text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
akira | no | 0.999672 |
ilana | no | 0.999666 |
gian | no | 0.999734 |
gerritdina | no | 0.999771 |
güllü | no | 0.999657 |
jutta | no | 0.997798 |
hillegonda | no | 0.999466 |
valérie | no | 0.999571 |
jenneken | no | 0.999694 |
lode | no | 0.999826 |
jillian | no | 0.99968 |
annemijn | no | 0.999789 |
suraj | no | 0.997655 |
sohrab | yes | 0.999818 |
souhaïlla | yes | 0.998693 |
jeske | no | 0.998526 |
luis | no | 0.999732 |
marlouk | no | 0.999648 |
amer | no | 0.999745 |
emina | no | 0.999735 |
ouafaa | no | 0.995461 |
lilly | no | 0.999745 |
immanuel | no | 0.999776 |
liselotte | no | 0.999723 |
loreen | no | 0.999709 |
georges | no | 0.999312 |
ishika | no | 0.999647 |
süeda | no | 0.999693 |
leoniek | no | 0.999749 |
rosalinda | no | 0.995489 |
ersin | no | 0.99958 |
boran | no | 0.998801 |
finn | no | 0.999764 |
niels | no | 0.999632 |
miriam | no | 0.9996 |
everarda | no | 0.999708 |
solange | no | 0.999603 |
angélique | no | 0.999717 |
jenthe | no | 0.885923 |
faouzia | no | 0.999731 |
artie | no | 0.999774 |
merwin | no | 0.998995 |
bobby | no | 0.999729 |
wart | no | 0.999528 |
mayella | no | 0.999648 |
wendeline | no | 0.999633 |
almer | no | 0.999647 |
djairo | yes | 0.999902 |
harmjan | no | 0.999682 |
ayan | no | 0.995802 |
constantinus | no | 0.999744 |
jun | no | 0.500416 |
nidal | no | 0.999142 |
maud | no | 0.999688 |
zekeriya | yes | 0.99969 |
milana | no | 0.999526 |
sharen | no | 0.999621 |
danilson | no | 0.990786 |
ibtisam | no | 0.999575 |
thieu | no | 0.999304 |
sjanne | yes | 0.996304 |
githa | no | 0.990974 |
delicia | no | 0.999682 |
daimy | no | 0.998433 |
carla | no | 0.999156 |
nazife | no | 0.999707 |
jantsje | no | 0.99176 |
darinka | no | 0.999732 |
lola | no | 0.999789 |
fadwa | yes | 0.994839 |
gianni | no | 0.999569 |
terence | no | 0.999801 |
cherry | no | 0.999752 |
robi | no | 0.998841 |
magali | yes | 0.993676 |
quinta | no | 0.999523 |
roef | no | 0.999767 |
noémie | no | 0.991727 |
viresh | no | 0.999751 |
jimmy | no | 0.999453 |
akram | no | 0.999789 |
anissa | no | 0.999024 |
marcela | no | 0.999772 |
charella | no | 0.998399 |
quint | no | 0.999762 |
emine | no | 0.999781 |
nirvana | no | 0.999031 |
flemming | no | 0.999815 |
miki | no | 0.999738 |
sally | no | 0.998627 |
liesanne | no | 0.999702 |
anthonius | no | 0.999774 |
dita | yes | 0.995196 |
luana | no | 0.99973 |
barrie | no | 0.999718 |
gigi | no | 0.999738 |
katrina | no | 0.999588 |
eddie | yes | 0.999403 |
alessa | no | 0.999585 |
leonora | no | 0.999648 |
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.