text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
serap | no | 0.999752 |
bono | no | 0.999783 |
rémi | no | 0.99967 |
loran | no | 0.999641 |
margareth | no | 0.999323 |
tuna | no | 0.999773 |
edith | no | 0.999495 |
hümeyra | no | 0.994756 |
long | no | 0.667509 |
charlène | no | 0.999596 |
afaf | no | 0.99973 |
jennyfer | no | 0.999692 |
pınar | no | 0.998873 |
soma | no | 0.999617 |
tetje | no | 0.998187 |
queenie | no | 0.9997 |
thymen | no | 0.995372 |
ouail | no | 0.999608 |
corné | no | 0.999278 |
debbie | no | 0.999788 |
tyson | no | 0.999734 |
beryl | no | 0.999732 |
cornelus | no | 0.999795 |
nedim | no | 0.999016 |
shan | yes | 0.775491 |
viviënne | no | 0.999697 |
mechelina | no | 0.999773 |
turgay | no | 0.999725 |
jovanni | no | 0.999355 |
rolinka | no | 0.999769 |
connor | no | 0.999726 |
shereen | no | 0.999565 |
lakeisha | no | 0.999567 |
tyrell | no | 0.99975 |
maissa | no | 0.999728 |
harvey | no | 0.999356 |
robel | no | 0.999723 |
mels | no | 0.999743 |
tjisse | no | 0.999734 |
orçun | no | 0.999506 |
marouan | no | 0.99977 |
chandra | no | 0.998817 |
aleksandra | no | 0.992534 |
nasra | no | 0.999649 |
marisha | no | 0.999485 |
sef | no | 0.999778 |
zahraa | yes | 0.999899 |
frédérique | no | 0.99965 |
bonita | no | 0.999537 |
adriënne | no | 0.999716 |
dylano | no | 0.999796 |
sylvian | no | 0.99976 |
zachary | no | 0.999699 |
selami | no | 0.999609 |
merlin | no | 0.999433 |
toos | no | 0.999811 |
badia | no | 0.999701 |
ziggy | no | 0.999746 |
lucinde | no | 0.999754 |
chabeli | no | 0.999702 |
agata | no | 0.999763 |
elze | no | 0.999733 |
krystle | no | 0.999748 |
maurizio | no | 0.999737 |
jorrik | no | 0.999173 |
ishan | no | 0.993901 |
emi | no | 0.999635 |
caithlin | no | 0.999318 |
aliza | no | 0.999618 |
danny | no | 0.99832 |
amrish | no | 0.999448 |
fernanda | no | 0.999547 |
divano | no | 0.999624 |
bartholomeus | no | 0.999779 |
mouhsine | no | 0.999631 |
marcellino | no | 0.999747 |
ornella | no | 0.99975 |
çağdaş | no | 0.999494 |
lesly | no | 0.999583 |
hasnae | no | 0.999553 |
myke | no | 0.998952 |
adriana | no | 0.999435 |
danika | no | 0.999275 |
alev | no | 0.999766 |
jayanti | no | 0.806543 |
elian | no | 0.999742 |
vico | no | 0.999762 |
jikke | yes | 0.999684 |
nickey | no | 0.998927 |
jos | yes | 0.943066 |
el | no | 0.999805 |
hediye | yes | 0.995754 |
erol | no | 0.99977 |
anna sophie | no | 0.999498 |
jesmer | no | 0.999479 |
kiet | no | 0.999711 |
suze | no | 0.999751 |
athanasios | no | 0.998306 |
geke | no | 0.999683 |
oualid | no | 0.999592 |
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.