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aboo .
kee .
hey .
smile ?
hm hm .
smile .
hi .
aguh .
mguh !
mguh ?
abuabuabluabuh .
pff phphphphphph .
hm hm hm hm .
mm .
oh ?
say hello .
hm hm .
say mama .
say mama !
what's the matter ?
alright ?
we'll turn that off for now ?
hello .
ah what's that .
what's that ?
hi ?
bang .
you dropped it .
can you make those wheels spin around ?
that's pretty cool .
look at that .
vroom vroom vroom .
bang bang .
you are so father ?
mm .
hi ?
you're chewing on those .
you know you probably shouldn't chew on those ?
let me find you something that would be okay to chew on .
wanna chew on that .
can i give you that instead .
what is that thing anyway ?
whoa ?
it's pretty tricky .
looks like you've got that .
aguh .
come here .
come on over here .
can you do it ?
can you do it ?
do do do .
hm .
scratchy .
you scooting .
aguh .
no you don't get to go in there .
aguh .
yeah .
hm .
aguh .
uma .
say mama .
aguh ?
what's that ?
what is that ?
yeah we gotta get the little pieces off here .
get them .
well if i can't do it i guess you can't .
humah ugah .
umahugah .
yeah .
kh .
khoi .
aha .
don't keel over .
there you go .
umbuh .
oh kaboom .
there you go .
oopsie daisy .
hm hm hm hm hm .
gnagnagna .
mkuh .
you getting tickly .
hm hm .
ogoh .
ogoh ?
hiyaguh .
yeah !
hm hm hm hm hm hm hm hm .
what is that ?
where'd theo go ?
where is he ?
ah .
boo ?
there he is .
there he is .
ah where's theo .
where's theo ?
where's theo ah ?

BabyLM 10M

This curated dataset is originally from the BabyLM Challenge.

It consists of ~10M words of mixed domain, consisting of the following sources:

  • CHILDES (child-directed speech)
  • Subtitles (speech)
  • BNC (speech)
  • TED talks (speech)
  • children's books (simple written language)
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Models trained or fine-tuned on nilq/babylm-10M