Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 235

[ "hours", "of", "Boise", "Energy", "Technologies", "in", "Hawthorne" ]

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

[ "parks", "in", "san", "francisco" ]

[ 0, 0, 5, 6 ]

[ "real", "estate", "agents", "Arizona" ]

[ 0, 0, 0, 7 ]

[ "Does", "Ringo", "Starr", "have", "a", "speech", "in", "Brooklyn", ",", "New", "York", "?" ]

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

[ "Can", "I", "meet", "Steven", "Nelson", "in", "Tamiami", ",", "Florida", "?" ]

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

[ "Jackson", ",", "NJ", "sandwiches" ]

[ 9, 10, 10, 0 ]

[ "Where", "to", "find", "the", "best", "bagels", "in", "Huntington", "Beach", ",", "CA", "?" ]

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

[ "Eaglesong", "pho" ]

[ 0, 0 ]

[ "physio", "therapy", "Layton", ",", "Utah" ]

[ 0, 0, 9, 10, 10 ]

[ "sandwiches", "Bushwick", ",", "New", "York" ]

[ 0, 9, 10, 10, 10 ]

[ "vegan", "food", "Broken", "Arrow", "OK" ]

[ 0, 0, 9, 10, 10 ]

[ "Is", "Tom", "Brady", "traveling", "to", "Maine", "next", "week", "?" ]

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

[ "Brockton", ",", "MA", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "electrician", "Flagami" ]

[ 0, 5 ]

[ "roof", "repair", "doral" ]

[ 0, 0, 5 ]

[ "Maryland", "pad", "thai" ]

[ 7, 0, 0 ]

[ "Top", "-", "rated", "buffet", "restaurants", "in", "Kansas", "City", ",", "Missouri" ]

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

[ "florist", "Napa", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "Popular", "smoothies", "places", "in", "Near", "North", "Side", ",", "IL" ]

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

[ "frozen", "yogurt", "VA" ]

[ 0, 0, 7 ]

[ "Where", "to", "find", "the", "best", "dumplings", "in", "Chesapeake", ",", "VA", "?" ]

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

[ "Golden", "City", "vegan", "food" ]

[ 0, 0, 0, 0 ]

[ "vegan", "food", "Waterford", ",", "MI" ]

[ 0, 0, 9, 10, 10 ]

[ "ramen", "Arvada" ]

[ 0, 5 ]

[ "does", "Gilbert", "Transportation", "Group", "offer", "roof", "repair", "in", "Costa", "Mesa", ",", "CA", "?" ]

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

[ "Bright", "City", "dim", "sum" ]

[ 0, 0, 0, 0 ]

[ "Is", "Alexander", "Davis", "traveling", "to", "ME", "next", "week", "?" ]

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

[ "parks", "Stockton", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "florist", "Bonita", "Springs" ]

[ 0, 5, 6 ]

[ "nearest", "branch", "of", "Tucson", "Data", "Science", "Center", "in", "bwi" ]

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

[ "Affordable", "food", "trucks", "in", "Colorado", "Springs", "CO" ]

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

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

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

[ "best", "church", "in", "surprise" ]

[ 0, 0, 0, 5 ]

[ "Bloomington", "MN", "sandwiches" ]

[ 9, 10, 0 ]

[ "breakfast", "food", "North", "Bergen", ",", "New", "Jersey" ]

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

[ "conservato", "hours" ]

[ 0, 0 ]

[ "sandwiches", "Lakewood", ",", "Colorado" ]

[ 0, 9, 10, 10 ]

[ "pad", "thai", "Vacaville" ]

[ 0, 0, 5 ]

[ "does", "NBCUniversal", "operate", "in", "Austin", ",", "TX", "?" ]

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

[ "dundalk", "fried", "rice" ]

[ 5, 0, 0 ]

[ "strudel", "in", "SP" ]

[ 0, 0, 0 ]

[ "Chandler", "Regional", "Medical", "Center", "reviews", "in", "Utah" ]

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

[ "Affordable", "Mexican", "restaurants", "in", "Jersey", "City", ",", "NJ" ]

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

[ "Is", "Steven", "Nelson", "traveling", "to", "NM", "next", "week", "?" ]

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

[ "home", "improvement", "services", "North", "Charleston", ",", "South", "Carolina" ]

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

[ "What", "are", "the", "most", "famous", "diner", "in", "Portland", ",", "Oregon", "?" ]

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

[ "South", "San", "Francisco", ",", "CA", "steak" ]

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

[ "best", "rated", "BlackRock", "in", "San", "Francisco", ",", "CA" ]

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

[ "goulash", "MT" ]

[ 0, 7 ]

[ "Affordable", "buffet", "restaurants", "in", "Amarillo", ",", "TX" ]

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

[ "get", "-", "togethe", "in", "South", "Jordan" ]

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

[ "hamburgers", "Huntington", "Beach", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "best", "sushi", "in", "Rocky", "Mount", "NC" ]

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

[ "Top", "-", "rated", "seafood", "restaurants", "in", "Washington", ",", "DC" ]

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

[ "locations", "of", "Plano", "Technology", "Solutions", "in", "Rhode", "Island" ]

[ 0, 0, 3, 4, 4, 0, 7, 8 ]

[ "top", "hotels", "in", "ftw" ]

[ 0, 0, 0, 5 ]

[ "How", "to", "sync", "e", "-", "reader", "with", "my", "phone", "?" ]

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

[ "roof", "repair", "near", "atlanta" ]

[ 0, 0, 0, 5 ]

[ "top", "-", "rated", "roof", "repair", "Jackson", "Heights", ",", "NY" ]

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

[ "sandwiches", "Abington", ",", "Pennsylvania" ]

[ 0, 9, 10, 10 ]

[ "coffee", "near", "me", "Davie" ]

[ 0, 0, 0, 5 ]

[ "Rowlett", "TX", "breakfast", "food" ]

[ 9, 10, 0, 0 ]

[ "nearest", "branch", "of", "Raleigh", "-", "Durham", "International", "Airport", "in", "Columbus" ]

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

[ "pork", "ribs", "Brightwatch" ]

[ 0, 0, 0 ]

[ "seafood", "Midland", ",", "TX" ]

[ 0, 9, 10, 10 ]

[ "What", "are", "the", "most", "famous", "Japanese", "restaurants", "in", "Deer", "Valley", "AZ", "?" ]

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

[ "Pico", "Rivera", "temperature" ]

[ 5, 6, 0 ]

[ "best", "rated", "Detroit", "Manufacturing", "Hub", "in", "Seattle", "WA" ]

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

[ "San", "Rafael", ",", "CA", "pasta" ]

[ 9, 10, 10, 10, 0 ]

[ "steak", "Redwood", "City", ",", "California" ]

[ 0, 9, 10, 10, 10 ]

[ "lawyers", "in", "San", "Antonio", ",", "TX" ]

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

[ "does", "Buffalo", "Sabres", "Hockey", "Team", "offer", "roof", "repair", "in", "Jacksonville", ",", "FL", "?" ]

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

[ "who", "are", "the", "top", "doctors", "in", "Asheville", "NC", "?" ]

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

[ "Thornvale", "malai", "kofta" ]

[ 0, 0, 0 ]

[ "poke", "bowl", "near", "me", "Alhambra" ]

[ 0, 0, 0, 0, 5 ]

[ "pharmacies", "Round", "Rock", ",", "TX" ]

[ 0, 9, 10, 10, 10 ]

[ "fried", "chicken", "Silver", "Spring", ",", "MD" ]

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

[ "Universal", "City", ",", "CA", "noodles" ]

[ 9, 10, 10, 10, 0 ]

[ "Affordable", "pizzerias", "in", "Portsmouth", ",", "Virginia" ]

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

[ "breakfast", "food", "Santa", "Rosa", ",", "CA" ]

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

[ "emergency", "services", "Newark" ]

[ 0, 0, 5 ]

[ "WR", "breakfast", "food" ]

[ 0, 0, 0 ]

[ "find", "top", "-", "rated", "hospitals", "in", "Paterson", ",", "New", "Jersey" ]

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

[ "Bloomington", ",", "IN", "temperature" ]

[ 9, 10, 10, 0 ]

[ "tacos", "in", "TN" ]

[ 0, 0, 7 ]

[ "brunch", "Brookline", ",", "MA" ]

[ 0, 9, 10, 10 ]

[ "kimchi", "PA" ]

[ 0, 7 ]

[ "New", "York", "City", "hot", "dogs" ]

[ 5, 6, 6, 0, 0 ]

[ "Hialeah", ",", "Florida", "sandwiches" ]

[ 9, 10, 10, 0 ]

[ "home", "maintenance", "services", "in", "Pontiac", "MI" ]

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

[ "fondue", "Dallas" ]

[ 0, 5 ]

[ "Lafayette", ",", "Louisiana", "pizza" ]

[ 9, 10, 10, 0 ]

[ "milkshakes", "KS" ]

[ 0, 7 ]

[ "best", "sushi", "in", "Round", "Rock", ",", "TX" ]

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

[ "parks", "in", "Hesperia", "CA" ]

[ 0, 0, 9, 10 ]

[ "Top", "-", "rated", "Mexican", "restaurants", "in", "Bushwick", ",", "NY" ]

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

[ "JV", "plantains" ]

[ 0, 0 ]

[ "sushi", "elk", "grove" ]

[ 0, 5, 6 ]

[ "salads", "Tucson", ",", "Arizona" ]

[ 0, 9, 10, 10 ]

[ "darts", "game", "time" ]

[ 0, 0, 0 ]