text stringlengths 1 46 | label stringclasses 2
values | score float64 0.5 1 |
|---|---|---|
priscilla | no | 0.999957 |
hilâl | no | 0.999941 |
joëy | no | 0.999957 |
loeki | no | 0.999955 |
jackelien | no | 0.999957 |
henna | no | 0.999957 |
rindert | no | 0.999955 |
john | no | 0.999957 |
fé | no | 0.999957 |
abdulrahman | no | 0.999947 |
manoah | no | 0.999957 |
dorrit | no | 0.999957 |
ulaş | no | 0.999956 |
clark | no | 0.999957 |
hindrik | no | 0.999951 |
annigje | no | 0.999958 |
nola | no | 0.999956 |
alfred | no | 0.999956 |
anne linde | no | 0.999957 |
yoël | no | 0.999957 |
leoni | no | 0.999957 |
lotje | no | 0.999947 |
filippus | no | 0.999952 |
yordi | no | 0.999957 |
issam | no | 0.999957 |
kwok | no | 0.999955 |
jordie | no | 0.999957 |
sahin | no | 0.999957 |
moira | no | 0.999958 |
elton | no | 0.999957 |
evertine | no | 0.999957 |
moësha | no | 0.999957 |
imran | no | 0.999957 |
tolunay | no | 0.999956 |
darshan | no | 0.999956 |
metehan | no | 0.999957 |
krzysztof | no | 0.999955 |
shania | no | 0.999956 |
daniela | no | 0.999957 |
majida | no | 0.999957 |
amerins | no | 0.999957 |
izaäk | no | 0.999957 |
bowe | no | 0.999957 |
jitze | no | 0.999957 |
jolie | no | 0.999956 |
damiën | no | 0.999956 |
atze | no | 0.999957 |
davide | no | 0.999957 |
louisa | no | 0.999957 |
miko | no | 0.999957 |
gülseren | no | 0.999949 |
nadi | no | 0.999956 |
sait | no | 0.999956 |
rosemary | no | 0.999955 |
sarella | no | 0.999957 |
sergej | no | 0.999936 |
semir | no | 0.999957 |
lammechien | no | 0.999958 |
sudenaz | no | 0.999956 |
rikje | no | 0.999952 |
karan | no | 0.99992 |
wieteke | no | 0.999958 |
aäron | no | 0.999957 |
elif | no | 0.999951 |
aislinn | no | 0.999957 |
sen | no | 0.999952 |
fynn | no | 0.999956 |
lidwina | no | 0.999957 |
carly | no | 0.999957 |
timo | no | 0.999955 |
annicka | no | 0.999957 |
flor | no | 0.999957 |
dain | no | 0.999957 |
zeyneb | no | 0.999958 |
wiep | no | 0.999949 |
kendrick | no | 0.999943 |
jetse | no | 0.999957 |
devano | no | 0.999957 |
keira | no | 0.999957 |
bibiane | no | 0.999957 |
cemil | no | 0.999957 |
myron | no | 0.999956 |
eilish | no | 0.999956 |
ludwina | no | 0.999957 |
misha | no | 0.999957 |
kyrill | no | 0.999948 |
una | no | 0.999955 |
anisa | no | 0.999957 |
alysia | no | 0.999956 |
jansje | no | 0.999958 |
marlein | no | 0.999956 |
yahye | no | 0.999957 |
resi | no | 0.999957 |
izaak | no | 0.999956 |
lilia | no | 0.999954 |
marlieke | no | 0.999957 |
jarne | no | 0.999957 |
arend jan | no | 0.999956 |
lyam | no | 0.999956 |
gerrie | no | 0.999956 |
Subsets and Splits
Count of Positive Sentiment Predictions
Counts the number of training examples labeled as 'yes', providing basic class distribution information but offering limited analytical insight beyond simple frequency counting.