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
[ "roof", "repair", "Ellicott", "City" ]
[ 0, 0, 5, 6 ]
287,181
[ "pharmacies", "Farmington", "Hills", "MI" ]
[ 0, 9, 10, 10 ]
184,885
[ "electrician", "South", "Boston" ]
[ 0, 5, 6 ]
58,097
[ "current", "weather", "colorado", "springs" ]
[ 0, 0, 5, 6 ]
93,034
[ "emergency", "services", "Staten", "Island" ]
[ 0, 0, 5, 6 ]
36,534
[ "Temple", ",", "TX", "parks" ]
[ 9, 10, 10, 0 ]
66,697
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Columbia", "University", "in", "RI", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 7, 0 ]
305,415
[ "laksa", "SD" ]
[ 0, 7 ]
53,281
[ "don", "’", "t", "type", "this" ]
[ 0, 0, 0, 0, 0 ]
1,049
[ "find", "hiking", "trails", "in", "Peabody", ",", "Massachusetts" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
132,957
[ "El", "Monte", "CA", "pasta" ]
[ 9, 10, 10, 0 ]
423,380
[ "Lawton", "temperature" ]
[ 5, 0 ]
46,105
[ "Does", "Angelina", "Jolie", "have", "a", "speech", "in", "Stockton", ",", "CA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
352,053
[ "Popular", "fried", "chicken", "places", "in", "New", "York", "City", ",", "NY" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 10 ]
311,467
[ "pasta", "in", "Havencliff" ]
[ 0, 0, 0 ]
262,063
[ "brunch", "Baton", "Rouge", ",", "Louisiana" ]
[ 0, 9, 10, 10, 10 ]
111,889
[ "does", "Zoe", "Saldaña", "live", "in", "Framingham" ]
[ 0, 1, 2, 0, 0, 5 ]
212,628
[ "lawyers", "in", "Jacksonville", ",", "NC" ]
[ 0, 0, 9, 10, 10 ]
35,079
[ "Waukegan", "IL", "temperature" ]
[ 9, 10, 0 ]
351,133
[ "home", "maintenance", "services", "in", "Wellington", ",", "Florida" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
95,967
[ "fried", "chicken", "Philadelphia", "PA" ]
[ 0, 0, 9, 10 ]
108,352
[ "seafood", "Boca", "Raton", ",", "FL" ]
[ 0, 9, 10, 10, 10 ]
201,225
[ "croissants", "in", "HW" ]
[ 0, 0, 0 ]
252,299
[ "snorflemate" ]
[ 0 ]
908
[ "sjc", "steak" ]
[ 5, 0 ]
438,135
[ "nearest", "branch", "of", "Memphis", "Grizzlies", "Basketball", "Team", "in", "buf" ]
[ 0, 0, 0, 3, 4, 4, 4, 0, 5 ]
214,096
[ "pizza", "Chicago", "Lawn", ",", "IL" ]
[ 0, 9, 10, 10, 10 ]
411,893
[ "jollof", "rice", "in", "Prairiefield" ]
[ 0, 0, 0, 0 ]
134,607
[ "coffee", "near", "me", "Rockvill" ]
[ 0, 0, 0, 5 ]
206,641
[ "Does", "Prince", "Harry", "have", "a", "speech", "in", "Columbus", ",", "OH", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
326,380
[ "pasta", "NX" ]
[ 0, 0 ]
269,417
[ "ice", "cream", "Rocky", "Mount", ",", "NC" ]
[ 0, 0, 9, 10, 10, 10 ]
202,259
[ "The", "Hammocks", ",", "FL", "ramen" ]
[ 9, 10, 10, 10, 0 ]
44,348
[ "kebabs", "in", "TX" ]
[ 0, 0, 7 ]
96,008
[ "desserts", "Berkeley", "CA" ]
[ 0, 9, 10 ]
211,474
[ "Duskland", "nachos" ]
[ 0, 0 ]
33,525
[ "restaurants", "near", "bowie", "station", "with", "good", "reviews" ]
[ 0, 0, 5, 6, 0, 0, 0 ]
399,769
[ "movie", "theaters", "ME" ]
[ 0, 0, 7 ]
20,505
[ "burgers", "in", "LR" ]
[ 0, 0, 0 ]
66,483
[ "best", "restaurants", "Missoula" ]
[ 0, 0, 5 ]
369,841
[ "home", "improvement", "Bowie" ]
[ 0, 0, 5 ]
80,636
[ "hospital", "Cicero", "IL" ]
[ 0, 9, 10 ]
335,983
[ "top", "hotels", "in", "Corona", ",", "NY" ]
[ 0, 0, 0, 9, 10, 10 ]
181,510
[ "events", "in", "Columbus", ",", "Ohio", "this", "weekend" ]
[ 0, 0, 9, 10, 10, 0, 0 ]
187,453
[ "does", "Universal", "Music", "Group", "provide", "home", "repair", "services", "in", "brooklyn", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
132,773
[ "hospital", "Ogden", ",", "Utah" ]
[ 0, 9, 10, 10 ]
395,459
[ "bao", "buns", "shv" ]
[ 0, 0, 5 ]
293,601
[ "noodle" ]
[ 0 ]
56
[ "events", "in", "Chesapeake", "this", "weekend" ]
[ 0, 0, 5, 0, 0 ]
66,266
[ "locations", "of", "Plano", "Technology", "Solutions", "in", "OR" ]
[ 0, 0, 3, 4, 4, 0, 7 ]
261,161
[ "Willow", "City", "pad", "thai" ]
[ 0, 0, 0, 0 ]
295,890
[ "fried", "chicken", "Eastvale", ",", "California" ]
[ 0, 0, 9, 10, 10 ]
148,051
[ "Where", "to", "find", "the", "best", "french", "fries", "in", "Enid", "OK", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
318,531
[ "cakes", "Modesto", ",", "CA" ]
[ 0, 9, 10, 10 ]
29,782
[ "symposiu", "in", "South", "Whittier" ]
[ 0, 0, 5, 6 ]
280,027
[ "home", "improvement", "Shrevepor" ]
[ 0, 0, 5 ]
368,178
[ "spring", "rolls", "AR" ]
[ 0, 0, 7 ]
415,794
[ "hiking", "trails", "Wichita", ",", "Kansas" ]
[ 0, 0, 9, 10, 10 ]
238,217
[ "locations", "of", "Sony", "Corporation", "in", "CO" ]
[ 0, 0, 3, 4, 0, 7 ]
31,126
[ "contact", "Henderson", "Engineering", "Consultants", "in", "phila" ]
[ 0, 3, 4, 4, 0, 5 ]
257,506
[ "salads", "Arden", "-", "Arcade", "CA" ]
[ 0, 9, 10, 10, 10 ]
237,677
[ "Current", "political", "situation", "in", "Germany" ]
[ 0, 0, 0, 0, 0 ]
18,781
[ "cookies", "near", "me", "New", "Rochelle" ]
[ 0, 0, 0, 5, 6 ]
267,104
[ "Popular", "crepes", "places", "in", "Lakeland", ",", "Florida" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
64,186
[ "top", "hotels", "in", "Schenectady", ",", "New", "York" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
411,077
[ "sandwiches", "near", "me", "Washington" ]
[ 0, 0, 0, 5 ]
120,730
[ "Greenville", "Technical", "College", "in", "Boise", ",", "ID" ]
[ 3, 4, 4, 0, 9, 10, 10 ]
110,573
[ "Chino", "Hills", ",", "CA", "tacos" ]
[ 9, 10, 10, 10, 0 ]
168,204
[ "Does", "Caleb", "Long", "have", "a", "speech", "in", "Sacramento", ",", "CA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
124,288
[ "car", "repair", "Bridgeport" ]
[ 0, 0, 5 ]
130,016
[ "local", "electricians", "in", "Minneapolis", ",", "MN" ]
[ 0, 0, 0, 9, 10, 10 ]
93,778
[ "Can", "I", "meet", "Marie", "Curie", "in", "Rapid", "City", "SD", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]
153,144
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Naperville", "North", "High", "School", "in", "South", "Carolina", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 7, 8, 0 ]
134,288
[ "best", "sushi", "in", "Watsonville", ",", "CA" ]
[ 0, 0, 0, 9, 10, 10 ]
62,157
[ "burgers", "HW" ]
[ 0, 0 ]
57,207
[ "best", "cafes", "in", "High", "Point" ]
[ 0, 0, 0, 5, 6 ]
169,573
[ "LW", "galbi" ]
[ 0, 0 ]
256,160
[ "game", "in", "Garland" ]
[ 0, 0, 5 ]
294,614
[ "hiking", "trails", "taylor" ]
[ 0, 0, 5 ]
291,908
[ "does", "Merck", "&", "Co", ".", "operate", "in", "San", "Antonio", "TX", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 0 ]
355,642
[ "Can", "I", "meet", "Christian", "Russell", "in", "Warner", "Robins", ",", "GA", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 0 ]
424,904
[ "Alafaya", "FL", "desserts" ]
[ 9, 10, 0 ]
377,336
[ "ceviche", "in", "East", "New", "York" ]
[ 0, 0, 5, 6, 6 ]
49,648
[ "Best", "deals", "on", "family", "vacations", "in", "Rowlett", ",", "Texas" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
121,327
[ "Garland", ",", "TX", "salads" ]
[ 9, 10, 10, 0 ]
127,521
[ "Top", "-", "rated", "family", "-", "friendly", "restaurants", "in", "Plainfield", ",", "NJ" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
416,462
[ "nurse", "Louisville" ]
[ 0, 5 ]
56,440
[ "does", "John", "Oliver", "live", "in", "Albany" ]
[ 0, 1, 2, 0, 0, 5 ]
445,835
[ "does", "San", "Francisco", "Community", "College", "operate", "in", "Fresno", ",", "CA", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 0 ]
243,772
[ "Can", "I", "meet", "Jeff", "Bezos", "in", "Pico", "Rivera", ",", "CA", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 0 ]
283,083
[ "best", "restaurants", "Stonecres" ]
[ 0, 0, 5 ]
394,830
[ "best", "statue", "in", "west", "town" ]
[ 0, 0, 0, 5, 6 ]
387,057
[ "top", "hotels", "in", "thousand", "oaks" ]
[ 0, 0, 0, 5, 6 ]
16,292
[ "Elderstone", "pancakes" ]
[ 0, 0 ]
357,855
[ "Is", "Jacob", "Green", "traveling", "to", "CO", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
255,033
[ "Best", "Japanese", "restaurants", "in", "Sacramento", "CA" ]
[ 0, 0, 0, 0, 9, 10 ]
443,763
[ "Top", "-", "rated", "brunch", "spots", "in", "Ahwatukee", "Foothills", ",", "AZ" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
61,836
[ "best", "pizza", "near", "Missouri", "City" ]
[ 0, 0, 0, 5, 6 ]
113,831
[ "breakfast", "food", "in", "Hearthfield" ]
[ 0, 0, 0, 0 ]
221,968
[ "nearest", "even" ]
[ 0, 0 ]
6,764