text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
hanke | yes | 0.999425 |
wilhelmina | no | 0.99945 |
faye | no | 0.999738 |
aïda | no | 0.999571 |
anemoon | no | 0.999765 |
shadi | no | 0.989717 |
liedeke | yes | 0.970071 |
nele | no | 0.999772 |
idil | no | 0.999781 |
fraukje | no | 0.999723 |
sjoerd | no | 0.779699 |
i̇rem | no | 0.999773 |
noah | yes | 0.999753 |
jamey | no | 0.916675 |
kyro | no | 0.999452 |
melik | no | 0.999744 |
shana | no | 0.977891 |
rodger | no | 0.999592 |
mare | no | 0.999698 |
balou | no | 0.999654 |
ricardus | no | 0.99971 |
shareen | no | 0.999494 |
rosemarije | no | 0.988006 |
hidde | no | 0.999107 |
sevcan | no | 0.99973 |
rachél | no | 0.999687 |
koendert | no | 0.999726 |
fardin | no | 0.999815 |
hanane | no | 0.999363 |
heleen | yes | 0.999784 |
nouaman | yes | 0.999823 |
noa | no | 0.999498 |
manus | no | 0.999806 |
luut | no | 0.999779 |
hananja | yes | 0.999433 |
sanjana | yes | 0.512948 |
thorben | no | 0.999553 |
liron | no | 0.999827 |
robbin | no | 0.998751 |
chahida | no | 0.99731 |
justine | no | 0.999754 |
madiha | no | 0.926428 |
adna | no | 0.999732 |
tamira | no | 0.999761 |
marlien | no | 0.999782 |
sijgje | no | 0.999734 |
albertien | no | 0.999742 |
gradus | no | 0.970749 |
chico | no | 0.999731 |
cheyenna | no | 0.995468 |
mieke | no | 0.999714 |
enya | no | 0.999767 |
roxanne | no | 0.999166 |
gini | no | 0.999769 |
özge | no | 0.999725 |
melika | no | 0.999785 |
chanelle | no | 0.99966 |
sedef | no | 0.999745 |
emmy | no | 0.999687 |
gerrita | no | 0.999763 |
agneta | no | 0.999777 |
intissar | no | 0.999208 |
cian | no | 0.999759 |
elizabet | no | 0.9998 |
roselie | no | 0.999058 |
dennes | no | 0.999689 |
amel | no | 0.999724 |
çağla | no | 0.999339 |
siska | no | 0.999738 |
mehmed | no | 0.999125 |
radwan | no | 0.995922 |
ilze | no | 0.999593 |
senay | no | 0.999589 |
şükrü | no | 0.999638 |
fleurtje | no | 0.999755 |
sevil | no | 0.999661 |
annette | no | 0.999753 |
keltoum | no | 0.999263 |
rivano | no | 0.997473 |
edgar | no | 0.999486 |
aida | no | 0.999791 |
marissa | no | 0.998527 |
tako | no | 0.999784 |
yentl | no | 0.999749 |
lot | no | 0.999588 |
asher | no | 0.999624 |
alisia | no | 0.999757 |
caithlyn | no | 0.999616 |
emily | no | 0.999782 |
tevin | no | 0.999698 |
agnieszka | no | 0.999294 |
muriëlle | no | 0.999763 |
jessey | no | 0.998218 |
menthe | no | 0.999834 |
rosalinde | no | 0.999765 |
denilson | no | 0.999688 |
keith | no | 0.821864 |
nathanaël | no | 0.998344 |
abdurrahman | no | 0.999009 |
ceriel | no | 0.999788 |
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.