text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
priscilla | no | 0.999649 |
hilâl | yes | 0.940132 |
joëy | no | 0.998918 |
loeki | no | 0.998302 |
jackelien | no | 0.999663 |
henna | no | 0.999582 |
rindert | no | 0.999161 |
john | no | 0.99972 |
fé | no | 0.999482 |
abdulrahman | no | 0.99909 |
manoah | no | 0.982582 |
dorrit | no | 0.999654 |
ulaş | no | 0.999679 |
clark | no | 0.999745 |
hindrik | no | 0.99958 |
annigje | no | 0.999251 |
nola | no | 0.999761 |
alfred | no | 0.999728 |
anne linde | no | 0.999685 |
yoël | no | 0.999737 |
leoni | no | 0.999757 |
lotje | no | 0.999793 |
filippus | no | 0.9998 |
yordi | no | 0.99972 |
issam | no | 0.999652 |
kwok | yes | 0.985515 |
jordie | yes | 0.867139 |
sahin | yes | 0.912779 |
moira | yes | 0.999322 |
elton | no | 0.999726 |
evertine | no | 0.99974 |
moësha | no | 0.900668 |
imran | no | 0.999732 |
tolunay | no | 0.999734 |
darshan | no | 0.97301 |
metehan | no | 0.999649 |
krzysztof | no | 0.999708 |
shania | no | 0.999646 |
daniela | no | 0.999302 |
majida | no | 0.999716 |
amerins | no | 0.999679 |
izaäk | no | 0.995286 |
bowe | no | 0.998806 |
jitze | no | 0.687515 |
jolie | yes | 0.997966 |
damiën | no | 0.999703 |
atze | no | 0.999619 |
davide | no | 0.999758 |
louisa | no | 0.99977 |
miko | no | 0.999674 |
gülseren | no | 0.999648 |
nadi | no | 0.999744 |
sait | yes | 0.999582 |
rosemary | no | 0.998028 |
sarella | no | 0.999782 |
sergej | no | 0.999794 |
semir | no | 0.999674 |
lammechien | no | 0.999762 |
sudenaz | no | 0.999793 |
rikje | no | 0.999685 |
karan | no | 0.999212 |
wieteke | no | 0.999614 |
aäron | no | 0.990877 |
elif | no | 0.999777 |
aislinn | no | 0.999731 |
sen | no | 0.999781 |
fynn | no | 0.999753 |
lidwina | no | 0.999808 |
carly | no | 0.999765 |
timo | no | 0.999807 |
annicka | no | 0.999702 |
flor | no | 0.999734 |
dain | no | 0.999781 |
zeyneb | no | 0.999429 |
wiep | no | 0.999158 |
kendrick | no | 0.999584 |
jetse | no | 0.999394 |
devano | no | 0.999809 |
keira | no | 0.999687 |
bibiane | no | 0.999791 |
cemil | no | 0.999793 |
myron | no | 0.999617 |
eilish | no | 0.997484 |
ludwina | no | 0.999761 |
misha | no | 0.981993 |
kyrill | no | 0.99962 |
una | no | 0.999736 |
anisa | no | 0.999283 |
alysia | no | 0.999727 |
jansje | no | 0.994823 |
marlein | no | 0.99977 |
yahye | yes | 0.999788 |
resi | no | 0.998664 |
izaak | no | 0.999647 |
lilia | no | 0.999799 |
marlieke | no | 0.999658 |
jarne | no | 0.999577 |
arend jan | no | 0.999335 |
lyam | no | 0.999778 |
gerrie | no | 0.999682 |
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.