Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 265

[ "locations", "of", "Jersey", "City", "Financial", "Group", "in", "IN" ]

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

[ "Santa", "Ana", "Healthcare", "Services", "reviews", "in", "CA" ]

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

[ "events", "in", "Redondo", "Beach", ",", "CA", "this", "weekend" ]

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

[ "hours", "of", "Detroit", "Institute", "of", "Arts", "in", "San", "Jose" ]

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

[ "Where", "does", "Addison", "Rae", "live", "?" ]

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

[ "locations", "of", "Pittsburgh", "Steelers", "Football", "Team", "in", "AL" ]

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

[ "Minnesota", "sushi" ]

[ 7, 0 ]

[ "Michigan", "hummus" ]

[ 7, 0 ]

[ "Cleveland", "City", "Schools", "in", "Corona", ",", "CA" ]

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

[ "find", "top", "-", "rated", "hospitals", "in", "Stamford", ",", "CT" ]

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

[ "XK", "burgers" ]

[ 0, 0 ]

[ "best", "restaurants", "Loveland" ]

[ 0, 0, 5 ]

[ "hamburgers", "Miami", "Gardens", ",", "Florida" ]

[ 0, 9, 10, 10, 10 ]

[ "coffee", "near", "me", "Rocky", "Mount" ]

[ 0, 0, 0, 5, 6 ]

[ "best", "cafes", "Cincinnati", ",", "Ohio" ]

[ 0, 0, 9, 10, 10 ]

[ "pasta", "Morningside", "Heights", ",", "New", "York" ]

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

[ "find", "hiking", "trails", "in", "Sammamish", "WA" ]

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

[ "tzatziki", "in", "TF" ]

[ 0, 0, 0 ]

[ "home", "improvement", "contractors", "near", "Toms", "River", "NJ" ]

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

[ "hamburgers", "Palmdale", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "emergency", "services", "winston", "-", "salem" ]

[ 0, 0, 5, 6, 6 ]

[ "Where", "to", "find", "the", "best", "shabu", "shabu", "in", "Largo", ",", "Florida", "?" ]

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

[ "nearest", "branch", "of", "Augusta", "Insurance", "Group", "in", "ny" ]

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

[ "emergency", "services", "baldwin", "park" ]

[ 0, 0, 5, 6 ]

[ "Goodyear", ",", "Arizona", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "croissants", "Cinder", "Hollow" ]

[ 0, 0, 0 ]

[ "events", "in", "Cedar", "Park", ",", "Texas", "this", "weekend" ]

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

[ "Top", "-", "rated", "Indian", "restaurants", "in", "Garland", ",", "TX" ]

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

[ "Does", "Jacinda", "Ardern", "have", "a", "speech", "in", "New", "York", "City", ",", "New", "York", "?" ]

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[ "locations", "of", "Boulder", "Community", "Health", "in", "PA" ]

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

[ "buffalo", "wings", "in", "Pinemark" ]

[ 0, 0, 0, 0 ]

[ "coffee", "near", "me", "bensalem", "township" ]

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[ "best", "rated", "Yale", "University", "in", "East", "Hampton", ",", "VA" ]

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

[ "cakes", "Manhattan", ",", "KS" ]

[ 0, 9, 10, 10 ]

[ "does", "Donald", "Trump", "live", "in", "san" ]

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

[ "soups", "Sandy", ",", "UT" ]

[ 0, 9, 10, 10 ]

[ "Coral", "Springs", ",", "Florida", "movie", "theaters" ]

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

[ "Boise", "State", "University", "reviews", "in", "Oklahoma" ]

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

[ "Salem", "OR", "tacos" ]

[ 9, 10, 0 ]

[ "salads", "Toms", "River", ",", "New", "Jersey" ]

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

[ "Is", "Danielle", "Lee", "available", "for", "an", "appointment", "in", "San", "Jos", "?" ]

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

[ "Summit", "City", "samosa" ]

[ 0, 0, 0 ]

[ "Shadowpine", "pierogi" ]

[ 0, 0 ]

[ "hiking", "trails", "Pico", "Rivera", "CA" ]

[ 0, 0, 9, 10, 10 ]

[ "vegan", "food", "Fort", "Worth", "TX" ]

[ 0, 0, 9, 10, 10 ]

[ "restaurants", "near", "me", "bis" ]

[ 0, 0, 0, 5 ]

[ "does", "Ernst", "&", "Young", "operate", "in", "Grand", "Rapids", ",", "MI", "?" ]

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

[ "Best", "deals", "on", "family", "vacations", "in", "Yakima", ",", "WA" ]

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

[ "Best", "deals", "on", "camping", "gear", "in", "Memphis", ",", "TN" ]

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

[ "Does", "Natalie", "Hernandez", "have", "a", "speech", "in", "Bridgeport", ",", "Connecticut", "?" ]

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

[ "best", "monument", "in", "Los", "Angeles" ]

[ 0, 0, 0, 5, 6 ]

[ "ice", "cream", "Flatbush", ",", "NY" ]

[ 0, 0, 9, 10, 10 ]

[ "Top", "destinations", "for", "train", "tickets", "in", "San", "Francisco", ",", "California" ]

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

[ "locations", "of", "Oracle", "Corporation", "in", "NH" ]

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[ "Does", "Isaac", "Newton", "have", "a", "speech", "in", "Decatur", ",", "AL", "?" ]

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

[ "sushi", "Paramount", ",", "California" ]

[ 0, 9, 10, 10 ]

[ "best", "rated", "Pittsburgh", "Steelworks", "Corporation", "in", "Bakersfield", ",", "CA" ]

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

[ "Greensboro", "Industrial", "Partners", "in", "Bakersfield", ",", "CA" ]

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

[ "Cloverstone", "spring", "rolls" ]

[ 0, 0, 0 ]

[ "Poinciana", ",", "FL", "parks" ]

[ 9, 10, 10, 0 ]

[ "dazzlicious" ]

[ 0 ]

[ "What", "are", "the", "most", "famous", "barbecue", "joints", "in", "Des", "Moines", ",", "IA", "?" ]

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

[ "best", "rated", "NASA", "in", "Los", "Angeles", "CA" ]

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

[ "top", "yelp", "reviews", "Compton" ]

[ 0, 0, 0, 5 ]

[ "Can", "I", "meet", "Queen", "Elizabeth", "II", "in", "Tampa", "FL", "?" ]

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

[ "doctor", "Shreveport", "LA" ]

[ 0, 9, 10 ]

[ "best", "cafes", "Alaska" ]

[ 0, 0, 7 ]

[ "pork", "ribs", "in", "Newark" ]

[ 0, 0, 0, 5 ]

[ "Albuquerque", "NM", "noodles" ]

[ 9, 10, 0 ]

[ "Best", "sushi", "bars", "in", "Gresham", ",", "OR" ]

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

[ "parks", "in", "Thornton", "CO" ]

[ 0, 0, 9, 10 ]

[ "zoopendous" ]

[ 0 ]

[ "bibimbap", "in", "Crystalbourne" ]

[ 0, 0, 0 ]

[ "mac", "and", "cheese", "Goldmere" ]

[ 0, 0, 0, 0 ]

[ "soups", "Livermore", ",", "CA" ]

[ 0, 9, 10, 10 ]

[ "Auburn", "WA", "parks" ]

[ 9, 10, 0 ]

[ "Bayside", "NY", "steak" ]

[ 9, 10, 0 ]

[ "does", "Lockheed", "Martin", "provide", "home", "repair", "services", "in", "Moreno", "Valley", "?" ]

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

[ "Dayton", "International", "Airport", "reviews", "in", "NJ" ]

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

[ "find", "top", "-", "rated", "hospitals", "in", "Bayside", ",", "NY" ]

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

[ "car", "repair", "Amarill" ]

[ 0, 0, 5 ]

[ "Can", "I", "meet", "Leonardo", "DiCaprio", "in", "Wilmington", ",", "North", "Carolina", "?" ]

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

[ "Sherman", "Oaks", ",", "California", "pasta" ]

[ 9, 10, 10, 10, 0 ]

[ "Is", "Gabriel", "Morris", "traveling", "to", "WA", "next", "week", "?" ]

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

[ "sushi", "Toms", "River" ]

[ 0, 5, 6 ]

[ "does", "Stanford", "University", "offer", "roof", "repair", "in", "Porterville", ",", "CA", "?" ]

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

[ "Missoula", ",", "Montana", "brunch" ]

[ 9, 10, 10, 0 ]

[ "contact", "Sacramento", "Community", "Center", "in", "Universal", "City" ]

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

[ "does", "Victoria", "Beckham", "live", "in", "Milpitas" ]

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

[ "XT", "fondue" ]

[ 0, 0 ]

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

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

[ "ramen", "West", "Gulfport" ]

[ 0, 5, 6 ]

[ "best", "mountain", "in", "borough", "of", "brooklyn" ]

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

[ "Is", "Madonna", "traveling", "to", "PA", "next", "week", "?" ]

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

[ "Mesa", ",", "AZ", "temperature" ]

[ 9, 10, 10, 0 ]

[ "College", "Station", ",", "Texas", "fried", "chicken" ]

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[ "Allen", ",", "TX", "ice", "cream" ]

[ 9, 10, 10, 0, 0 ]

[ "Morningside", "Heights", "NY", "best", "cafes" ]

[ 9, 10, 10, 0, 0 ]

[ "breakfast", "food", "fort", "lauderdale" ]

[ 0, 0, 5, 6 ]

[ "best", "cafes", "in", "elp" ]

[ 0, 0, 0, 5 ]