Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 266

[ "Lexington", "-", "Fayette", ",", "KY", "desserts" ]

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

[ "Where", "to", "find", "cheap", "road", "trips", "options", "?" ]

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

[ "hummus", "HT" ]

[ 0, 0 ]

[ "does", "St", ".", "Paul", "Medical", "Associates", "provide", "home", "repair", "services", "in", "Philadelphia", "?" ]

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

[ "steak", "Norfolk" ]

[ 0, 5 ]

[ "lawyers", "in", "birmingham" ]

[ 0, 0, 5 ]

[ "Briarfrost", "kebabs" ]

[ 0, 0 ]

[ "Redlands", "gnocchi" ]

[ 5, 0 ]

[ "plumbing", "services", "in", "Weymouth", "MA" ]

[ 0, 0, 0, 9, 10 ]

[ "hiking", "trails", "Tempe", "Junction", "AZ" ]

[ 0, 0, 9, 10, 10 ]

[ "Best", "Japanese", "restaurants", "in", "Paterson", "NJ" ]

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

[ "poke", "bowl", "in", "Arkansas" ]

[ 0, 0, 0, 7 ]

[ "emergency", "services", "Pawtucket", ",", "RI" ]

[ 0, 0, 9, 10, 10 ]

[ "What", "awards", "has", "Elijah", "Wood", "won", "?" ]

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

[ "Akron", ",", "OH", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "cakes", "in", "Odessa" ]

[ 0, 0, 5 ]

[ "bibimbap", "PT" ]

[ 0, 0 ]

[ "brunch", "Lynwood", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "Las", "Vegas", ",", "NV", "fried", "chicken" ]

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

[ "Top", "-", "rated", "fine", "dining", "in", "Thousand", "Oaks", ",", "CA" ]

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

[ "calamari", "in", "Driftvale" ]

[ 0, 0, 0 ]

[ "Silver", "Spring", ",", "MD", "desserts" ]

[ 9, 10, 10, 10, 0 ]

[ "is", "Fumio", "Kishida", "married", "?" ]

[ 0, 1, 2, 0, 0 ]

[ "Where", "to", "find", "the", "best", "galbi", "in", "Piscataway", ",", "NJ", "?" ]

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

[ "onigiri", "TX" ]

[ 0, 7 ]

[ "Popular", "baklava", "places", "in", "Fort", "Worth", ",", "TX" ]

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

[ "Omaha", ",", "NE", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

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

[ 0, 0, 0, 0, 5 ]

[ "City", "of", "Milford", "(", "balance", ")", "CT", "cakes" ]

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

[ "workout", "in", "Miami" ]

[ 0, 0, 5 ]

[ "Lakeland", ",", "Florida", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

[ "best", "plaza", "in", "colton" ]

[ 0, 0, 0, 5 ]

[ "New", "Bedford", ",", "MA", "hamburgers" ]

[ 9, 10, 10, 10, 0 ]

[ "nearest", "branch", "of", "The", "Walt", "Disney", "Company", "in", "richmond" ]

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

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

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

[ "Financial", "District", "poke", "bowl" ]

[ 5, 6, 0, 0 ]

[ "Louisville", ",", "KY", "burgers" ]

[ 9, 10, 10, 0 ]

[ "home", "maintenance", "services", "in", "Poway", "CA" ]

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

[ "Everett", ",", "WA", "soups" ]

[ 9, 10, 10, 0 ]

[ "contact", "Daytona", "International", "Speedway", "in", "Jamaica" ]

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

[ "florist", "eug" ]

[ 0, 5 ]

[ "Can", "I", "meet", "Christopher", "Foster", "in", "San", "Diego", ",", "CA", "?" ]

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

[ "Can", "I", "meet", "Carl", "Sagan", "in", "Carlsbad", ",", "CA", "?" ]

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

[ "top", "yelp", "reviews", "springdale" ]

[ 0, 0, 0, 5 ]

[ "sushi", "in", "Bluewater" ]

[ 0, 0, 0 ]

[ "Roanoke", ",", "VA", "pharmacies" ]

[ 9, 10, 10, 0 ]

[ "Affordable", "buffet", "restaurants", "in", "East", "Harlem", ",", "New", "York" ]

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

[ "Ravencrest", "ratatouille" ]

[ 0, 0 ]

[ "weather", "forecast", "north", "las", "vegas" ]

[ 0, 0, 5, 6, 6 ]

[ "home", "improvement", "Port", "Arthur" ]

[ 0, 0, 5, 6 ]

[ "weather", "forecast", "spg" ]

[ 0, 0, 5 ]

[ "How", "to", "calculate", "the", "returns", "on", "debt", "consolidation", "?" ]

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

[ "Cordova", "brownies" ]

[ 5, 0 ]

[ "Knoxville", "TN", "pharmacies" ]

[ 9, 10, 0 ]

[ "hours", "of", "Oklahoma", "City", "University", "in", "Denver" ]

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

[ "does", "Ian", "McKellen", "live", "in", "New", "York", "City" ]

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

[ "hiking", "trails", "Perth", "Amboy", ",", "NJ" ]

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

[ "is", "Hugo", "Weaving", "married", "?" ]

[ 0, 1, 2, 0, 0 ]

[ "soups", "Meads", "KY" ]

[ 0, 9, 10 ]

[ "Near", "North", "Side", ",", "IL", "pharmacies" ]

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

[ "Fuel", "efficiency", "of", "Ford", "Mustang" ]

[ 0, 0, 0, 0, 0 ]

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

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

[ "roof", "repair", "near", "New", "Rochell" ]

[ 0, 0, 0, 5, 6 ]

[ "best", "sushi", "in", "Lakewood", ",", "WA" ]

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

[ "Is", "Carl", "Sagan", "traveling", "to", "SD", "next", "week", "?" ]

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

[ "vegan", "food", "Akron", ",", "OH" ]

[ 0, 0, 9, 10, 10 ]

[ "Cordova", "TN", "tacos" ]

[ 9, 10, 0 ]

[ "hospital", "Greenburgh", ",", "NY" ]

[ 0, 9, 10, 10 ]

[ "restaurants", "near", "Clarksvill", "with", "good", "reviews" ]

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

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

[ 0, 0, 7, 8 ]

[ "locations", "of", "Miami", "Lakes", "Software", "Solutions", "in", "IL" ]

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

[ "Bradenton", ",", "Florida", "hiking", "trails" ]

[ 9, 10, 10, 0, 0 ]

[ "Is", "Hannah", "Lewis", "traveling", "to", "Michigan", "next", "week", "?" ]

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

[ "nurse", "Taylorsville" ]

[ 0, 5 ]

[ "Is", "Prince", "Harry", "available", "for", "an", "appointment", "in", "Tempe", "?" ]

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

[ "falafel", "in", "Oceangrove" ]

[ 0, 0, 0 ]

[ "Chicago", "IL", "sandwiches" ]

[ 9, 10, 0 ]

[ "locations", "of", "New", "Orleans", "Saints", "Football", "Club", "in", "TX" ]

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

[ "sushi", "vallejo" ]

[ 0, 5 ]

[ "does", "Indianapolis", "Colts", "Football", "Team", "operate", "in", "Brooklyn", ",", "NY", "?" ]

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

[ "best", "rated", "San", "Francisco", "Opera", "in", "Lincoln", "NE" ]

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

[ "Ivory", "Spire", "sandwiches" ]

[ 0, 0, 0 ]

[ "meatballs", "near", "me", "Tampa" ]

[ 0, 0, 0, 5 ]

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

[ 0, 0, 5, 6, 6 ]

[ "Glendora", "CA", "best", "cafes" ]

[ 9, 10, 0, 0 ]

[ "Chico", ",", "CA", "brunch" ]

[ 9, 10, 10, 0 ]

[ "brunch", "Omaha", "NE" ]

[ 0, 9, 10 ]

[ "physio", "therapy", "Fishers" ]

[ 0, 0, 5 ]

[ "gyms", "in", "Kentwoo" ]

[ 0, 0, 5 ]

[ "fried", "rice", "XL" ]

[ 0, 0, 0 ]

[ "best", "observato", "in", "Tuscaloosa" ]

[ 0, 0, 0, 5 ]

[ "tacos", "Milford", ",", "CT" ]

[ 0, 9, 10, 10 ]

[ "best", "restaurants", "in", "Dothan", ",", "AL" ]

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

[ "miso", "soup", "whittier" ]

[ 0, 0, 5 ]

[ "spring", "rolls", "in", "Dawnhaven" ]

[ 0, 0, 0, 0 ]

[ "Frisco", "Software", "Hub", "in", "Bethesda", ",", "Maryland" ]

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

[ "vegan", "food", "Salt", "Lake", "City", ",", "UT" ]

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

[ "QT", "schnitzel" ]

[ 0, 0 ]

[ "MN", "sushi" ]

[ 7, 0 ]

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

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