text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
justa | no | 0.999531 |
maeve | no | 0.999733 |
michou | no | 0.99967 |
nasreddine | no | 0.999785 |
obbe | no | 0.999776 |
misja | yes | 0.997627 |
arjuna | no | 0.999697 |
gamze | no | 0.999715 |
hilde | no | 0.999573 |
linsey | no | 0.999205 |
heidi | no | 0.999504 |
meine | no | 0.999751 |
naomy | no | 0.999309 |
aletta | no | 0.99965 |
nathalia | no | 0.999753 |
jantien | no | 0.999661 |
ergün | no | 0.999455 |
jainy | no | 0.978821 |
fadoua | no | 0.999557 |
zeynab | no | 0.999763 |
sanjin | yes | 0.999529 |
ouissam | no | 0.999721 |
stefania | no | 0.999699 |
ilker | no | 0.999669 |
margje | no | 0.999687 |
alican | no | 0.998411 |
jentje | no | 0.999523 |
boye | no | 0.999013 |
fenno | no | 0.999728 |
aukje | no | 0.99951 |
seyit | yes | 0.984721 |
kristin | no | 0.999724 |
pooja | yes | 0.999915 |
eelkje | no | 0.999525 |
everdine | no | 0.999663 |
claartje | no | 0.999833 |
talha | no | 0.998882 |
angelique | no | 0.999631 |
jorja | no | 0.987728 |
davut | no | 0.999512 |
marjolijn | no | 0.996847 |
marlyn | no | 0.999334 |
mazen | no | 0.999793 |
dilay | no | 0.999695 |
bedirhan | no | 0.999592 |
loren | no | 0.99978 |
sevilay | no | 0.99971 |
jorie | yes | 0.999897 |
britta | no | 0.999735 |
marli | no | 0.99974 |
oğulcan | no | 0.999737 |
rohini | no | 0.995626 |
helin | no | 0.999123 |
choukri | no | 0.999537 |
ravin | no | 0.999705 |
imani | no | 0.999732 |
féline | no | 0.999613 |
rune | no | 0.999465 |
irena | no | 0.999742 |
chakir | no | 0.999702 |
mattijn | no | 0.999764 |
zena | no | 0.999759 |
agnetha | no | 0.999086 |
rowi | yes | 0.997526 |
yesim | yes | 0.676326 |
madieke | no | 0.999406 |
charleen | no | 0.999778 |
latoya | no | 0.999514 |
abd | no | 0.999818 |
iddo | no | 0.999736 |
finley | no | 0.999497 |
stoffer | no | 0.999791 |
nellie | no | 0.82926 |
dina | no | 0.999754 |
arina | no | 0.999743 |
frederica | no | 0.999768 |
lamia | no | 0.999693 |
roos marijn | no | 0.999746 |
donnie | no | 0.998805 |
gülşen | no | 0.999715 |
raff | no | 0.928999 |
demi | no | 0.999685 |
danja | yes | 0.99985 |
margit | no | 0.999584 |
rowena | no | 0.998856 |
kimmy | no | 0.999675 |
gülizar | no | 0.999744 |
antonetta | no | 0.999772 |
kathleen | no | 0.999768 |
iva | no | 0.999692 |
zefanja | yes | 0.999825 |
şebnem | no | 0.999729 |
wendelina | no | 0.999684 |
tayfun | no | 0.999262 |
zep | yes | 0.993549 |
jocelyne | yes | 0.99872 |
jordy | no | 0.971003 |
mariella | no | 0.999682 |
hussein | no | 0.999811 |
gaby | no | 0.999263 |
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.