text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
ching | no | 0.99921 |
danijel | no | 0.998477 |
zafer | no | 0.999723 |
jora | no | 0.998669 |
gaia | no | 0.999667 |
jinte | no | 0.999732 |
ken | no | 0.999759 |
ranil | no | 0.999655 |
brennan | no | 0.999331 |
alannah | yes | 0.957418 |
dyllan | no | 0.999679 |
noach | no | 0.742094 |
touraya | no | 0.999403 |
dinah | no | 0.999125 |
daryl | no | 0.999703 |
kwaku | no | 0.999435 |
sita | no | 0.999584 |
teoman | no | 0.999629 |
pieternella | no | 0.999728 |
minne | no | 0.999714 |
pierre | no | 0.998926 |
saadia | no | 0.999782 |
jisse | no | 0.999489 |
kendra | no | 0.998986 |
jale | yes | 0.999817 |
samatar | no | 0.999765 |
nena | no | 0.999791 |
xanthe | no | 0.999804 |
liesbeth | no | 0.99959 |
marlies | no | 0.999733 |
seda | no | 0.999806 |
hette | no | 0.907934 |
aradhna | no | 0.999466 |
ludovicus | no | 0.999764 |
irem | no | 0.999788 |
berend | no | 0.999835 |
riad | no | 0.976428 |
lior | no | 0.999797 |
vadim | no | 0.999741 |
hao | yes | 0.998848 |
arif | no | 0.999608 |
felicia | no | 0.999161 |
rintje | no | 0.99982 |
renger | no | 0.999465 |
bridget | no | 0.999631 |
cyrus | no | 0.999756 |
federico | no | 0.999699 |
meyke | no | 0.998374 |
carlina | no | 0.99977 |
anco | no | 0.99961 |
charisa | no | 0.999745 |
nikki | no | 0.98109 |
charisma | no | 0.999743 |
evy | no | 0.999723 |
aly | yes | 0.999943 |
gloria | no | 0.999786 |
damiaan | no | 0.999723 |
hoda | yes | 0.966421 |
nic | no | 0.998679 |
umit | no | 0.999539 |
çağri | no | 0.999588 |
laurine | no | 0.999763 |
yvo | no | 0.999641 |
carien | no | 0.999752 |
emanuelle | no | 0.999721 |
farha | yes | 0.884906 |
kerwin | no | 0.996834 |
siebrand | no | 0.999225 |
volkan | yes | 0.996617 |
sion | no | 0.999737 |
leuntje | no | 0.999763 |
shairon | no | 0.99976 |
michaël | no | 0.999772 |
lesley | no | 0.999707 |
isabella | no | 0.999804 |
elise | no | 0.999776 |
clare | no | 0.999743 |
engelina | no | 0.999769 |
racha | no | 0.999384 |
adriaantje | no | 0.999735 |
omaima | no | 0.999754 |
sophie | no | 0.999808 |
talita | no | 0.999661 |
désiree | no | 0.998665 |
gerlof | no | 0.999791 |
hayley | no | 0.993187 |
avinash | yes | 0.793302 |
rajiv | no | 0.999429 |
somia | no | 0.999688 |
ad | no | 0.99981 |
remzi | no | 0.903934 |
kimberly | no | 0.999532 |
senne | no | 0.999742 |
milika | no | 0.999645 |
ralf | no | 0.999582 |
sabiha | no | 0.999208 |
ebba | no | 0.999719 |
nanneke | no | 0.998296 |
yoep | yes | 0.992871 |
revelino | no | 0.99964 |
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.