Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 248

[ "Is", "Roger", "Federer", "traveling", "to", "Washington", "next", "week", "?" ]

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

[ "emergency", "services", "Perris" ]

[ 0, 0, 5 ]

[ "lawyers", "in", "rancho", "cucamonga" ]

[ 0, 0, 5, 6 ]

[ "ramen", "places", "in", "ny" ]

[ 0, 0, 0, 5 ]

[ "pad", "thai", "Duskhaven" ]

[ 0, 0, 0 ]

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

[ 0, 0, 0, 0, 5 ]

[ "does", "GlaxoSmithKline", "provide", "home", "repair", "services", "in", "Portlan", "?" ]

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

[ "locations", "of", "Massachusetts", "Institute", "of", "Technology", "in", "Nevada" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "The", "Walt", "Disney", "Company", "in", "WA", "?" ]

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

[ "movie", "theaters", "Greenville", ",", "NC" ]

[ 0, 0, 9, 10, 10 ]

[ "tacos", "Des", "Plaines", ",", "Illinois" ]

[ 0, 9, 10, 10, 10 ]

[ "emergency", "services", "Rock", "Hill", ",", "SC" ]

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

[ "Does", "Roger", "Federer", "have", "a", "speech", "in", "Fairfield", ",", "CA", "?" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Glendale", "Unified", "School", "District", "in", "Nevada", "?" ]

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

[ "steak", "Riverview", ",", "Florida" ]

[ 0, 9, 10, 10 ]

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

[ 0, 0, 5, 0, 0 ]

[ "curry", "in", "QZ" ]

[ 0, 0, 0 ]

[ "Lincoln", "Park", ",", "IL", "parks" ]

[ 9, 10, 10, 10, 0 ]

[ "best", "sushi", "in", "Virginia", "Beach", ",", "Virginia" ]

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

[ "Does", "Alexander", "Davis", "have", "a", "speech", "in", "Jersey", "City", ",", "NJ", "?" ]

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

[ "Naperville", ",", "IL", "sandwiches" ]

[ 9, 10, 10, 0 ]

[ "Does", "Warren", "Buffett", "have", "a", "speech", "in", "Lakeland", ",", "FL", "?" ]

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

[ "best", "cafes", "in", "Koreatown" ]

[ 0, 0, 0, 5 ]

[ "hours", "of", "Aurora", "Logistics", "Firm", "in", "manhattan" ]

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

[ "pharmacies", "Orlando" ]

[ 0, 5 ]

[ "hummus", "Frostwood" ]

[ 0, 0 ]

[ "best", "restaurants", "in", "Roseville", ",", "CA" ]

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

[ "plumbing", "services", "in", "Riverside", ",", "California" ]

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

[ "XY", "kimchi" ]

[ 0, 0 ]

[ "nearest", "branch", "of", "Tampa", "Healthcare", "Network", "in", "Portland" ]

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

[ "plantains", "FR" ]

[ 0, 0 ]

[ "best", "pizza", "near", "Manhatta" ]

[ 0, 0, 0, 5 ]

[ "plumber", "Huntsville" ]

[ 0, 5 ]

[ "maratho", "in", "Birmingham" ]

[ 0, 0, 5 ]

[ "Bossier", "City", "LA", "ramen" ]

[ 9, 10, 10, 0 ]

[ "weather", "Anchorage" ]

[ 0, 5 ]

[ "does", "Oprah", "Winfrey", "live", "in", "Louisville" ]

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

[ "real", "estate", "agents", "St", ".", "Petersbur" ]

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

[ "does", "Cristiano", "Ronaldo", "live", "in", "Tucson" ]

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

[ "locations", "of", "Stockton", "Unified", "School", "District", "in", "Minnesota" ]

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

[ "sandwiches", "Glendale", "CA" ]

[ 0, 9, 10 ]

[ "best", "sushi", "in", "Hillsboro", ",", "OR" ]

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

[ "baklava", "Shadowpine" ]

[ 0, 0 ]

[ "Where", "to", "find", "the", "best", "stuffed", "crust", "pizza", "in", "Topeka", ",", "KS", "?" ]

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

[ "Best", "buffet", "restaurants", "in", "Weymouth", ",", "MA" ]

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

[ "pharmacies", "West", "Bloomfield", "Township" ]

[ 0, 5, 6, 6 ]

[ "Best", "deals", "on", "flights", "in", "Jackson", "Heights", ",", "New", "York" ]

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

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

[ 0, 0, 5, 0, 0 ]

[ "pizza", "FL" ]

[ 0, 7 ]

[ "ramen", "paterson" ]

[ 0, 5 ]

[ "hospital", "Bellevue", ",", "WA" ]

[ 0, 9, 10, 10 ]

[ "Aurora", ",", "Illinois", "pharmacies" ]

[ 9, 10, 10, 0 ]

[ "ramen", "Nashua", ",", "New", "Hampshire" ]

[ 0, 9, 10, 10, 10 ]

[ "churros", "NH" ]

[ 0, 7 ]

[ "home", "improvement", "services", "Montgomery", ",", "AL" ]

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

[ "Where", "to", "find", "the", "best", "bao", "buns", "in", "Hoboken", ",", "New", "Jersey", "?" ]

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

[ "sushi", "Bensonhurst" ]

[ 0, 5 ]

[ "car", "repair", "orlando" ]

[ 0, 0, 5 ]

[ "hospital", "Newark", ",", "New", "Jersey" ]

[ 0, 9, 10, 10, 10 ]

[ "does", "Harrison", "Ford", "live", "in", "Laredo" ]

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

[ "guacamole", "CT" ]

[ 0, 7 ]

[ "physio", "therapy", "Florence", "-", "Graham" ]

[ 0, 0, 5, 6, 6 ]

[ "Lincoln", ",", "NE", "salads" ]

[ 9, 10, 10, 0 ]

[ "find", "top", "-", "rated", "hospitals", "in", "Saint", "George", ",", "UT" ]

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

[ "best", "pizza", "near", "South", "Vineland" ]

[ 0, 0, 0, 5, 6 ]

[ "brunch", "Fort", "Lauderdale", ",", "Florida" ]

[ 0, 9, 10, 10, 10 ]

[ "sandwiches", "in", "Driftstone" ]

[ 0, 0, 0 ]

[ "Where", "to", "find", "the", "best", "coffee", "in", "Parkchester", ",", "NY", "?" ]

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

[ "Popular", "pho", "places", "in", "Albany", ",", "Georgia" ]

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

[ "Top", "-", "rated", "vegan", "restaurants", "in", "Santa", "Barbara", ",", "CA" ]

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

[ "miso", "soup", "JR" ]

[ 0, 0, 0 ]

[ "steak", "Toledo", ",", "Ohio" ]

[ 0, 9, 10, 10 ]

[ "home", "services", "Fall", "River" ]

[ 0, 0, 5, 6 ]

[ "best", "rated", "Winston", "-", "Salem", "Dash", "Baseball", "Team", "in", "Queens", ",", "NY" ]

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

[ "nearest", "branch", "of", "Fayetteville", "Technical", "Community", "College", "in", "durham" ]

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

[ "home", "maintenance", "services", "in", "Worcester", "MA" ]

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

[ "Queens", "pizza" ]

[ 5, 0 ]

[ "Trillium", "Vale", "pork", "ribs" ]

[ 0, 0, 0, 0 ]

[ "SP", "malai", "kofta" ]

[ 0, 0, 0 ]

[ "home", "maintenance", "services", "in", "Eagan", ",", "MN" ]

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

[ "Where", "to", "find", "the", "best", "vegan", "food", "in", "Kendale", "Lakes", "FL", "?" ]

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

[ "hours", "of", "McKinsey", "&", "Company", "in", "Waukegan" ]

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

[ "top", "hotels", "in", "Odessa", ",", "TX" ]

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

[ "desserts", "Palm", "Coast", ",", "Florida" ]

[ 0, 9, 10, 10, 10 ]

[ "Popular", "hummus", "places", "in", "South", "Vineland", ",", "NJ" ]

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

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

[ 0, 0, 0, 0, 5 ]

[ "Clinton", "Township", ",", "MI", "cakes" ]

[ 9, 10, 10, 10, 0 ]

[ "movie", "theaters", "Parkchester", "NY" ]

[ 0, 0, 9, 10 ]

[ "Can", "I", "meet", "Samuel", "Rivera", "in", "Austin", ",", "Texas", "?" ]

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

[ "Albany", ",", "NY", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "best", "cafes", "Springfield", ",", "Missouri" ]

[ 0, 0, 9, 10, 10 ]

[ "find", "game" ]

[ 0, 0 ]

[ "best", "restaurants", "parma" ]

[ 0, 0, 5 ]

[ "Pope", "Francis" ]

[ 1, 2 ]

[ "Salt", "Lake", "City", "UT", "ice", "cream" ]

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

[ "best", "sushi", "in", "South", "Bend", ",", "IN" ]

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

[ "Austin", "Film", "Society", "in", "Everett", ",", "WA" ]

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

[ "pharmacies", "Roseville", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "Best", "deals", "on", "all", "-", "inclusive", "resorts", "in", "Chico", ",", "CA" ]

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

[ "nearest", "branch", "of", "Fremont", "High", "School", "in", "Bayonne" ]

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