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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