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
[ "TG", "risotto" ]
[ 0, 0 ]
178,168
[ "Walnut", "Creek", ",", "CA", "ice", "cream" ]
[ 9, 10, 10, 10, 0, 0 ]
11,009
[ "Minnetonka", ",", "Minnesota", "salads" ]
[ 9, 10, 10, 0 ]
167,022
[ "find", "hiking", "trails", "in", "Edison", ",", "NJ" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
227,650
[ "tandoori", "chicken", "Northreach" ]
[ 0, 0, 0 ]
404,888
[ "Top", "galbi", "restaurants", "in", "Sandy", "Springs", "GA", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
313,673
[ "does", "Huntsville", "Hospital", "operate", "in", "Midland", ",", "TX", "?" ]
[ 0, 3, 4, 0, 0, 9, 10, 10, 0 ]
103,107
[ "Where", "to", "eat", "tempura", "in", "Virginia", "Beach", ",", "VA", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
235,068
[ "Minnetonka", ",", "MN", "vegan", "food" ]
[ 9, 10, 10, 0, 0 ]
64,555
[ "temperature", "MN" ]
[ 0, 7 ]
9,795
[ "Is", "Katherine", "Kelly", "available", "for", "an", "appointment", "in", "Houston", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
423,913
[ "League", "City", "TX", "hamburgers" ]
[ 9, 10, 10, 0 ]
293,219
[ "locations", "of", "Riverside", "Community", "Hospital", "in", "AZ" ]
[ 0, 0, 3, 4, 4, 0, 7 ]
340,459
[ "pizza", "downey" ]
[ 0, 5 ]
192,593
[ "crepes", "bk" ]
[ 0, 5 ]
223,607
[ "ramen", "places", "in", "Oakland" ]
[ 0, 0, 0, 5 ]
60,653
[ "ceviche", "WI" ]
[ 0, 7 ]
413,356
[ "weather", "San", "Jose", ",", "CA" ]
[ 0, 9, 10, 10, 10 ]
72,914
[ "contact", "Shreveport", "Regional", "Airport", "in", "Burbank" ]
[ 0, 3, 4, 4, 0, 5 ]
288,889
[ "locations", "of", "Sacramento", "Kings", "Basketball", "Team", "in", "SC" ]
[ 0, 0, 3, 4, 4, 4, 0, 7 ]
394,970
[ "twistamatic" ]
[ 0 ]
148
[ "physio", "therapy", "inglewood" ]
[ 0, 0, 5 ]
221,970
[ "Top", "korean", "barbecue", "restaurants", "in", "Minnetonka", ",", "MN", "this", "weekend" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
320,562
[ "Norfolk", "Health", "Services", "reviews", "in", "Utah" ]
[ 3, 4, 4, 0, 0, 7 ]
436,522
[ "shabu", "shabu", "North", "Dakota" ]
[ 0, 0, 7, 8 ]
234,748
[ "banh", "mi", "in", "Delaware" ]
[ 0, 0, 0, 7 ]
280,407
[ "Flatbush", ",", "NY", "vegan", "food" ]
[ 9, 10, 10, 0, 0 ]
212,153
[ "Does", "Chris", "Hemsworth", "have", "a", "speech", "in", "Richmond", ",", "VA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
373,595
[ "Denver", ",", "CO", "breakfast", "food" ]
[ 9, 10, 10, 0, 0 ]
34,381
[ "home", "services", "Queens" ]
[ 0, 0, 5 ]
5,829
[ "Amarillo", "TX", "steak" ]
[ 9, 10, 0 ]
331,450
[ "plumbing", "services", "in", "Normal", "IL" ]
[ 0, 0, 0, 9, 10 ]
28,343
[ "best", "cafes", "in", "Columbus", ",", "GA" ]
[ 0, 0, 0, 9, 10, 10 ]
199,988
[ "locations", "of", "Des", "Moines", "Public", "Library", "in", "RI" ]
[ 0, 0, 3, 4, 4, 4, 0, 7 ]
370,298
[ "big", "apple", "cakes" ]
[ 5, 6, 0 ]
264,159
[ "sandwiches", "Deerfield", "Beach", "FL" ]
[ 0, 9, 10, 10 ]
267,336
[ "Best", "deals", "on", "ski", "trips", "in", "Skokie", ",", "IL" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
135,090
[ "does", "Dayton", "Software", "Innovations", "provide", "home", "repair", "services", "in", "New", "York", "City", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 6, 6, 0 ]
444,858
[ "best", "statue", "in", "Paramount" ]
[ 0, 0, 0, 5 ]
235,132
[ "cupcakes", "Dawnbreak" ]
[ 0, 0 ]
295,515
[ "NJ", "biryani" ]
[ 7, 0 ]
169,169
[ "Laguna", "Niguel", "CA", "ramen" ]
[ 9, 10, 10, 0 ]
189,977
[ "florist", "Overland", "Park" ]
[ 0, 5, 6 ]
142,245
[ "top", "-", "rated", "roof", "repair", "Arden", "-", "Arcade", ",", "CA" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 10 ]
131,937
[ "Amarillo", ",", "Texas", "seafood" ]
[ 9, 10, 10, 0 ]
12,755
[ "breakfast", "near", "me", "Lake", "Havasu", "City" ]
[ 0, 0, 0, 5, 6, 6 ]
154,468
[ "pasta", "Amberfield" ]
[ 0, 0 ]
442,652
[ "best", "restaurants", "in", "Greensboro", "NC" ]
[ 0, 0, 0, 9, 10 ]
62,222
[ "dfw", "gyros" ]
[ 5, 0 ]
397,693
[ "top", "hotels", "in", "Warren", ",", "MI" ]
[ 0, 0, 0, 9, 10, 10 ]
57,450
[ "New", "York", "City", "calamari" ]
[ 5, 6, 6, 0 ]
27,213
[ "car", "repair", "New", "Bedford", ",", "MA" ]
[ 0, 0, 9, 10, 10, 10 ]
391,758
[ "Irondequoit", ",", "NY", "pharmacies" ]
[ 9, 10, 10, 0 ]
364,735
[ "noodles", "Boston", "MA" ]
[ 0, 9, 10 ]
147,937
[ "who", "are", "the", "top", "doctors", "in", "Delano", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
360,565
[ "Ravendale", "croquettes" ]
[ 0, 0 ]
43,988
[ "What", "are", "the", "most", "famous", "Italian", "restaurants", "in", "Honolulu", ",", "Hawaii", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
365,278
[ "How", "to", "convert", "Bitcoin", "to", "another", "currency", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0 ]
4,507
[ "bibimbap", "AR" ]
[ 0, 7 ]
333,024
[ "gnocchi", "in", "Ivory", "Plains" ]
[ 0, 0, 0, 0 ]
327,091
[ "electrician", "flatbush" ]
[ 0, 5 ]
187,167
[ "Can", "I", "meet", "Marilyn", "Monroe", "in", "Irving", "TX", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 0 ]
65,888
[ "San", "Ramon", ",", "CA", "seafood" ]
[ 9, 10, 10, 10, 0 ]
201,068
[ "parks", "Margate", ",", "FL" ]
[ 0, 9, 10, 10 ]
176,637
[ "apple", "pie", "Cloverstone" ]
[ 0, 0, 0 ]
279,301
[ "physio", "therapy", "toms", "river" ]
[ 0, 0, 5, 6 ]
375,903
[ "Umbrafield", "steak" ]
[ 0, 0 ]
126,839
[ "parks", "Lakeville", "MN" ]
[ 0, 9, 10 ]
249,720
[ "hiking", "trails", "Daly", "City", "CA" ]
[ 0, 0, 9, 10, 10 ]
69,409
[ "Can", "I", "meet", "Andy", "Murray", "in", "Jamaica", ",", "NY", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]
196,787
[ "does", "Aurora", "Logistics", "Firm", "offer", "roof", "repair", "in", "Columbus", ",", "OH", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
405,854
[ "Tucson", ",", "AZ", "ice", "cream" ]
[ 9, 10, 10, 0, 0 ]
63,295
[ "hours", "of", "Yonkers", "Public", "Schools", "in", "Fresno" ]
[ 0, 0, 3, 4, 4, 0, 5 ]
24,544
[ "fondue", "in", "MQ" ]
[ 0, 0, 0 ]
322,338
[ "tacos", "Chinatown", ",", "New", "York" ]
[ 0, 9, 10, 10, 10 ]
419,970
[ "does", "Salem", "Health", "offer", "roof", "repair", "in", "Dallas", ",", "TX", "?" ]
[ 0, 3, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
348,857
[ "Sandy", "Hills", "UT", "pasta" ]
[ 9, 10, 10, 0 ]
269,580
[ "Is", "Emily", "Brooks", "traveling", "to", "Nebraska", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
439,547
[ "gyros", "in", "Hollow", "City" ]
[ 0, 0, 0, 0 ]
165,640
[ "bagels", "in", "Ashmoor" ]
[ 0, 0, 0 ]
262,508
[ "Camden", ",", "NJ", "noodles" ]
[ 9, 10, 10, 0 ]
145,720
[ "Lawton", "OK", "soups" ]
[ 9, 10, 0 ]
146,154
[ "parks", "Irvine", ",", "CA" ]
[ 0, 9, 10, 10 ]
58,601
[ "desserts", "Pine", "Hills", ",", "FL" ]
[ 0, 9, 10, 10, 10 ]
317,525
[ "burgers", "Hollywood", ",", "Florida" ]
[ 0, 9, 10, 10 ]
202,646
[ "does", "Oracle", "Corporation", "provide", "home", "repair", "services", "in", "pembroke", "pines", "?" ]
[ 0, 3, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
317,798
[ "Naperville", "North", "High", "School", "in", "Owensboro", ",", "KY" ]
[ 3, 4, 4, 4, 0, 9, 10, 10 ]
204,829
[ "Washington", "Heights", ",", "New", "York", "cakes" ]
[ 9, 10, 10, 10, 10, 0 ]
170,821
[ "weather", "Rowlet" ]
[ 0, 5 ]
210,503
[ "hiking", "trails", "Conway" ]
[ 0, 0, 5 ]
228,953
[ "nearest", "branch", "of", "Coca", "-", "Cola", "Company", "in", "North", "Bergen" ]
[ 0, 0, 0, 3, 4, 4, 4, 0, 5, 6 ]
396,017
[ "Florence", "-", "Graham", ",", "California", "soups" ]
[ 9, 10, 10, 10, 10, 0 ]
320,326
[ "Elizabeth", "II", "age" ]
[ 1, 2, 0 ]
68,049
[ "physio", "therapy", "Alafaya", ",", "FL" ]
[ 0, 0, 9, 10, 10 ]
232,298
[ "contact", "Fremont", "Software", "Group", "in", "Alhambra" ]
[ 0, 3, 4, 4, 0, 5 ]
187,965
[ "pizza", "Allentown", ",", "PA" ]
[ 0, 9, 10, 10 ]
275,000
[ "ratatouille", "Quartz", "City" ]
[ 0, 0, 0 ]
289,776
[ "Does", "Stephanie", "Diaz", "have", "a", "speech", "in", "San", "Clemente", ",", "CA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
418,069
[ "burgers", "Jacksonville", ",", "Florida" ]
[ 0, 9, 10, 10 ]
112,143
[ "electrician", "citrus", "heights" ]
[ 0, 5, 6 ]
117,408