Datasets:

name
stringlengths
2
11
gender
stringclasses
2 values
count
int64
20k
4.23M
probability
float64
0
0.01
split
stringclasses
3 values
Sheri
F
62,790
0.000172
train
Raquel
F
51,213
0.00014
train
Alondra
F
38,509
0.000105
train
Annie
F
355,337
0.000972
train
Dorothy
F
1,118,450
0.003061
train
India
F
24,031
0.000066
train
Marjorie
F
276,604
0.000757
train
Mariana
F
37,664
0.000103
train
Tabatha
F
21,044
0.000058
train
Melinda
F
140,656
0.000385
train
Isabel
F
122,629
0.000336
train
Eunice
F
80,318
0.00022
train
Dianna
F
57,633
0.000158
train
Gladys
F
268,394
0.000735
train
Julissa
F
24,056
0.000066
train
Lena
F
140,358
0.000384
train
Mariah
F
110,742
0.000303
train
Clarice
F
25,359
0.000069
train
Amy
F
731,739
0.002003
train
Toni
F
103,176
0.000282
train
Ashleigh
F
36,322
0.000099
train
Noreen
F
20,852
0.000057
train
Blanche
F
87,556
0.00024
train
Tiffany
F
369,806
0.001012
train
Heaven
F
25,868
0.000071
train
Zoey
F
85,044
0.000233
train
Lorene
F
39,468
0.000108
train
Glenna
F
25,886
0.000071
train
Rosie
F
80,792
0.000221
train
Lorie
F
22,340
0.000061
train
Traci
F
54,035
0.000148
train
Tamara
F
140,156
0.000384
train
Janine
F
36,769
0.000101
train
Lela
F
42,481
0.000116
train
Erika
F
133,683
0.000366
train
Jessica
F
1,173,979
0.003213
train
Elisa
F
44,799
0.000123
train
Eleanor
F
292,713
0.000801
train
Belinda
F
76,023
0.000208
train
Valentina
F
37,326
0.000102
train
Jazmine
F
36,604
0.0001
train
Jayne
F
29,498
0.000081
train
Patricia
F
1,608,260
0.004401
train
Jeri
F
22,924
0.000063
train
Skye
F
21,072
0.000058
train
Leann
F
24,945
0.000068
train
Myrna
F
32,746
0.00009
train
Nelda
F
20,136
0.000055
train
Tonia
F
22,646
0.000062
train
Ora
F
39,056
0.000107
train
Nell
F
26,860
0.000074
train
Marsha
F
104,971
0.000287
train
Cleo
F
30,960
0.000085
train
Rosalie
F
74,395
0.000204
train
Camille
F
69,624
0.000191
train
Mikayla
F
56,015
0.000153
train
Abigail
F
376,102
0.001029
train
Gail
F
207,919
0.000569
train
Natalia
F
67,775
0.000185
train
Adeline
F
59,222
0.000162
train
Shelia
F
47,993
0.000131
train
Hilda
F
81,765
0.000224
train
Margo
F
24,763
0.000068
train
Michele
F
229,908
0.000629
train
Josie
F
59,459
0.000163
train
Charlene
F
138,170
0.000378
train
Simone
F
27,951
0.000076
train
Megan
F
489,524
0.00134
train
Brianne
F
22,968
0.000063
train
Elva
F
31,580
0.000086
train
Helene
F
33,317
0.000091
train
Sienna
F
28,755
0.000079
train
Kyra
F
37,041
0.000101
train
Heidi
F
151,914
0.000416
train
Jeannine
F
24,417
0.000067
train
Audra
F
25,820
0.000071
train
Judith
F
466,109
0.001276
train
Talia
F
28,672
0.000078
train
Karin
F
30,062
0.000082
train
Sallie
F
49,952
0.000137
train
Keira
F
31,697
0.000087
train
Leila
F
47,720
0.000131
train
Rochelle
F
48,973
0.000134
train
Joanna
F
112,103
0.000307
train
Pam
F
33,169
0.000091
train
Keri
F
34,285
0.000094
train
Kathy
F
336,470
0.000921
train
Taryn
F
28,590
0.000078
train
Jenna
F
162,031
0.000443
train
Noemi
F
20,593
0.000056
train
Angelique
F
29,273
0.00008
train
Bobbie
F
89,318
0.000244
train
Eileen
F
191,010
0.000523
train
Teresa
F
427,017
0.001169
train
Bettie
F
38,353
0.000105
train
Caroline
F
236,856
0.000648
train
Alice
F
571,812
0.001565
train
Janice
F
416,428
0.00114
train
Blanca
F
25,631
0.00007
train
Marianne
F
66,993
0.000183
train