text stringlengths 1 46 | label stringclasses 2
values | score float64 0.5 1 |
|---|---|---|
salman | no | 0.999486 |
lenneke | no | 0.999727 |
emmaly | no | 0.999767 |
theresia | no | 0.999734 |
anastasija | no | 0.999713 |
cherina | no | 0.999779 |
marlotte | no | 0.999713 |
laszlo | no | 0.999757 |
maloe | yes | 0.992772 |
nancy | no | 0.999754 |
dilano | no | 0.999741 |
jinke | no | 0.999612 |
amresh | no | 0.999756 |
loura | no | 0.999647 |
ulbe | no | 0.999777 |
mayla | no | 0.999751 |
oumnia | no | 0.999718 |
nefise | no | 0.999694 |
mas | no | 0.947594 |
sayenne | no | 0.999741 |
tatjana | no | 0.999231 |
tannetje | no | 0.999691 |
doetje | no | 0.995748 |
coert | no | 0.999625 |
dominik | yes | 0.86767 |
floris jan | no | 0.999748 |
juda | no | 0.999759 |
doede | no | 0.999778 |
emilius | no | 0.999822 |
cathalijne | no | 0.999627 |
faisa | no | 0.999813 |
elsien | no | 0.999603 |
selcuk | no | 0.999671 |
abdelmalek | no | 0.999603 |
avni | no | 0.999694 |
nouhaïla | yes | 0.999932 |
vienna | no | 0.999776 |
walid | no | 0.999734 |
hilco | no | 0.999663 |
nikai | no | 0.946866 |
carlijn | no | 0.999788 |
ouafae | no | 0.999712 |
anne fleur | yes | 0.915426 |
şahin | no | 0.999491 |
yves | no | 0.999732 |
almedina | no | 0.999725 |
lourina | no | 0.999711 |
stéphanie | no | 0.999343 |
bilel | no | 0.999782 |
kevser | no | 0.999676 |
annelien | no | 0.99972 |
joannes | no | 0.999679 |
mac | no | 0.999799 |
ayesha | yes | 0.997375 |
flore | no | 0.99978 |
grada | no | 0.997387 |
lucy | no | 0.999691 |
burhan | no | 0.999418 |
arwin | no | 0.999334 |
chayenna | no | 0.999308 |
pia | no | 0.999795 |
aemilius | no | 0.999803 |
annelot | no | 0.998683 |
fleur | no | 0.99981 |
milad | no | 0.999606 |
ülkü | no | 0.999668 |
josefine | no | 0.999798 |
charléne | no | 0.999598 |
güler | no | 0.999767 |
stefany | no | 0.999611 |
ümüt | yes | 0.695963 |
kamila | no | 0.999553 |
siu | no | 0.869604 |
naoual | no | 0.999383 |
wieneke | no | 0.999376 |
hildegard | no | 0.999503 |
chimène | no | 0.999496 |
levina | no | 0.999683 |
zosja | no | 0.993707 |
lyndon | no | 0.911477 |
jella | no | 0.999344 |
norman | no | 0.999758 |
marciano | no | 0.999458 |
rolien | no | 0.999796 |
josephine | no | 0.999625 |
christie | no | 0.997505 |
lucien | no | 0.999788 |
katie | no | 0.999611 |
sherif | no | 0.999565 |
julianne | no | 0.996152 |
yiu | no | 0.583807 |
sidar | no | 0.999283 |
judah | yes | 0.573423 |
rory | no | 0.999672 |
bettine | no | 0.999778 |
yasmine | no | 0.999408 |
crista | no | 0.999688 |
nikolaj | yes | 0.998837 |
melati | no | 0.999649 |
daron | no | 0.999675 |
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.