Datasets:
aieng-lab
/
namexact

Dataset card Data Studio Files Community
1
name
stringlengths
2
11
gender
stringclasses
2 values
count
int64
20k
4.23M
probability
float64
0
0.01
split
stringclasses
3 values
Olivia
F
468,892
0.001283
train
Kiera
F
21,389
0.000059
train
Kylee
F
48,378
0.000132
train
Edna
F
296,405
0.000811
train
Kyla
F
43,254
0.000118
train
Deana
F
24,184
0.000066
train
Fatima
F
33,299
0.000091
train
Bettye
F
22,936
0.000063
train
Hailey
F
166,397
0.000455
train
Monique
F
84,784
0.000232
train
Kiara
F
50,475
0.000138
train
Essie
F
39,398
0.000108
train
Corrine
F
21,317
0.000058
train
Brooke
F
201,158
0.000551
train
Brianna
F
260,152
0.000712
train
Eugenia
F
29,892
0.000082
train
Frieda
F
25,295
0.000069
train
Agnes
F
159,642
0.000437
train
Angeline
F
36,276
0.000099
train
Marie
F
548,785
0.001502
train
Leigh
F
41,942
0.000115
train
Elinor
F
20,624
0.000056
train
Jazmin
F
42,089
0.000115
train
Rebekah
F
78,746
0.000216
train
Skylar
F
67,648
0.000185
train
Amie
F
22,895
0.000063
train
Rhonda
F
212,978
0.000583
train
Abby
F
62,152
0.00017
train
Geraldine
F
213,493
0.000584
train
Celia
F
55,341
0.000151
train
Ana
F
105,582
0.000289
train
Meredith
F
78,979
0.000216
train
Amanda
F
886,371
0.002426
train
Cathy
F
172,127
0.000471
train
Rosetta
F
28,037
0.000077
train
Sheryl
F
80,956
0.000222
train
Mya
F
57,010
0.000156
train
Angelia
F
22,494
0.000062
train
Nancy
F
1,016,057
0.002781
train
Gretchen
F
54,301
0.000149
train
Johanna
F
54,258
0.000148
train
Lula
F
84,501
0.000231
train
Valeria
F
67,308
0.000184
train
Rebecca
F
788,998
0.002159
train
Shana
F
32,357
0.000089
train
Lindsey
F
174,517
0.000478
train
Christine
F
618,510
0.001693
train
Bessie
F
170,345
0.000466
train
Maxine
F
114,196
0.000313
train
Krystal
F
87,003
0.000238
train
Elvira
F
26,942
0.000074
train
Mable
F
52,924
0.000145
train
Eden
F
35,737
0.000098
train
Cecilia
F
99,183
0.000271
train
Camryn
F
26,603
0.000073
train
Renee
F
192,626
0.000527
train
Alexandra
F
249,693
0.000683
train
Paulette
F
46,653
0.000128
train
Dorothea
F
34,094
0.000093
train
Sonia
F
69,695
0.000191
train
Janis
F
50,051
0.000137
train
Kate
F
89,413
0.000245
train
Carrie
F
274,292
0.000751
train
Jayla
F
40,104
0.00011
train
Laurie
F
171,426
0.000469
train
Marcella
F
64,577
0.000177
train
Tricia
F
42,554
0.000116
train
Ann
F
476,259
0.001303
train
Sondra
F
27,441
0.000075
train
Nina
F
131,558
0.00036
train
Adriana
F
92,615
0.000253
train
Sandra
F
901,623
0.002468
train
Sylvia
F
246,183
0.000674
train
Mamie
F
77,850
0.000213
train
Vickie
F
110,660
0.000303
train
Francine
F
36,505
0.0001
train
Effie
F
43,799
0.00012
train
Kayleigh
F
32,324
0.000088
train
Ernestine
F
44,111
0.000121
train
Ruthie
F
20,897
0.000057
train
Joann
F
157,448
0.000431
train
Eva
F
272,371
0.000745
train
Lucinda
F
38,417
0.000105
train
Tiara
F
24,541
0.000067
train
Charity
F
36,717
0.0001
train
Phyllis
F
325,658
0.000891
train
Jeanne
F
164,331
0.00045
train
Fannie
F
85,120
0.000233
train
Juliet
F
30,924
0.000085
train
Willow
F
33,342
0.000091
train
Latasha
F
32,734
0.00009
train
Katy
F
21,855
0.00006
train
Phoebe
F
35,026
0.000096
train
Lizbeth
F
24,668
0.000068
train
Goldie
F
36,237
0.000099
train
Barbara
F
1,459,870
0.003995
train
Mavis
F
20,736
0.000057
train
Janet
F
569,909
0.00156
train
Nola
F
23,768
0.000065
train
Debbie
F
191,140
0.000523
train