text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
alet | no | 0.999594 |
karuna | no | 0.999719 |
eveliene | no | 0.999648 |
deena | no | 0.999765 |
ercan | no | 0.999777 |
iwana | no | 0.999236 |
maran | no | 0.999169 |
mellissa | no | 0.999702 |
shanti | yes | 0.999361 |
shauni | yes | 0.969857 |
tonnis | no | 0.999739 |
guled | no | 0.999763 |
midas | no | 0.999758 |
sabri | no | 0.999781 |
keri | no | 0.999691 |
leco | no | 0.999744 |
jouke | no | 0.999372 |
sandrina | no | 0.999653 |
guido | no | 0.99983 |
louella | no | 0.999734 |
manel | no | 0.999726 |
bernardina | no | 0.999748 |
rachella | no | 0.999723 |
suman | yes | 0.996743 |
leticia | no | 0.997737 |
veli | no | 0.953898 |
caia | no | 0.999801 |
sidra | no | 0.999525 |
arenda | no | 0.999774 |
annelie | no | 0.999589 |
sammy jo | yes | 0.99969 |
tuana | no | 0.999711 |
christiena | no | 0.998604 |
jayson | no | 0.996879 |
quinn | no | 0.999749 |
orrin | no | 0.99969 |
killian | no | 0.999599 |
viënna | no | 0.999693 |
karijn | no | 0.999761 |
ylja | no | 0.999732 |
dewika | no | 0.999754 |
roelfina | no | 0.999366 |
nadie | no | 0.99936 |
jeppe | no | 0.999389 |
lizanne | no | 0.99966 |
boban | no | 0.99965 |
gülistan | no | 0.999775 |
nevzat | no | 0.999671 |
valesca | no | 0.999768 |
ayyoub | yes | 0.828933 |
vonne | no | 0.999719 |
quirijn | no | 0.999754 |
baki | yes | 0.999184 |
mingus | no | 0.999742 |
başak | no | 0.999476 |
ouidad | no | 0.997496 |
salima | no | 0.999757 |
sian | no | 0.99969 |
kimi | no | 0.999741 |
nica | no | 0.999781 |
clarissa | no | 0.999618 |
rinaldo | yes | 0.638265 |
shawnee | no | 0.998924 |
berna | no | 0.999617 |
hiu | no | 0.990434 |
denisha | no | 0.999773 |
tjarko | yes | 0.998561 |
kick | no | 0.999659 |
tibor | no | 0.999811 |
rhonda | no | 0.999695 |
stephano | no | 0.999765 |
jozefien | no | 0.999713 |
elfi | no | 0.999516 |
nadeche | no | 0.999593 |
derrick | no | 0.999739 |
gabor | no | 0.99977 |
björn | no | 0.999559 |
rhodé | no | 0.999328 |
lente | no | 0.999698 |
ali | yes | 0.995166 |
asmae | no | 0.999769 |
anoeshka | yes | 0.594495 |
ariëlle | no | 0.999781 |
nadine | no | 0.999763 |
müzeyyen | no | 0.999718 |
christal | yes | 0.987395 |
nanda | no | 0.999543 |
chenoa | no | 0.999195 |
johnno | no | 0.99962 |
mascha | yes | 0.999614 |
dominicus | no | 0.99926 |
samina | no | 0.999772 |
anes | no | 0.987596 |
tara | no | 0.999763 |
janny | no | 0.999396 |
saranda | no | 0.999613 |
mitra | no | 0.99971 |
tuyet | no | 0.999646 |
magdalena | no | 0.999623 |
wassila | no | 0.999524 |
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.