name
stringlengths 2
11
| gender
stringclasses 2
values | count
int64 20k
4.23M
| probability
float64 0
0.01
| split
stringclasses 3
values |
---|---|---|---|---|
Evelyn
|
F
| 583,016 | 0.001596 |
train
|
Frances
|
F
| 597,703 | 0.001636 |
train
|
Rosa
|
F
| 176,857 | 0.000484 |
train
|
Maribel
|
F
| 24,932 | 0.000068 |
train
|
Yasmin
|
F
| 20,512 | 0.000056 |
train
|
Eloise
|
F
| 53,573 | 0.000147 |
train
|
Jeanette
|
F
| 167,796 | 0.000459 |
train
|
Leanne
|
F
| 36,967 | 0.000101 |
train
|
Susanne
|
F
| 28,369 | 0.000078 |
train
|
Naomi
|
F
| 167,842 | 0.000459 |
train
|
Reba
|
F
| 35,423 | 0.000097 |
train
|
Emilee
|
F
| 23,370 | 0.000064 |
train
|
Whitney
|
F
| 110,032 | 0.000301 |
train
|
Elma
|
F
| 21,557 | 0.000059 |
train
|
Tammie
|
F
| 36,111 | 0.000099 |
train
|
Ashley
|
F
| 957,384 | 0.00262 |
train
|
Jennifer
|
F
| 1,584,426 | 0.004336 |
train
|
Alberta
|
F
| 70,444 | 0.000193 |
train
|
Brandi
|
F
| 110,230 | 0.000302 |
train
|
Janette
|
F
| 33,518 | 0.000092 |
train
|
Meagan
|
F
| 47,303 | 0.000129 |
train
|
Camila
|
F
| 70,246 | 0.000192 |
train
|
Nikki
|
F
| 43,214 | 0.000118 |
train
|
Selena
|
F
| 52,847 | 0.000145 |
train
|
Polly
|
F
| 29,571 | 0.000081 |
train
|
Carmela
|
F
| 23,796 | 0.000065 |
train
|
Kristy
|
F
| 76,858 | 0.00021 |
train
|
Maude
|
F
| 45,559 | 0.000125 |
train
|
Susan
|
F
| 1,154,677 | 0.00316 |
train
|
Natasha
|
F
| 111,593 | 0.000305 |
train
|
Laura
|
F
| 842,865 | 0.002307 |
train
|
Mattie
|
F
| 131,570 | 0.00036 |
train
|
Noelle
|
F
| 35,749 | 0.000098 |
train
|
Kiana
|
F
| 25,702 | 0.00007 |
train
|
Kamryn
|
F
| 20,842 | 0.000057 |
train
|
Macy
|
F
| 30,209 | 0.000083 |
train
|
Faye
|
F
| 69,701 | 0.000191 |
train
|
Staci
|
F
| 26,859 | 0.000074 |
train
|
Arlene
|
F
| 145,657 | 0.000399 |
train
|
Sophie
|
F
| 122,211 | 0.000334 |
train
|
Bonnie
|
F
| 332,401 | 0.00091 |
train
|
Tori
|
F
| 36,808 | 0.000101 |
train
|
Kari
|
F
| 63,600 | 0.000174 |
train
|
Therese
|
F
| 35,889 | 0.000098 |
train
|
Brittney
|
F
| 90,902 | 0.000249 |
train
|
Alma
|
F
| 160,889 | 0.00044 |
train
|
Juliette
|
F
| 28,595 | 0.000078 |
train
|
Hayley
|
F
| 55,614 | 0.000152 |
train
|
Beatrice
|
F
| 193,289 | 0.000529 |
train
|
Denise
|
F
| 384,420 | 0.001052 |
train
|
Mona
|
F
| 46,332 | 0.000127 |
train
|
Chasity
|
F
| 25,325 | 0.000069 |
train
|
Tracey
|
F
| 93,256 | 0.000255 |
train
|
Jacqueline
|
F
| 442,645 | 0.001211 |
train
|
Lizzie
|
F
| 38,924 | 0.000107 |
train
|
Stacey
|
F
| 158,129 | 0.000433 |
train
|
Hattie
|
F
| 99,896 | 0.000273 |
train
|
Angelina
|
F
| 122,564 | 0.000335 |
train
|
Tammy
|
F
| 340,673 | 0.000932 |
train
|
Eve
|
F
| 26,413 | 0.000072 |
train
|
Connie
|
F
| 269,618 | 0.000738 |
train
|
Katie
|
F
| 257,392 | 0.000704 |
train
|
Elyse
|
F
| 20,885 | 0.000057 |
train
|
Harriet
|
F
| 89,325 | 0.000244 |
train
|
Gwendolyn
|
F
| 120,539 | 0.00033 |
train
|
Mary
|
F
| 4,169,663 | 0.011411 |
train
|
Nova
|
F
| 20,535 | 0.000056 |
train
|
Cherie
|
F
| 31,748 | 0.000087 |
train
|
Tamika
|
F
| 24,392 | 0.000067 |
train
|
Giselle
|
F
| 44,537 | 0.000122 |
train
|
Arianna
|
F
| 92,862 | 0.000254 |
train
|
Daniella
|
F
| 30,460 | 0.000083 |
train
|
Edith
|
F
| 269,856 | 0.000739 |
train
|
Sadie
|
F
| 127,798 | 0.00035 |
train
|
Brielle
|
F
| 34,420 | 0.000094 |
train
|
Tessa
|
F
| 52,175 | 0.000143 |
train
|
Nettie
|
F
| 49,360 | 0.000135 |
train
|
Isabelle
|
F
| 96,894 | 0.000265 |
train
|
Antoinette
|
F
| 79,851 | 0.000219 |
train
|
Christa
|
F
| 35,631 | 0.000098 |
train
|
Vivian
|
F
| 211,914 | 0.00058 |
train
|
Kassandra
|
F
| 33,658 | 0.000092 |
train
|
Darcy
|
F
| 23,072 | 0.000063 |
train
|
Imani
|
F
| 23,764 | 0.000065 |
train
|
Leilani
|
F
| 33,173 | 0.000091 |
train
|
Alisha
|
F
| 62,348 | 0.000171 |
train
|
Dianne
|
F
| 102,234 | 0.00028 |
train
|
Trina
|
F
| 34,386 | 0.000094 |
train
|
Lynda
|
F
| 81,995 | 0.000224 |
train
|
Gabriela
|
F
| 81,173 | 0.000222 |
train
|
Jasmin
|
F
| 46,479 | 0.000127 |
train
|
Maria
|
F
| 567,973 | 0.001554 |
train
|
Lila
|
F
| 67,818 | 0.000186 |
train
|
Alana
|
F
| 61,818 | 0.000169 |
train
|
Tiana
|
F
| 28,550 | 0.000078 |
train
|
Dora
|
F
| 106,380 | 0.000291 |
train
|
Maureen
|
F
| 152,294 | 0.000417 |
train
|
Dolly
|
F
| 20,021 | 0.000055 |
train
|
Emilie
|
F
| 26,743 | 0.000073 |
train
|
Ethel
|
F
| 280,148 | 0.000767 |
train
|
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