Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 239

[ "Henderson", "Engineering", "reviews", "in", "Oregon" ]

[ 3, 4, 0, 0, 7 ]

[ "ceviche", "in", "Maine" ]

[ 0, 0, 7 ]

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[ "home", "services", "carrollton" ]

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[ "Top", "breakfast", "food", "restaurants", "in", "Redmond", ",", "WA", "this", "weekend" ]

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[ "Affordable", "steakhouses", "in", "Eau", "Claire", ",", "WI" ]

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

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

[ "lawyers", "in", "Louisville" ]

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[ "vegan", "food", "Greenburgh", ",", "NY" ]

[ 0, 0, 9, 10, 10 ]

[ "contact", "Adidas", "in", "High", "Point" ]

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[ "does", "Houston", "General", "Hospital", "operate", "in", "Tustin", "CA", "?" ]

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[ "Popular", "gyros", "places", "in", "Woodland", ",", "California" ]

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[ "tandoori", "chicken", "in", "QN" ]

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[ "steak", "Ankeny", "IA" ]

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[ "Top", "french", "fries", "restaurants", "in", "West", "Hollywood", ",", "FL", "this", "weekend" ]

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[ "locations", "of", "Newark", "Beth", "Israel", "Medical", "Center", "in", "SC" ]

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[ "river", "directions" ]

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[ "top", "yelp", "reviews", "mcallen" ]

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[ "Nevada", "banh", "mi" ]

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[ "Peoria", ",", "Arizona", "hiking", "trails" ]

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[ "Santa", "Monica", "CA", "pizza" ]

[ 9, 10, 10, 0 ]

[ "gnocchi", "in", "FV" ]

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[ "Where", "to", "eat", "schnitzel", "in", "New", "Britain", "CT", "?" ]

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

[ "Is", "Elton", "John", "available", "for", "an", "appointment", "in", "New", "York", "Cit", "?" ]

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[ "Lake", "Elsinore", ",", "California", "hamburgers" ]

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[ "biryani", "JT" ]

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[ "physio", "therapy", "Santa", "Cruz" ]

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[ "Best", "deals", "on", "luxury", "travel", "in", "The", "Bronx", ",", "NY" ]

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[ "nearest", "branch", "of", "Mobile", "Public", "Library", "in", "San", "Pedr" ]

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[ "contact", "Naperville", "North", "High", "School", "in", "Philadelphia" ]

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[ "Can", "I", "meet", "Tom", "Hanks", "in", "St", ".", "Louis", ",", "MO", "?" ]

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

[ "hiking", "trails", "Victorville" ]

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[ "gnocchi", "in", "Ravencrest" ]

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[ "brunch", "Overland", "Park", ",", "KS" ]

[ 0, 9, 10, 10, 10 ]

[ "donuts", "in", "SC" ]

[ 0, 0, 7 ]

[ "best", "sushi", "in", "Lancaster", "CA" ]

[ 0, 0, 0, 9, 10 ]

[ "find", "hiking", "trails", "in", "East", "Hampton", ",", "Virginia" ]

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[ "Bluffstone", "laksa" ]

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[ "home", "services", "athens" ]

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[ "Popular", "paneer", "places", "in", "Millcreek", ",", "UT" ]

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[ "best", "cafes", "Honolulu", "HI" ]

[ 0, 0, 9, 10 ]

[ "best", "restaurants", "Bowling", "Green" ]

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[ "home", "services", "chapel", "hill" ]

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[ "ramen", "buena", "park" ]

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[ "Apple", "Valley", ",", "Minnesota", "sushi" ]

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[ "ramen", "Jersey", "City", "NJ" ]

[ 0, 9, 10, 10 ]

[ "nearest", "branch", "of", "Albuquerque", "International", "Balloon", "Fiesta", "in", "Huntington", "Beach" ]

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[ "home", "maintenance", "services", "in", "Borough", "Park", ",", "NY" ]

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[ "does", "Memphis", "Grizzlies", "Basketball", "Team", "offer", "roof", "repair", "in", "Jacksonville", ",", "FL", "?" ]

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[ "hours", "of", "Target", "Corporation", "in", "Carol", "City" ]

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[ "Can", "I", "meet", "Matthew", "Johnson", "in", "Cedar", "Park", ",", "TX", "?" ]

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[ "Top", "destinations", "for", "car", "rentals", "in", "San", "Leandro", ",", "CA" ]

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[ "does", "Daniel", "Radcliffe", "live", "in", "Orlando" ]

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[ "Top", "destinations", "for", "all", "-", "inclusive", "resorts", "in", "East", "Flatbush", ",", "NY" ]

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[ "best", "pizza", "near", "Burbank" ]

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[ "Surprise", ",", "AZ", "temperature" ]

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[ "Pensacola", "Naval", "Air", "Station", "in", "Baltimore", ",", "MD" ]

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

[ "doctor", "Rocklin", ",", "CA" ]

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[ "desserts", "Greenburgh", ",", "NY" ]

[ 0, 9, 10, 10 ]

[ "Does", "Elton", "John", "have", "a", "speech", "in", "Houston", ",", "TX", "?" ]

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

[ "nearest", "branch", "of", "Wall", "Street", "Journal", "in", "tul" ]

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[ "electrician", "avl" ]

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[ "Topeka", "KS", "soups" ]

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[ "best", "observato", "in", "ny" ]

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

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[ "hospital", "Cranston", ",", "Rhode", "Island" ]

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

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[ "hospital", "Tulare" ]

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[ "gyms", "in", "yonkers" ]

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[ "florist", "el", "paso" ]

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[ "Tucson", "AZ", "parks" ]

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[ "Can", "I", "meet", "Henry", "Martinez", "in", "Eden", "Prairie", ",", "MN", "?" ]

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

[ "LW", "ice", "cream" ]

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[ "find", "top", "-", "rated", "hospitals", "in", "Chicago", "Lawn", ",", "Illinois" ]

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[ "Can", "I", "meet", "Madonna", "in", "Springfield", "MO", "?" ]

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[ "ramen", "San", "Jose", ",", "CA" ]

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[ "noodles", "XY" ]

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[ "Metairie", "Terrace", ",", "Louisiana", "sandwiches" ]

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

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[ "NH", "burgers" ]

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[ "home", "improvement", "contractors", "near", "Fayetteville", ",", "NC" ]

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[ "pizza", "Corpus", "Christi" ]

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[ "find", "top", "-", "rated", "hospitals", "in", "Santa", "Monica", "CA" ]

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

[ "The", "Bronx", "NY", "fried", "chicken" ]

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[ "doctor", "Elmhurst" ]

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[ "Conroe", "TX", "brunch" ]

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[ "car", "repair", "canarsie" ]

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[ "chimichurri", "steak", "in", "Violet", "Sands" ]

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[ "home", "improvement", "Baton", "Rouge" ]

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[ "hours", "of", "Albuquerque", "International", "Balloon", "Fiesta", "in", "new", "orleans", "louisiana" ]

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[ "plumber", "Janesville", ",", "WI" ]

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[ "contact", "Chandler", "Regional", "Medical", "Center", "in", "Queens" ]

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[ "pharmacies", "duke", "city" ]

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[ "hospital", "Yuma" ]

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[ "Gresham", ",", "OR", "tacos" ]

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