Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 264

[ "does", "Diego", "Luna", "live", "in", "cmi" ]

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

[ "best", "restaurants", "in", "Palm", "Coast", "FL" ]

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

[ "movie", "theaters", "Dublin", ",", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "fettuccine", "alfredo", "in", "HW" ]

[ 0, 0, 0, 0 ]

[ "top", "-", "rated", "roof", "repair", "Arlington", "TX" ]

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

[ "San", "Francisco", "galbi" ]

[ 5, 6, 0 ]

[ "best", "rated", "Omaha", "World", "-", "Herald", "in", "Bellingham", ",", "WA" ]

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

[ "does", "New", "Orleans", "Saints", "Football", "Club", "operate", "in", "Clovis", ",", "California", "?" ]

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

[ "calamari", "in", "Goldenleaf", "City" ]

[ 0, 0, 0, 0 ]

[ "does", "Pittsburgh", "Steelworks", "Corporation", "operate", "in", "Hawthorne", ",", "CA", "?" ]

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

[ "Apple", "Valley", ",", "California", "breakfast", "food" ]

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

[ "cakes", "Hamden", ",", "Connecticut" ]

[ 0, 9, 10, 10 ]

[ "breakfast", "food", "Caldwell", "ID" ]

[ 0, 0, 9, 10 ]

[ "breakfast", "near", "me", "Chapel", "Hill" ]

[ 0, 0, 0, 5, 6 ]

[ "Can", "I", "meet", "Megan", "Allen", "in", "Yuba", "City", ",", "CA", "?" ]

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

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

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

[ "fried", "rice", "CA" ]

[ 0, 0, 7 ]

[ "best", "cafes", "in", "vacaville" ]

[ 0, 0, 0, 5 ]

[ "hiking", "trails", "Quincy", ",", "Massachusetts" ]

[ 0, 0, 9, 10, 10 ]

[ "top", "hotels", "in", "valley", "glen" ]

[ 0, 0, 0, 5, 6 ]

[ "pad", "thai", "Sablepeak" ]

[ 0, 0, 0 ]

[ "current", "weather", "tyr" ]

[ 0, 0, 5 ]

[ "fettuccine", "alfredo", "in", "NC" ]

[ 0, 0, 0, 7 ]

[ "Cincinnati", ",", "OH", "hiking", "trails" ]

[ 9, 10, 10, 0, 0 ]

[ "coffee", "near", "me", "Weymouth" ]

[ 0, 0, 0, 5 ]

[ "hiking", "trails", "Grand", "Junctio" ]

[ 0, 0, 5, 6 ]

[ "doctor", "Mount", "Vernon", ",", "NY" ]

[ 0, 9, 10, 10, 10 ]

[ "best", "cafes", "in", "Longmont", "CO" ]

[ 0, 0, 0, 9, 10 ]

[ "real", "estate", "agents", "West", "Hollywood" ]

[ 0, 0, 0, 5, 6 ]

[ "Willow", "City", "fettuccine", "alfredo" ]

[ 0, 0, 0, 0 ]

[ "plantains", "Firgrove" ]

[ 0, 0 ]

[ "West", "Haven", ",", "Connecticut", "cakes" ]

[ 9, 10, 10, 10, 0 ]

[ "parks", "in", "Los", "Angeles", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "fried", "chicken", "GW" ]

[ 0, 0, 0 ]

[ "does", "Nashville", "Symphony", "provide", "home", "repair", "services", "in", "wlm", "?" ]

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

[ "Rogers", ",", "AR", "best", "cafes" ]

[ 9, 10, 10, 0, 0 ]

[ "roti", "California" ]

[ 0, 7 ]

[ "contact", "Frisco", "Software", "Hub", "in", "dtt" ]

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

[ "locations", "of", "Denver", "Financial", "Group", "in", "PA" ]

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

[ "malai", "kofta", "Jadewood" ]

[ 0, 0, 0 ]

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

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

[ "shabu", "shabu", "near", "me", "Corpus", "Christi" ]

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

[ "breakfast", "food", "North", "Hollywood", ",", "California" ]

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

[ "Waltham", ",", "MA", "ramen" ]

[ 9, 10, 10, 0 ]

[ "WS", "seafood" ]

[ 0, 0 ]

[ "events", "in", "Columbia", ",", "MD", "this", "weekend" ]

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

[ "does", "Marc", "Benioff", "live", "in", "dundalk" ]

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

[ "burgers", "Kansas", "City", "MO" ]

[ 0, 9, 10, 10 ]

[ "Riverview", ",", "FL", "hamburgers" ]

[ 9, 10, 10, 0 ]

[ "does", "Bakersfield", "Condors", "Hockey", "Team", "provide", "home", "repair", "services", "in", "Chino", "Hills", "?" ]

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

[ "places", "to", "visit", "in", "nampa" ]

[ 0, 0, 0, 0, 5 ]

[ "Can", "I", "meet", "Kamala", "Harris", "in", "Buffalo", ",", "NY", "?" ]

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

[ "pharmacies", "Savannah", ",", "Georgia" ]

[ 0, 9, 10, 10 ]

[ "pasta", "Bellevue", ",", "NE" ]

[ 0, 9, 10, 10 ]

[ "car", "repair", "El", "Paso", "TX" ]

[ 0, 0, 9, 10, 10 ]

[ "Westmarch", "baklava" ]

[ 0, 0 ]

[ "doctor", "west", "lynchburg" ]

[ 0, 5, 6 ]

[ "does", "Rochester", "Philharmonic", "Orchestra", "offer", "roof", "repair", "in", "Dale", "City", "VA", "?" ]

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

[ "noodles", "in", "Elysian", "Ridge" ]

[ 0, 0, 0, 0 ]

[ "Warren", "MI", "fried", "chicken" ]

[ 9, 10, 0, 0 ]

[ "Top", "clam", "chowder", "restaurants", "in", "St", ".", "Petersburg", "FL", "this", "weekend" ]

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

[ "car", "repair", "Mountain", "View", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "hours", "of", "Anaheim", "Ducks", "Hockey", "Team", "in", "borough", "of", "bronx" ]

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

[ "Best", "ways", "to", "transfer", "Venmo", "internationally" ]

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

[ "galbi", "in", "SD" ]

[ 0, 0, 7 ]

[ "livonia", "arepas" ]

[ 5, 0 ]

[ "hospital", "Allen" ]

[ 0, 5 ]

[ "Where", "to", "eat", "meatballs", "in", "Sherman", "Oaks", ",", "CA", "?" ]

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

[ "Popular", "steak", "places", "in", "Houston", "TX" ]

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

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

[ 0, 0, 0, 9, 10 ]

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

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Pittsburgh", "Steelers", "Football", "Team", "in", "Washington", "?" ]

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

[ "places", "to", "visit", "in", "West", "Palm", "Beach" ]

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

[ "best", "theater", "in", "Manhattan" ]

[ 0, 0, 0, 5 ]

[ "Austin", ",", "TX", "desserts" ]

[ 9, 10, 10, 0 ]

[ "Anderson", ",", "IN", "sushi" ]

[ 9, 10, 10, 0 ]

[ "best", "lake", "in", "Seattle" ]

[ 0, 0, 0, 5 ]

[ "Jasmine", "Vale", "cheesecake" ]

[ 0, 0, 0 ]

[ "steak", "Manhattan", ",", "New", "York" ]

[ 0, 9, 10, 10, 10 ]

[ "pharmacies", "Thousand", "Oaks", "CA" ]

[ 0, 9, 10, 10 ]

[ "local", "electricians", "in", "Mission", "Viejo", ",", "CA" ]

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

[ "best", "restaurants", "Scranton" ]

[ 0, 0, 5 ]

[ "home", "improvement", "services", "Methuen", ",", "MA" ]

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

[ "ice", "cream", "Warwick", ",", "RI" ]

[ 0, 0, 9, 10, 10 ]

[ "home", "improvement", "services", "Dothan", ",", "Alabama" ]

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

[ "Lakeland", ",", "FL", "cakes" ]

[ 9, 10, 10, 0 ]

[ "does", "Baton", "Rouge", "Financial", "Services", "provide", "home", "repair", "services", "in", "Los", "Angeles", "?" ]

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

[ "Is", "Jonathan", "Young", "available", "for", "an", "appointment", "in", "Spring", "Hill", "?" ]

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

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

[ 0, 0, 5, 0, 0 ]

[ "ice", "cream", "Brentwood", ",", "New", "York" ]

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

[ "Top", "guacamole", "restaurants", "in", "New", "Braunfels", ",", "TX", "this", "weekend" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Phoenix", "Solar", "Power", "in", "DE", "?" ]

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

[ "roof", "repair", "specialists", "in", "lse" ]

[ 0, 0, 0, 0, 5 ]

[ "Is", "Prince", "available", "for", "an", "appointment", "in", "cincinnati", "?" ]

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

[ "teriyaki", "Colorado" ]

[ 0, 7 ]

[ "find", "top", "-", "rated", "hospitals", "in", "Birmingham", ",", "AL" ]

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

[ "cakes", "Oklahoma", "City", ",", "Oklahoma" ]

[ 0, 9, 10, 10, 10 ]

[ "milkshakes", "near", "me", "middletown" ]

[ 0, 0, 0, 5 ]

[ "roof", "repair", "specialists", "in", "North", "La", "Crosse" ]

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

[ "Tulsa", ",", "OK", "ice", "cream" ]

[ 9, 10, 10, 0, 0 ]