text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
maida | no | 0.999756 |
olcay | no | 0.999727 |
minou | no | 0.999741 |
wencke | yes | 0.718556 |
tyra | no | 0.999753 |
jerney | no | 0.999528 |
santiago | no | 0.999696 |
hilligje | no | 0.955362 |
hedda | no | 0.997924 |
emelie | no | 0.999763 |
lore | no | 0.999785 |
sayenna | no | 0.999283 |
gerrigje | no | 0.999291 |
ikram | no | 0.999774 |
cyanne | no | 0.999609 |
marij | no | 0.999629 |
burcu | no | 0.999797 |
chanell | no | 0.999659 |
ebony | no | 0.999737 |
timoteüs | no | 0.999817 |
phil | no | 0.999674 |
naresh | no | 0.999775 |
merijn | no | 0.999773 |
marina | no | 0.99953 |
jaydee | no | 0.998552 |
hilmi | no | 0.994315 |
brain | no | 0.999562 |
anthony | no | 0.999556 |
liduina | no | 0.999822 |
roanne | no | 0.998545 |
sigrid | no | 0.999789 |
vittorio | no | 0.999772 |
noha | yes | 0.999664 |
isaac | no | 0.999762 |
carel | no | 0.999743 |
evanne | no | 0.999174 |
joanneke | no | 0.998732 |
ravza | no | 0.999631 |
wieke | no | 0.999246 |
rolinde | no | 0.999803 |
eman | no | 0.999678 |
kai | no | 0.998741 |
rachèl | no | 0.999767 |
thalissa | no | 0.999515 |
derek | no | 0.999732 |
olga | no | 0.999597 |
guus | no | 0.999166 |
shawn | yes | 0.999936 |
lynette | no | 0.999683 |
jeremi | yes | 0.713434 |
keisha | no | 0.999668 |
didier | no | 0.999764 |
jedidja | no | 0.996955 |
mauro | no | 0.999772 |
i̇smail | no | 0.999783 |
gilmar | no | 0.999549 |
shu | no | 0.612902 |
artur | no | 0.999816 |
adelheid | no | 0.998301 |
eda | no | 0.999686 |
mannus | no | 0.999791 |
maarten jan | no | 0.999743 |
tjeu | no | 0.999683 |
christy | yes | 0.941177 |
romaissae | no | 0.999699 |
myrthe | no | 0.999618 |
thys | no | 0.999643 |
jorden | yes | 0.710183 |
juliët | no | 0.999399 |
désirée | no | 0.999687 |
firdaouss | no | 0.999493 |
farid | no | 0.999729 |
dogukan | no | 0.998374 |
syb | no | 0.999791 |
eren | no | 0.999764 |
edson | no | 0.998482 |
romeo | no | 0.99967 |
esraa | no | 0.999729 |
jozien | no | 0.999699 |
siena | no | 0.999762 |
gerianne | no | 0.999443 |
mahdi | no | 0.998469 |
luite | no | 0.999674 |
yoran | no | 0.999499 |
chenna | no | 0.999752 |
metje | no | 0.99976 |
chiméne | no | 0.999202 |
jayne | no | 0.999408 |
malik | no | 0.999573 |
rokus | no | 0.999482 |
matt | no | 0.999747 |
jermo | no | 0.999096 |
nisa | no | 0.998901 |
bartholomeüs | no | 0.999752 |
siegfried | no | 0.999565 |
willianne | no | 0.99967 |
samia | no | 0.999774 |
alfons | no | 0.999699 |
imane | no | 0.999662 |
gonca | no | 0.999496 |
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.