Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 256

[ "nearest", "branch", "of", "Salem", "Health", "in", "Indianapoli" ]

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

[ "burgers", "West", "Sacramento", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "Where", "to", "eat", "pierogi", "in", "Sacramento", ",", "CA", "?" ]

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

[ "coffee", "near", "me", "Hoboken" ]

[ 0, 0, 0, 5 ]

[ "car", "repair", "Baltimore", "MD" ]

[ 0, 0, 9, 10 ]

[ "Top", "hot", "dogs", "restaurants", "in", "Naperville", ",", "IL", "this", "weekend" ]

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

[ "roof", "repair", "near", "Palm", "Harbor" ]

[ 0, 0, 0, 5, 6 ]

[ "roof", "repair", "near", "El", "Cajon" ]

[ 0, 0, 0, 5, 6 ]

[ "pizza", "Sparks", ",", "NV" ]

[ 0, 9, 10, 10 ]

[ "pharmacies", "Little", "Havana", ",", "FL" ]

[ 0, 9, 10, 10, 10 ]

[ "best", "pizza", "near", "srf" ]

[ 0, 0, 0, 5 ]

[ "brunch", "Decatur", "IL" ]

[ 0, 9, 10 ]

[ "best", "cafes", "in", "Brownsville", "NY" ]

[ 0, 0, 0, 9, 10 ]

[ "pancakes", "Florida" ]

[ 0, 7 ]

[ "pasta", "Iowa", "City", ",", "IA" ]

[ 0, 9, 10, 10, 10 ]

[ "fried", "chicken", "Rochester", ",", "NY" ]

[ 0, 0, 9, 10, 10 ]

[ "souvlaki", "Colorado" ]

[ 0, 7 ]

[ "even", "in", "el", "paso" ]

[ 0, 0, 5, 6 ]

[ "Baltimore", "Technology", "Inc", ".", "in", "San", "Marcos", ",", "CA" ]

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

[ "Affordable", "cafes", "in", "Paterson", ",", "New", "Jersey" ]

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

[ "Is", "Michelle", "Garcia", "available", "for", "an", "appointment", "in", "Naperville", "?" ]

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

[ "best", "restaurants", "Hamden" ]

[ 0, 0, 5 ]

[ "ramen", "Stratford", ",", "CT" ]

[ 0, 9, 10, 10 ]

[ "Spokane", "Transit", "Authority", "reviews", "in", "CO" ]

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

[ "roof", "repair", "elp" ]

[ 0, 0, 5 ]

[ "Best", "deals", "on", "road", "trips", "in", "Jackson", ",", "NJ" ]

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

[ "roof", "repair", "near", "crp" ]

[ 0, 0, 0, 5 ]

[ "does", "Mesa", "Auto", "Parts", "offer", "roof", "repair", "in", "Glen", "Burnie", ",", "MD", "?" ]

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

[ "does", "BMW", "Group", "offer", "roof", "repair", "in", "Manhattan", ",", "New", "York", "?" ]

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

[ "nurse", "taylorsville" ]

[ 0, 5 ]

[ "tamales", "hnl" ]

[ 0, 5 ]

[ "desserts", "Bloomington", ",", "MN" ]

[ 0, 9, 10, 10 ]

[ "does", "Daytona", "International", "Speedway", "provide", "home", "repair", "services", "in", "Montgomery", "?" ]

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

[ "Where", "to", "eat", "bagels", "in", "Tucson", "AZ", "?" ]

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

[ "Top", "churros", "restaurants", "in", "Houston", ",", "Texas", "this", "weekend" ]

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

[ "desserts", "Irving", ",", "Texas" ]

[ 0, 9, 10, 10 ]

[ "nearest", "branch", "of", "Miami", "International", "University", "in", "Chicopee" ]

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

[ "restaurants", "near", "me", "Sioux", "Cit" ]

[ 0, 0, 0, 5, 6 ]

[ "vegan", "food", "Cedar", "City" ]

[ 0, 0, 0, 0 ]

[ "Chula", "Vista", ",", "California", "hamburgers" ]

[ 9, 10, 10, 10, 0 ]

[ "emergency", "services", "Corvallis" ]

[ 0, 0, 5 ]

[ "Top", "destinations", "for", "road", "trips", "in", "Austin", ",", "TX" ]

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

[ "fried", "chicken", "UV" ]

[ 0, 0, 0 ]

[ "nearest", "branch", "of", "Seattle", "Pacific", "University", "in", "Nashville" ]

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

[ "pizza", "Battle", "Creek", "MI" ]

[ 0, 9, 10, 10 ]

[ "bao", "buns", "in", "Stonepeak" ]

[ 0, 0, 0, 0 ]

[ "Popular", "naan", "places", "in", "Savannah", ",", "GA" ]

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

[ "KS", "buffalo", "wings" ]

[ 7, 0, 0 ]

[ "Sioux", "City", ",", "IA", "best", "cafes" ]

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

[ "does", "Cleveland", "Clinic", "offer", "roof", "repair", "in", "Fishers", ",", "Indiana", "?" ]

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

[ "locations", "of", "Naperville", "North", "High", "School", "in", "IN" ]

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

[ "ice", "cream", "Raleigh", ",", "North", "Carolina" ]

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

[ "pizza", "Honolulu", "HI" ]

[ 0, 9, 10 ]

[ "pierogi", "Gilded", "Vale" ]

[ 0, 0, 0 ]

[ "best", "arena", "in", "Los", "Angeles" ]

[ 0, 0, 0, 5, 6 ]

[ "Shawnee", ",", "KS", "cakes" ]

[ 9, 10, 10, 0 ]

[ "nearest", "branch", "of", "Portland", "Trail", "Blazers", "Basketball", "Team", "in", "waterloo" ]

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

[ "samosa", "in", "HD" ]

[ 0, 0, 0 ]

[ "Top", "-", "rated", "pizzerias", "in", "Jersey", "City", "NJ" ]

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

[ "Virginia", "Beach", "Public", "Schools", "in", "Brooklyn", ",", "NY" ]

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

[ "South", "San", "Francisco", ",", "California", "hiking", "trails" ]

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

[ "sandwiches", "Darkfall" ]

[ 0, 0 ]

[ "Troy", ",", "MI", "ramen" ]

[ 9, 10, 10, 0 ]

[ "Irvington", ",", "New", "Jersey", "temperature" ]

[ 9, 10, 10, 10, 0 ]

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

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

[ "lawyers", "in", "Honolulu", ",", "Hawaii" ]

[ 0, 0, 9, 10, 10 ]

[ "best", "restaurants", "Rancho", "Cordova" ]

[ 0, 0, 5, 6 ]

[ "What", "are", "the", "most", "famous", "buffet", "restaurants", "in", "Dallas", ",", "TX", "?" ]

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

[ "sushi", "near", "me", "Camden" ]

[ 0, 0, 0, 5 ]

[ "electrician", "noblesville" ]

[ 0, 5 ]

[ "seafood", "Medford", ",", "OR" ]

[ 0, 9, 10, 10 ]

[ "steak", "Santa", "Ana", "CA" ]

[ 0, 9, 10, 10 ]

[ "places", "to", "visit", "in", "Colorado", "Spring" ]

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

[ "coffee", "Elmhurst" ]

[ 0, 5 ]

[ "tacos", "Lancaster", ",", "PA" ]

[ 0, 9, 10, 10 ]

[ "Where", "to", "find", "the", "best", "donuts", "in", "Laredo", ",", "TX", "?" ]

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

[ "nearest", "branch", "of", "Detroit", "Institute", "of", "Arts", "in", "westland" ]

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

[ "risotto", "in", "Alameda" ]

[ 0, 0, 5 ]

[ "Richardson", ",", "Texas", "ramen" ]

[ 9, 10, 10, 0 ]

[ "Can", "I", "meet", "Connor", "Myers", "in", "Cleveland", ",", "OH", "?" ]

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

[ "local", "electricians", "in", "Portsmouth", "Heights", ",", "VA" ]

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

[ "locations", "of", "Houston", "General", "Hospital", "in", "Oregon" ]

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

[ "coffee", "near", "me", "fontana" ]

[ 0, 0, 0, 5 ]

[ "pharmacies", "Springfield", ",", "OH" ]

[ 0, 9, 10, 10 ]

[ "sandwiches", "Citrus", "Heights", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "soups", "Jamaica", "NY" ]

[ 0, 9, 10 ]

[ "Fort", "Worth", "desserts" ]

[ 5, 6, 0 ]

[ "What", "are", "the", "most", "famous", "fast", "food", "chains", "in", "New", "York", "City", ",", "NY", "?" ]

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

[ "hours", "of", "Salt", "Lake", "City", "Analytics", "in", "Bakersfield" ]

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

[ "webina", "in", "Apple", "Valle" ]

[ 0, 0, 5, 6 ]

[ "ramen", "West", "Hartford", "CT" ]

[ 0, 9, 10, 10 ]

[ "tempura", "Sunrise", "Manor" ]

[ 0, 5, 6 ]

[ "best", "zoo", "in", "chesapeake" ]

[ 0, 0, 0, 5 ]

[ "top", "-", "rated", "movie", "theaters", "in", "National", "City", ",", "CA" ]

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

[ "Kennewick", ",", "Washington", "soups" ]

[ 9, 10, 10, 0 ]

[ "top", "-", "rated", "movie", "theaters", "in", "Olathe", "KS" ]

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

[ "Erie", ",", "Pennsylvania", "hiking", "trails" ]

[ 9, 10, 10, 0, 0 ]

[ "Best", "deals", "on", "honeymoon", "destinations", "in", "Shreveport", ",", "LA" ]

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

[ "doctor", "Federal", "Way", ",", "WA" ]

[ 0, 9, 10, 10, 10 ]

[ "breakfast", "food", "San", "Pedro", "CA" ]

[ 0, 0, 9, 10, 10 ]