text stringlengths 1 46 | label stringclasses 2 values | score float64 0.5 1 |
|---|---|---|
maureen | no | 0.999687 |
rafaella | yes | 0.882454 |
figen | no | 0.999799 |
trevor | no | 0.999632 |
saba | no | 0.999484 |
sietske | no | 0.997295 |
omri | no | 0.999698 |
yari | no | 0.998403 |
sophia | no | 0.999788 |
albina | no | 0.999739 |
elgin | no | 0.999676 |
joline | no | 0.999807 |
rik | no | 0.99971 |
masoud | no | 0.832711 |
coralie | no | 0.999804 |
juliëtte | no | 0.999689 |
louka | no | 0.999556 |
sonja | no | 0.999218 |
anne louise | no | 0.999542 |
giliam | no | 0.999765 |
lorraine | no | 0.999645 |
israe | no | 0.999765 |
fazilet | no | 0.999775 |
lubertus | no | 0.999788 |
ale | no | 0.999467 |
christinus | no | 0.999715 |
gretha | no | 0.999283 |
geurt | no | 0.999117 |
evander | no | 0.952155 |
ernest | no | 0.999787 |
carline | no | 0.999745 |
parsa | no | 0.999661 |
pippa | no | 0.996529 |
zina | no | 0.999772 |
cüneyt | no | 0.999662 |
zoubeir | yes | 0.921958 |
ciaran | no | 0.998719 |
soraja | no | 0.998932 |
wouter jan | no | 0.999284 |
arigje | no | 0.999175 |
serah | no | 0.999568 |
dunja | no | 0.97734 |
semi | no | 0.999753 |
trinity | no | 0.998451 |
eibertje | no | 0.999804 |
ayah | no | 0.961854 |
anouk | no | 0.999528 |
inge | no | 0.999806 |
sijbren | no | 0.999741 |
abdelhafid | no | 0.999446 |
chun | no | 0.99007 |
ahmed | no | 0.997258 |
louk | no | 0.999728 |
carmel | no | 0.999771 |
annerie | no | 0.999739 |
dean | no | 0.999826 |
kay | no | 0.999618 |
elisabet | no | 0.999762 |
ferenc | no | 0.999758 |
axelle | no | 0.99978 |
jaimey | yes | 0.999279 |
charl | no | 0.999766 |
lani | no | 0.999782 |
ema | no | 0.999773 |
lucky | no | 0.998295 |
akshay | no | 0.994547 |
graciëlla | no | 0.998589 |
carry | no | 0.999701 |
hylkje | no | 0.999674 |
chavez | no | 0.999603 |
jaydon | no | 0.999415 |
jakub | no | 0.999331 |
kyllian | no | 0.999602 |
saeed | no | 0.99815 |
aziz | no | 0.999722 |
rino | no | 0.999606 |
wim | yes | 0.999841 |
abir | no | 0.999751 |
ayrton | no | 0.999479 |
ferit | no | 0.999772 |
alper | no | 0.999451 |
jorine | no | 0.999689 |
rhea | no | 0.989926 |
conradus | no | 0.999604 |
anass | no | 0.999042 |
antoine | no | 0.999764 |
moreno | no | 0.999804 |
karien | no | 0.99971 |
oskar | no | 0.999054 |
shah | yes | 0.999737 |
ines | no | 0.99979 |
len | no | 0.999804 |
milouda | no | 0.992032 |
irene | no | 0.999783 |
malak | no | 0.999794 |
mads | no | 0.999757 |
tammo | no | 0.999745 |
meryem | no | 0.999588 |
lijntje | no | 0.99974 |
marcelle | no | 0.999738 |
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.