramen", "Gardena" ]

[ 0, 5 ]

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

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

[ "Does", "Evan", "Phillips", "have", "a", "speech", "in", "Berwyn", ",", "IL", "?" ]

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

[ "Pinecairn", "waffles" ]

[ 0, 0 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Santa", "Ana", "Healthcare", "Services", "in", "MN", "?" ]

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

[ "emergency", "services", "Jacksonville", "FL" ]

[ 0, 0, 9, 10 ]

[ "lawyers", "in", "Chapel", "Hill", ",", "NC" ]

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

[ "burgers", "Cypress", "Hills", ",", "NY" ]

[ 0, 9, 10, 10, 10 ]

[ "Yonkers", ",", "New", "York", "parks" ]

[ 9, 10, 10, 10, 0 ]

[ "paella", "in", "New", "Hampshire" ]

[ 0, 0, 7, 8 ]

[ "movie", "theaters", "Temple", "TX" ]

[ 0, 0, 9, 10 ]

[ "real", "estate", "agents", "Coconut", "Creek" ]

[ 0, 0, 0, 5, 6 ]

[ "sushi", "LV" ]

[ 0, 0 ]

[ "best", "restaurants", "Sunrise", "Mano" ]

[ 0, 0, 5, 6 ]

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

[ 0, 0, 5, 0, 0 ]

[ "sushi", "in", "Tranquil", "City" ]

[ 0, 0, 0, 0 ]

[ "breakfast", "food", "in", "Ironvale" ]

[ 0, 0, 0, 0 ]

[ "Wichita", "Steel", "Corporation", "in", "Tamiami", "FL" ]

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

[ "West", "Albany", ",", "NY", "vegan", "food" ]

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

[ "florist", "Richland", ",", "WA" ]

[ 0, 9, 10, 10 ]

[ "Willowhaven", "coffee" ]

[ 0, 0 ]

[ "locations", "of", "Toyota", "Motor", "Corporation", "in", "Delaware" ]

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

[ "Orem", ",", "UT", "cakes" ]

[ 9, 10, 10, 0 ]

[ "parks", "in", "Boulder" ]

[ 0, 0, 5 ]

[ "does", "Clark", "Gable", "live", "in", "borough", "of", "queens" ]

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[ "noodles", "Cambridge", ",", "MA" ]

[ 0, 9, 10, 10 ]

[ "Does", "Mark", "Zuckerberg", "have", "a", "speech", "in", "Dallas", ",", "TX", "?" ]

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

[ "West", "Valley", "City", ",", "UT", "hamburgers" ]

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

[ "hamburgers", "Rock", "Hill", ",", "South", "Carolina" ]

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

[ "hospital", "Palm", "Bay", "FL" ]

[ 0, 9, 10, 10 ]

[ "contact", "Salt", "Lake", "City", "Ballet", "in", "Boston" ]

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

[ "upcoming", "events", "in", "tuscaloosa", "this", "weekend" ]

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

[ "sandwiches", "in", "Silverveil" ]

[ 0, 0, 0 ]

[ "hiking", "trails", "Carlsbad", "CA" ]

[ 0, 0, 9, 10 ]

[ "contact", "Pfizer", "Inc", ".", "in", "Hamden" ]

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

[ "Does", "Johnny", "Cash", "have", "a", "speech", "in", "Chandler", ",", "AZ", "?" ]

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

[ "Spring", "Hill", ",", "Florida", "sandwiches" ]

[ 9, 10, 10, 10, 0 ]

[ "contact", "PricewaterhouseCoopers", "in", "Sacramento" ]

[ 0, 3, 0, 5 ]

[ "buffalo", "wings", "in", "Zionshade" ]

[ 0, 0, 0, 0 ]

[ "Popular", "onigiri", "places", "in", "San", "Francisco", ",", "CA" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Tesla", "Motors", "in", "District", "of", "Columbia", "?" ]

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

[ "best", "sushi", "in", "Porterville", ",", "California" ]

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

[ "emergency", "services", "South", "Bend", ",", "IN" ]

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

[ "physio", "therapy", "Saint", "Clair", "Shores", "MI" ]

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

[ "weather", "Miami", "Garden" ]

[ 0, 5, 6 ]

[ "ramen", "encinitas" ]

[ 0, 5 ]

[ "onigiri", "new", "york", "city" ]

[ 0, 5, 6, 6 ]

[ "Winston", "-", "Salem", "Marketing", "Firm", "reviews", "in", "IN" ]

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

[ "Top", "galbi", "restaurants", "in", "Shreveport", ",", "LA", "this", "weekend" ]

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

[ "fried", "chicken", "in", "MX" ]

[ 0, 0, 0, 0 ]

[ "nampa", "ramen" ]

[ 5, 0 ]

[ "Savannah", "sichuan", "chicken" ]

[ 5, 0, 0 ]

[ "home", "improvement", "Santa", "Barbara" ]

[ 0, 0, 5, 6 ]

[ "does", "Emmanuelle", "Charpentier", "live", "in", "elyria" ]

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

[ "breakfast", "near", "me", "int" ]

[ 0, 0, 0, 5 ]

[ "parad", "in", "wichita" ]

[ 0, 0, 5 ]

[ "breakfast", "food", "Clearwater", "FL" ]

[ 0, 0, 9, 10 ]

[ "home", "services", "Corpus", "Christi" ]

[ 0, 0, 5, 6 ]

[ "best", "theater", "in", "Vallejo" ]

[ 0, 0, 0, 5 ]

[ "Norwalk", ",", "CT", "brunch" ]

[ 9, 10, 10, 0 ]

[ "Lynn", ",", "MA", "vegan", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "roof", "repair", "Goodyear" ]

[ 0, 0, 5 ]

[ "nearest", "branch", "of", "Greenville", "Technical", "College", "in", "Fort", "Worth" ]

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

[ "Murrieta", "CA", "sushi" ]

[ 9, 10, 0 ]

[ "Affordable", "fine", "dining", "in", "Hollywood", ",", "Florida" ]

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

[ "Where", "to", "find", "the", "best", "pho", "in", "Chinatown", ",", "CA", "?" ]

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

[ "home", "services", "Huntersville" ]

[ 0, 0, 5 ]

[ "brownies", "in", "Colorado" ]

[ 0, 0, 7 ]

[ "Popular", "teriyaki", "places", "in", "Manhattan", ",", "NY" ]

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

[ "Top", "destinations", "for", "backpacking", "trips", "in", "Austin", ",", "TX" ]

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

[ "does", "Dayton", "International", "Airport", "operate", "in", "Richardson", ",", "TX", "?" ]

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

[ "best", "rated", "Princeton", "University", "in", "Louisville", ",", "Kentucky" ]

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

[ "splodgify" ]

[ 0 ]

[ "gyms", "in", "Carmel" ]

[ 0, 0, 5 ]

[ "showcas", "in", "mfe" ]

[ 0, 0, 5 ]

[ "Antonio", "Banderas" ]

[ 1, 2 ]

[ "roof", "repair", "near", "Hendersonville" ]

[ 0, 0, 0, 5 ]

[ "Tampa", ",", "FL", "vegan", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "tacos", "Hillsboro", ",", "Oregon" ]

[ 0, 9, 10, 10 ]

[ "Where", "to", "eat", "breakfast", "food", "in", "Portland", ",", "OR", "?" ]

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

[ "florist", "Longmont", "CO" ]

[ 0, 9, 10 ]

[ "cheesecake", "in", "Manhattan" ]

[ 0, 0, 5 ]

[ "pizza", "Marysville", ",", "WA" ]

[ 0, 9, 10, 10 ]

[ "Pawtucket", ",", "RI", "burgers" ]

[ 9, 10, 10, 0 ]

[ "Scranton", "PA", "movie", "theaters" ]

[ 9, 10, 0, 0 ]

[ "Best", "deals", "on", "flights", "in", "Alameda", ",", "California" ]

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

[ "Where", "to", "find", "the", "best", "sandwiches", "in", "Concord", ",", "CA", "?" ]

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

[ "weather", "forecast", "delano" ]

[ 0, 0, 5 ]

[ "weather", "forecast", "for", "Tallahassee", "this", "weekend" ]

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

[ "Does", "Angelina", "Jolie", "have", "a", "speech", "in", "Chicago", "IL", "?" ]

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

[ "fried", "chicken", "Cicero", "IL" ]

[ 0, 0, 9, 10 ]

[ "sandwiches", "Tuscaloosa", ",", "AL" ]

[ 0, 9, 10, 10 ]

[ "pasta", "MO" ]

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[ "hiking", "trails", "Ellicott", "City", "MD" ]

[ 0, 0, 9, 10, 10 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Indianapolis", "Marketing", "Solutions", "in", "IN", "?" ]

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

[ "Best", "deals", "on", "guided", "tours", "in", "Financial", "District", ",", "NY" ]

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

[ "How", "to", "get", "discounts", "on", "honeymoon", "destinations", "bookings", "?", "Where", "to", "buy", "MacBook", "online", "?" ]

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

[ "What", "is", "the", "best", "miso", "soup", "to", "eat", "for", "dinner", "?" ]

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