text stringlengths 1 46 | label stringclasses 2
values | score float64 0.5 1 |
|---|---|---|
wijse | no | 0.999673 |
heijkans | no | 0.999746 |
boluijt | no | 0.99975 |
ter harkel | no | 0.999789 |
noorlant | no | 0.999765 |
nijessen | no | 0.999673 |
vogelsang | no | 0.999675 |
toor | no | 0.999709 |
weirather | no | 0.999525 |
hubers | no | 0.999656 |
constandse | no | 0.999801 |
proper | no | 0.999722 |
van der swalme | no | 0.999008 |
stadhouder | no | 0.999795 |
birkman | no | 0.999167 |
stegemann | no | 0.999771 |
gijling | no | 0.999799 |
piek | no | 0.999786 |
zeitfers | yes | 0.997821 |
numan | no | 0.998875 |
diemers | yes | 0.99992 |
de priëele | no | 0.999802 |
velgersdijk | no | 0.999792 |
marijne | no | 0.999679 |
slegt | no | 0.999751 |
van haaren | no | 0.999401 |
van kuilenburg | no | 0.999725 |
lagraauw | no | 0.897303 |
van rijsingen | no | 0.999659 |
garst | no | 0.999651 |
petrowski | no | 0.99932 |
nierop | no | 0.999792 |
slosser | no | 0.999754 |
van tuijl | no | 0.99971 |
ijzermans | no | 0.999754 |
cupidon | no | 0.999743 |
delleba | no | 0.998095 |
schoenmakers | no | 0.999751 |
van someren brand | no | 0.999694 |
van neerijnen | no | 0.999573 |
de raaf | no | 0.999822 |
van lummel | no | 0.999696 |
lohne | no | 0.999242 |
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.