Datasets:

Mozilla

/

smart_ner_dataset

like 0

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mozilla 185

[ "ZT", "shawarma" ]

[ 0, 0 ]

[ "cupcakes", "in", "Sapphire", "Ridge" ]

[ 0, 0, 0, 0 ]

[ "guacamole", "Denver" ]

[ 0, 5 ]

[ "Newark", ",", "NJ", "best", "cafes" ]

[ 9, 10, 10, 0, 0 ]

[ "contact", "Cleveland", "City", "Schools", "in", "hii" ]

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

[ "best", "sushi", "in", "Maple", "Grove", ",", "MN" ]

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

[ "breakfast", "food", "near", "me", "Las", "Vegas" ]

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

[ "empanadas", "in", "tpa" ]

[ 0, 0, 5 ]

[ "contact", "Fresno", "Pacific", "University", "in", "Mount", "Prospect" ]

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

[ "locations", "of", "Washington", "DC", "Development", "in", "NH" ]

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

[ "does", "Hugh", "Jackman", "live", "in", "Chicago" ]

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

[ "does", "ExxonMobil", "provide", "home", "repair", "services", "in", "nyc", "?" ]

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

[ "Popular", "frozen", "yogurt", "places", "in", "Tulsa", ",", "Oklahoma" ]

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

[ "bibimbap", "LD" ]

[ 0, 0 ]

[ "Fort", "Smith", "AR", "hamburgers" ]

[ 9, 10, 10, 0 ]

[ "top", "yelp", "reviews", "South", "Lawndale" ]

[ 0, 0, 0, 5, 6 ]

[ "curry", "New", "Braunfels" ]

[ 0, 5, 6 ]

[ "Chico", "CA", "temperature" ]

[ 9, 10, 0 ]

[ "car", "repair", "Kentwood" ]

[ 0, 0, 5 ]

[ "pizza", "Casper" ]

[ 0, 5 ]

[ "crepes", "Crimson", "Bay" ]

[ 0, 0, 0 ]

[ "ice", "cream", "Spring", ",", "Texas" ]

[ 0, 0, 9, 10, 10 ]

[ "find", "hiking", "trails", "in", "Somerville", "MA" ]

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

[ "florist", "La", "Habra", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "Affordable", "buffet", "restaurants", "in", "Carmichael", "CA" ]

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

[ "Top", "-", "rated", "family", "-", "friendly", "restaurants", "in", "Lakewood", ",", "CA" ]

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

[ "does", "Flint", "Institute", "of", "Arts", "provide", "home", "repair", "services", "in", "Columbu", "?" ]

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

[ "emergency", "services", "Bethlehem", "PA" ]

[ 0, 0, 9, 10 ]

[ "best", "restaurants", "Port", "Charlotte" ]

[ 0, 0, 5, 6 ]

[ "best", "restaurants", "elk", "grove" ]

[ 0, 0, 5, 6 ]

[ "does", "University", "of", "Oxford", "operate", "in", "Youngstown", "OH", "?" ]

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

[ "does", "Wall", "Street", "Journal", "provide", "home", "repair", "services", "in", "hou", "?" ]

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

[ "nearest", "branch", "of", "Tampa", "Bay", "Buccaneers", "Football", "Club", "in", "Menifee" ]

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

[ "lawyers", "in", "Taylor", "MI" ]

[ 0, 0, 9, 10 ]

[ "cheesecake", "in", "MX" ]

[ 0, 0, 0 ]

[ "Top", "destinations", "for", "ski", "trips", "in", "Pembroke", "Pines", ",", "FL" ]

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

[ "pharmacies", "Gary", "IN" ]

[ 0, 9, 10 ]

[ "fried", "chicken", "South", "Gate", ",", "CA" ]

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

[ "hospitals", "in", "North", "Carolina" ]

[ 0, 0, 7, 8 ]

[ "Loveland", ",", "CO", "sushi" ]

[ 9, 10, 10, 0 ]

[ "ratatouille", "ID" ]

[ 0, 7 ]

[ "best", "sushi", "in", "Rock", "Hill", ",", "SC" ]

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

[ "nearest", "branch", "of", "Ernst", "&", "Young", "in", "lodi" ]

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

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

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

[ "Bellingham", "WA", "breakfast", "food" ]

[ 9, 10, 0, 0 ]

[ "Top", "destinations", "for", "beach", "resorts", "in", "Los", "Angeles", "CA" ]

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

[ "Jamaica", ",", "New", "York", "temperature" ]

[ 9, 10, 10, 10, 0 ]

[ "best", "rated", "Boston", "Medical", "Group", "in", "San", "Diego", ",", "CA" ]

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

[ "best", "restaurants", "in", "Houston", ",", "Texas" ]

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

[ "Sunspire", "plantains" ]

[ 0, 0 ]

[ "locations", "of", "Albany", "Law", "School", "in", "Michigan" ]

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

[ "Is", "Joshua", "Thompson", "available", "for", "an", "appointment", "in", "Akron", "?" ]

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

[ "gyms", "in", "Deerfield", "Beach" ]

[ 0, 0, 5, 6 ]

[ "restaurants", "near", "me", "santa", "maria" ]

[ 0, 0, 0, 5, 6 ]

[ "does", "Deloitte", "operate", "in", "Chicago", "IL", "?" ]

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

[ "physio", "therapy", "South", "Ozone", "Park", ",", "New", "York" ]

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

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

[ 0, 0, 5, 0, 0 ]

[ "tempura", "in", "AR" ]

[ 0, 0, 7 ]

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

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

[ "tacos", "Kentwood", "MI" ]

[ 0, 9, 10 ]

[ "pharmacies", "Chino", "Hills" ]

[ 0, 5, 6 ]

[ "fried", "rice", "near", "me", "pmd" ]

[ 0, 0, 0, 0, 5 ]

[ "grumblepop" ]

[ 0 ]

[ "pharmacies", "el", "cajon" ]

[ 0, 5, 6 ]

[ "Allentown", ",", "Pennsylvania", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "Affordable", "Indian", "restaurants", "in", "Saint", "Paul", ",", "MN" ]

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

[ "arepas", "MQ" ]

[ 0, 0 ]

[ "Is", "Dwayne", "Johnson", "available", "for", "an", "appointment", "in", "Houston", "?" ]

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

[ "poutine", "in", "LK" ]

[ 0, 0, 0 ]

[ "Bright", "City", "nachos" ]

[ 0, 0, 0 ]

[ "desserts", "Lenexa", ",", "KS" ]

[ 0, 9, 10, 10 ]

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Columbus", "Financial", "Advisors", "in", "RI", "?" ]

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

[ "hospital", "Brockton", "MA" ]

[ 0, 9, 10 ]

[ "nurse", "jnp" ]

[ 0, 5 ]

[ "UV", "dumplings" ]

[ 0, 0 ]

[ "Portland", ",", "Maine", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "local", "electricians", "in", "Cedar", "Park", ",", "TX" ]

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

[ "tacos", "Amherst", ",", "New", "York" ]

[ 0, 9, 10, 10, 10 ]

[ "XF", "laksa" ]

[ 0, 0 ]

[ "Popular", "schnitzel", "places", "in", "East", "Hampton", ",", "VA" ]

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

[ "Can", "I", "meet", "Bob", "Dylan", "in", "Grand", "Rapids", "MI", "?" ]

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

[ "fettuccine", "alfredo", "near", "me", "Waldorf" ]

[ 0, 0, 0, 0, 5 ]

[ "pad", "thai", "in", "LS" ]

[ 0, 0, 0, 0 ]

[ "home", "improvement", "services", "Pembroke", "Pines", ",", "FL" ]

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

[ "doctor", "Miami", "Gardens" ]

[ 0, 5, 6 ]

[ "does", "University", "of", "Southern", "California", "provide", "home", "repair", "services", "in", "Nashua", "?" ]

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

[ "events", "in", "Oak", "Park", ",", "IL", "this", "weekend" ]

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

[ "weather", "topeka" ]

[ 0, 5 ]

[ "crepes", "near", "me", "Bonita", "Springs" ]

[ 0, 0, 0, 5, 6 ]

[ "doctor", "Appleton", ",", "WI" ]

[ 0, 9, 10, 10 ]

[ "pork", "ribs", "KP" ]

[ 0, 0, 0 ]

[ "breakfast", "near", "me", "lse" ]

[ 0, 0, 0, 5 ]

[ "Decatu", "pierogi" ]

[ 5, 0 ]

[ "vegan", "food", "Cape", "Coral", ",", "Florida" ]

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

[ "sandwiches", "Mansfield", ",", "TX" ]

[ 0, 9, 10, 10 ]

[ "physio", "therapy", "San", "Diego" ]

[ 0, 0, 5, 6 ]

[ "places", "to", "visit", "in", "Fort", "Collin" ]

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

[ "restaurants", "near", "me", "Framingham", "Center" ]

[ 0, 0, 0, 5, 6 ]

[ "top", "-", "rated", "movie", "theaters", "in", "Huntington", "Beach", ",", "California" ]

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

[ "mac", "and", "cheese", "in", "SW" ]

[ 0, 0, 0, 0, 0 ]