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 |
Subsets and Splits