Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 267

[ "nurse", "fountain", "valley" ]

[ 0, 5, 6 ]

[ "burgers", "in", "Dover", "Hollow" ]

[ 0, 0, 0, 0 ]

[ "does", "Zlatan", "Ibrahimović", "live", "in", "Brooklyn" ]

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[ "Is", "Martin", "Luther", "King", "Jr", ".", "available", "for", "an", "appointment", "in", "Gary", "?" ]

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[ "Jonesboro", ",", "AR", "temperature" ]

[ 9, 10, 10, 0 ]

[ "Warren", "temperature" ]

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[ "cakes", "Springfield", ",", "OR" ]

[ 0, 9, 10, 10 ]

[ "pancakes", "XL" ]

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[ "gyms", "in", "denver" ]

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[ "desserts", "near", "me", "Columbus" ]

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[ "CZ", "pork", "ribs" ]

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[ "croquettes", "in", "Storm", "City" ]

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[ "best", "rated", "Albuquerque", "Electronics", "Company", "in", "Lowell", ",", "MA" ]

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[ "Nashville", "Business", "Enterprises", "in", "Arlington", ",", "TX" ]

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

[ "does", "Milwaukee", "Industrial", "Solutions", "provide", "home", "repair", "services", "in", "San", "Francisco", "?" ]

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[ "best", "stadium", "in", "Centrevill" ]

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[ "movie", "theaters", "wheaton" ]

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[ "West", "Hartford", ",", "CT", "soups" ]

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[ "Oakenshire", "chimichurri", "steak" ]

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[ "Is", "Will", "Smith", "traveling", "to", "Rhode", "Island", "next", "week", "?" ]

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[ "waffles", "in", "Jade", "Ridge" ]

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[ "Opal", "Grove", "waffles" ]

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[ "Is", "Aiden", "Ross", "available", "for", "an", "appointment", "in", "Doral", "?" ]

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[ "roof", "repair", "Alexandria" ]

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[ "Hampton", ",", "Virginia", "noodles" ]

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[ "ratatouille", "Ridgefall" ]

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[ "roof", "repair", "clay" ]

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[ "top", "yelp", "reviews", "Meriden" ]

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[ "weather", "Chicopee", ",", "MA" ]

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[ "can", "I", "book", "a", "doctor", "appointment", "at", "Gilbert", "Transportation", "Group", "in", "WA", "?" ]

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[ "hospital", "Gaithersburg", ",", "Maryland" ]

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[ "does", "Dayton", "International", "Airport", "provide", "home", "repair", "services", "in", "Sacramento", "?" ]

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[ "plumber", "Portland", "ME" ]

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[ "Best", "deals", "on", "last", "-", "minute", "deals", "in", "Houston", "TX" ]

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[ "Bolingbrook", "IL", "ramen" ]

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[ "current", "weather", "West", "Lynchburg" ]

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[ "paneer", "in", "WR" ]

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[ "pasta", "Atlanta", ",", "Georgia" ]

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[ "top", "-", "rated", "roof", "repair", "Columbia", "MD" ]

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[ "roti", "LK" ]

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[ "home", "improvement", "contractors", "near", "Fort", "Lauderdale", "FL" ]

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[ "Is", "Katherine", "Kelly", "traveling", "to", "NE", "next", "week", "?" ]

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[ "best", "pizza", "near", "Ellicott", "City" ]

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[ "does", "Seattle", "Software", "Hub", "operate", "in", "Indianapolis", ",", "IN", "?" ]

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

[ "Where", "is", "Logan", "Hughes", "hosting", "an", "event", "?" ]

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[ "Evansville", "IN", "best", "cafes" ]

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[ "Does", "Bill", "Gates", "have", "a", "speech", "in", "Brooklyn", ",", "NY", "?" ]

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[ "contact", "AstraZeneca", "in", "Elk", "Grov" ]

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[ "top", "hotels", "in", "Chandle" ]

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[ "doctor", "Folsom", ",", "California" ]

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[ "does", "Winston", "-", "Salem", "Dash", "Baseball", "Team", "offer", "roof", "repair", "in", "Nashville", ",", "TN", "?" ]

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[ "hamburgers", "Kansas", "City", ",", "KS" ]

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[ "Can", "I", "meet", "Katy", "Perry", "in", "Sheepshead", "Bay", ",", "NY", "?" ]

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[ "Is", "Aiden", "Ross", "traveling", "to", "MD", "next", "week", "?" ]

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[ "hospital", "memphis" ]

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[ "Kent", "WA", "temperature" ]

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[ "ice", "cream", "Greeley", "CO" ]

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[ "roti", "in", "austin" ]

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[ "does", "Chandler", "Regional", "Medical", "Center", "operate", "in", "Duluth", ",", "Minnesota", "?" ]

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[ "home", "services", "in", "PA" ]

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[ "Best", "deals", "on", "luxury", "travel", "in", "Tri", "-", "Cities", ",", "WA" ]

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[ "sushi", "galveston" ]

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[ "hours", "of", "New", "York", "University", "in", "the", "bronx" ]

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[ "Does", "Aiden", "Ross", "have", "a", "speech", "in", "Laguna", "Niguel", ",", "CA", "?" ]

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[ "nearest", "branch", "of", "Yale", "University", "in", "Schaumburg" ]

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[ "best", "rated", "Toledo", "Museum", "of", "Art", "in", "Lorain", ",", "OH" ]

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[ "hospital", "cid" ]

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[ "exhib", "in", "East", "Los", "Angeles" ]

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[ "Kansas", "City", "MO", "pizza" ]

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