text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
dora | no | 0.999757 |
lauri | no | 0.999202 |
la | no | 0.999817 |
tein | no | 0.999779 |
gülsüm | no | 0.999236 |
berjan | no | 0.999676 |
giovanny | no | 0.999496 |
clair | no | 0.999803 |
margrietha | no | 0.988817 |
nilab | no | 0.999759 |
elvis | no | 0.999794 |
britt | no | 0.999654 |
khalid | no | 0.999632 |
maximiliaan | no | 0.999612 |
mohamoud | yes | 0.949424 |
masja | yes | 0.999755 |
clifford | no | 0.999768 |
abdulkadir | no | 0.999663 |
liena | no | 0.999708 |
serdar | no | 0.999566 |
petros | no | 0.999473 |
ji | no | 0.999754 |
sjieuwke | yes | 0.995842 |
thijme | no | 0.999558 |
aden | no | 0.999808 |
marisol | no | 0.999753 |
moana | no | 0.999754 |
suus | no | 0.968589 |
huriye | yes | 0.999812 |
cloë | yes | 0.999282 |
tjardo | yes | 0.996127 |
matty | no | 0.999771 |
geert | yes | 0.860636 |
myrne | no | 0.999556 |
husein | no | 0.999721 |
thijn | no | 0.999757 |
gersom | no | 0.999436 |
clinton | no | 0.9998 |
bibian | no | 0.999729 |
yahya | yes | 0.999638 |
cailey | no | 0.999705 |
imad | no | 0.999719 |
jojanneke | no | 0.836309 |
hubertina | no | 0.999795 |
yesse | no | 0.99962 |
hussain | no | 0.999239 |
jeltsje | no | 0.99744 |
emy | no | 0.999723 |
aaltsje | no | 0.997602 |
dilek | no | 0.998835 |
tyron | no | 0.999718 |
elsemieke | no | 0.999759 |
chevy | no | 0.999519 |
greetje | no | 0.999548 |
adnan | no | 0.999206 |
catharina | no | 0.999702 |
fay | no | 0.999774 |
wai | no | 0.986048 |
elmer | no | 0.99973 |
medy | no | 0.999695 |
chavelly | no | 0.999668 |
greta | no | 0.999596 |
soufian | no | 0.99966 |
charise | no | 0.99973 |
jihan | yes | 0.917274 |
adela | no | 0.804493 |
corina | no | 0.999786 |
stan | no | 0.983207 |
joska | yes | 0.874773 |
meryl | no | 0.999733 |
kylie | no | 0.999576 |
an | no | 0.999795 |
amando | no | 0.999547 |
jeanette | no | 0.999663 |
mae | no | 0.999649 |
esha | no | 0.951727 |
ayşegül | no | 0.999671 |
hasret | no | 0.999724 |
ilone | no | 0.999731 |
margaret | no | 0.999686 |
anish | no | 0.998583 |
deepak | no | 0.999695 |
gerda | no | 0.998936 |
noé | no | 0.998787 |
marleen | no | 0.999773 |
leony | no | 0.999761 |
miloš | no | 0.99962 |
yin | no | 0.999485 |
gennaro | no | 0.999698 |
jennie | yes | 0.892368 |
donovan | no | 0.999616 |
dangelo | no | 0.999568 |
sheetal | no | 0.99977 |
daphny | yes | 0.999861 |
eleonora | no | 0.999752 |
ismahane | no | 0.999762 |
tolgahan | no | 0.999768 |
marscha | no | 0.999416 |
vanity | no | 0.999332 |
boyan | no | 0.999132 |
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.