Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 263

[ "Alexandria", "steak" ]

[ 5, 0 ]

[ "Arvada", ",", "Colorado", "steak" ]

[ 9, 10, 10, 0 ]

[ "sushi", "Palm", "Coast", "FL" ]

[ 0, 9, 10, 10 ]

[ "lawyers", "in", "Casas", "Adobes", ",", "AZ" ]

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

[ "Does", "Leonardo", "DiCaprio", "have", "a", "speech", "in", "North", "Stamford", ",", "Connecticut", "?" ]

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

[ "Is", "Chase", "Stewart", "available", "for", "an", "appointment", "in", "newark", "?" ]

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

[ "hours", "of", "Reno", "Venture", "Capitalists", "in", "Oxnard" ]

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

[ "sushi", "in", "WR" ]

[ 0, 0, 0 ]

[ "sushi", "florissant" ]

[ 0, 5 ]

[ "home", "services", "Fort", "Wort" ]

[ 0, 0, 5, 6 ]

[ "ramen", "Vista", "CA" ]

[ 0, 9, 10 ]

[ "Does", "Austin", "Hernandez", "have", "a", "speech", "in", "Tallahassee", ",", "FL", "?" ]

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

[ "current", "weather", "Whittier" ]

[ 0, 0, 5 ]

[ "banh", "mi", "near", "me", "Charlotte" ]

[ 0, 0, 0, 0, 5 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Spokane", "Steel", "Fabricators", "in", "IA", "?" ]

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

[ "Where", "to", "find", "the", "best", "hummus", "in", "Tacoma", ",", "Washington", "?" ]

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

[ "Thistledown", "fondue" ]

[ 0, 0 ]

[ "quaggly" ]

[ 0 ]

[ "Wellington", "FL", "movie", "theaters" ]

[ 9, 10, 0, 0 ]

[ "home", "improvement", "services", "Burlington", ",", "NC" ]

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

[ "Where", "to", "eat", "coffee", "in", "Brookhaven", ",", "GA", "?" ]

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

[ "hummus", "in", "Trillium", "Vale" ]

[ 0, 0, 0, 0 ]

[ "top", "hotels", "in", "Parkchester" ]

[ 0, 0, 0, 5 ]

[ "car", "repair", "West", "Lynchburg" ]

[ 0, 0, 5, 6 ]

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

[ 0, 0, 7 ]

[ "Where", "to", "find", "the", "best", "yakitori", "in", "Boston", ",", "Massachusetts", "?" ]

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

[ "Affordable", "diner", "in", "Memphis", ",", "TN" ]

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

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

[ 0, 0, 5, 0, 0 ]

[ "best", "cafes", "in", "Elgin", ",", "Illinois" ]

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

[ "locations", "of", "Chesapeake", "Data", "Systems", "in", "OR" ]

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

[ "Top", "-", "rated", "vegan", "restaurants", "in", "Fort", "Worth", ",", "TX" ]

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

[ "best", "cafes", "Columbia", ",", "SC" ]

[ 0, 0, 9, 10, 10 ]

[ "cupcakes", "near", "me", "brooklyn" ]

[ 0, 0, 0, 5 ]

[ "emergency", "services", "hoover" ]

[ 0, 0, 5 ]

[ "Normal", ",", "Illinois", "sushi" ]

[ 9, 10, 10, 0 ]

[ "clam", "chowder", "in", "Athens" ]

[ 0, 0, 0, 5 ]

[ "East", "Los", "Angeles", ",", "CA", "ramen" ]

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

[ "home", "improvement", "services", "Brownsville", ",", "NY" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Detroit", "Manufacturing", "Hub", "in", "KS", "?" ]

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

[ "tazzler" ]

[ 0 ]

[ "does", "Kansas", "City", "Architectural", "Firm", "provide", "home", "repair", "services", "in", "Tulsa", "?" ]

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

[ "locations", "of", "Tempe", "Electric", "Vehicles", "in", "South", "Carolina" ]

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

[ "Gilded", "Summit", "onigiri" ]

[ 0, 0, 0 ]

[ "hummus", "in", "PT" ]

[ 0, 0, 0 ]

[ "Jennifer", "Doudna", "age" ]

[ 1, 2, 0 ]

[ "Does", "Theresa", "May", "have", "a", "speech", "in", "Westminster", ",", "CO", "?" ]

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

[ "movie", "theaters", "Victorville", "CA" ]

[ 0, 0, 9, 10 ]

[ "uncertain", "randomness" ]

[ 0, 0 ]

[ "does", "Sandra", "Bullock", "live", "in", "Parma" ]

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

[ "roof", "repair", "specialists", "in", "Sioux", "Falls" ]

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

[ "locations", "of", "Syracuse", "University", "in", "Idaho" ]

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

[ "Gildan", "naan" ]

[ 0, 0 ]

[ "does", "Wall", "Street", "Journal", "operate", "in", "Albuquerque", ",", "NM", "?" ]

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

[ "hiking", "trails", "Murfreesboro", ",", "TN" ]

[ 0, 0, 9, 10, 10 ]

[ "Top", "destinations", "for", "car", "rentals", "in", "Downey", "CA" ]

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

[ "East", "Los", "Angeles", ",", "CA", "breakfast", "food" ]

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

[ "Affordable", "sushi", "bars", "in", "Worcester", ",", "MA" ]

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

[ "contact", "Richmond", "Financial", "Group", "in", "Morningside", "Heights" ]

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

[ "Is", "Zachary", "Fisher", "traveling", "to", "Tennessee", "next", "week", "?" ]

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

[ "plumber", "Redmond", ",", "Washington" ]

[ 0, 9, 10, 10 ]

[ "best", "rated", "Austin", "Engineering", "Solutions", "in", "Hillsboro", ",", "OR" ]

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

[ "Top", "destinations", "for", "travel", "insurance", "in", "Fort", "Wayne", ",", "IN" ]

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

[ "Most", "popular", "Indian", "restaurants", "for", "takeout" ]

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

[ "fried", "chicken", "Scranton", ",", "PA" ]

[ 0, 0, 9, 10, 10 ]

[ "parks", "Dothan", "AL" ]

[ 0, 9, 10 ]

[ "Top", "-", "rated", "cafes", "in", "Waldorf", ",", "Maryland" ]

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

[ "Zephyr", "Hollow", "clam", "chowder" ]

[ 0, 0, 0, 0 ]

[ "pharmacies", "Canoga", "Park", ",", "California" ]

[ 0, 9, 10, 10, 10 ]

[ "weather", "Aurora", ",", "CO" ]

[ 0, 9, 10, 10 ]

[ "Forest", "Hills", "temperature" ]

[ 5, 6, 0 ]

[ "Does", "Mahatma", "Gandhi", "have", "a", "speech", "in", "Huntersville", ",", "NC", "?" ]

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

[ "waffles", "UR" ]

[ 0, 0 ]

[ "pharmacies", "clovis" ]

[ 0, 5 ]

[ "Riverside", "CA", "parks" ]

[ 9, 10, 0 ]

[ "Where", "to", "eat", "korean", "barbecue", "in", "Tampa", "FL", "?" ]

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

[ "best", "cafes", "in", "Westminster", ",", "CA" ]

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

[ "Tampa", "tacos" ]

[ 5, 0 ]

[ "Top", "destinations", "for", "family", "vacations", "in", "Rowlett", "TX" ]

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

[ "nurse", "st", ".", "louis" ]

[ 0, 5, 6, 6 ]

[ "Where", "is", "Noah", "Richardson", "hosting", "an", "event", "?" ]

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

[ "pasta", "Ames", ",", "IA" ]

[ 0, 9, 10, 10 ]

[ "Silverbrook", "paneer" ]

[ 0, 0 ]

[ "Minneapolis", "MN", "pasta" ]

[ 9, 10, 0 ]

[ "home", "maintenance", "services", "in", "North", "Charleston", ",", "SC" ]

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

[ "How", "to", "convert", "credit", "card", "to", "another", "currency", "?" ]

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

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

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

[ "Pittsburg", "CA", "brunch" ]

[ 9, 10, 0 ]

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

[ 0, 0, 0, 0, 5 ]

[ "Does", "George", "Clooney", "have", "a", "speech", "in", "New", "York", "City", ",", "New", "York", "?" ]

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

[ "Rowlett", ",", "Texas", "best", "cafes" ]

[ 9, 10, 10, 0, 0 ]

[ "pizza", "near", "me", "Warwick" ]

[ 0, 0, 0, 5 ]

[ "Elizabeth", ",", "New", "Jersey", "noodles" ]

[ 9, 10, 10, 10, 0 ]

[ "Gaithersburg", ",", "Maryland", "ramen" ]

[ 9, 10, 10, 0 ]

[ "plumbing", "services", "in", "West", "Town", "IL" ]

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

[ "does", "Patrick", "Stewart", "live", "in", "Edison" ]

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

[ "find", "hiking", "trails", "in", "Columbia", ",", "MO" ]

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

[ "Rockville", "MD", "brunch" ]

[ 9, 10, 0 ]

[ "sandwiches", "Rapid", "City", ",", "South", "Dakota" ]

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

[ "burgers", "Antioch", ",", "California" ]

[ 0, 9, 10, 10 ]

[ "Georgetown", ",", "Texas", "desserts" ]

[ 9, 10, 10, 0 ]