text stringlengths 1 46 | label stringclasses 2
values | score float64 0.5 1 |
|---|---|---|
wijse | no | 0.98829 |
heijkans | yes | 0.913188 |
boluijt | yes | 0.891801 |
ter harkel | no | 0.862935 |
noorlant | yes | 0.998059 |
nijessen | no | 0.941322 |
vogelsang | yes | 0.541697 |
toor | no | 0.989419 |
weirather | no | 0.999297 |
hubers | no | 0.997673 |
constandse | no | 0.999478 |
proper | no | 0.831551 |
van der swalme | yes | 0.954464 |
stadhouder | no | 0.999376 |
birkman | yes | 0.990125 |
stegemann | no | 0.997561 |
gijling | no | 0.979557 |
piek | no | 0.810651 |
zeitfers | yes | 0.998974 |
numan | yes | 0.952151 |
diemers | no | 0.829369 |
de priëele | no | 0.999527 |
velgersdijk | yes | 0.86675 |
marijne | no | 0.998952 |
slegt | no | 0.994374 |
van haaren | no | 0.9954 |
van kuilenburg | no | 0.99552 |
lagraauw | yes | 0.998369 |
van rijsingen | no | 0.997665 |
garst | yes | 0.993961 |
petrowski | no | 0.859028 |
nierop | yes | 0.994971 |
slosser | yes | 0.997652 |
van tuijl | no | 0.999349 |
ijzermans | yes | 0.615441 |
cupidon | no | 0.995935 |
delleba | yes | 0.997935 |
schoenmakers | no | 0.997589 |
van someren brand | no | 0.946519 |
van neerijnen | yes | 0.902675 |
de raaf | no | 0.994729 |
van lummel | no | 0.997104 |
lohne | yes | 0.921852 |
Subsets and Splits
Sentiment Predictions for Name 3
Retrieves all training examples labeled as 'yes', providing basic filtered data but offering little analytical insight beyond simple categorization.