Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 235

[ "LD", "sichuan", "chicken" ]

[ 0, 0, 0 ]

[ "sandwiches", "Carrollton", ",", "Texas" ]

[ 0, 9, 10, 10 ]

[ "does", "Detroit", "Manufacturing", "Hub", "provide", "home", "repair", "services", "in", "chi", "?" ]

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[ "doctor", "Southfield", ",", "Michigan" ]

[ 0, 9, 10, 10 ]

[ "Pawtucket", ",", "Rhode", "Island", "movie", "theaters" ]

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

[ "upcoming", "events", "in", "San", "Rafael", "this", "weekend" ]

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

[ "does", "Khloé", "Kardashian", "live", "in", "Warren" ]

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[ "Baltimore", "Ravens", "Football", "Team", "in", "Sioux", "Falls", ",", "SD" ]

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

[ "Brownsville", ",", "NY", "sushi" ]

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[ "emergency", "services", "Lake", "Forest" ]

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[ "home", "maintenance", "services", "in", "Pasadena", "TX" ]

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[ "famous", "beach" ]

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[ "nearest", "branch", "of", "Boston", "Tech", "Solutions", "in", "brandon" ]

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[ "hospital", "Montgomery" ]

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[ "Borough", "Park", "NY", "brunch" ]

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[ "Cultural", "traditions", "in", "Brazil" ]

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[ "cheesecake", "Ironshade" ]

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[ "Best", "deals", "on", "car", "rentals", "in", "Bloomington", "IL" ]

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[ "Where", "to", "eat", "risotto", "in", "Edison", ",", "NJ", "?" ]

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[ "North", "Stamford", "CT", "best", "cafes" ]

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[ "salads", "Huntington", "Beach", ",", "CA" ]

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[ "Colorado", "Springs", "Health", "Institute", "reviews", "in", "NM" ]

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[ "what", "'", "s", "the", "weather", "forecast", "for", "Hialeah", "?" ]

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[ "Missouri", "City", "laksa" ]

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[ "best", "restaurants", "in", "Ridgewood", "NY" ]

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[ "parks", "San", "Ramon", ",", "California" ]

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[ "parks", "in", "Spring", "Hill", "FL" ]

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[ "Brooklyn", ",", "NY", "best", "cafes" ]

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[ "What", "are", "the", "most", "popular", "naan", "trends", "?" ]

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[ "tikka", "masala", "in", "Amberwyn" ]

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[ "roof", "repair", "Queens" ]

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[ "top", "hotels", "in", "Near", "North", "Side", ",", "Illinois" ]

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[ "what", "'", "s", "the", "weather", "forecast", "for", "hwd", "?" ]

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[ "Top", "destinations", "for", "vacation", "packages", "in", "Sunrise", "Manor", "NV" ]

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[ "Top", "-", "rated", "family", "-", "friendly", "restaurants", "in", "Philadelphia", "PA" ]

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[ "Longview", "TX", "vegan", "food" ]

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[ "korean", "barbecue", "in", "Pinemark" ]

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[ 0, 9, 10, 10 ]

[ "barbecue", "Tidesreach" ]

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[ "hospital", "Henderso" ]

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[ "Chesapeake", "Energy", "Corporation", "in", "South", "Boston", ",", "MA" ]

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

[ "Irondequoit", ",", "New", "York", "movie", "theaters" ]

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[ "Owensboro", ",", "KY", "hiking", "trails" ]

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[ "burgers", "South", "Suffolk", "VA" ]

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[ "Mae", "Jemison", "diet" ]

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[ "florist", "Carson", "City", ",", "NV" ]

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[ "can", "I", "book", "a", "doctor", "appointment", "at", "New", "York", "University", "in", "New", "Jersey", "?" ]

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[ "crumblish" ]

[ 0 ]

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[ "emergency", "services", "charleston" ]

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[ "vegan", "food", "Milford", ",", "CT" ]

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[ "breakfast", "near", "me", "Lexingto" ]

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[ "can", "I", "book", "a", "doctor", "appointment", "at", "Flint", "Institute", "of", "Arts", "in", "Florida", "?" ]

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[ "is", "Kylian", "Mbappé", "married", "?" ]

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[ "local", "electricians", "in", "Palm", "Harbor", ",", "Florida" ]

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[ "Universal", "Music", "Group", "in", "Los", "Angeles", ",", "CA" ]

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[ "Johns", "Hopkins", "University", "reviews", "in", "Wyoming" ]

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[ "does", "Johns", "Hopkins", "University", "offer", "roof", "repair", "in", "Waukegan", "IL", "?" ]

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[ "Melbourne", "FL", "fried", "chicken" ]

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

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

[ "fondue", "Silverwatch" ]

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