text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
aimen | no | 0.999708 |
yente | no | 0.99975 |
pleuni | no | 0.999685 |
stéphane | no | 0.999612 |
gio | no | 0.999763 |
silvan | no | 0.99973 |
sameer | no | 0.999643 |
souraya | no | 0.999041 |
tanja | yes | 0.999529 |
brenda | no | 0.999675 |
jessi | yes | 0.567372 |
mehtap | no | 0.993364 |
geoffry | no | 0.99946 |
esmanur | no | 0.99978 |
miles | no | 0.999782 |
renzo | no | 0.999064 |
sijmen | no | 0.999797 |
minouche | no | 0.999734 |
micheline | no | 0.999754 |
pieke | no | 0.999736 |
sybrich | no | 0.999777 |
nouhaila | yes | 0.999906 |
marsha | yes | 0.991391 |
zahir | yes | 0.973113 |
berkan | no | 0.999655 |
ensar | no | 0.999612 |
kenney | no | 0.999453 |
alban | no | 0.987171 |
saida | no | 0.999606 |
nagihan | yes | 0.936635 |
mimi | no | 0.999735 |
kuno | yes | 0.667835 |
sammy | yes | 0.502269 |
merian | no | 0.999596 |
gilliano | no | 0.999753 |
keshia | yes | 0.999293 |
matea | no | 0.999442 |
olivia | no | 0.99872 |
yonah | yes | 0.986953 |
doenja | yes | 0.999925 |
djim | yes | 0.991643 |
alexis | no | 0.999779 |
jurrian | no | 0.999554 |
doutsen | no | 0.999764 |
umut | no | 0.998002 |
latisha | no | 0.999637 |
jouri | no | 0.955813 |
maite | no | 0.999748 |
emilie | no | 0.999765 |
dimphy | no | 0.998191 |
shaquille | no | 0.999705 |
romek | no | 0.99958 |
annamarie | no | 0.999735 |
teodora | no | 0.999698 |
zenab | no | 0.999801 |
tialda | no | 0.999726 |
sipke | no | 0.999654 |
janine | no | 0.999722 |
thibaud | no | 0.999578 |
ebe | no | 0.99945 |
raïssa | no | 0.999676 |
emil | no | 0.999746 |
ilaysa | no | 0.999168 |
cacharel | no | 0.999732 |
kamal | no | 0.999563 |
jovanka | no | 0.991033 |
jorik | no | 0.99937 |
wenda | no | 0.999304 |
cansel | no | 0.999686 |
marein | no | 0.999759 |
sahila | no | 0.998698 |
judie | no | 0.999745 |
chris | no | 0.999624 |
ruud | no | 0.999583 |
soufiane | no | 0.999726 |
gertruida | no | 0.999727 |
jozias | no | 0.998182 |
wiebe | no | 0.772319 |
elize | no | 0.999781 |
marchien | no | 0.999754 |
nadeem | no | 0.99973 |
willy | no | 0.999671 |
xynthia | no | 0.999738 |
charaf | no | 0.999489 |
maha | no | 0.919296 |
fabien | no | 0.999807 |
tonnie | no | 0.999204 |
zinab | no | 0.589535 |
mira | no | 0.999698 |
scarlett | no | 0.999577 |
enver | no | 0.999688 |
bartha | no | 0.999611 |
tiana | no | 0.999769 |
renuka | no | 0.999085 |
winesh | no | 0.999387 |
büşra | no | 0.999706 |
channa | no | 0.999548 |
enzio | no | 0.999565 |
gommert | no | 0.995873 |
birkan | no | 0.999508 |
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.