Datasets:
Mozilla
/
smart_ner_dataset

Dataset card Data Studio Files Community
2
tokens
sequencelengths
1
19
ner_tags
sequencelengths
1
19
id
int64
0
450k
[ "calamari", "in", "NX" ]
[ 0, 0, 0 ]
384,009
[ "best", "rated", "Colorado", "Springs", "Health", "Institute", "in", "Mesa", ",", "Arizona" ]
[ 0, 0, 3, 4, 4, 4, 0, 9, 10, 10 ]
341,746
[ "real", "estate", "agents", "Garlan" ]
[ 0, 0, 0, 5 ]
159,478
[ "doctor", "Sugar", "Land" ]
[ 0, 5, 6 ]
357,938
[ "hospital", "East", "Harle" ]
[ 0, 5, 6 ]
114,666
[ "St", ".", "Petersburg", ",", "Florida", "hamburgers" ]
[ 9, 10, 10, 10, 10, 0 ]
222,277
[ "Salem", "OR", "burgers" ]
[ 9, 10, 0 ]
80,596
[ "Is", "Elton", "John", "available", "for", "an", "appointment", "in", "Victorville", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
115,093
[ "ramen", "Des", "Plaines", ",", "Illinois" ]
[ 0, 9, 10, 10, 10 ]
287,282
[ "sandwiches", "Skokie", ",", "IL" ]
[ 0, 9, 10, 10 ]
9,947
[ "does", "Washington", "DC", "Development", "offer", "roof", "repair", "in", "Austin", ",", "TX", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
312,779
[ "plumber", "Lincoln", "Park", "IL" ]
[ 0, 9, 10, 10 ]
188,179
[ "movie", "theaters", "Newport", "Beach" ]
[ 0, 0, 5, 6 ]
256,022
[ "Fall", "River", "MA", "tacos" ]
[ 9, 10, 10, 0 ]
401,718
[ "home", "services", "Santa", "An" ]
[ 0, 0, 5, 6 ]
21,039
[ "Is", "Tiffany", "Henderson", "traveling", "to", "MT", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
317,314
[ "San", "Jose", ",", "CA", "seafood" ]
[ 9, 10, 10, 10, 0 ]
115,393
[ "burgers", "Las", "Cruces", ",", "NM" ]
[ 0, 9, 10, 10, 10 ]
252,240
[ "Nightingale", "Ridge", "steak" ]
[ 0, 0, 0 ]
404,158
[ "What", "are", "the", "most", "famous", "diner", "in", "Athens", ",", "Georgia", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
435,242
[ "physio", "therapy", "Bellingham", ",", "WA" ]
[ 0, 0, 9, 10, 10 ]
122,260
[ "gyms", "in", "beaverton" ]
[ 0, 0, 5 ]
135,907
[ "korean", "barbecue", "Shadowreach" ]
[ 0, 0, 0 ]
387,596
[ "Boynton", "Beach", "FL", "movie", "theaters" ]
[ 9, 10, 10, 0, 0 ]
191,099
[ "best", "rated", "SpaceX", "in", "Corvallis", ",", "OR" ]
[ 0, 0, 3, 0, 9, 10, 10 ]
379,976
[ "Where", "to", "find", "the", "best", "roti", "in", "Irvine", ",", "California", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
405,383
[ "contact", "Fremont", "High", "School", "in", "Houston" ]
[ 0, 3, 4, 4, 0, 5 ]
414,493
[ "pierogi", "in", "Sunset", "City" ]
[ 0, 0, 0, 0 ]
255,177
[ "Grand", "Rapids", "MI", "salads" ]
[ 9, 10, 10, 0 ]
341,339
[ "plumber", "Clarksville", "TN" ]
[ 0, 9, 10 ]
54,172
[ "local", "electricians", "in", "Beaverton", ",", "OR" ]
[ 0, 0, 0, 9, 10, 10 ]
133,903
[ "contact", "Sony", "Corporation", "in", "Santa", "Fe" ]
[ 0, 3, 4, 0, 5, 6 ]
210,472
[ "coffee", "near", "me", "Methuen" ]
[ 0, 0, 0, 5 ]
89,581
[ "ice", "cream", "Lafayette", ",", "LA" ]
[ 0, 0, 9, 10, 10 ]
108,105
[ "Is", "Danielle", "Lee", "traveling", "to", "FL", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
397,905
[ "ramen", "Clifton", ",", "NJ" ]
[ 0, 9, 10, 10 ]
236,756
[ "Where", "to", "find", "the", "best", "coffee", "in", "Parsippany", ",", "NJ", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
308,587
[ "Is", "Michelle", "Obama", "traveling", "to", "Washington", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
98,868
[ "best", "cafes", "in", "fort", "smith" ]
[ 0, 0, 0, 5, 6 ]
231,621
[ "frozen", "yogurt", "Ashfield" ]
[ 0, 0, 0 ]
266,992
[ "pho", "in", "GH" ]
[ 0, 0, 0 ]
84,042
[ "plumbing", "services", "in", "New", "South", "Memphis", ",", "TN" ]
[ 0, 0, 0, 9, 10, 10, 10, 10 ]
16,246
[ "tzatziki", "Keystone", "Ridge" ]
[ 0, 0, 0 ]
179,907
[ "emergency", "services", "Shelby", ",", "Michigan" ]
[ 0, 0, 9, 10, 10 ]
170,815
[ "BM", "milkshakes" ]
[ 0, 0 ]
323,840
[ "pizza", "Camden", "NJ" ]
[ 0, 9, 10 ]
234,589
[ "pharmacies", "Fordham", "NY" ]
[ 0, 9, 10 ]
285,328
[ "naan", "in", "Nobleshore" ]
[ 0, 0, 0 ]
47,947
[ "MX", "cakes" ]
[ 0, 0 ]
197,791
[ "Best", "deals", "on", "last", "-", "minute", "deals", "in", "Ironville", ",", "KY" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
302,309
[ "seafood", "Surprise", "AZ" ]
[ 0, 9, 10 ]
168,366
[ "Top", "destinations", "for", "hotels", "in", "Saint", "Paul", ",", "MN" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
360,024
[ "fettuccine", "alfredo", "in", "Drift", "City" ]
[ 0, 0, 0, 0, 0 ]
27,177
[ "nearest", "branch", "of", "Philadelphia", "Law", "Firm", "in", "miami", "gardens" ]
[ 0, 0, 0, 3, 4, 4, 0, 5, 6 ]
445,042
[ "Lancaster", ",", "California", "sushi" ]
[ 9, 10, 10, 0 ]
215,775
[ "LM", "waffles" ]
[ 0, 0 ]
148,643
[ "clam", "chowder", "Peridot", "Bay" ]
[ 0, 0, 0, 0 ]
100,837
[ "roof", "repair", "near", "Poway" ]
[ 0, 0, 0, 5 ]
115,605
[ "does", "Stanford", "University", "provide", "home", "repair", "services", "in", "Los", "Angeles", "?" ]
[ 0, 3, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
310,268
[ "nurse", "Dayton" ]
[ 0, 5 ]
409,397
[ "plantains", "Dawnhaven" ]
[ 0, 0 ]
321,955
[ "Driftmoor", "schnitzel" ]
[ 0, 0 ]
177,546
[ "nurse", "Diamond", "Bar" ]
[ 0, 5, 6 ]
117,500
[ "plumber", "Victoria", ",", "Texas" ]
[ 0, 9, 10, 10 ]
323,511
[ "bao", "buns", "Wisconsin" ]
[ 0, 0, 7 ]
384,231
[ "top", "yelp", "reviews", "Salt", "Lake", "City" ]
[ 0, 0, 0, 5, 6, 6 ]
257,216
[ "does", "Miami", "International", "Airport", "provide", "home", "repair", "services", "in", "Philadelphia", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
258,764
[ "Does", "Nicholas", "White", "have", "a", "speech", "in", "Highlands", "Ranch", "CO", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
257,725
[ "drizzler" ]
[ 0 ]
1,891
[ "Where", "to", "find", "the", "best", "tempura", "in", "Waterbury", ",", "CT", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
414,687
[ "Rancho", "Cucamonga", "CA", "seafood" ]
[ 9, 10, 10, 0 ]
100,077
[ "find", "top", "-", "rated", "hospitals", "in", "Belmont", "Cragin", ",", "IL" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
329,630
[ "dim", "sum", "Nobleshore" ]
[ 0, 0, 0 ]
127,384
[ "emergency", "services", "Pasadena", ",", "TX" ]
[ 0, 0, 9, 10, 10 ]
73,407
[ "Does", "Jeff", "Bezos", "have", "a", "speech", "in", "San", "Francisco", ",", "CA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
188,984
[ "Huntington", "Beach", ",", "CA", "soups" ]
[ 9, 10, 10, 10, 0 ]
66,645
[ "Fumio", "Kishida", "diet" ]
[ 1, 2, 0 ]
25,383
[ "Bridgeport", "CT", "ice", "cream" ]
[ 9, 10, 0, 0 ]
340,475
[ "home", "services", "Providence" ]
[ 0, 0, 5 ]
17,725
[ "locations", "of", "Huntsville", "Rocket", "Technologies", "in", "Nevada" ]
[ 0, 0, 3, 4, 4, 0, 7 ]
376,425
[ "steak", "Van", "Nuys", ",", "California" ]
[ 0, 9, 10, 10, 10 ]
163,365
[ "Bluehaven", "quesadillas" ]
[ 0, 0 ]
238,106
[ "Where", "to", "eat", "schnitzel", "in", "Dothan", ",", "AL", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
209,705
[ "Orlando", ",", "FL", "seafood" ]
[ 9, 10, 10, 0 ]
71,234
[ "weather", "Manteca", ",", "CA" ]
[ 0, 9, 10, 10 ]
207,238
[ "waffles", "san", "angelo" ]
[ 0, 5, 6 ]
171,682
[ "ramen", "East", "Hampton" ]
[ 0, 5, 6 ]
246,005
[ "best", "cafes", "Dallas", "TX" ]
[ 0, 0, 9, 10 ]
42,997
[ "McAllen", ",", "TX", "best", "cafes" ]
[ 9, 10, 10, 0, 0 ]
146,984
[ "pizza", "Wichit" ]
[ 0, 5 ]
212,042
[ "breakfast", "near", "me", "Charlotte" ]
[ 0, 0, 0, 5 ]
8,147
[ "does", "Melania", "Trump", "live", "in", "gnv" ]
[ 0, 1, 2, 0, 0, 5 ]
285,386
[ "What", "are", "the", "most", "famous", "cafes", "in", "Fort", "Smith", ",", "AR", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
374,767
[ "coffee", "near", "me", "Syracuse" ]
[ 0, 0, 0, 5 ]
61,062
[ "brunch", "West", "Town", ",", "Illinois" ]
[ 0, 9, 10, 10, 10 ]
45,173
[ "Top", "destinations", "for", "ski", "trips", "in", "Bellevue", "WA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10 ]
428,946
[ "top", "yelp", "reviews", "greenville" ]
[ 0, 0, 0, 5 ]
25,527
[ "seafood", "New", "Orleans", ",", "LA" ]
[ 0, 9, 10, 10, 10 ]
107,692
[ "movie", "theaters", "lyh" ]
[ 0, 0, 5 ]
386,375
[ "hours", "of", "Raleigh", "Research", "Institute", "in", "Kirkland" ]
[ 0, 0, 3, 4, 4, 0, 5 ]
297,842