text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
martina | no | 0.997654 |
youssri | no | 0.977031 |
sylvester | no | 0.999646 |
cornelia | no | 0.999734 |
ouafa | no | 0.999651 |
jogchum | no | 0.998075 |
niamh | no | 0.828208 |
thari | no | 0.998384 |
nina | no | 0.999778 |
darko | no | 0.999616 |
jacomijntje | no | 0.9998 |
charif | no | 0.999691 |
victorine | no | 0.999769 |
dünya | no | 0.999656 |
irving | no | 0.999803 |
aliye | no | 0.921566 |
gwenny | no | 0.998256 |
edmee | no | 0.999211 |
aimee | no | 0.897178 |
lamya | no | 0.999635 |
solaïman | no | 0.999774 |
elyse | no | 0.999792 |
caitlyn | no | 0.999513 |
gijsberta | no | 0.999774 |
griffin | no | 0.999787 |
matijs | no | 0.99978 |
latifah | no | 0.998749 |
tamara | no | 0.999765 |
sindy | no | 0.999635 |
raf | no | 0.931057 |
safiera | no | 0.99973 |
daniëlla | no | 0.98022 |
xiomara | no | 0.999715 |
varsha | no | 0.512532 |
tuğçe | no | 0.999052 |
nana | no | 0.999775 |
safiya | no | 0.998684 |
hanad | no | 0.706827 |
berbel | no | 0.999785 |
jori | yes | 0.984186 |
shaun | yes | 0.999565 |
danyal | no | 0.999608 |
isabelle | no | 0.999802 |
belia | no | 0.999781 |
natanja | yes | 0.999786 |
desie | no | 0.999607 |
josette | no | 0.999599 |
silvana | no | 0.99962 |
manar | no | 0.999724 |
iboya | no | 0.99974 |
fabiola | no | 0.999664 |
cliff | no | 0.999505 |
flora | no | 0.999698 |
tarek | no | 0.999787 |
bennet | no | 0.999647 |
sarra | no | 0.999706 |
roselien | no | 0.999622 |
boaz | no | 0.999744 |
alida | no | 0.999699 |
carissa | no | 0.999696 |
firdaous | no | 0.999513 |
svenja | no | 0.84404 |
amara | no | 0.999733 |
priya | no | 0.99964 |
wubbo | no | 0.99871 |
lizzy | no | 0.999361 |
rianna | no | 0.999586 |
enise | no | 0.999719 |
domenica | no | 0.999777 |
leendert | no | 0.999787 |
faiza | no | 0.999787 |
danisha | no | 0.999682 |
harm jan | no | 0.979914 |
ryanne | no | 0.616833 |
funda | no | 0.999694 |
solana | no | 0.99971 |
nalini | yes | 0.556835 |
oeds | no | 0.999743 |
fidan | no | 0.99967 |
asuman | no | 0.999398 |
lorna | no | 0.999695 |
saliha | yes | 0.965323 |
inger | no | 0.999645 |
sheldon | no | 0.999468 |
leny | no | 0.999713 |
oriana | no | 0.999792 |
lieneke | no | 0.999737 |
nisrin | no | 0.503744 |
anneline | no | 0.99974 |
corien | no | 0.999795 |
salvatore | no | 0.99978 |
betül | no | 0.999659 |
reinate | no | 0.999753 |
marnik | no | 0.99968 |
roëlle | no | 0.999555 |
junaid | no | 0.999384 |
bradly | no | 0.999701 |
jeltje | no | 0.999658 |
samy | no | 0.999727 |
atje | no | 0.999715 |
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.