text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
buğra | no | 0.999738 |
rakesh | no | 0.999167 |
yuka | no | 0.999532 |
renske | no | 0.999525 |
vanya | no | 0.999616 |
inèz | no | 0.978173 |
dano | no | 0.9988 |
yoshi | no | 0.997413 |
odessa | no | 0.999333 |
kaitlin | no | 0.996655 |
mylou | no | 0.99969 |
per | no | 0.999734 |
guinevere | no | 0.999286 |
florens | no | 0.999782 |
harke | no | 0.997769 |
julisa | no | 0.99812 |
ynskje | no | 0.999724 |
myla | no | 0.999803 |
jay | no | 0.998891 |
hakim | no | 0.999604 |
marco | no | 0.999746 |
jasmine | no | 0.999787 |
delayla | no | 0.998866 |
quinten | no | 0.999793 |
jurriaan | no | 0.999614 |
ruwan | yes | 0.999429 |
aad | no | 0.999739 |
janno | no | 0.998744 |
tino | no | 0.999732 |
evaline | no | 0.999755 |
jent | yes | 0.919048 |
geerten | no | 0.999628 |
mabel | no | 0.999796 |
asif | no | 0.999696 |
tjomme | yes | 0.99991 |
asim | no | 0.999741 |
anette | no | 0.999761 |
geraldo | no | 0.999655 |
aarti | yes | 0.628909 |
milton | no | 0.999673 |
kathelijne | no | 0.999711 |
alpay | no | 0.999576 |
marcelino | no | 0.999747 |
nasir | no | 0.999789 |
jolle | yes | 0.511364 |
matias | no | 0.999808 |
semmy | no | 0.999766 |
audry | no | 0.999689 |
trung | no | 0.99969 |
steven | no | 0.999726 |
leanne | no | 0.999308 |
vedat | no | 0.997659 |
senta | no | 0.999741 |
roy | no | 0.999573 |
annie | no | 0.999651 |
amna | no | 0.999768 |
bonne | no | 0.999435 |
zacharias | no | 0.999585 |
boi | no | 0.999148 |
sanela | no | 0.999489 |
anushka | no | 0.996599 |
joske | yes | 0.989266 |
matisse | no | 0.9937 |
kara | no | 0.999636 |
hanifi | no | 0.99961 |
jantinus | no | 0.999749 |
kathryn | no | 0.998166 |
jered | no | 0.999658 |
jard | no | 0.998634 |
misty | no | 0.999079 |
sabrien | no | 0.99979 |
ilham | no | 0.999749 |
selen | no | 0.999695 |
mevlüt | no | 0.999736 |
rients | no | 0.99898 |
franciscus | no | 0.999727 |
ayaan | no | 0.999551 |
duy | no | 0.999411 |
shayla | no | 0.717365 |
isak | no | 0.99975 |
ibtissame | no | 0.996117 |
esther | no | 0.999721 |
scott | no | 0.999431 |
liliana | no | 0.999791 |
tessy | no | 0.999651 |
naftali | no | 0.999707 |
vinesh | no | 0.999665 |
eugène | no | 0.999425 |
marie josé | no | 0.992918 |
charona | no | 0.998444 |
chaïmae | no | 0.999399 |
stijntje | no | 0.999793 |
roan | no | 0.996156 |
syenna | no | 0.999691 |
elina | no | 0.999761 |
jony | no | 0.998069 |
sumeya | no | 0.999755 |
charon | no | 0.999634 |
fedde | no | 0.999557 |
miroslav | no | 0.999683 |
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.