Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 250

[ "brunch", "Kingsport", ",", "TN" ]

[ 0, 9, 10, 10 ]

[ "breakfast", "near", "me", "portsmouth", "heights" ]

[ 0, 0, 0, 5, 6 ]

[ "Shadowpine", "gnocchi" ]

[ 0, 0 ]

[ "Mount", "Pleasant", ",", "South", "Carolina", "fried", "chicken" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Newark", "Beth", "Israel", "Medical", "Center", "in", "Wisconsin", "?" ]

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

[ "Top", "-", "rated", "diner", "in", "Anchorage", "AK" ]

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

[ "movie", "theaters", "South", "Boston", ",", "MA" ]

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

[ "best", "cafes", "Union", "NJ" ]

[ 0, 0, 9, 10 ]

[ "Chino", "CA", "noodles" ]

[ 9, 10, 0 ]

[ "Levittown", ",", "PA", "pharmacies" ]

[ 9, 10, 10, 0 ]

[ "Is", "David", "Bowie", "available", "for", "an", "appointment", "in", "Seattle", "?" ]

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

[ "ice", "cream", "Providence", ",", "Rhode", "Island" ]

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

[ "locations", "of", "Chesapeake", "Energy", "Corporation", "in", "California" ]

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

[ "best", "river", "in", "Wheaton" ]

[ 0, 0, 0, 5 ]

[ "parks", "in", "Lake", "Fores" ]

[ 0, 0, 5, 6 ]

[ "Affordable", "Italian", "restaurants", "in", "Tacoma", "WA" ]

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

[ "parks", "in", "South", "Dakota" ]

[ 0, 0, 7, 8 ]

[ "parks", "in", "South", "Shore", ",", "Illinois" ]

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

[ "nachos", "Umberstone" ]

[ 0, 0 ]

[ "physio", "therapy", "east", "new", "york" ]

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[ "nurse", "Rosevill" ]

[ 0, 5 ]

[ "best", "sushi", "in", "Silver", "Spring", ",", "MD" ]

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

[ "who", "are", "the", "top", "doctors", "in", "Rochester", "NY", "?" ]

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

[ "Where", "to", "find", "the", "best", "sichuan", "chicken", "in", "San", "Diego", ",", "CA", "?" ]

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

[ "events", "in", "farmington", "hills", "this", "weekend" ]

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

[ "tacos", "Winston", "-", "Salem", "NC" ]

[ 0, 9, 10, 10, 10 ]

[ "Best", "fine", "dining", "in", "Bakersfield", ",", "CA" ]

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

[ "vegan", "food", "Germantown", ",", "Maryland" ]

[ 0, 0, 9, 10, 10 ]

[ "pizza", "Denton", "TX" ]

[ 0, 9, 10 ]

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

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

[ "fried", "rice", "Brightshade" ]

[ 0, 0, 0 ]

[ "Eastvale", ",", "CA", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

[ "Where", "to", "find", "the", "best", "ratatouille", "in", "Tucson", ",", "Arizona", "?" ]

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

[ "Does", "Eli", "Simmons", "have", "a", "speech", "in", "Oklahoma", "City", ",", "OK", "?" ]

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

[ "Amberwyn", "yakitori" ]

[ 0, 0 ]

[ "best", "statue", "in", "port", "saint", "lucie" ]

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[ "top", "-", "rated", "roof", "repair", "Fayetteville", ",", "Arkansas" ]

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

[ "upcoming", "events", "in", "ile", "this", "weekend" ]

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

[ "brunch", "Tamarac", "FL" ]

[ 0, 9, 10 ]

[ "steak", "Springfield", ",", "OR" ]

[ 0, 9, 10, 10 ]

[ "Where", "to", "eat", "pierogi", "in", "Los", "Angeles", ",", "CA", "?" ]

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

[ "locations", "of", "Milwaukee", "Industrial", "Solutions", "in", "RI" ]

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

[ "Pontiac", ",", "Michigan", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "upcoming", "events", "in", "mqi", "this", "weekend" ]

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

[ "roti", "phx" ]

[ 0, 5 ]

[ "ramen", "places", "in", "jbs" ]

[ 0, 0, 0, 5 ]

[ "does", "American", "Airlines", "offer", "roof", "repair", "in", "Oakland", ",", "CA", "?" ]

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

[ "brownies", "Bladewind" ]

[ 0, 0 ]

[ "Where", "to", "find", "the", "best", "souvlaki", "in", "Saint", "Charles", "MO", "?" ]

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

[ "seafood", "Springfield", ",", "Massachusetts" ]

[ 0, 9, 10, 10 ]

[ "nearest", "branch", "of", "Raleigh", "-", "Durham", "International", "Airport", "in", "Lexington", "-", "Fayett" ]

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

[ "Minnetonka", "Mills", "MN", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "Thornvale", "salads" ]

[ 0, 0 ]

[ "best", "rated", "Target", "Corporation", "in", "Las", "Vegas", ",", "NV" ]

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

[ "home", "services", "Rio", "Ranch" ]

[ 0, 0, 5, 6 ]

[ "find", "hiking", "trails", "in", "Daly", "City", "CA" ]

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

[ "does", "McKinney", "Electronics", "Corporation", "provide", "home", "repair", "services", "in", "bellflower", "?" ]

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

[ "movie", "theaters", "Chicago", "Lawn", "IL" ]

[ 0, 0, 9, 10, 10 ]

[ "Stanford", "University", "in", "Vallejo", ",", "CA" ]

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

[ "find", "top", "-", "rated", "hospitals", "in", "Tulsa", ",", "Oklahoma" ]

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

[ "How", "to", "do", "business", "in", "Argentina", "?" ]

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

[ "soups", "Sandy", "Springs", ",", "GA" ]

[ 0, 9, 10, 10, 10 ]

[ "How", "to", "find", "luxury", "family", "-", "friendly", "restaurants", "reservations" ]

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

[ "home", "improvement", "contractors", "near", "Norwalk", ",", "CT" ]

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

[ "locations", "of", "Spokane", "Transit", "Authority", "in", "Kentucky" ]

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

[ "Peoria", "AZ", "ice", "cream" ]

[ 9, 10, 0, 0 ]

[ "brunch", "near", "me", "Tacoma" ]

[ 0, 0, 0, 5 ]

[ "sandwiches", "Burlington", ",", "NC" ]

[ 0, 9, 10, 10 ]

[ "Affordable", "fast", "food", "chains", "in", "Minneapolis", ",", "MN" ]

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

[ "contact", "Cedar", "Rapids", "Opera", "Theatre", "in", "Saint", "Cloud" ]

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

[ "doctor", "chi" ]

[ 0, 5 ]

[ "parks", "Bend", "OR" ]

[ 0, 9, 10 ]

[ "fettuccine", "alfredo", "in", "Whispercrown" ]

[ 0, 0, 0, 0 ]

[ "Columbus", "GA", "movie", "theaters" ]

[ 9, 10, 0, 0 ]

[ "Where", "to", "eat", "dumplings", "in", "Chesapeake", "VA", "?" ]

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

[ "cakes", "Dallas", ",", "TX" ]

[ 0, 9, 10, 10 ]

[ "hospital", "Canton", ",", "OH" ]

[ 0, 9, 10, 10 ]

[ "best", "cafes", "in", "Carson", ",", "California" ]

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

[ "Johns", "Creek", ",", "GA", "hiking", "trails" ]

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[ "San", "Rafae", "temperature" ]

[ 5, 6, 0 ]

[ "What", "awards", "has", "Damian", "Lillard", "won", "?" ]

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

[ "sandwiches", "Pontiac", ",", "MI" ]

[ 0, 9, 10, 10 ]

[ "What", "are", "the", "most", "famous", "pizzerias", "in", "Houston", "TX", "?" ]

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

[ "physio", "therapy", "Chattanooga", ",", "TN" ]

[ 0, 0, 9, 10, 10 ]

[ "Xanadu", "Grove", "burgers" ]

[ 0, 0, 0 ]

[ "apple", "pie", "in", "HW" ]

[ 0, 0, 0, 0 ]

[ "kebabs", "ZN" ]

[ 0, 0 ]

[ "roof", "repair", "West", "Raleig" ]

[ 0, 0, 5, 6 ]

[ "hospital", "lincoln", "park" ]

[ 0, 5, 6 ]

[ "best", "church", "in", "Pico", "Rivera" ]

[ 0, 0, 0, 5, 6 ]

[ "Where", "to", "eat", "miso", "soup", "in", "Santa", "Rosa", ",", "CA", "?" ]

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

[ "cakes", "Cheyenne", ",", "WY" ]

[ 0, 9, 10, 10 ]

[ "What", "are", "the", "most", "famous", "Japanese", "restaurants", "in", "Downey", ",", "California", "?" ]

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

[ "teriyaki", "RP" ]

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[ "nurse", "boston" ]

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[ "upcoming", "events", "in", "Clarksville", "this", "weekend" ]

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

[ "burgers", "Livermore", "CA" ]

[ 0, 9, 10 ]

[ "real", "estate", "agents", "ftw" ]

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[ "Great", "Falls", ",", "Montana", "steak" ]

[ 9, 10, 10, 10, 0 ]

[ "restaurants", "near", "me", "chesapeake" ]

[ 0, 0, 0, 5 ]