Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 247

[ "Best", "pizzerias", "in", "West", "Raleigh", ",", "NC" ]

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

[ "Overland", "Park", ",", "Kansas", "fried", "chicken" ]

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

[ "physio", "therapy", "Tucson", ",", "AZ" ]

[ 0, 0, 9, 10, 10 ]

[ "Alexandria", ",", "VA", "salads" ]

[ 9, 10, 10, 0 ]

[ "naan", "Coney", "Island" ]

[ 0, 5, 6 ]

[ "Current", "political", "situation", "in", "India" ]

[ 0, 0, 0, 0, 0 ]

[ "strudel", "Crystal", "City" ]

[ 0, 0, 0 ]

[ "Louisiana", "yakitori" ]

[ 7, 0 ]

[ "who", "are", "the", "top", "doctors", "in", "Dallas", ",", "Texas", "?" ]

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

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

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Apple", "Inc", ".", "in", "MD", "?" ]

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

[ "best", "cafes", "in", "Tempe", "Junction" ]

[ 0, 0, 0, 5, 6 ]

[ "Where", "to", "find", "the", "best", "sichuan", "chicken", "in", "Baton", "Rouge", ",", "LA", "?" ]

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

[ "Middletown", "temperature" ]

[ 5, 0 ]

[ "who", "are", "the", "top", "doctors", "in", "Austin", ",", "TX", "?" ]

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

[ "burgers", "Springfield", ",", "Oregon" ]

[ 0, 9, 10, 10 ]

[ "Novi", "MI", "hiking", "trails" ]

[ 9, 10, 0, 0 ]

[ "Greeley", ",", "Colorado", "ramen" ]

[ 9, 10, 10, 0 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Albuquerque", "International", "Balloon", "Fiesta", "in", "Oregon", "?" ]

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

[ "top", "yelp", "reviews", "Joliet" ]

[ 0, 0, 0, 5 ]

[ "Tulsa", "burgers" ]

[ 5, 0 ]

[ "best", "cafes", "in", "Naperville", ",", "IL" ]

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

[ "Palm", "Beach", "Gardens", "FL", "vegan", "food" ]

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

[ "Where", "to", "eat", "souvlaki", "in", "Phoenix", "AZ", "?" ]

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

[ "does", "Kamala", "Harris", "live", "in", "Brooklyn" ]

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

[ "breakfast", "food", "Everett", ",", "Washington" ]

[ 0, 0, 9, 10, 10 ]

[ "local", "electricians", "in", "East", "Harlem", "NY" ]

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

[ "pad", "thai", "in", "HD" ]

[ 0, 0, 0, 0 ]

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

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

[ "pizza", "Framingham", "Center" ]

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[ "Can", "I", "meet", "Katy", "Perry", "in", "Little", "Rock", ",", "AR", "?" ]

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[ "nearest", "branch", "of", "Ford", "Motor", "Company", "in", "Council", "Bluffs" ]

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[ "hospital", "Sunrise", "FL" ]

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[ "Best", "steakhouses", "in", "Colorado", "Springs", ",", "CO" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Oracle", "Corporation", "in", "Maine", "?" ]

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

[ "best", "restaurants", "in", "Rancho", "Cucamonga", ",", "California" ]

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

[ "pasta", "Eagan", ",", "MN" ]

[ 0, 9, 10, 10 ]

[ "fried", "chicken", "Queens", "NY" ]

[ 0, 0, 9, 10 ]

[ "movie", "theaters", "Hoover", "AL" ]

[ 0, 0, 9, 10 ]

[ "home", "services", "Scottsdale" ]

[ 0, 0, 5 ]

[ "apple", "pie", "in", "zua" ]

[ 0, 0, 0, 5 ]

[ "noodles", "Arcadia", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "pharmacies", "sts" ]

[ 0, 5 ]

[ "current", "weather", "mia" ]

[ 0, 0, 5 ]

[ "steak", "in", "Brightveil" ]

[ 0, 0, 0 ]

[ "brunch", "Bakersfield", ",", "California" ]

[ 0, 9, 10, 10 ]

[ "San", "Diego", ",", "CA", "best", "cafes" ]

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

[ "top", "hotels", "in", "Warner", "Robins", ",", "GA" ]

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

[ "best", "restaurants", "Castro", "Valley" ]

[ 0, 0, 5, 6 ]

[ "What", "are", "the", "most", "famous", "fine", "dining", "in", "Tampa", ",", "FL", "?" ]

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

[ "emergency", "services", "Newport", "News", "VA" ]

[ 0, 0, 9, 10, 10 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Harvard", "University", "in", "IN", "?" ]

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

[ "Can", "I", "meet", "Hunter", "Price", "in", "Pico", "Rivera", ",", "CA", "?" ]

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

[ "Delta", "Airlines", "in", "Weston", ",", "FL" ]

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[ "weather", "lit" ]

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[ "home", "improvement", "contractors", "near", "Oak", "Lawn", "IL" ]

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[ "contact", "Charlotte", "Digital", "Marketing", "in", "hialeah" ]

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[ "Umbra", "Vale", "lasagna" ]

[ 0, 0, 0 ]

[ "Top", "destinations", "for", "vacation", "packages", "in", "San", "Bernardino", ",", "California" ]

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

[ "hospital", "Great", "Falls", ",", "Montana" ]

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[ "ice", "cream", "Denver", ",", "Colorado" ]

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[ "locations", "of", "San", "Antonio", "Spurs", "Basketball", "Club", "in", "WA" ]

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[ "Shimmerwood", "tempura" ]

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[ "Mesa", "AZ", "hamburgers" ]

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[ "Philadelphia", "Eagles", "Football", "Club", "in", "Greensboro", ",", "North", "Carolina" ]

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

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

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[ "best", "rated", "Indianapolis", "Colts", "Football", "Team", "in", "Lakewood", "WA" ]

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[ "Billings", ",", "Montana", "vegan", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "best", "restaurants", "the", "woodlands" ]

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[ "hospital", "Bloomington" ]

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[ "top", "-", "rated", "roof", "repair", "Birmingham", "AL" ]

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[ "Frostbluff", "burgers" ]

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[ "miso", "soup", "Brookfield" ]

[ 0, 0, 0 ]

[ "sushi", "bartlett" ]

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[ "Where", "to", "eat", "strudel", "in", "New", "York", "City", ",", "New", "York", "?" ]

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

[ "Does", "Audrey", "Hepburn", "have", "a", "speech", "in", "Phoenix", "AZ", "?" ]

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[ "Keanu", "Reeves", "age" ]

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[ "poutine", "bartlett" ]

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[ "Top", "destinations", "for", "luxury", "travel", "in", "San", "Francisco", ",", "CA" ]

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

[ "kimchi", "Larchfield" ]

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[ "home", "maintenance", "services", "in", "Elyria", ",", "Ohio" ]

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[ "parks", "in", "Grand", "Rapid" ]

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[ "hospital", "Florence", "-", "Graham", ",", "CA" ]

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[ "pharmacies", "in", "KY" ]

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[ "North", "Stamford", ",", "CT", "pizza" ]

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[ "who", "are", "the", "top", "doctors", "in", "Abilene", "TX", "?" ]

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[ "hummus", "Gildan" ]

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[ "does", "Under", "Armour", "operate", "in", "Denver", ",", "CO", "?" ]

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

[ "contact", "Greenville", "Technical", "College", "in", "Fayetteville" ]

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

[ "sushi", "chi" ]

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[ "Top", "-", "rated", "sushi", "bars", "in", "Mission", "Viejo", ",", "California" ]

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[ "Omaha", "NE", "seafood" ]

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[ "home", "maintenance", "services", "in", "Albuquerque", ",", "New", "Mexico" ]

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

[ "does", "Deloitte", "operate", "in", "Columbus", ",", "GA", "?" ]

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

[ "weather", "saint", "louis" ]

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[ "Top", "-", "rated", "Japanese", "restaurants", "in", "Skokie", ",", "IL" ]

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[ "pharmacies", "town", "'", "n", "'", "country" ]

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[ "Moreno", "Valley", ",", "CA", "burgers" ]

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[ "find", "hiking", "trails", "in", "San", "Diego", ",", "California" ]

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

[ "What", "are", "the", "most", "famous", "Italian", "restaurants", "in", "Reno", ",", "NV", "?" ]

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