Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 250

[ "car", "repair", "Mount", "Vernon", ",", "New", "York" ]

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

[ "lawyers", "in", "East", "Chattanooga" ]

[ 0, 0, 5, 6 ]

[ "best", "cafes", "in", "Thousand", "Oaks" ]

[ 0, 0, 0, 5, 6 ]

[ "What", "is", "the", "best", "way", "to", "invest", "cash", "app", "?" ]

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

[ "Where", "to", "eat", "ratatouille", "in", "New", "Orleans", ",", "LA", "?" ]

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

[ "ramen", "in", "Tacoma" ]

[ 0, 0, 5 ]

[ "Meriden", ",", "CT", "hiking", "trails" ]

[ 9, 10, 10, 0, 0 ]

[ "Top", "destinations", "for", "luxury", "travel", "in", "Plantation", "FL" ]

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

[ "contact", "JPMorgan", "Chase", "in", "Charlotte" ]

[ 0, 3, 4, 0, 5 ]

[ "doctor", "macon" ]

[ 0, 5 ]

[ "best", "restaurants", "kissimmee" ]

[ 0, 0, 5 ]

[ "Carson", "City", ",", "Nevada", "noodles" ]

[ 9, 10, 10, 10, 0 ]

[ "florist", "East", "Los", "Angeles", ",", "California" ]

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

[ "breakfast", "food", "JT" ]

[ 0, 0, 0 ]

[ "noodles", "Bellevue", ",", "WA" ]

[ 0, 9, 10, 10 ]

[ "KV", "tandoori", "chicken" ]

[ 0, 0, 0 ]

[ "weather", "queens" ]

[ 0, 5 ]

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

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

[ "Burnsville", ",", "MN", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

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

[ 0, 0, 5, 0, 0 ]

[ "Waterford", ",", "MI", "best", "cafes" ]

[ 9, 10, 10, 0, 0 ]

[ "brunch", "Pasadena", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "conc", "in", "pvu" ]

[ 0, 0, 5 ]

[ "home", "services", "West", "Hollywood" ]

[ 0, 0, 5, 6 ]

[ "best", "cafes", "Palo", "Alto", ",", "CA" ]

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

[ "Lakewood", "OH", "vegan", "food" ]

[ 9, 10, 0, 0 ]

[ "Where", "to", "eat", "tacos", "in", "Miami", ",", "FL", "?" ]

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

[ "pad", "thai", "Connecticut" ]

[ 0, 0, 7 ]

[ "Top", "pho", "restaurants", "in", "Queens", ",", "NY", "this", "weekend" ]

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

[ "Dallas", "Medical", "Center", "in", "Philadelphia", ",", "Pennsylvania" ]

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

[ "contact", "Grand", "Rapids", "Healthcare", "Network", "in", "Odessa" ]

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

[ "Is", "Bryan", "Taylor", "available", "for", "an", "appointment", "in", "Lawton", "?" ]

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

[ "Popular", "gnocchi", "places", "in", "Salinas", ",", "California" ]

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

[ "vegan", "food", "in", "Ashspire" ]

[ 0, 0, 0, 0 ]

[ "pierogi", "Georgia" ]

[ 0, 7 ]

[ "nurse", "Bossier", "City" ]

[ 0, 5, 6 ]

[ "does", "SpaceX", "offer", "roof", "repair", "in", "Richmond", ",", "California", "?" ]

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

[ "Corpus", "Christi", "TX", "brunch" ]

[ 9, 10, 10, 0 ]

[ "Manchester", ",", "NH", "hiking", "trails" ]

[ 9, 10, 10, 0, 0 ]

[ "doctor", "Mesquite", "TX" ]

[ 0, 9, 10 ]

[ "Taylor", ",", "MI", "hiking", "trails" ]

[ 9, 10, 10, 0, 0 ]

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

[ 0, 0, 5, 0, 0 ]

[ "Greensboro", ",", "North", "Carolina", "desserts" ]

[ 9, 10, 10, 10, 0 ]

[ "Popular", "hummus", "places", "in", "Philadelphia", ",", "Pennsylvania" ]

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

[ "best", "restaurants", "mod" ]

[ 0, 0, 5 ]

[ "pizza", "Chino", "Hill" ]

[ 0, 5, 6 ]

[ "best", "cafes", "Albany", "Park", ",", "Illinois" ]

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

[ "Normal", ",", "IL", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "Top", "paella", "restaurants", "in", "San", "Jose", ",", "CA", "this", "weekend" ]

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

[ "best", "sushi", "in", "Pasadena", ",", "CA" ]

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

[ "hospital", "Mesquite", ",", "Texas" ]

[ 0, 9, 10, 10 ]

[ "Cupertino", ",", "CA", "seafood" ]

[ 9, 10, 10, 0 ]

[ "Patagonia", "in", "Queens", ",", "New", "York" ]

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

[ "calamari", "near", "me", "McAllen" ]

[ 0, 0, 0, 5 ]

[ "does", "Sacramento", "Business", "Ventures", "offer", "roof", "repair", "in", "Indianapolis", ",", "IN", "?" ]

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

[ "hospital", "edina" ]

[ 0, 5 ]

[ "hamburgers", "Tempe", "Junction", ",", "AZ" ]

[ 0, 9, 10, 10, 10 ]

[ "noodles", "Blue", "Springs", "MO" ]

[ 0, 9, 10, 10 ]

[ "burritos", "in", "Kite", "'", "s", "Hollow" ]

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

[ "Syracuse", ",", "New", "York", "sandwiches" ]

[ 9, 10, 10, 10, 0 ]

[ "Saint", "Paul", "donuts" ]

[ 5, 6, 0 ]

[ "Can", "I", "meet", "Elon", "Musk", "in", "Dallas", ",", "Texas", "?" ]

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

[ "contact", "Seattle", "Pacific", "University", "in", "Eagan" ]

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

[ "local", "electricians", "in", "Newton", "MA" ]

[ 0, 0, 0, 9, 10 ]

[ "sushi", "south", "fulton" ]

[ 0, 5, 6 ]

[ "tandoori", "chicken", "Forest", "Vale" ]

[ 0, 0, 0, 0 ]

[ "breakfast", "near", "me", "l", ".", "a", "." ]

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

[ "Eaglesong", "soups" ]

[ 0, 0 ]

[ "coffee", "near", "me", "columbus" ]

[ 0, 0, 0, 5 ]

[ "does", "Yonkers", "Public", "Schools", "operate", "in", "Brooklyn", ",", "New", "York", "?" ]

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

[ "boardwal", "hours" ]

[ 0, 0 ]

[ "movie", "theaters", "Valencia", ",", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "contact", "Fidelity", "Investments", "in", "big", "apple" ]

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

[ "How", "to", "trade", "VZ", "on", "the", "stock", "market", "?" ]

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

[ "RW", "strudel" ]

[ 0, 0 ]

[ "nurse", "Manhatta" ]

[ 0, 5 ]

[ "Fayetteville", ",", "AR", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

[ "Madison", "Biotechnology", "Solutions", "in", "Virginia", "Beach", ",", "VA" ]

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

[ "parks", "in", "Monterey", "Park", ",", "CA" ]

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

[ "Phoenix", "AZ", "breakfast", "food" ]

[ 9, 10, 0, 0 ]

[ "restaurants", "near", "me", "Palmdal" ]

[ 0, 0, 0, 5 ]

[ "florist", "abq" ]

[ 0, 5 ]

[ "best", "rated", "Fresno", "Pacific", "University", "in", "The", "Bronx", ",", "New", "York" ]

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

[ "hours", "of", "Oklahoma", "City", "University", "in", "san", "jose" ]

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

[ "Best", "deals", "on", "beach", "resorts", "in", "Reading", ",", "PA" ]

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

[ "locations", "of", "Microsoft", "Corporation", "in", "Texas" ]

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

[ "tempura", "HT" ]

[ 0, 0 ]

[ "How", "to", "plan", "a", "road", "trips", "adventure", "?" ]

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

[ "Astoria", ",", "NY", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "does", "San", "Bernardino", "Logistics", "Group", "offer", "roof", "repair", "in", "West", "Hartford", ",", "CT", "?" ]

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

[ "is", "Elizabeth", "Blackburn", "married", "?" ]

[ 0, 1, 2, 0, 0 ]

[ "cakes", "Brentwood", ",", "NY" ]

[ 0, 9, 10, 10 ]

[ "Is", "Julia", "Roberts", "traveling", "to", "District", "of", "Columbia", "next", "week", "?" ]

[ 0, 1, 2, 0, 0, 7, 8, 8, 0, 0, 0 ]

[ "Center", "City", ",", "PA", "parks" ]

[ 9, 10, 10, 10, 0 ]

[ "real", "estate", "agents", "not" ]

[ 0, 0, 0, 5 ]

[ "home", "services", "Ann", "Arbor" ]

[ 0, 0, 5, 6 ]

[ "sushi", "Beaverto" ]

[ 0, 5 ]

[ "Top", "-", "rated", "fast", "food", "chains", "in", "Mira", "Mesa", ",", "CA" ]

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

[ "desserts", "West", "Hartford", ",", "CT" ]

[ 0, 9, 10, 10, 10 ]

[ "roof", "repair", "west", "bloomfield" ]

[ 0, 0, 5, 6 ]