text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
sinne | no | 0.999755 |
cain | no | 0.999661 |
mikail | no | 0.999273 |
monir | no | 0.999799 |
emiel | no | 0.999701 |
hannelore | no | 0.999746 |
steffie | no | 0.99958 |
cherrel | no | 0.999783 |
germen | no | 0.999711 |
shauna | no | 0.921515 |
farhiya | no | 0.999612 |
stach | no | 0.999194 |
katy | no | 0.998474 |
chiel | no | 0.999752 |
zola | no | 0.999724 |
paulo | no | 0.999819 |
jilles | no | 0.999337 |
herjan | no | 0.999438 |
beerd | no | 0.999834 |
ada | no | 0.999206 |
eelko | no | 0.999586 |
gilberto | no | 0.999613 |
joséphine | no | 0.9941 |
djamilla | no | 0.999712 |
kyran | no | 0.9995 |
sila | no | 0.999723 |
betsy | no | 0.984373 |
noémi | no | 0.999374 |
suzana | no | 0.999671 |
edmond | no | 0.999705 |
fatime | no | 0.992474 |
sumeyye | no | 0.999712 |
rosalynn | no | 0.99969 |
jayro | no | 0.998983 |
sape | no | 0.999692 |
annemay | no | 0.999682 |
aria | no | 0.999756 |
maciej | no | 0.99861 |
sjon | no | 0.996117 |
yenna | no | 0.99964 |
nawal | no | 0.999797 |
maya | no | 0.99973 |
timotheus | no | 0.999825 |
nicki | no | 0.999385 |
moises | no | 0.999697 |
nadiya | no | 0.999753 |
achraf | yes | 0.999906 |
šejla | yes | 0.996761 |
whitney | yes | 0.932586 |
marla | no | 0.999667 |
jozeph | no | 0.515845 |
ymke | no | 0.999723 |
denley | no | 0.999663 |
darlene | no | 0.999675 |
waseem | no | 0.999734 |
dušan | no | 0.999705 |
wolfgang | no | 0.99956 |
pleunie | no | 0.999714 |
zerrin | no | 0.999116 |
tomer | no | 0.999619 |
xamira | no | 0.999748 |
ché | no | 0.989958 |
shakir | no | 0.999026 |
orhan | no | 0.99972 |
ymkje | no | 0.999708 |
jelmar | no | 0.996519 |
hendrikus | no | 0.999784 |
i̇layda | no | 0.999698 |
frederique | no | 0.999746 |
ziya | no | 0.999346 |
bernadet | no | 0.999781 |
yoeri | yes | 0.999289 |
nikée | no | 0.999592 |
ibtisame | no | 0.999558 |
josine | no | 0.99936 |
guillermo | no | 0.999751 |
roelina | no | 0.99963 |
jefrey | no | 0.999492 |
mientje | no | 0.999793 |
lisette | no | 0.999728 |
ernst jan | no | 0.998362 |
jairzinho | yes | 0.981704 |
zelal | yes | 0.999844 |
faizel | no | 0.999761 |
iris | no | 0.99975 |
bert | no | 0.999787 |
jeanne | no | 0.916042 |
wilbert | no | 0.999736 |
furkan | no | 0.997554 |
sjuul | yes | 0.965019 |
faisel | no | 0.999775 |
tjalle | yes | 0.999132 |
maks | no | 0.999751 |
camiel | no | 0.999698 |
eleanor | no | 0.99967 |
patrick | no | 0.999422 |
skylar | no | 0.999711 |
annebel | no | 0.999757 |
jara | no | 0.99955 |
beytullah | no | 0.997318 |
Subsets and Splits
Sentiment Predictions With Label Yes
Retrieves examples of text labeled as 'yes' which provides basic filtering insight but offers limited analytical value beyond simple data inspection.