text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
necmettin | no | 0.999613 |
wiggert | no | 0.999737 |
şaban | no | 0.999685 |
khadija | no | 0.999399 |
bouwina | no | 0.999691 |
yiğit | yes | 0.670712 |
elske | no | 0.999415 |
yaël | no | 0.99954 |
dorien | no | 0.999668 |
manolito | no | 0.999729 |
nur | no | 0.999827 |
eros | no | 0.99975 |
cecilia | no | 0.999735 |
diewertje | yes | 0.9996 |
cengiz | no | 0.999503 |
remmelt | no | 0.999628 |
rickey | no | 0.999592 |
jeremia | no | 0.999476 |
rianca | no | 0.999528 |
arja | no | 0.92958 |
abdoel | no | 0.999679 |
aloysius | no | 0.999708 |
loeke | no | 0.999581 |
albertus | no | 0.99976 |
remigius | no | 0.999804 |
sharonna | no | 0.998746 |
kiomi | no | 0.999598 |
ashraf | yes | 0.999896 |
rauf | no | 0.999597 |
foekje | no | 0.99978 |
pietsje | no | 0.996214 |
juliane | no | 0.985488 |
feija | no | 0.999574 |
wendy | no | 0.999364 |
edu | no | 0.999591 |
kayne | no | 0.999478 |
cecil | no | 0.999681 |
danyel | no | 0.820997 |
hatun | yes | 0.999383 |
denian | no | 0.999712 |
ingmar | no | 0.999638 |
violetta | no | 0.999772 |
theodorus | no | 0.999807 |
fredrika | no | 0.999682 |
jeska | no | 0.997977 |
lando | no | 0.997769 |
janet | no | 0.999644 |
fahima | yes | 0.999576 |
thirza | no | 0.999532 |
adaja | yes | 0.997764 |
kaspar | no | 0.999708 |
sakina | no | 0.999759 |
caressa | no | 0.999671 |
elko | no | 0.999607 |
yalçin | no | 0.999485 |
edmar | no | 0.999731 |
janus | no | 0.999731 |
chiem | no | 0.999817 |
abderrahmane | no | 0.999681 |
jarl | no | 0.999774 |
billal | no | 0.999522 |
latifa | no | 0.999687 |
marlissa | no | 0.99964 |
arnela | no | 0.999576 |
rony | no | 0.998897 |
ilse | no | 0.999711 |
eden | no | 0.999699 |
safira | no | 0.99967 |
corrie | no | 0.999762 |
harmke | no | 0.998539 |
stèphanie | no | 0.99631 |
loeka | no | 0.999524 |
nadège | no | 0.954699 |
alphons | no | 0.999359 |
katinka | no | 0.999494 |
maroussia | no | 0.999619 |
kirsten | no | 0.999714 |
nandy | no | 0.509937 |
farhad | no | 0.987436 |
battal | no | 0.99971 |
michaela | no | 0.999761 |
alberta | no | 0.999742 |
syed | no | 0.999472 |
leonique | no | 0.999617 |
marshall | no | 0.999492 |
matej | no | 0.990429 |
tess | no | 0.999681 |
jolisa | yes | 0.998987 |
louke | no | 0.999737 |
randolph | no | 0.999679 |
clasina | no | 0.999795 |
jorginho | yes | 0.995027 |
rosario | no | 0.999327 |
navin | no | 0.999754 |
amarins | no | 0.999603 |
ashton | no | 0.999424 |
aryan | yes | 0.9548 |
irini | no | 0.99973 |
byron | no | 0.998769 |
riëtte | 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.