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
[ "gnocchi", "thornton" ]
[ 0, 5 ]
6,190
[ "doctor", "Spokan" ]
[ 0, 5 ]
434,112
[ "upcoming", "events", "in", "Chico", "this", "weekend" ]
[ 0, 0, 0, 5, 0, 0 ]
38,559
[ "Best", "barbecue", "joints", "in", "Winston", "-", "Salem", ",", "North", "Carolina" ]
[ 0, 0, 0, 0, 9, 10, 10, 10, 10, 10 ]
101,491
[ "home", "improvement", "contractors", "near", "Apple", "Valley", ",", "MN" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
234,431
[ "Los", "Angeles", "Philharmonic", "Orchestra", "in", "Las", "Cruces", "NM" ]
[ 3, 4, 4, 4, 0, 9, 10, 10 ]
395,306
[ "roof", "repair", "allapattah" ]
[ 0, 0, 5 ]
173,957
[ "Lowell", ",", "MA", "ice", "cream" ]
[ 9, 10, 10, 0, 0 ]
379,813
[ "Top", "destinations", "for", "last", "-", "minute", "deals", "in", "Simi", "Valley", ",", "California" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
125,730
[ "local", "electricians", "in", "Everett", ",", "WA" ]
[ 0, 0, 0, 9, 10, 10 ]
172,174
[ "sichuan", "chicken", "in", "Oasisland" ]
[ 0, 0, 0, 0 ]
287,039
[ "pharmacies", "Glendale", "AZ" ]
[ 0, 9, 10 ]
157,118
[ "AZ", "seafood" ]
[ 7, 0 ]
172,635
[ "spring", "rolls", "Golden", "City" ]
[ 0, 0, 0, 0 ]
244,583
[ "Popular", "burritos", "places", "in", "The", "Bronx", "NY" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
255,945
[ "plumber", "Haverhill", ",", "Massachusetts" ]
[ 0, 9, 10, 10 ]
365,080
[ "Is", "Michael", "Jordan", "traveling", "to", "SC", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
180,320
[ "locations", "of", "AstraZeneca", "in", "California" ]
[ 0, 0, 3, 0, 7 ]
205,184
[ "Tamiami", ",", "FL", "seafood" ]
[ 9, 10, 10, 0 ]
296,456
[ "sushi", "Provo", ",", "UT" ]
[ 0, 9, 10, 10 ]
44,706
[ "brunch", "Independence", ",", "MO" ]
[ 0, 9, 10, 10 ]
389,616
[ "does", "Pasadena", "Legal", "Consultants", "offer", "roof", "repair", "in", "Jacksonville", ",", "FL", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
309,696
[ "steak", "Corpus", "Christi", ",", "TX" ]
[ 0, 9, 10, 10, 10 ]
316,981
[ "seafood", "Pueblo", "CO" ]
[ 0, 9, 10 ]
378,939
[ "breakfast", "near", "me", "El", "Paso" ]
[ 0, 0, 0, 5, 6 ]
29,002
[ "physio", "therapy", "Bethesda", "MD" ]
[ 0, 0, 9, 10 ]
263,134
[ "top", "hotels", "in", "Ankeny" ]
[ 0, 0, 0, 5 ]
102,102
[ "movie", "theaters", "Baltimore", ",", "Maryland" ]
[ 0, 0, 9, 10, 10 ]
98,069
[ "Suffolk", ",", "Virginia", "hiking", "trails" ]
[ 9, 10, 10, 0, 0 ]
402,408
[ "desserts", "Salem", ",", "OR" ]
[ 0, 9, 10, 10 ]
85,039
[ "florist", "missouri", "city" ]
[ 0, 5, 6 ]
203,355
[ "Evanston", ",", "Illinois", "sandwiches" ]
[ 9, 10, 10, 0 ]
413,213
[ "cakes", "Yucaipa", "CA" ]
[ 0, 9, 10 ]
409,878
[ "Top", "-", "rated", "pizzerias", "in", "Surprise", ",", "Arizona" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
422,941
[ "Jamaica", ",", "NY", "pasta" ]
[ 9, 10, 10, 0 ]
61,694
[ "what", "'", "s", "the", "weather", "forecast", "for", "Davie", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
281,309
[ "hiking", "trails", "Plano" ]
[ 0, 0, 5 ]
31,693
[ "Miami", ",", "FL", "steak" ]
[ 9, 10, 10, 0 ]
12,498
[ "what", "is", "going", "on" ]
[ 0, 0, 0, 0 ]
721
[ "pancakes", "in", "Golden", "Hollow" ]
[ 0, 0, 0, 0 ]
379,782
[ "Zephyrlight", "crepes" ]
[ 0, 0 ]
148,249
[ "Redlands", ",", "CA", "pasta" ]
[ 9, 10, 10, 0 ]
93,383
[ "roof", "repair", "new", "south", "memphis" ]
[ 0, 0, 5, 6, 6 ]
172,575
[ "does", "Lincoln", "Memorial", "University", "operate", "in", "Los", "Angeles", ",", "California", "?" ]
[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 10, 0 ]
408,011
[ "Coney", "Island", "poutine" ]
[ 5, 6, 0 ]
257,887
[ "nurse", "sac" ]
[ 0, 5 ]
420,692
[ "Top", "kimchi", "restaurants", "in", "New", "York", "City", "NY", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 10, 0, 0 ]
420,307
[ "cakes", "Mount", "Vernon", "NY" ]
[ 0, 9, 10, 10 ]
242,238
[ "best", "restaurants", "Manhatta" ]
[ 0, 0, 5 ]
86,566
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Mobile", "Business", "Solutions", "in", "NM", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 7, 0 ]
393,425
[ "sandwiches", "Frosthaven" ]
[ 0, 0 ]
114,424
[ "New", "Brunswick", ",", "NJ", "pharmacies" ]
[ 9, 10, 10, 10, 0 ]
345,620
[ "home", "improvement", "services", "Bolingbrook", "IL" ]
[ 0, 0, 0, 9, 10 ]
183,900
[ "nearest", "branch", "of", "Glendale", "Unified", "School", "District", "in", "ny" ]
[ 0, 0, 0, 3, 4, 4, 4, 0, 5 ]
335,950
[ "Where", "to", "eat", "laksa", "in", "Harlingen", ",", "TX", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
385,573
[ "Lowell", "MA", "vegan", "food" ]
[ 9, 10, 0, 0 ]
104,839
[ "restaurants", "near", "me", "smyrna" ]
[ 0, 0, 0, 5 ]
221,214
[ "electrician", "San", "Rafae" ]
[ 0, 5, 6 ]
52,669
[ "find", "hiking", "trails", "in", "Lancaster", ",", "PA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
304,212
[ "brunch", "Novato", ",", "California" ]
[ 0, 9, 10, 10 ]
246,772
[ "electrician", "yuba", "city" ]
[ 0, 5, 6 ]
48,976
[ "breakfast", "near", "me", "Tempe", "Junction" ]
[ 0, 0, 0, 5, 6 ]
105,795
[ "Top", "destinations", "for", "guided", "tours", "in", "Spring", "Valley", ",", "NV" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
118,003
[ "Riverside", ",", "California", "breakfast", "food" ]
[ 9, 10, 10, 0, 0 ]
30,812
[ "Sugar", "Land", "TX", "noodles" ]
[ 9, 10, 10, 0 ]
372,188
[ "parks", "in", "Shawnee", ",", "KS" ]
[ 0, 0, 9, 10, 10 ]
94,311
[ "tandoori", "chicken", "Aspenvale" ]
[ 0, 0, 0 ]
286,961
[ "contact", "Fremont", "Software", "Group", "in", "South", "Boston" ]
[ 0, 3, 4, 4, 0, 5, 6 ]
58,520
[ "Where", "to", "find", "the", "best", "poke", "bowl", "in", "Atlanta", "GA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
349,807
[ "pierogi", "in", "HI" ]
[ 0, 0, 7 ]
393,164
[ "breakfast", "near", "me", "cathedral", "city" ]
[ 0, 0, 0, 5, 6 ]
168,235
[ "steak", "Shawnee", ",", "KS" ]
[ 0, 9, 10, 10 ]
260,752
[ "cakes", "Upland", "CA" ]
[ 0, 9, 10 ]
402,383
[ "Where", "to", "eat", "smoothies", "in", "San", "Ramon", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
20,012
[ "hiking", "trails", "Staten", "Island", ",", "New", "York" ]
[ 0, 0, 9, 10, 10, 10, 10 ]
264,274
[ "contact", "Philadelphia", "Law", "Firm", "in", "palm", "harbor" ]
[ 0, 3, 4, 4, 0, 5, 6 ]
405,802
[ "does", "Tucson", "Medical", "Center", "offer", "roof", "repair", "in", "Oak", "Park", ",", "IL", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
384,580
[ "does", "Toledo", "Museum", "of", "Art", "offer", "roof", "repair", "in", "Chicago", ",", "IL", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
356,914
[ "locations", "of", "Houston", "General", "Hospital", "in", "MD" ]
[ 0, 0, 3, 4, 4, 0, 7 ]
233,271
[ "plantains", "Ridgehaven" ]
[ 0, 0 ]
304,558
[ "cakes", "Seabrook" ]
[ 0, 0 ]
163,756
[ "Top", "destinations", "for", "budget", "travel", "in", "Aurora", ",", "Illinois" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
385,750
[ "best", "restaurants", "metairie" ]
[ 0, 0, 5 ]
282,039
[ "physio", "therapy", "NH" ]
[ 0, 0, 7 ]
14,545
[ "celebratio", "in", "New", "Have" ]
[ 0, 0, 5, 6 ]
304,754
[ "Tulsa", "OK", "breakfast", "food" ]
[ 9, 10, 0, 0 ]
176,140
[ "best", "cafes", "in", "hoover" ]
[ 0, 0, 0, 5 ]
406,756
[ "Stonemeadow", "poke", "bowl" ]
[ 0, 0, 0 ]
51,980
[ "get", "-", "togethe", "in", "New", "York", "City" ]
[ 0, 0, 0, 0, 5, 6, 6 ]
125,599
[ "local", "electricians", "in", "Simi", "Valley", ",", "CA" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
44,663
[ "seafood", "Tampa", "FL" ]
[ 0, 9, 10 ]
375,853
[ "does", "Oracle", "Corporation", "operate", "in", "New", "York", "City", ",", "NY", "?" ]
[ 0, 3, 4, 0, 0, 9, 10, 10, 10, 10, 0 ]
169,799
[ "Can", "I", "meet", "Evan", "Phillips", "in", "Albuquerque", "NM", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 0 ]
212,877
[ "upcoming", "events", "in", "Orlando", "this", "weekend" ]
[ 0, 0, 0, 5, 0, 0 ]
295,747
[ "does", "Carrie", "Fisher", "live", "in", "Hampton" ]
[ 0, 1, 2, 0, 0, 5 ]
13,865
[ "noodles", "WR" ]
[ 0, 0 ]
148,574
[ "weather", "forecast", "for", "grand", "prairie", "this", "weekend" ]
[ 0, 0, 0, 5, 6, 0, 0 ]
203,550
[ "Edinburg", ",", "TX", "sushi" ]
[ 9, 10, 10, 0 ]
17,721
[ "pharmacies", "Rogers", "AR" ]
[ 0, 9, 10 ]
404,531
[ "locations", "of", "BlackRock", "in", "Hawaii" ]
[ 0, 0, 3, 0, 7 ]
46,946