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
Dina
F
31,617
0.000087
train
Annette
F
172,768
0.000473
train
Anna
F
916,075
0.002507
train
Tasha
F
39,118
0.000107
train
Debra
F
562,674
0.00154
train
Susana
F
21,195
0.000058
train
Sasha
F
38,597
0.000106
train
Hillary
F
31,049
0.000085
train
Darla
F
42,949
0.000118
train
Jillian
F
90,999
0.000249
train
London
F
36,684
0.0001
train
Tanya
F
129,077
0.000353
train
Deborah
F
757,908
0.002074
train
Brenna
F
30,131
0.000082
train
Ashlee
F
48,796
0.000134
train
Maryann
F
62,932
0.000172
train
Marissa
F
125,981
0.000345
train
Brenda
F
623,319
0.001706
train
Maddison
F
21,344
0.000058
train
Myra
F
61,579
0.000169
train
Carolina
F
43,899
0.00012
train
Madalyn
F
21,310
0.000058
train
Ximena
F
26,162
0.000072
train
Lea
F
32,560
0.000089
train
Nora
F
153,639
0.00042
train
Rhoda
F
25,921
0.000071
train
Marley
F
25,501
0.00007
train
Hanna
F
39,918
0.000109
train
Elnora
F
21,238
0.000058
train
Hilary
F
26,889
0.000074
train
Mara
F
21,263
0.000058
train
Elsie
F
181,180
0.000496
train
Imogene
F
27,463
0.000075
train
Kristin
F
193,868
0.000531
train
Tatiana
F
35,105
0.000096
train
Cecile
F
20,421
0.000056
train
Shauna
F
31,297
0.000086
train
Vanessa
F
276,265
0.000756
train
Alexa
F
128,949
0.000353
train
Emery
F
22,754
0.000062
train
Rita
F
287,585
0.000787
train
Rosemarie
F
51,656
0.000141
train
Reagan
F
52,242
0.000143
train
Cindy
F
266,689
0.00073
train
Victoria
F
514,307
0.001408
train
Claire
F
196,008
0.000536
train
Erma
F
54,870
0.00015
train
Cornelia
F
22,104
0.00006
train
Deanna
F
141,491
0.000387
train
Arielle
F
26,545
0.000073
train
Haylee
F
29,143
0.00008
train
Sarah
F
1,162,143
0.00318
train
Cierra
F
28,563
0.000078
train
Nicole
F
653,738
0.001789
train
Ashlyn
F
46,345
0.000127
train
Mae
F
111,025
0.000304
train
Breanna
F
84,827
0.000232
train
Millie
F
30,712
0.000084
train
Tracie
F
33,606
0.000092
train
Reese
F
33,152
0.000091
train
Margie
F
106,061
0.00029
train
Velma
F
87,147
0.000238
train
Michaela
F
53,161
0.000145
train
Amelia
F
200,459
0.000549
train
Makenna
F
29,671
0.000081
train
Bridgette
F
24,418
0.000067
train
Aileen
F
35,732
0.000098
train
Alaina
F
41,602
0.000114
train
Lucy
F
208,533
0.000571
train
Juanita
F
209,425
0.000573
train
Diamond
F
33,019
0.00009
train
Jami
F
22,660
0.000062
train
Randi
F
31,842
0.000087
train
Penelope
F
68,327
0.000187
train
Nadia
F
44,828
0.000123
train
Candice
F
76,197
0.000209
train
Gina
F
159,142
0.000436
train
Melanie
F
260,420
0.000713
train
Izabella
F
26,148
0.000072
train
Dolores
F
212,394
0.000581
train
Harriett
F
21,594
0.000059
train
Nellie
F
150,289
0.000411
train
Madelyn
F
92,656
0.000254
train
Shelly
F
87,866
0.00024
train
Cristina
F
55,294
0.000151
train
Esther
F
261,417
0.000715
train
Haley
F
160,950
0.00044
train
Paige
F
146,805
0.000402
train
Elisabeth
F
48,729
0.000133
train
Carole
F
112,675
0.000308
train
Lora
F
52,991
0.000145
train
Malia
F
24,430
0.000067
train
Leah
F
241,758
0.000662
train
Lana
F
54,917
0.00015
train
Hadley
F
30,056
0.000082
train
Shanna
F
30,470
0.000083
train
Ashlynn
F
23,668
0.000065
train
Zoe
F
133,298
0.000365
train
Keisha
F
23,622
0.000065
train
Lyla
F
31,401
0.000086
train