Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 266

[ "breakfast", "food", "Pittsburg", ",", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "best", "rated", "Bank", "of", "America", "in", "Escondido", "CA" ]

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

[ "Affordable", "buffet", "restaurants", "in", "South", "Boston", ",", "Massachusetts" ]

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

[ "restaurants", "near", "South", "Hill", "with", "good", "reviews" ]

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

[ "restaurants", "near", "me", "Boston" ]

[ 0, 0, 0, 5 ]

[ "contact", "Columbia", "University", "Medical", "Center", "in", "Vista" ]

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

[ "Palm", "Desert", ",", "California", "cakes" ]

[ 9, 10, 10, 10, 0 ]

[ "Popular", "pierogi", "places", "in", "The", "Bronx", ",", "NY" ]

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

[ "salads", "Henderson", "NV" ]

[ 0, 9, 10 ]

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

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

[ "burgers", "Milpitas", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "cha", "fettuccine", "alfredo" ]

[ 5, 0, 0 ]

[ "Albany", ",", "OR", "temperature" ]

[ 9, 10, 10, 0 ]

[ "cakes", "in", "QB" ]

[ 0, 0, 0 ]

[ "tikka", "masala", "HD" ]

[ 0, 0, 0 ]

[ "Waldorf", "MD", "pasta" ]

[ 9, 10, 0 ]

[ "car", "repair", "San", "Francisco" ]

[ 0, 0, 5, 6 ]

[ "burgers", "Caldwell", "ID" ]

[ 0, 9, 10 ]

[ "Is", "Brenda", "Morgan", "available", "for", "an", "appointment", "in", "Orem", "?" ]

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

[ "pizza", "South", "Gate", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "Is", "Steven", "Nelson", "available", "for", "an", "appointment", "in", "Newport", "Beach", "?" ]

[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0 ]

[ "find", "top", "-", "rated", "hospitals", "in", "Bethesda", ",", "MD" ]

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

[ "Cathedral", "City", ",", "CA", "fried", "chicken" ]

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

[ "vegan", "food", "Diamond", "Bar", ",", "California" ]

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

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

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

[ "Columbia", ",", "MD", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

[ "Cheektowaga", "NY", "pizza" ]

[ 9, 10, 0 ]

[ "events", "in", "Belmont", "Cragi", "this", "weekend" ]

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

[ "chimichurri", "steak", "in", "Copperfield" ]

[ 0, 0, 0, 0 ]

[ "nearest", "branch", "of", "Amazon", ".", "com", "in", "brooklyn" ]

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

[ "hospital", "Hillsbor" ]

[ 0, 5 ]

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

[ 0, 0, 5, 0, 0 ]

[ "Reston", "VA", "vegan", "food" ]

[ 9, 10, 0, 0 ]

[ "tourn", "in", "Phoeni" ]

[ 0, 0, 5 ]

[ "sandwiches", "Turlock", "CA" ]

[ 0, 9, 10 ]

[ "nearest", "branch", "of", "Minneapolis", "Institute", "of", "Art", "in", "Carson", "City" ]

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

[ "emergency", "services", "apv" ]

[ 0, 0, 5 ]

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

[ 0, 9, 10, 10 ]

[ "Can", "I", "meet", "Oprah", "Winfrey", "in", "Kings", "Bridge", ",", "NY", "?" ]

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

[ "does", "Flint", "Institute", "of", "Arts", "operate", "in", "Charlotte", ",", "NC", "?" ]

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

[ "weather", "Port", "Charlotte" ]

[ 0, 5, 6 ]

[ "ramen", "places", "in", "Arlington", "Heights" ]

[ 0, 0, 0, 5, 6 ]

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

[ 0, 0, 0, 5, 6 ]

[ "weather", "forecast", "Caldwel" ]

[ 0, 0, 5 ]

[ "Popular", "goulash", "places", "in", "Abington", ",", "PA" ]

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

[ "Salt", "Lake", "City", "Analytics", "reviews", "in", "FL" ]

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

[ "who", "are", "the", "top", "doctors", "in", "Goodyear", "AZ", "?" ]

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

[ "ZS", "noodles" ]

[ 0, 0 ]

[ "hot", "dogs", "in", "Elk", "Grove" ]

[ 0, 0, 0, 5, 6 ]

[ "Crystal", "City", "biryani" ]

[ 0, 0, 0 ]

[ "get", "-", "togethe", "in", "Chandler" ]

[ 0, 0, 0, 0, 5 ]

[ "Whispercrown", "sushi" ]

[ 0, 0 ]

[ "Harrisonburg", "VA", "pasta" ]

[ 9, 10, 0 ]

[ "empanadas", "Kingshaven" ]

[ 0, 0 ]

[ "Popular", "falafel", "places", "in", "Peoria", ",", "AZ" ]

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

[ "best", "pizza", "near", "Detroit" ]

[ 0, 0, 0, 5 ]

[ "meatballs", "in", "Bluewater" ]

[ 0, 0, 0 ]

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

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

[ "ramen", "places", "in", "tacoma" ]

[ 0, 0, 0, 5 ]

[ "does", "Columbus", "Financial", "Advisors", "provide", "home", "repair", "services", "in", "Normal", "?" ]

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

[ "lawyers", "in", "La", "Habr" ]

[ 0, 0, 5, 6 ]

[ "How", "to", "get", "discounts", "on", "road", "trips", "bookings", "?", "Where", "to", "buy", "KitchenAid", "mixer", "online", "?" ]

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

[ "UR", "dumplings" ]

[ 0, 0 ]

[ "Can", "I", "meet", "Dwayne", "Johnson", "in", "Modesto", "CA", "?" ]

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

[ "vegan", "food", "RX" ]

[ 0, 0, 0 ]

[ "plumbing", "services", "in", "Quincy", ",", "Massachusetts" ]

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

[ "does", "Mobile", "Public", "Library", "offer", "roof", "repair", "in", "Boulder", ",", "CO", "?" ]

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

[ "Best", "deals", "on", "car", "rentals", "in", "Cedar", "Rapids", "IA" ]

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

[ "Cedar", "Rapids", ",", "IA", "ice", "cream" ]

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

[ "does", "Milwaukee", "Industrial", "Solutions", "operate", "in", "Detroit", ",", "MI", "?" ]

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

[ "Gardena", ",", "California", "noodles" ]

[ 9, 10, 10, 0 ]

[ "Can", "I", "meet", "Mark", "Zuckerberg", "in", "Harlem", "NY", "?" ]

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

[ "nearest", "branch", "of", "Apple", "Inc", ".", "in", "New", "York", "City" ]

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

[ "ratatouille", "in", "Umber", "Glade" ]

[ 0, 0, 0, 0 ]

[ "What", "are", "the", "most", "famous", "family", "-", "friendly", "restaurants", "in", "Schenectady", "NY", "?" ]

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

[ "coffee", "near", "me", "washington", "dc" ]

[ 0, 0, 0, 5, 6 ]

[ "steak", "Allentown", "PA" ]

[ 0, 9, 10 ]

[ "Top", "-", "rated", "pizzerias", "in", "Chino", "Hills", ",", "CA" ]

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

[ "best", "park", "in", "Las", "Vegas" ]

[ 0, 0, 0, 5, 6 ]

[ "Is", "Daniel", "Jackson", "available", "for", "an", "appointment", "in", "Virginia", "Beach", "?" ]

[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0 ]

[ "hiking", "trails", "League", "City", ",", "Texas" ]

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

[ "Elizabeth", "NJ", "movie", "theaters" ]

[ 9, 10, 0, 0 ]

[ "ramen", "places", "in", "South", "Fulton" ]

[ 0, 0, 0, 5, 6 ]

[ "Top", "destinations", "for", "beach", "resorts", "in", "Virginia", "Beach", "VA" ]

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

[ "BN", "shawarma" ]

[ 0, 0 ]

[ "hiking", "trails", "rnt" ]

[ 0, 0, 5 ]

[ "spring", "rolls", "in", "spring", "hill" ]

[ 0, 0, 0, 5, 6 ]

[ "sushi", "North", "Hills" ]

[ 0, 5, 6 ]

[ "noodles", "Briarwood", ",", "New", "York" ]

[ 0, 9, 10, 10, 10 ]

[ "restaurants", "near", "me", "uptown" ]

[ 0, 0, 0, 5 ]

[ "best", "restaurants", "Colton" ]

[ 0, 0, 5 ]

[ "Top", "-", "rated", "seafood", "restaurants", "in", "South", "Jordan", "UT" ]

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

[ "car", "repair", "Eagan", "MN" ]

[ 0, 0, 9, 10 ]

[ "french", "fries", "Goldenvale" ]

[ 0, 0, 0 ]

[ "nearest", "branch", "of", "Winston", "-", "Salem", "Marketing", "Firm", "in", "Memphi" ]

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

[ "locations", "of", "San", "Bernardino", "Community", "College", "District", "in", "Michigan" ]

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

[ "home", "improvement", "contractors", "near", "Arlington", "Heights", ",", "Illinois" ]

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

[ "does", "Huntsville", "Hospital", "operate", "in", "Mesa", "AZ", "?" ]

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

[ "car", "repair", "Dearborn", ",", "MI" ]

[ 0, 0, 9, 10, 10 ]

[ "home", "services", "in", "DE" ]

[ 0, 0, 0, 7 ]