Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 250

[ "movie", "theaters", "West", "Raleigh", "NC" ]

[ 0, 0, 9, 10, 10 ]

[ "best", "pizza", "near", "Alpharetta" ]

[ 0, 0, 0, 5 ]

[ "Top", "destinations", "for", "train", "tickets", "in", "Baltimore", ",", "MD" ]

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

[ "pharmacies", "Bend", ",", "Oregon" ]

[ 0, 9, 10, 10 ]

[ "does", "Ford", "Motor", "Company", "operate", "in", "Manhattan", ",", "NY", "?" ]

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

[ "weather", "overland", "park" ]

[ 0, 5, 6 ]

[ "Can", "I", "meet", "Roger", "Williams", "in", "Santa", "Cruz", ",", "California", "?" ]

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

[ "coffee", "near", "me", "ptk" ]

[ 0, 0, 0, 5 ]

[ "florist", "Green", "Ba" ]

[ 0, 5, 6 ]

[ "doctor", "Warren" ]

[ 0, 5 ]

[ "parks", "Marysville", "WA" ]

[ 0, 9, 10 ]

[ "ratatouille", "Goldenreach" ]

[ 0, 0 ]

[ "JT", "miso", "soup" ]

[ 0, 0, 0 ]

[ "tamales", "XT" ]

[ 0, 0 ]

[ "FB", "sichuan", "chicken" ]

[ 0, 0, 0 ]

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

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

[ "pasta", "in", "IA" ]

[ 0, 0, 7 ]

[ "Buena", "Park", ",", "CA", "sandwiches" ]

[ 9, 10, 10, 10, 0 ]

[ "paneer", "Missouri" ]

[ 0, 7 ]

[ "Canyon", "Country", ",", "California", "cakes" ]

[ 9, 10, 10, 10, 0 ]

[ "Sherman", "Oaks", ",", "CA", "steak" ]

[ 9, 10, 10, 10, 0 ]

[ "Best", "Japanese", "restaurants", "in", "New", "York", "City", ",", "NY" ]

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

[ "Shadowpine", "gyros" ]

[ 0, 0 ]

[ "tacos", "Atlanta", ",", "Georgia" ]

[ 0, 9, 10, 10 ]

[ "Bonita", "Springs", ",", "Florida", "tacos" ]

[ 9, 10, 10, 10, 0 ]

[ "brunch", "Reno", "NV" ]

[ 0, 9, 10 ]

[ "kimchi", "in", "Jade", "Ridge" ]

[ 0, 0, 0, 0 ]

[ "Top", "-", "rated", "gastropubs", "in", "Moreno", "Valley", ",", "CA" ]

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

[ "Florence", "-", "Graham", ",", "California", "noodles" ]

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

[ "Top", "-", "rated", "pizzerias", "in", "Baltimore", ",", "MD" ]

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

[ "Hawthorne", ",", "CA", "movie", "theaters" ]

[ 9, 10, 10, 0, 0 ]

[ "does", "Virginia", "Beach", "Shipping", "operate", "in", "Fort", "Smith", ",", "AR", "?" ]

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

[ "hospital", "montgomery", "court", "house" ]

[ 0, 5, 6, 6 ]

[ "Affordable", "fast", "food", "chains", "in", "Santa", "Clarita", ",", "CA" ]

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

[ "plumbing", "services", "in", "White", "Plains", ",", "New", "York" ]

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

[ "Springfield", ",", "Oregon", "breakfast", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "movie", "theaters", "Mott", "Haven", ",", "NY" ]

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

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

[ 0, 0, 0, 0, 5 ]

[ "Glendale", "Unified", "School", "District", "in", "Midland", ",", "Texas" ]

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

[ "GW", "sandwiches" ]

[ 0, 0 ]

[ "Palm", "Harbor", "FL", "pharmacies" ]

[ 9, 10, 10, 0 ]

[ "Is", "Mason", "Hill", "traveling", "to", "OR", "next", "week", "?" ]

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

[ "hospital", "Waukesha", ",", "WI" ]

[ 0, 9, 10, 10 ]

[ "Does", "Nicholas", "White", "have", "a", "speech", "in", "Gilroy", ",", "CA", "?" ]

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

[ "best", "rated", "Salt", "Lake", "City", "Analytics", "in", "The", "Bronx", "NY" ]

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

[ "Does", "Taylor", "Swift", "have", "a", "speech", "in", "Lakewood", ",", "CO", "?" ]

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

[ "ramen", "Southaven", ",", "MS" ]

[ 0, 9, 10, 10 ]

[ "roof", "repair", "Atlanta" ]

[ 0, 0, 5 ]

[ "best", "rated", "San", "Francisco", "Opera", "in", "Dallas", ",", "TX" ]

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

[ "Is", "George", "King", "available", "for", "an", "appointment", "in", "Victorville", "?" ]

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

[ "Walmart", "Inc", ".", "in", "Albany", "GA" ]

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

[ "gnocchi", "in", "Austin" ]

[ 0, 0, 5 ]

[ "nearest", "branch", "of", "Shreveport", "Regional", "Airport", "in", "Kansas", "City" ]

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

[ "best", "rated", "Mobile", "Business", "Solutions", "in", "West", "Albany", ",", "NY" ]

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

[ "Dale", "City", "VA", "temperature" ]

[ 9, 10, 10, 0 ]

[ "Does", "Derek", "Williams", "have", "a", "speech", "in", "Reno", ",", "NV", "?" ]

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

[ "does", "Emmanuel", "Macron", "live", "in", "Omaha" ]

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

[ "Is", "Evan", "Phillips", "traveling", "to", "Kansas", "next", "week", "?" ]

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

[ "Clinton", "Township", ",", "MI", "hamburgers" ]

[ 9, 10, 10, 10, 0 ]

[ "florist", "Scranton" ]

[ 0, 5 ]

[ "ramen", "in", "Los", "Angeles" ]

[ 0, 0, 5, 6 ]

[ "desserts", "Cypress", "Vale" ]

[ 0, 0, 0 ]

[ "best", "palace", "in", "North", "Stamfor" ]

[ 0, 0, 0, 5, 6 ]

[ "BL", "poutine" ]

[ 0, 0 ]

[ "What", "are", "the", "most", "famous", "food", "trucks", "in", "Grand", "Forks", ",", "North", "Dakota", "?" ]

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

[ "florist", "Dale", "City" ]

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[ "Top", "teriyaki", "restaurants", "in", "Durham", ",", "NC", "this", "weekend" ]

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

[ "chili", "VR" ]

[ 0, 0 ]

[ "lasagna", "in", "alexandria" ]

[ 0, 0, 5 ]

[ "top", "-", "rated", "roof", "repair", "Port", "Charlotte", "FL" ]

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

[ "Top", "pizza", "restaurants", "in", "Rochester", ",", "New", "York", "this", "weekend" ]

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

[ "contact", "Greenville", "Technical", "College", "in", "Ironville" ]

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

[ "Willowfield", "laksa" ]

[ 0, 0 ]

[ "Brooklyn", ",", "New", "York", "temperature" ]

[ 9, 10, 10, 10, 0 ]

[ "lawyers", "in", "waterford" ]

[ 0, 0, 5 ]

[ "Best", "deals", "on", "all", "-", "inclusive", "resorts", "in", "Quincy", ",", "Massachusetts" ]

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

[ "hamburgers", "San", "Leandro", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "arepas", "in", "Mystic", "Vale" ]

[ 0, 0, 0, 0 ]

[ "Popular", "laksa", "places", "in", "Santa", "Fe", ",", "NM" ]

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

[ "weather", "forecast", "for", "Clay", "this", "weekend" ]

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

[ "Sacramento", "Community", "Center", "in", "Charlotte", ",", "North", "Carolina" ]

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

[ "Springdale", "AR", "hamburgers" ]

[ 9, 10, 0 ]

[ "does", "Howard", "Schultz", "live", "in", "New", "York", "City" ]

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

[ "can", "I", "book", "a", "doctor", "appointment", "at", "Knoxville", "Symphony", "Orchestra", "in", "MD", "?" ]

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

[ "Fresno", ",", "CA", "hamburgers" ]

[ 9, 10, 10, 0 ]

[ "hiking", "trails", "Ann", "Arbor" ]

[ 0, 0, 5, 6 ]

[ "soups", "Hamilton", "OH" ]

[ 0, 9, 10 ]

[ "sandwiches", "Corpus", "Christi", ",", "Texas" ]

[ 0, 9, 10, 10, 10 ]

[ "Best", "deals", "on", "flights", "in", "Little", "Rock", ",", "AR" ]

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

[ "lasagna", "in", "Oakbluff" ]

[ 0, 0, 0 ]

[ "does", "Hugo", "Weaving", "live", "in", "Flatbush" ]

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

[ "cakes", "East", "Village", ",", "NY" ]

[ 0, 9, 10, 10, 10 ]

[ "pharmacies", "Provo", ",", "Utah" ]

[ 0, 9, 10, 10 ]

[ "Yellowcove", "ice", "cream" ]

[ 0, 0, 0 ]

[ "burgers", "Santa", "Barbara", "CA" ]

[ 0, 9, 10, 10 ]

[ "Orlando", "FL", "burgers" ]

[ 9, 10, 0 ]

[ "pizza", "Miami", "FL" ]

[ 0, 9, 10 ]

[ "Where", "to", "eat", "jollof", "rice", "in", "Lawton", "OK", "?" ]

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

[ "Is", "Jennifer", "Lawrence", "traveling", "to", "Maryland", "next", "week", "?" ]

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

[ "home", "maintenance", "services", "in", "Concord", ",", "NC" ]

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