Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 236

[ "pizza", "bradenton" ]

[ 0, 5 ]

[ "weather", "The", "Hammocks", ",", "Florida" ]

[ 0, 9, 10, 10, 10 ]

[ "dim", "sum", "in", "Citrus", "Heights" ]

[ 0, 0, 0, 5, 6 ]

[ "Can", "I", "meet", "Novak", "Djokovic", "in", "Sacramento", ",", "California", "?" ]

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

[ "weather", "forecast", "Smyrna" ]

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[ "soups", "Tempe", "Junction", ",", "Arizona" ]

[ 0, 9, 10, 10, 10 ]

[ "tacos", "in", "Iowa" ]

[ 0, 0, 7 ]

[ "steak", "Pico", "Rivera", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "top", "-", "rated", "roof", "repair", "Arvada", ",", "Colorado" ]

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

[ "physio", "therapy", "fargo" ]

[ 0, 0, 5 ]

[ "Longview", ",", "Texas", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "sandwiches", "Toledo", ",", "Ohio" ]

[ 0, 9, 10, 10 ]

[ "plumber", "Arvada", "CO" ]

[ 0, 9, 10 ]

[ "top", "-", "rated", "roof", "repair", "Huntsville", ",", "Alabama" ]

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

[ "pizza", "Carlsbad", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "screenin", "in", "albany" ]

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[ "Walnut", "Creek", ",", "CA", "ramen" ]

[ 9, 10, 10, 10, 0 ]

[ "home", "services", "Iowa", "City" ]

[ 0, 0, 5, 6 ]

[ "plumber", "Livermore" ]

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[ "What", "is", "the", "most", "popular", "frozen", "yogurt", "in", "the", "USA", "?" ]

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[ "Mobile", ",", "Alabama", "hiking", "trails" ]

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[ "hours", "of", "Sacramento", "Community", "Center", "in", "South", "Boston" ]

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[ "who", "are", "the", "top", "doctors", "in", "Fort", "Smith", ",", "Arkansas", "?" ]

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[ "does", "Fremont", "High", "School", "operate", "in", "San", "Antonio", ",", "TX", "?" ]

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[ "frozen", "yogurt", "Windswept" ]

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[ "pizza", "Torrance", ",", "California" ]

[ 0, 9, 10, 10 ]

[ "frozen", "yogurt", "Farmington", "Hills" ]

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[ "Can", "I", "meet", "Hannah", "Lewis", "in", "New", "Haven", ",", "CT", "?" ]

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[ "Naperville", "North", "High", "School", "in", "Austin", "TX" ]

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[ "real", "estate", "agents", "La", "Crosse" ]

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[ "croquettes", "in", "Ravenmark" ]

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[ "does", "Plano", "Technology", "Solutions", "provide", "home", "repair", "services", "in", "South", "Boston", "?" ]

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[ "best", "arena", "in", "Palm", "Harbor" ]

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[ "movie", "theaters", "Boulder", ",", "CO" ]

[ 0, 0, 9, 10, 10 ]

[ "Can", "I", "meet", "Luke", "Torres", "in", "Bakersfield", ",", "CA", "?" ]

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

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

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[ "burgers", "Abilene", ",", "TX" ]

[ 0, 9, 10, 10 ]

[ "electrician", "Lexington", "-", "Fayett" ]

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[ "ramen", "Union", "City" ]

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[ "hamburgers", "New", "South", "Memphis", ",", "TN" ]

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

[ "does", "Orlando", "City", "Soccer", "Club", "operate", "in", "Grand", "Rapids", ",", "MI", "?" ]

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

[ "nearest", "branch", "of", "Dallas", "Medical", "Center", "in", "Los", "Angeles" ]

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

[ "restaurants", "near", "me", "Costa", "Mesa" ]

[ 0, 0, 0, 5, 6 ]

[ "home", "improvement", "contractors", "near", "Nampa", ",", "ID" ]

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

[ "salads", "Stonecrest", "GA" ]

[ 0, 9, 10 ]

[ "Popular", "dim", "sum", "places", "in", "Aurora", ",", "CO" ]

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

[ "vegan", "food", "San", "Marcos", ",", "TX" ]

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

[ "Best", "deals", "on", "ski", "trips", "in", "Vacaville", ",", "CA" ]

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[ "lawyers", "in", "Cicero", ",", "IL" ]

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[ "galbi", "DC" ]

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[ "Affordable", "barbecue", "joints", "in", "Huntington", "Beach", ",", "CA" ]

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[ "Best", "Mexican", "restaurants", "in", "San", "Diego", ",", "California" ]

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[ "rall", "near", "me" ]

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[ "Yellowcove", "kebabs" ]

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[ "Davie", ",", "Florida", "brunch" ]

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[ "lawyers", "in", "Roswell", ",", "GA" ]

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[ "Top", "dim", "sum", "restaurants", "in", "Davie", ",", "FL", "this", "weekend" ]

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[ "noodles", "West", "Valley", "City", "UT" ]

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[ "Centreville", "cheesecake" ]

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[ "Where", "to", "find", "the", "best", "fettuccine", "alfredo", "in", "Garden", "Grove", ",", "CA", "?" ]

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[ "coffee", "near", "me", "Spokane" ]

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

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[ "Santa", "Cruz", ",", "California", "brunch" ]

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[ "milkshakes", "near", "me", "Orland" ]

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[ "nearest", "branch", "of", "Volkswagen", "Group", "in", "Valencia" ]

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[ "Fort", "Worth", "TX", "sushi" ]

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[ "Tracy", ",", "California", "hamburgers" ]

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[ "User", "reviews", "of", "tablet" ]

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[ "pharmacies", "tinseltown" ]

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[ "top", "-", "rated", "movie", "theaters", "in", "Burnsville", ",", "MN" ]

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[ "Affordable", "Japanese", "restaurants", "in", "Bismarck", ",", "ND" ]

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[ "Inkwell", "soups" ]

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[ "pizza", "Missouri", "City" ]

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[ "noodles", "in", "HW" ]

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[ "Torrance", "CA", "soups" ]

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[ "emergency", "services", "West", "Covina", ",", "CA" ]

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[ "movie", "theaters", "Santa", "Ros" ]

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[ "Best", "deals", "on", "road", "trips", "in", "Fall", "River", "MA" ]

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[ "Does", "Blake", "Turner", "have", "a", "speech", "in", "Saint", "Paul", ",", "MN", "?" ]

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[ "Muncie", ",", "IN", "cakes" ]

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[ "does", "Steve", "Wozniak", "live", "in", "Sunnyval" ]

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[ "Denton", ",", "Texas", "burgers" ]

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[ "does", "Marilyn", "Monroe", "live", "in", "Downey" ]

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[ "top", "hotels", "in", "Ironville", ",", "KY" ]

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[ "Thornton", ",", "CO", "pharmacies" ]

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[ "emergency", "services", "Baldwin", "Park", ",", "CA" ]

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[ "best", "pizza", "near", "Wichita", "Falls" ]

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[ "movie", "theaters", "Cheektowaga", ",", "NY" ]

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[ "Where", "to", "find", "the", "best", "tandoori", "chicken", "in", "Olympia", ",", "Washington", "?" ]

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[ "hiking", "trails", "dxr" ]

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[ "breakfast", "near", "me", "fayetteville" ]

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[ "Erie", "PA", "ice", "cream" ]

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[ "Clay", ",", "NY", "sandwiches" ]

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[ "ramen", "Miami", "Beach", ",", "FL" ]

[ 0, 9, 10, 10, 10 ]

[ "Porterville", ",", "California", "noodles" ]

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