Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 252

[ "The", "Washington", "Post", "in", "Charlotte", ",", "NC" ]

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

[ "Affordable", "Mexican", "restaurants", "in", "Omaha", ",", "NE" ]

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

[ "Corona", "NY", "hiking", "trails" ]

[ 9, 10, 0, 0 ]

[ "noodles", "Tustin", ",", "California" ]

[ 0, 9, 10, 10 ]

[ "hamburgers", "Grapevine", ",", "TX" ]

[ 0, 9, 10, 10 ]

[ "How", "to", "do", "business", "in", "South", "Korea", "?" ]

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

[ "Forest", "Hills", "NY", "soups" ]

[ 9, 10, 10, 0 ]

[ "best", "restaurants", "in", "San", "Jose", "CA" ]

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

[ "does", "Antonio", "Banderas", "live", "in", "Sparks" ]

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

[ "Town", "'", "n", "'", "Country", ",", "FL", "ramen" ]

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

[ "LS", "miso", "soup" ]

[ 0, 0, 0 ]

[ "does", "Albuquerque", "Electronics", "Company", "provide", "home", "repair", "services", "in", "Phoeni", "?" ]

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

[ "meatballs", "near", "me", "Meads" ]

[ 0, 0, 0, 5 ]

[ "Does", "Christopher", "Foster", "have", "a", "speech", "in", "Victorville", ",", "CA", "?" ]

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

[ "nearest", "branch", "of", "Patagonia", "in", "Los", "Angeles" ]

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

[ "plumber", "Spring", "Hill", ",", "FL" ]

[ 0, 9, 10, 10, 10 ]

[ "sushi", "Royal", "Oak", ",", "MI" ]

[ 0, 9, 10, 10, 10 ]

[ "gyms", "in", "sunnyvale" ]

[ 0, 0, 5 ]

[ "XW", "lasagna" ]

[ 0, 0 ]

[ "locations", "of", "Seattle", "Sounders", "Football", "Club", "in", "Pennsylvania" ]

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

[ "Lincoln", ",", "Nebraska", "pizza" ]

[ 9, 10, 10, 0 ]

[ "roof", "repair", "near", "waterbury" ]

[ 0, 0, 0, 5 ]

[ "hiking", "trails", "North", "Por" ]

[ 0, 0, 5, 6 ]

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

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

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

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

[ "South", "Boston", ",", "MA", "sandwiches" ]

[ 9, 10, 10, 10, 0 ]

[ "What", "are", "the", "most", "famous", "buffet", "restaurants", "in", "Ironville", "KY", "?" ]

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

[ "breakfast", "food", "North", "Chicopee", "MA" ]

[ 0, 0, 9, 10, 10 ]

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

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

[ "Charlotte", "Digital", "Marketing", "in", "Cary", ",", "North", "Carolina" ]

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

[ "Popular", "arepas", "places", "in", "Santa", "Clara", ",", "CA" ]

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

[ "best", "restaurants", "in", "Lehi", ",", "UT" ]

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

[ "best", "cafes", "in", "Little", "Havana" ]

[ 0, 0, 0, 5, 6 ]

[ "tacos", "Broken", "Arrow", ",", "OK" ]

[ 0, 9, 10, 10, 10 ]

[ "pizza", "Southfield", ",", "Michigan" ]

[ 0, 9, 10, 10 ]

[ "ramen", "Medford", ",", "Oregon" ]

[ 0, 9, 10, 10 ]

[ "Where", "to", "find", "the", "best", "croissants", "in", "Daly", "City", ",", "CA", "?" ]

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

[ "Overland", "Park", ",", "Kansas", "ramen" ]

[ 9, 10, 10, 10, 0 ]

[ "Top", "-", "rated", "Indian", "restaurants", "in", "Indianapolis", ",", "IN" ]

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

[ "Kettering", ",", "OH", "parks" ]

[ 9, 10, 10, 0 ]

[ "roof", "repair", "specialists", "in", "West", "Palm", "Beach" ]

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

[ "What", "shows", "has", "Carrie", "Fisher", "been", "on", "?" ]

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

[ "best", "cafes", "in", "Saint", "Cloud", "MN" ]

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

[ "top", "-", "rated", "movie", "theaters", "in", "Avondale", ",", "AZ" ]

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

[ "laksa", "near", "me", "irondequoit" ]

[ 0, 0, 0, 5 ]

[ "Oakland", ",", "CA", "noodles" ]

[ 9, 10, 10, 0 ]

[ "Does", "Laura", "Foster", "have", "a", "speech", "in", "New", "South", "Memphis", "TN", "?" ]

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

[ "Does", "Jonathan", "Young", "have", "a", "speech", "in", "Scottsdale", "AZ", "?" ]

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

[ "salads", "in", "Cypress", "Vale" ]

[ 0, 0, 0, 0 ]

[ "What", "are", "the", "most", "famous", "Chinese", "restaurants", "in", "Corona", "CA", "?" ]

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

[ "Huntsville", "AL", "pizza" ]

[ 9, 10, 0 ]

[ "does", "BlackRock", "offer", "roof", "repair", "in", "Chicago", ",", "IL", "?" ]

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

[ "Riverwatch", "sandwiches" ]

[ 0, 0 ]

[ "Portsmouth", "VA", "soups" ]

[ 9, 10, 0 ]

[ "Top", "-", "rated", "Japanese", "restaurants", "in", "Porterville", ",", "California" ]

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

[ "breakfast", "near", "me", "Ozone", "Park" ]

[ 0, 0, 0, 5, 6 ]

[ "best", "pizza", "near", "Middletown" ]

[ 0, 0, 0, 5 ]

[ "crepes", "in", "RX" ]

[ 0, 0, 0 ]

[ "Thornvale", "arepas" ]

[ 0, 0 ]

[ "contact", "Syracuse", "University", "in", "Temple" ]

[ 0, 3, 4, 0, 5 ]

[ "falafel", "MO" ]

[ 0, 7 ]

[ "input", "fail" ]

[ 0, 0 ]

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

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

[ "does", "Milwaukee", "Industrial", "Solutions", "operate", "in", "Inglewood", "CA", "?" ]

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

[ "ramen", "places", "in", "O", "'", "Fallon" ]

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

[ "Where", "to", "find", "the", "best", "bibimbap", "in", "Fargo", ",", "ND", "?" ]

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

[ "Where", "to", "eat", "calamari", "in", "Norfolk", ",", "VA", "?" ]

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

[ "car", "repair", "Lorain", "OH" ]

[ 0, 0, 9, 10 ]

[ "risotto", "Drift", "City" ]

[ 0, 0, 0 ]

[ "pizza", "Alhambra", ",", "California" ]

[ 0, 9, 10, 10 ]

[ "local", "electricians", "in", "Rochester", "Hills", "MI" ]

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

[ "What", "are", "the", "most", "famous", "fast", "food", "chains", "in", "Ann", "Arbor", ",", "MI", "?" ]

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

[ "Is", "Dalai", "Lama", "available", "for", "an", "appointment", "in", "Ocala", "?" ]

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

[ "does", "Chesapeake", "Energy", "Corporation", "operate", "in", "Casas", "Adobes", ",", "AZ", "?" ]

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

[ "plumber", "Encanto", ",", "Arizona" ]

[ 0, 9, 10, 10 ]

[ "providence", "temperature" ]

[ 5, 0 ]

[ "Chesapeake", "Data", "Systems", "reviews", "in", "AK" ]

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

[ "tzatziki", "Driftvale" ]

[ 0, 0 ]

[ "plumber", "oak", "lawn" ]

[ 0, 5, 6 ]

[ "what", "'", "s", "the", "weather", "forecast", "for", "Appleton", "?" ]

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

[ "who", "are", "the", "top", "doctors", "in", "West", "New", "York", ",", "NJ", "?" ]

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

[ "Oakenshire", "poke", "bowl" ]

[ 0, 0, 0 ]

[ "gyros", "Bryan" ]

[ 0, 5 ]

[ "Boise", "Energy", "Technologies", "reviews", "in", "Missouri" ]

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

[ "weather", "forecast", "for", "baton", "rouge", "this", "weekend" ]

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

[ "Provo", ",", "UT", "fried", "chicken" ]

[ 9, 10, 10, 0, 0 ]

[ "Corona", ",", "CA", "soups" ]

[ 9, 10, 10, 0 ]

[ "Where", "to", "find", "the", "best", "milkshakes", "in", "Westland", ",", "Michigan", "?" ]

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

[ "Top", "pad", "thai", "restaurants", "in", "Jersey", "City", ",", "NJ", "this", "weekend" ]

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

[ "find", "top", "-", "rated", "hospitals", "in", "League", "City", ",", "TX" ]

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

[ "best", "cafes", "Rock", "Hill", "SC" ]

[ 0, 0, 9, 10, 10 ]

[ "local", "electricians", "in", "Wichita", ",", "KS" ]

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

[ "best", "church", "in", "elp" ]

[ 0, 0, 0, 5 ]

[ "Popular", "miso", "soup", "places", "in", "Cleveland", ",", "Ohio" ]

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

[ "movie", "theaters", "Fayetteville", ",", "AR" ]

[ 0, 0, 9, 10, 10 ]

[ "hamburgers", "Flagstaff", "AZ" ]

[ 0, 9, 10 ]

[ "noodles", "Pasadena", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "ramen", "Ozone", "Park", ",", "NY" ]

[ 0, 9, 10, 10, 10 ]

[ "Popular", "schnitzel", "places", "in", "Loveland", "CO" ]

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

[ "parks", "in", "Logan", "Square" ]

[ 0, 0, 5, 6 ]