Datasets:

name
stringlengths
2
11
gender
stringclasses
2 values
count
int64
20k
4.23M
probability
float64
0
0.01
split
stringclasses
3 values
Paola
F
23,205
0.000064
train
Gwen
F
30,819
0.000084
train
Aimee
F
57,838
0.000158
train
Kaylie
F
21,128
0.000058
train
Rena
F
39,336
0.000108
train
Christy
F
102,816
0.000281
train
Adelaide
F
27,667
0.000076
train
Kelley
F
47,965
0.000131
train
Makenzie
F
40,757
0.000112
train
Valerie
F
274,440
0.000751
train
Tonya
F
123,644
0.000338
train
Ladonna
F
21,724
0.000059
train
Savanna
F
31,586
0.000086
train
Kaitlin
F
61,584
0.000169
train
Priscilla
F
123,386
0.000338
train
Paris
F
29,904
0.000082
train
Shelley
F
80,212
0.00022
train
Kellie
F
53,975
0.000148
train
Winnie
F
24,222
0.000066
train
Yvette
F
65,358
0.000179
train
Jocelyn
F
109,954
0.000301
train
Lara
F
30,405
0.000083
train
Karla
F
91,688
0.000251
train
Annabelle
F
61,201
0.000167
train
Lilly
F
58,757
0.000161
train
Kaylee
F
130,325
0.000357
train
Flossie
F
21,807
0.00006
train
Sheena
F
28,020
0.000077
train
Winifred
F
43,712
0.00012
train
Della
F
68,383
0.000187
train
Estella
F
39,607
0.000108
train
Ola
F
29,595
0.000081
train
Lauryn
F
20,633
0.000056
train
Lenore
F
22,803
0.000062
train
Lexi
F
23,882
0.000065
train
Katelynn
F
30,770
0.000084
train
Virgie
F
21,816
0.00006
train
Joni
F
28,930
0.000079
train
Kailey
F
26,513
0.000073
train
Lenora
F
35,228
0.000096
train
Lou
F
33,735
0.000092
train
Kayla
F
353,100
0.000966
train
Kylie
F
115,870
0.000317
train
Ida
F
187,424
0.000513
train
Delaney
F
37,356
0.000102
train
Katherine
F
671,534
0.001838
train
Laila
F
36,327
0.000099
train
Colleen
F
174,269
0.000477
train
Alivia
F
28,400
0.000078
train
Kali
F
25,871
0.000071
train
Selma
F
26,448
0.000072
train
Nia
F
22,307
0.000061
train
Allison
F
318,564
0.000872
train
Melba
F
34,893
0.000095
train
Maggie
F
118,580
0.000325
train
Ina
F
33,905
0.000093
train
Teri
F
45,133
0.000124
train
Athena
F
35,534
0.000097
train
Kenya
F
24,902
0.000068
train
Vera
F
142,252
0.000389
train
Cara
F
56,427
0.000154
train
Nadine
F
55,526
0.000152
train
Ayla
F
21,663
0.000059
train
Marlene
F
134,648
0.000368
train
Linda
F
1,480,592
0.004052
train
Jewell
F
29,404
0.00008
train
Ericka
F
24,276
0.000066
train
Hallie
F
31,318
0.000086
train
Sherrie
F
35,865
0.000098
train
Josephine
F
312,080
0.000854
train
Jolene
F
34,084
0.000093
train
Caitlyn
F
54,564
0.000149
train
Yesenia
F
39,942
0.000109
train
Carolyn
F
565,635
0.001548
train
Shirley
F
698,062
0.00191
train
Shelby
F
149,560
0.000409
train
Thelma
F
226,849
0.000621
train
Sharon
F
742,904
0.002033
train
Larissa
F
24,842
0.000068
train
Alison
F
125,010
0.000342
train
Etta
F
41,412
0.000113
train
Mallory
F
60,376
0.000165
train
Layla
F
89,391
0.000245
train
Rylee
F
52,560
0.000144
train
Jenifer
F
26,737
0.000073
train
Liliana
F
56,645
0.000155
train
Asia
F
32,631
0.000089
train
Margarita
F
40,344
0.00011
train
Chloe
F
221,173
0.000605
train
Andrea
F
463,819
0.001269
train
Katharine
F
43,733
0.00012
train
Alta
F
28,768
0.000079
train
Alicia
F
245,117
0.000671
train
Tanisha
F
21,013
0.000058
train
Kira
F
38,035
0.000104
train
Cheryl
F
453,366
0.001241
train
Lisa
F
1,005,108
0.002751
train
Madeline
F
192,089
0.000526
train
Rachel
F
608,929
0.001666
train
Stacie
F
40,990
0.000112
train