Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 244

[ "falafel", "in", "Blossom", "Creek" ]

[ 0, 0, 0, 0 ]

[ "Spokane", "WA", "hamburgers" ]

[ 9, 10, 0 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Seattle", "Pacific", "University", "in", "Minnesota", "?" ]

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

[ "hamburgers", "Columbus", "OH" ]

[ 0, 9, 10 ]

[ "Can", "I", "meet", "Carl", "Sagan", "in", "Amarillo", ",", "TX", "?" ]

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

[ "Affordable", "steakhouses", "in", "Hollywood", ",", "FL" ]

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

[ "weather", "Orem", ",", "Utah" ]

[ 0, 9, 10, 10 ]

[ "Miami", "International", "University", "in", "East", "Hampton", ",", "VA" ]

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

[ "Arcadia", ",", "California", "parks" ]

[ 9, 10, 10, 0 ]

[ "Can", "I", "meet", "Steven", "Nelson", "in", "Oakland", "CA", "?" ]

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

[ "goulash", "near", "me", "hnl" ]

[ 0, 0, 0, 5 ]

[ "Lubbock", ",", "TX", "pasta" ]

[ 9, 10, 10, 0 ]

[ "best", "rated", "Aurora", "Logistics", "Firm", "in", "Sacramento", ",", "CA" ]

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

[ "weather", "Wichit" ]

[ 0, 5 ]

[ "best", "rated", "The", "Washington", "Post", "in", "Hillsboro", "OR" ]

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

[ "burgers", "in", "chicago" ]

[ 0, 0, 5 ]

[ "Top", "destinations", "for", "flights", "in", "Indianapolis", "IN" ]

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

[ "Provo", ",", "UT", "best", "cafes" ]

[ 9, 10, 10, 0, 0 ]

[ "Huntsville", "Rocket", "Technologies", "in", "Oklahoma", "City", ",", "OK" ]

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

[ "forgot", "randomness" ]

[ 0, 0 ]

[ "real", "estate", "agents", "oxnard" ]

[ 0, 0, 0, 5 ]

[ "Salem", ",", "Oregon", "sandwiches" ]

[ 9, 10, 10, 0 ]

[ "Where", "to", "eat", "souvlaki", "in", "Carson", ",", "CA", "?" ]

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

[ "locations", "of", "San", "Bernardino", "Community", "College", "District", "in", "TX" ]

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

[ "Top", "destinations", "for", "ski", "trips", "in", "Mesa", ",", "Arizona" ]

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

[ "Near", "North", "Side", ",", "Illinois", "movie", "theaters" ]

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

[ "local", "electricians", "in", "Hempstead", "NY" ]

[ 0, 0, 0, 9, 10 ]

[ "best", "sushi", "in", "The", "Villages", "FL" ]

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

[ "bibimbap", "YT" ]

[ 0, 0 ]

[ "samosa", "Sablepeak" ]

[ 0, 0 ]

[ "does", "Omaha", "Financial", "Services", "provide", "home", "repair", "services", "in", "Minneapolis", "?" ]

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

[ "does", "Memphis", "Logistics", "Services", "offer", "roof", "repair", "in", "North", "Chicopee", ",", "Massachusetts", "?" ]

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

[ "top", "hotels", "in", "Sunnyvale", ",", "CA" ]

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

[ "yakitori", "in", "Hesperi" ]

[ 0, 0, 5 ]

[ "Memphis", "ice", "cream" ]

[ 5, 0, 0 ]

[ "seafood", "Woodland", "Hills", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "Affordable", "Chinese", "restaurants", "in", "Gardena", ",", "CA" ]

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

[ "Pittsburg", ",", "CA", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "Is", "Jennifer", "Lawrence", "traveling", "to", "Minnesota", "next", "week", "?" ]

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

[ "Gardena", "CA", "parks" ]

[ 9, 10, 0 ]

[ "vegan", "food", "South", "Jordan", ",", "UT" ]

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

[ "Washington", "salads" ]

[ 7, 0 ]

[ "find", "hiking", "trails", "in", "Sanford", ",", "FL" ]

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

[ "best", "lake", "in", "Tacoma" ]

[ 0, 0, 0, 5 ]

[ "East", "Los", "Angeles", ",", "CA", "hiking", "trails" ]

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

[ "Best", "deals", "on", "road", "trips", "in", "Houston", ",", "Texas" ]

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

[ "Popular", "gnocchi", "places", "in", "Chicago", ",", "IL" ]

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

[ "coffee", "near", "me", "top" ]

[ 0, 0, 0, 5 ]

[ "doctor", "McKinney", ",", "TX" ]

[ 0, 9, 10, 10 ]

[ "nearest", "branch", "of", "United", "Airlines", "in", "cjn" ]

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

[ "local", "electricians", "in", "Dothan", ",", "AL" ]

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

[ "sichuan", "chicken", "Riverwatch" ]

[ 0, 0, 0 ]

[ "nearest", "branch", "of", "Oklahoma", "City", "University", "in", "indianapolis" ]

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

[ "contact", "Novartis", "in", "New", "York", "City" ]

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

[ "does", "Amazon", ".", "com", "offer", "roof", "repair", "in", "New", "York", "City", "NY", "?" ]

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

[ "ramen", "Menifee" ]

[ 0, 5 ]

[ "physio", "therapy", "Lincoln", ",", "Nebraska" ]

[ 0, 0, 9, 10, 10 ]

[ "Andrew", "Garfield" ]

[ 1, 2 ]

[ "Is", "Mitchell", "Wright", "traveling", "to", "Indiana", "next", "week", "?" ]

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

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

[ 0, 9, 10, 10 ]

[ "Can", "I", "meet", "Luke", "Torres", "in", "Yucaipa", ",", "CA", "?" ]

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

[ "Lakewood", ",", "NJ", "soups" ]

[ 9, 10, 10, 0 ]

[ "top", "-", "rated", "movie", "theaters", "in", "Castro", "Valley", ",", "CA" ]

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

[ "pasta", "ME" ]

[ 0, 7 ]

[ "vegan", "food", "Silver", "Spring", "MD" ]

[ 0, 0, 9, 10, 10 ]

[ "Is", "Megan", "Allen", "traveling", "to", "NH", "next", "week", "?" ]

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

[ "plumber", "Bridgeport", ",", "Connecticut" ]

[ 0, 9, 10, 10 ]

[ "Stamford", ",", "CT", "pizza" ]

[ 9, 10, 10, 0 ]

[ "home", "improvement", "Ellicott", "City" ]

[ 0, 0, 5, 6 ]

[ "South", "Shore", "IL", "pasta" ]

[ 9, 10, 10, 0 ]

[ "physio", "therapy", "Oceanside" ]

[ 0, 0, 5 ]

[ "does", "Emma", "Stone", "live", "in", "South", "Lawndale" ]

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

[ "West", "Town", "IL", "pizza" ]

[ 9, 10, 10, 0 ]

[ "worksho", "in", "El", "Cajon" ]

[ 0, 0, 5, 6 ]

[ "Top", "destinations", "for", "beach", "resorts", "in", "Orlando", ",", "FL" ]

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

[ "Affordable", "Mexican", "restaurants", "in", "Corpus", "Christi", ",", "TX" ]

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

[ "Popular", "pho", "places", "in", "Portland", ",", "OR" ]

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

[ "tacos", "Birmingham", "AL" ]

[ 0, 9, 10 ]

[ "parks", "in", "Pittsburgh" ]

[ 0, 0, 5 ]

[ "showcas", "in", "hanford" ]

[ 0, 0, 5 ]

[ "stuffed", "crust", "pizza", "in", "Trillium", "Vale" ]

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

[ "Mobile", "Business", "Solutions", "in", "Chandler", "AZ" ]

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

[ "hamburgers", "East", "Chattanooga", ",", "TN" ]

[ 0, 9, 10, 10, 10 ]

[ "Does", "Amanda", "Carter", "have", "a", "speech", "in", "West", "Palm", "Beach", ",", "FL", "?" ]

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

[ "places", "to", "visit", "in", "hillsboro" ]

[ 0, 0, 0, 0, 5 ]

[ "plumber", "Costa", "Mesa", "CA" ]

[ 0, 9, 10, 10 ]

[ "seafood", "Round", "Rock", ",", "TX" ]

[ 0, 9, 10, 10, 10 ]

[ "Chandler", "AZ", "breakfast", "food" ]

[ 9, 10, 0, 0 ]

[ "West", "Coon", "Rapids", "MN", "tacos" ]

[ 9, 10, 10, 10, 0 ]

[ "best", "sushi", "in", "Weymouth", ",", "Massachusetts" ]

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

[ "quesadillas", "in", "Lancaster" ]

[ 0, 0, 5 ]

[ "does", "Meghan", "Markle", "live", "in", "Los", "Angeles" ]

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

[ "places", "to", "visit", "in", "cae" ]

[ 0, 0, 0, 0, 5 ]

[ "locations", "of", "Winston", "-", "Salem", "Marketing", "Firm", "in", "Alabama" ]

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

[ "Zenith", "Valley", "souvlaki" ]

[ 0, 0, 0 ]

[ "sushi", "Washington", "Height" ]

[ 0, 5, 6 ]

[ "Affordable", "food", "trucks", "in", "Fort", "Worth", "TX" ]

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

[ "parks", "in", "Erie", "PA" ]

[ 0, 0, 9, 10 ]

[ "contact", "Fayetteville", "Consulting", "Services", "in", "Fayetteville" ]

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

[ "locations", "of", "Chicago", "Regional", "Bank", "in", "Arkansas" ]

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