Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 254

[ "Is", "Jacob", "Green", "available", "for", "an", "appointment", "in", "Toledo", "?" ]

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

[ "coffee", "near", "me", "Spring", "Hill" ]

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[ "hiking", "trails", "ocf" ]

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[ "does", "Atlanta", "City", "Bank", "offer", "roof", "repair", "in", "Wichita", ",", "KS", "?" ]

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

[ "clam", "chowder", "KP" ]

[ 0, 0, 0 ]

[ "Is", "Jack", "Murphy", "available", "for", "an", "appointment", "in", "Corpus", "Christi", "?" ]

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

[ "Bossier", "City", ",", "Louisiana", "breakfast", "food" ]

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

[ "San", "Diego", "Software", "Innovations", "reviews", "in", "AZ" ]

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

[ "sushi", "Richardson", ",", "Texas" ]

[ 0, 9, 10, 10 ]

[ "Affordable", "fine", "dining", "in", "Baltimore", ",", "MD" ]

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

[ "best", "pizza", "near", "evansville" ]

[ 0, 0, 0, 5 ]

[ "Can", "I", "meet", "Dylan", "Mitchell", "in", "Raleigh", ",", "North", "Carolina", "?" ]

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

[ "Hialeah", "FL", "pizza" ]

[ 9, 10, 0 ]

[ "arepas", "azo" ]

[ 0, 5 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Sacramento", "Community", "Center", "in", "Michigan", "?" ]

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

[ "sushi", "Round", "Rock" ]

[ 0, 5, 6 ]

[ "best", "rated", "Yale", "University", "in", "Elmhurst", "NY" ]

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

[ "best", "cafes", "Manhattan", ",", "Kansas" ]

[ 0, 0, 9, 10, 10 ]

[ "ramen", "Florence", "-", "Graha" ]

[ 0, 5, 6, 6 ]

[ "Indianapolis", ",", "Indiana", "pasta" ]

[ 9, 10, 10, 0 ]

[ "car", "repair", "Glendale", ",", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "Wisconsin", "miso", "soup" ]

[ 7, 0, 0 ]

[ "home", "improvement", "mke" ]

[ 0, 0, 5 ]

[ "roof", "repair", "specialists", "in", "Rochester", "Hills" ]

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

[ "strudel", "North", "Charleston" ]

[ 0, 5, 6 ]

[ "tacos", "Waldorf", "MD" ]

[ 0, 9, 10 ]

[ "Is", "Ringo", "Starr", "traveling", "to", "IN", "next", "week", "?" ]

[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]

[ "How", "to", "sync", "digital", "camera", "with", "my", "phone", "?" ]

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

[ "workout", "in", "Columbus" ]

[ 0, 0, 5 ]

[ "does", "Houston", "Community", "College", "provide", "home", "repair", "services", "in", "Nashville", "?" ]

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

[ "Where", "to", "eat", "waffles", "in", "Arvada", ",", "CO", "?" ]

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

[ "Oasis", "Ridge", "steak" ]

[ 0, 0, 0 ]

[ "home", "maintenance", "services", "in", "Miami", "FL" ]

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

[ "barbecue", "VW" ]

[ 0, 0 ]

[ "hospital", "Oceanside", "CA" ]

[ 0, 9, 10 ]

[ "Best", "Indian", "restaurants", "in", "Grand", "Island", ",", "NE" ]

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

[ "steak", "in", "Milwauke" ]

[ 0, 0, 5 ]

[ "hiking", "trails", "Kokomo", ",", "IN" ]

[ 0, 0, 9, 10, 10 ]

[ "guacamole", "Twilight", "Vale" ]

[ 0, 0, 0 ]

[ "plumbing", "services", "in", "Largo", ",", "Florida" ]

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

[ "burgers", "KP" ]

[ 0, 0 ]

[ "find", "top", "-", "rated", "hospitals", "in", "Napa", ",", "CA" ]

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

[ "Top", "-", "rated", "barbecue", "joints", "in", "Tempe", "Junction", ",", "AZ" ]

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

[ "chimichurri", "steak", "in", "FB" ]

[ 0, 0, 0, 0 ]

[ "plumber", "Westminster", ",", "CO" ]

[ 0, 9, 10, 10 ]

[ "hours", "of", "Seattle", "Sounders", "Football", "Club", "in", "Chicag" ]

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

[ "florist", "Chattanooga", ",", "Tennessee" ]

[ 0, 9, 10, 10 ]

[ "Top", "-", "rated", "Indian", "restaurants", "in", "Flint", ",", "MI" ]

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

[ "locations", "of", "Columbia", "University", "in", "NJ" ]

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

[ "What", "are", "the", "most", "famous", "steakhouses", "in", "Dubuque", ",", "IA", "?" ]

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

[ "What", "are", "the", "most", "famous", "Japanese", "restaurants", "in", "Taunton", ",", "Massachusetts", "?" ]

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

[ "quesadillas", "Sablewood" ]

[ 0, 0 ]

[ "Trillium", "Vale", "yakitori" ]

[ 0, 0, 0 ]

[ "pharmacies", "Tempe", "Junction", ",", "AZ" ]

[ 0, 9, 10, 10, 10 ]

[ "Moonbrooke", "crepes" ]

[ 0, 0 ]

[ "curry", "in", "Fernwood" ]

[ 0, 0, 0 ]

[ "emergency", "services", "Fort", "Worth", "TX" ]

[ 0, 0, 9, 10, 10 ]

[ "does", "Sadie", "Sink", "live", "in", "aus" ]

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

[ "ice", "cream", "Little", "Rock", ",", "AR" ]

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

[ "weather", "Kentwood", ",", "MI" ]

[ 0, 9, 10, 10 ]

[ "souvlaki", "in", "Mossmere" ]

[ 0, 0, 0 ]

[ "tamales", "Wisconsin" ]

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[ "Top", "-", "rated", "pizzerias", "in", "Danbury", ",", "CT" ]

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

[ "does", "University", "of", "Michigan", "offer", "roof", "repair", "in", "Norman", ",", "OK", "?" ]

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

[ "Top", "strudel", "restaurants", "in", "Bismarck", "ND", "this", "weekend" ]

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

[ "Top", "destinations", "for", "hotels", "in", "Hammond", ",", "Indiana" ]

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

[ "Irvine", ",", "CA", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "lawyers", "in", "Pinellas", "Park" ]

[ 0, 0, 5, 6 ]

[ "pizza", "San", "Tan", "Valley", "AZ" ]

[ 0, 9, 10, 10, 10 ]

[ "car", "repair", "Ocala", "FL" ]

[ 0, 0, 9, 10 ]

[ "florist", "Anaheim", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "Where", "to", "find", "the", "best", "malai", "kofta", "in", "New", "York", "City", ",", "NY", "?" ]

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

[ "find", "hiking", "trails", "in", "Santa", "Clara", ",", "CA" ]

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

[ "physio", "therapy", "Evanston", "IL" ]

[ 0, 0, 9, 10 ]

[ "pasta", "Nashua", ",", "NH" ]

[ 0, 9, 10, 10 ]

[ "Davie", "FL", "steak" ]

[ 9, 10, 0 ]

[ "Best", "deals", "on", "family", "vacations", "in", "Atlanta", "GA" ]

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

[ "steak", "Eden", "Prairie", ",", "MN" ]

[ 0, 9, 10, 10, 10 ]

[ "Wichita", "Falls", ",", "TX", "best", "cafes" ]

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

[ "Washington", "Wizards", "Basketball", "Club", "in", "Bellevue", ",", "WA" ]

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

[ "West", "Ridge", ",", "IL", "burgers" ]

[ 9, 10, 10, 10, 0 ]

[ "best", "rated", "Riverside", "Community", "Hospital", "in", "Jackson", ",", "NJ" ]

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

[ "What", "are", "the", "most", "famous", "seafood", "restaurants", "in", "Medford", ",", "MA", "?" ]

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

[ "Fort", "Lauderdale", "Construction", "Group", "in", "McAllen", ",", "TX" ]

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

[ "upcoming", "events", "in", "Colton", "this", "weekend" ]

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

[ "parks", "in", "Frederick" ]

[ 0, 0, 5 ]

[ "clam", "chowder", "in", "LV" ]

[ 0, 0, 0, 0 ]

[ "pad", "thai", "Nevada" ]

[ 0, 0, 7 ]

[ "Thorn", "City", "bibimbap" ]

[ 0, 0, 0 ]

[ "What", "are", "the", "most", "famous", "gastropubs", "in", "West", "Ridge", ",", "IL", "?" ]

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

[ "real", "estate", "agents", "winston", "salem" ]

[ 0, 0, 0, 5, 6 ]

[ "top", "-", "rated", "movie", "theaters", "in", "Frisco", ",", "TX" ]

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

[ "Top", "destinations", "for", "car", "rentals", "in", "Chicago", "IL" ]

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

[ "West", "Des", "Moines", ",", "Iowa", "ramen" ]

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

[ "coffee", "near", "me", "Galveston" ]

[ 0, 0, 0, 5 ]

[ "pad", "thai", "in", "Umbrafield" ]

[ 0, 0, 0, 0 ]

[ "hamburgers", "Killeen", ",", "Texas" ]

[ 0, 9, 10, 10 ]

[ "UV", "yakitori" ]

[ 0, 0 ]

[ "is", "Donald", "Trump", "married", "?" ]

[ 0, 1, 2, 0, 0 ]

[ "nachos", "near", "me", "Queens" ]

[ 0, 0, 0, 5 ]