Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 263

[ "FG", "clam", "chowder" ]

[ 0, 0, 0 ]

[ "emergency", "services", "abilene" ]

[ 0, 0, 5 ]

[ "Novartis", "in", "Anchorage", ",", "Alaska" ]

[ 3, 0, 9, 10, 10 ]

[ "emergency", "services", "Yakima" ]

[ 0, 0, 5 ]

[ "ramen", "places", "in", "portland" ]

[ 0, 0, 0, 5 ]

[ "Paramount", "Pictures", "in", "Washington", ",", "DC" ]

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

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

[ "places", "to", "visit", "in", "Metairie", "Terrace" ]

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

[ "Where", "to", "eat", "meatballs", "in", "Portland", ",", "OR", "?" ]

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

[ "does", "Zazie", "Beetz", "live", "in", "New", "Orlean" ]

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

[ "emergency", "services", "The", "Villages" ]

[ 0, 0, 5, 6 ]

[ "What", "are", "the", "most", "famous", "steakhouses", "in", "Surprise", ",", "Arizona", "?" ]

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[ "Top", "smoothies", "restaurants", "in", "Cary", "NC", "this", "weekend" ]

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[ "hours", "of", "Pittsburgh", "Steelers", "Football", "Team", "in", "Tacoma" ]

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

[ "seafood", "Waterford", ",", "Michigan" ]

[ 0, 9, 10, 10 ]

[ "Affordable", "steakhouses", "in", "Riverside", "CA" ]

[ 0, 0, 0, 9, 10 ]

[ "Best", "buffet", "restaurants", "in", "Dallas", ",", "TX" ]

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[ "home", "improvement", "services", "Eugene", "OR" ]

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[ "Is", "Nathan", "Lee", "available", "for", "an", "appointment", "in", "woodland", "hills", "?" ]

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[ "nachos", "Stonepeak" ]

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[ "ramen", "Kent", ",", "WA" ]

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[ "Washington", "DC", "Development", "in", "Hialeah", ",", "FL" ]

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[ "twiggle" ]

[ 0 ]

[ "strudel", "los", "angeles" ]

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[ "Popular", "soups", "places", "in", "Maple", "Grove", ",", "MN" ]

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[ "soups", "Fort", "Lauderdale", "FL" ]

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[ "noodles", "Surprise", ",", "Arizona" ]

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[ "parks", "in", "Sparks", ",", "Nevada" ]

[ 0, 0, 9, 10, 10 ]

[ "who", "are", "the", "top", "doctors", "in", "Vallejo", ",", "CA", "?" ]

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

[ "tacos", "West", "Des", "Moines", "IA" ]

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[ "Does", "Michelle", "Garcia", "have", "a", "speech", "in", "Los", "Angeles", ",", "CA", "?" ]

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[ "Kindlemark", "fondue" ]

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[ "doctor", "Rogers", "Park", ",", "IL" ]

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[ "pancakes", "in", "Velvet", "Ridge" ]

[ 0, 0, 0, 0 ]

[ "emergency", "services", "ida" ]

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[ "North", "Hollywood", ",", "CA", "brunch" ]

[ 9, 10, 10, 10, 0 ]

[ "does", "Tucson", "Medical", "Center", "offer", "roof", "repair", "in", "Dallas", ",", "TX", "?" ]

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

[ "plumbing", "services", "in", "Springdale", "AR" ]

[ 0, 0, 0, 9, 10 ]

[ "Can", "I", "meet", "Jonathan", "Young", "in", "Union", "City", "CA", "?" ]

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

[ "Is", "Heather", "Harris", "available", "for", "an", "appointment", "in", "Abington", "?" ]

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[ "workout", "in", "hhr" ]

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[ "hiking", "trails", "ahwatukee", "foothills" ]

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[ "pharmacies", "in", "New", "York" ]

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[ "arepas", "Oasis", "Ridge" ]

[ 0, 0, 0 ]

[ "does", "Modesto", "Junior", "College", "offer", "roof", "repair", "in", "Deer", "Valley", "AZ", "?" ]

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

[ "Where", "to", "eat", "calamari", "in", "Santa", "Cruz", ",", "California", "?" ]

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

[ "home", "improvement", "contractors", "near", "Mobile", "AL" ]

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

[ "sandwiches", "FB" ]

[ 0, 0 ]

[ "chili", "in", "VW" ]

[ 0, 0, 0 ]

[ "does", "Seattle", "Software", "Hub", "operate", "in", "Grand", "Forks", ",", "North", "Dakota", "?" ]

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

[ "Affordable", "Italian", "restaurants", "in", "West", "Raleigh", ",", "NC" ]

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[ "Glade", "Ridge", "stuffed", "crust", "pizza" ]

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[ "pasta", "Akron", ",", "OH" ]

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[ "can", "I", "book", "a", "doctor", "appointment", "at", "Ernst", "&", "Young", "in", "Massachusetts", "?" ]

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[ "can", "I", "book", "a", "doctor", "appointment", "at", "Salt", "Lake", "City", "Ballet", "in", "Maine", "?" ]

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[ "best", "rated", "Chesapeake", "Data", "Systems", "in", "Pembroke", "Pines", ",", "Florida" ]

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[ "nurse", "Oklahoma", "City" ]

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[ "fondue", "in", "Los", "Angele" ]

[ 0, 0, 5, 6 ]

[ "chili", "in", "Silvercrown" ]

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[ "Lubbock", "TX", "ramen" ]

[ 9, 10, 0 ]

[ "Ravendale", "pork", "ribs" ]

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[ "restaurants", "near", "me", "smo" ]

[ 0, 0, 0, 5 ]

[ "what", "'", "s", "the", "weather", "forecast", "for", "Rock", "Hill", "?" ]

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[ "best", "rated", "Mesa", "Public", "Schools", "in", "Joplin", ",", "Missouri" ]

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[ "falafel", "in", "spokane" ]

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[ "yakitori", "Umbra", "Vale" ]

[ 0, 0, 0 ]

[ "Popular", "coffee", "dishes", "in", "the", "USA" ]

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[ "best", "pier", "in", "Anaheim" ]

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[ "smoothies", "in", "Blossom", "Creek" ]

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

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[ "Does", "LeBron", "James", "have", "a", "speech", "in", "Dallas", "TX", "?" ]

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[ "fried", "chicken", "Green", "Bay", ",", "WI" ]

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[ "coffee", "near", "me", "bwi" ]

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[ "Best", "upgrades", "for", "Mazda", "CX", "-", "5" ]

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[ "pharmacies", "Charleston", ",", "South", "Carolina" ]

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[ "top", "hotels", "in", "Clovis", "CA" ]

[ 0, 0, 0, 9, 10 ]

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

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[ "Atlanta", "guacamole" ]

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[ "locations", "of", "University", "of", "Chicago", "in", "Colorado" ]

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[ "french", "fries", "Milwaukee" ]

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[ "Johns", "Hopkins", "University", "in", "Visalia", ",", "CA" ]

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[ "top", "-", "rated", "movie", "theaters", "in", "Brownsville", "TX" ]

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[ "current", "weather", "East", "Chattanooga" ]

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[ "breakfast", "near", "me", "Baltimore" ]

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[ "gnocchi", "JV" ]

[ 0, 0 ]

[ "Popular", "croissants", "places", "in", "Dallas", ",", "TX" ]

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

[ "hospital", "West", "Allis", ",", "WI" ]

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[ "ice", "cream", "Toledo", "OH" ]

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[ "does", "Jersey", "City", "Financial", "Group", "provide", "home", "repair", "services", "in", "Staten", "Island", "?" ]

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[ "Nevada", "cheesecake" ]

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[ "pasta", "Daly", "City", ",", "California" ]

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[ "contact", "Santa", "Ana", "Healthcare", "Services", "in", "Memphis" ]

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[ "best", "restaurants", "washington", "d", ".", "c", "." ]

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

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[ "roof", "repair", "specialists", "in", "mod" ]

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[ "croquettes", "in", "Ironpeak" ]

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[ "Popular", "galbi", "dishes", "in", "the", "USA" ]

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[ "electrician", "gtf" ]

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[ "Florence", "-", "Graham", ",", "CA", "pasta" ]

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