text stringlengths 1 46 | label stringclasses 2
values | score float64 0.5 1 |
|---|---|---|
hennie | no | 0.949724 |
rosina | no | 0.999662 |
kaj | no | 0.984998 |
lionel | no | 0.999746 |
linet | no | 0.999788 |
armen | no | 0.999739 |
nazar | no | 0.999501 |
teuntje | no | 0.999788 |
ayden | no | 0.999695 |
annewil | no | 0.995679 |
divera | no | 0.997522 |
meriç | no | 0.999471 |
dany | no | 0.999137 |
miray | no | 0.999725 |
brianna | no | 0.999713 |
jamilla | yes | 0.991803 |
larisa | no | 0.999764 |
carlijne | no | 0.999713 |
virgill | no | 0.999745 |
sharin | no | 0.997624 |
tuba | no | 0.999594 |
anje | no | 0.999621 |
ramiz | no | 0.999755 |
irsa | no | 0.999637 |
carina | no | 0.999668 |
lamberta | no | 0.999727 |
cor | no | 0.999823 |
kaïn | no | 0.999427 |
tanika | no | 0.999699 |
brad | no | 0.999759 |
sippie | no | 0.999763 |
gail | no | 0.998934 |
mignon | no | 0.999718 |
winston | no | 0.999708 |
katharina | no | 0.999742 |
selina | no | 0.999754 |
shabana | no | 0.987267 |
bodien | no | 0.999737 |
mayk | no | 0.99975 |
pepita | no | 0.999687 |
fiorella | no | 0.999792 |
pernille | no | 0.99965 |
elvan | no | 0.999773 |
suzy | no | 0.99963 |
jaimie | yes | 0.999879 |
hanin | no | 0.994907 |
celeste | no | 0.999808 |
jelena | no | 0.954173 |
emke | no | 0.99975 |
defne | no | 0.999769 |
germ | no | 0.9998 |
lonneke | no | 0.999769 |
maher | no | 0.999741 |
francisco | no | 0.999634 |
niek | no | 0.999745 |
chanella | no | 0.999672 |
marrit | no | 0.999529 |
william | no | 0.999681 |
desiré | no | 0.997675 |
che | no | 0.999797 |
eunice | no | 0.999635 |
benny | no | 0.999557 |
gwendolyn | no | 0.999688 |
assia | no | 0.999382 |
fábio | no | 0.999548 |
jafeth | no | 0.869231 |
lima | no | 0.999772 |
charmaine | no | 0.99966 |
sonia | no | 0.999765 |
osman | no | 0.999724 |
barbara | no | 0.999744 |
bonno | no | 0.999664 |
zakia | no | 0.999766 |
ouiam | no | 0.999732 |
orkun | no | 0.999475 |
axl | no | 0.999819 |
josepha | yes | 0.997395 |
precilla | no | 0.999707 |
sinem | no | 0.999727 |
ruthger | no | 0.999584 |
betty | no | 0.999625 |
ramona | no | 0.999564 |
iggy | no | 0.999554 |
rizwan | no | 0.999547 |
nataša | no | 0.999721 |
donja | yes | 0.646168 |
tessa | no | 0.99946 |
petra | no | 0.999665 |
ayda | no | 0.999169 |
quido | no | 0.999798 |
ria | no | 0.99976 |
rochdi | no | 0.999495 |
gülüzar | no | 0.999637 |
jetske | no | 0.999164 |
menna | no | 0.99963 |
taylor | no | 0.999706 |
djoni | no | 0.9767 |
jurjen | no | 0.999728 |
gerrieke | no | 0.999669 |
stacy | no | 0.999761 |
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.