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
[ "Does", "Rafael", "Nadal", "have", "a", "speech", "in", "Paradise", ",", "NV", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
265,918
[ "weather", "Spokane" ]
[ 0, 5 ]
167,062
[ "Charlotte", "NC", "tacos" ]
[ 9, 10, 0 ]
342,429
[ "top", "yelp", "reviews", "lincoln" ]
[ 0, 0, 0, 5 ]
286,820
[ "sichuan", "chicken", "near", "me", "arvada" ]
[ 0, 0, 0, 0, 5 ]
265,742
[ "tacos", "Minneapolis", ",", "MN" ]
[ 0, 9, 10, 10 ]
81,180
[ "contact", "Kansas", "City", "Chiefs", "Football", "Team", "in", "ftw" ]
[ 0, 3, 4, 4, 4, 4, 0, 5 ]
318,754
[ "contact", "Detroit", "Institute", "of", "Arts", "in", "Richlan" ]
[ 0, 3, 4, 4, 4, 0, 5 ]
373,947
[ "Frostwood", "ramen" ]
[ 0, 0 ]
272,082
[ "real", "estate", "agents", "Harlinge" ]
[ 0, 0, 0, 5 ]
225,608
[ "Las", "Vegas", "Convention", "and", "Visitors", "Authority", "in", "New", "York", "City", ",", "New", "York" ]
[ 3, 4, 4, 4, 4, 4, 0, 9, 10, 10, 10, 10, 10 ]
375,938
[ "tacos", "Lakewood", ",", "CO" ]
[ 0, 9, 10, 10 ]
171,125
[ "onigiri", "near", "me", "New", "York", "Cit" ]
[ 0, 0, 0, 5, 6, 6 ]
405,318
[ "french", "fries", "in", "scranton" ]
[ 0, 0, 0, 5 ]
287,817
[ "crepes", "in", "Aspen", "Hollow" ]
[ 0, 0, 0, 0 ]
126,074
[ "does", "Scottsdale", "Real", "Estate", "Group", "operate", "in", "Davie", "FL", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 0 ]
181,449
[ "Doral", ",", "Florida", "noodles" ]
[ 9, 10, 10, 0 ]
84,722
[ "san", "marcos", "pork", "ribs" ]
[ 5, 6, 0, 0 ]
409,409
[ "Central", "City", "AZ", "tacos" ]
[ 9, 10, 10, 0 ]
357,773
[ "Where", "does", "Angela", "Bassett", "live", "?" ]
[ 0, 0, 1, 2, 0, 0 ]
104,529
[ "soups", "in", "Horizon", "Ridge" ]
[ 0, 0, 0, 0 ]
207,388
[ "soups", "Billings", ",", "Montana" ]
[ 0, 9, 10, 10 ]
349,920
[ "locations", "of", "Dayton", "International", "Airport", "in", "MT" ]
[ 0, 0, 3, 4, 4, 0, 7 ]
385,376
[ "restaurants", "near", "me", "Taylorsville" ]
[ 0, 0, 0, 5 ]
36,747
[ "Umbershade", "paneer" ]
[ 0, 0 ]
345,194
[ "chili", "in", "Longmont" ]
[ 0, 0, 5 ]
418,929
[ "Popular", "dim", "sum", "places", "in", "Alafaya", ",", "FL" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
430,138
[ "noodles", "Billings", "MT" ]
[ 0, 9, 10 ]
437,880
[ "ceviche", "in", "Mistwood" ]
[ 0, 0, 0 ]
436,993
[ "breakfast", "near", "me", "Toledo" ]
[ 0, 0, 0, 5 ]
78,055
[ "Is", "Justin", "Trudeau", "traveling", "to", "Arizona", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
61,847
[ "gyros", "LV" ]
[ 0, 0 ]
251,688
[ "desserts", "Elmfield" ]
[ 0, 0 ]
225,541
[ "weather", "New", "Orleans" ]
[ 0, 5, 6 ]
56,200
[ "Top", "destinations", "for", "flights", "in", "Des", "Moines", ",", "IA" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
430,953
[ "Haverhill", "MA", "burgers" ]
[ 9, 10, 0 ]
207,741
[ "Where", "to", "find", "the", "best", "calamari", "in", "Alameda", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
123,032
[ "pizza", "Huntington", "Beach" ]
[ 0, 5, 6 ]
186,279
[ "Is", "Albert", "Einstein", "available", "for", "an", "appointment", "in", "las", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
276,944
[ "coffee", "near", "me", "hammond" ]
[ 0, 0, 0, 5 ]
300,114
[ "roof", "repair", "near", "newton" ]
[ 0, 0, 0, 5 ]
105,943
[ "home", "improvement", "Carmel" ]
[ 0, 0, 5 ]
283,406
[ "souvlaki", "in", "Velvet", "City" ]
[ 0, 0, 0, 0 ]
88,078
[ "pharmacies", "waterbury" ]
[ 0, 5 ]
390,246
[ "nearest", "branch", "of", "Fayetteville", "Consulting", "Services", "in", "Mountain", "View" ]
[ 0, 0, 0, 3, 4, 4, 0, 5, 6 ]
327,571
[ "Popular", "sandwiches", "places", "in", "Newark", "NJ" ]
[ 0, 0, 0, 0, 9, 10 ]
265,939
[ "Verdant", "Hollow", "bao", "buns" ]
[ 0, 0, 0, 0 ]
238,359
[ "does", "Glendale", "Unified", "School", "District", "offer", "roof", "repair", "in", "Pembroke", "Pines", "FL", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
115,016
[ "gyms", "in", "Santa", "Barbar" ]
[ 0, 0, 5, 6 ]
191,698
[ "weather", "forecast", "Richmond" ]
[ 0, 0, 5 ]
33,712
[ "florist", "Birmingham", ",", "Alabama" ]
[ 0, 9, 10, 10 ]
162,761
[ "fried", "chicken", "CZ" ]
[ 0, 0, 0 ]
171,264
[ "biryani", "DX" ]
[ 0, 0 ]
83,364
[ "Best", "seafood", "restaurants", "in", "San", "Diego", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
424,899
[ "does", "Memphis", "Logistics", "Services", "provide", "home", "repair", "services", "in", "ral", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
286,553
[ "North", "Hollywood", "CA", "soups" ]
[ 9, 10, 10, 0 ]
141,819
[ "mac", "and", "cheese", "WY" ]
[ 0, 0, 0, 7 ]
408,081
[ "events", "in", "Waco", ",", "Texas", "this", "weekend" ]
[ 0, 0, 9, 10, 10, 0, 0 ]
97,029
[ "locations", "of", "Boeing", "Company", "in", "Montana" ]
[ 0, 0, 3, 4, 0, 7 ]
5,658
[ "what", "'", "s", "the", "weather", "forecast", "for", "abq", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
64,349
[ "best", "cafes", "Bolingbrook", ",", "Illinois" ]
[ 0, 0, 9, 10, 10 ]
51,040
[ "roti", "Ivoryreach" ]
[ 0, 0 ]
416,926
[ "Affordable", "diner", "in", "Corona", ",", "CA" ]
[ 0, 0, 0, 9, 10, 10 ]
347,062
[ "croquettes", "near", "me", "Greensbor" ]
[ 0, 0, 0, 5 ]
260,218
[ "Milwaukee", ",", "Wisconsin", "soups" ]
[ 9, 10, 10, 0 ]
126,186
[ "Mesa", "AZ", "hiking", "trails" ]
[ 9, 10, 0, 0 ]
108,175
[ "Redhaven", "laksa" ]
[ 0, 0 ]
414,335
[ "nurse", "wayne" ]
[ 0, 5 ]
44,096
[ "who", "are", "the", "top", "doctors", "in", "Cleveland", "OH", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
209,111
[ "Does", "William", "Garcia", "have", "a", "speech", "in", "Grapevine", ",", "TX", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
188,734
[ "parks", "in", "Caldwell" ]
[ 0, 0, 5 ]
437,108
[ "fried", "chicken", "Tyler", ",", "TX" ]
[ 0, 0, 9, 10, 10 ]
213,788
[ "Tulsa", ",", "Oklahoma", "hiking", "trails" ]
[ 9, 10, 10, 0, 0 ]
343,454
[ "churros", "in", "Frostmere" ]
[ 0, 0, 0 ]
359,665
[ "Elgin", ",", "Illinois", "noodles" ]
[ 9, 10, 10, 0 ]
180,340
[ "roof", "repair", "near", "Silver", "Spring" ]
[ 0, 0, 0, 5, 6 ]
91,202
[ "Popular", "apple", "pie", "places", "in", "Sunrise", "Manor", ",", "NV" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
221,860
[ "Stockton", ",", "California", "tacos" ]
[ 9, 10, 10, 0 ]
106,983
[ "Best", "deals", "on", "vacation", "packages", "in", "Boston", ",", "MA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
414,554
[ "Where", "to", "find", "the", "best", "nachos", "in", "Peabody", ",", "MA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
125,906
[ "florist", "Corona", ",", "CA" ]
[ 0, 9, 10, 10 ]
413,592
[ "Where", "to", "find", "the", "best", "dim", "sum", "in", "New", "York", "City", "NY", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
75,061
[ "home", "maintenance", "services", "in", "Aurora", ",", "IL" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
171,805
[ "croissants", "La", "Crosse" ]
[ 0, 5, 6 ]
243,642
[ "Kendall", "FL", "burgers" ]
[ 9, 10, 0 ]
264,408
[ "best", "beach", "in", "oceanside" ]
[ 0, 0, 0, 5 ]
184,319
[ "Popular", "hummus", "places", "in", "Des", "Moines", ",", "IA" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
194,254
[ "pho", "in", "hou" ]
[ 0, 0, 5 ]
62,053
[ "gyms", "in", "buena", "park" ]
[ 0, 0, 5, 6 ]
165,325
[ "bao", "buns", "in", "Blueshore" ]
[ 0, 0, 0, 0 ]
442,364
[ "Castro", "Valley", ",", "CA", "seafood" ]
[ 9, 10, 10, 10, 0 ]
194,470
[ "Wind", "City", "falafel" ]
[ 0, 0, 0 ]
372,283
[ "Savannah", ",", "Georgia", "parks" ]
[ 9, 10, 10, 0 ]
437,013
[ "parks", "in", "Cedar", "Park", ",", "TX" ]
[ 0, 0, 9, 10, 10, 10 ]
169,883
[ "top", "hotels", "in", "murfreesboro" ]
[ 0, 0, 0, 5 ]
441,926
[ "Can", "I", "meet", "Chris", "Hemsworth", "in", "Chino", "Hills", ",", "CA", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 0 ]
288,490
[ "restaurants", "near", "me", "Bristo" ]
[ 0, 0, 0, 5 ]
285,394
[ "Can", "I", "meet", "Ethan", "Graham", "in", "Casas", "Adobes", ",", "Arizona", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 0 ]
366,051
[ "Stonecrest", ",", "GA", "temperature" ]
[ 9, 10, 10, 0 ]
268,164
[ "upcoming", "events", "in", "Roseville", "this", "weekend" ]
[ 0, 0, 0, 5, 0, 0 ]
145,100