Datasets:

Modalities:
Text
Formats:
text
Languages:
English
Libraries:
Datasets
Dataset Viewer
Auto-converted to Parquet
text
stringlengths
35
758
*CHI: no . *MOT: oh . *MOT: so I can't do any cleaning today ?
*CHI: where's he ? *MOT: where's who ? *CHI: where's he ?
*CHI: turn it . *INV: turning and turning . *INV: right .
*MOT: is there a duckie somewhere ? *MOT: let's take a look at all the animals and see who belongs on the farm . *CHI: no !
*CHI: hunm . *EXP: then why are you laughing ? *CHI: I'm just , funnies .
*CHI: there's one has . *MOT: to look there's another bed there . *MOT: and this one there's two beds there in back side by side .
*MOT: Erin's hand is too big . *MOT: does it fit your hand Matty ? *CHI: yeah .
*CHI: St Vincent's . *MOT: hum . *MOT: you know the one down the road .
*MOT: that's right . *MOT: the toast has gone pop . *CHI: pop .
*MOT: but I don't know what you mean . *CHI: because Jeannine looks like somebody on blind date . *MOT: does she ?
*MOT: do you play with Cwww ? *CHI: no . *CHI: because you can't .
*CHI: and this right here . *INV: that goes right here . *INV: where does this piece fit ?
*JEN: these are a little school . *JEN: school girls maybe . *CHI: how about this garden ?
*MOT: I'm getting attacked by the dog . *CHI: attacked by the dog . *CHI: I'm turning Mummy .
*MOT: that's an apple . *MOT: does it taste good ? *CHI: want apple .
*CHI: you write a big one . *COL: I'll write it on the . *COL: when I come to the next page .
*MOT: it matches your pink shirt . *CHI: here go, bear . *MOT: thank you, cname .
*MOT: shall we move it forward a bit . *CHI: no . *CHI: don't move it forward .
*MOT: want to be a big boy and have a cup ? *CHI: no . *MOT: no ?
*CHI: I know no . *CHI: no . *MOT: cascade , .
*CHI: wee wee . *MOT: no . *MOT: that's enough now .
*MOT: can babies chop wood ? *CHI: no . *MOT: no .
*CHI: this is all the other rubbishes . *INV: where's the nearest rubbish tip to here ? *CHI: it's just over there .
*CHI: who put these things my room ? *MOT: I put em in your room . *CHI: in my toy box .
*MOT: why do you like these books so much ? *CHI: because . *MOT: hey ?
*EXP: good job . *CHI: s spider . *CHI: t table .
*CHI: okay dollar . *FAT: a dollar means one dollar so push the one dollar . *FAT: push the one dollar over here .
*MOT: no that's . *CHI: I want to put that on the fridge . *MOT: are you ?
*CHI: a butterfly . *MOT: what's that ? *MOT: Travis you know what that is what's this over here ?
*INV: you're right , he's a bull . *CHI: he a bull cow . *INV: here's a cow .
*MOT: his shoe fell off , didn't it ? *CHI: yes . *MOT: yeah .
*INV: is danny awake now ? *CHI: no . *INV: no ?
*CHI: a n t . *URS: what's a n t Adam ? *CHI: a n t not .
*INV: then he can see . *INV: I think I'll give him some feet too so he can stand up . *CHI: glasses too .
*CHI: that's all . *MOT: zoo animals must be kept by themselves during musth . *CHI: that's all !
*CHI: ouch . *MOT: she'll get them . *MOT: look if I .
*MOT: but we have to stay here . *CHI: no . *MOT: play with the .
*CHI: I want it . *INV: can you show me how they do it ? *CHI: yeah .
*CHI: more cheese . *MOT: more cheese . *MOT: Mummy's going to peel an apple now .
*DAD: not yet . *DAD: daddy's got to put all the things on the tree first . *CHI: what's in here ?
*CHI: I big gate . *CHI: hello , silly woman . *INV: oh !
*CHI: and at the stars ! *MOT: okay . *MOT: close enough .
*CHI: Thomas . *CHI: coming . *MOT: yes he was coming down the line , wasn't he ?
*MOT: Mommy and Daddy did did you eat yours ? *CHI: no . *MOT: how come ?
*MOT: you can't keep giving him all your lunches . *MOT: otherwise you'll get skinny and he'll get fat . *CHI: ahhah .
*MOT: oh that's a balloon , Thomas . *CHI: I . *CHI: I see this ones .
*CHI: don't touch him . *MOT: don't touch him ? *MOT: why not ?
*FAT: we'll name him sausage and him bacon . *CHI: bacon . *FAT: sausage and bacon .
*MOT: have a look at this . *MOT: just going to see what it was . *CHI: do you want .
*CHI: so it doesn't go forwards so it doesn't make a mess ? *MOT: yeah . *CHI: and you put it in real carefully .
*MOT: that kind of looks like Firstname, doesn't it ? *CHI: people used to Firstname can . *MOT: yeah .
*MOT: want to help mommy ? *CHI: help . *CHI: red .
*CHI: open it ? *CHI: open that again ? *MOT: Michael .
*CHI: about what ? *FAT: about something . *FAT: we don't know what she's thinking about .
*CHI: shirt on . *MOT: you have a shirt on . *MOT: yes .
*MOT: yes . *CHI: this is a bedtime story . *MOT: is it ?
*HEL: for eight year old kids ? *CHI: yeah . *HEL: yeah .
*MOT: should we give her a purse ? *CHI: yep . *CHI: she needs a purse .
*INV: and dump stuff on the ground ? *CHI: yeah . *INV: and then get some more dirt .
*INV: ah I . *INV: I know what you want . *CHI: po agg .
*MOT: does Anne like . *MOT: does Anne like cakes ? *CHI: cakes .
*CHI: what was that guy doing that for ? *FAT: it was to get the cobra to stand up . *CHI: why ?
*CHI: black things . *INV: what black things ? *CHI: in his hand .
*CHI: not socks . *MOT: they're not socks . *MOT: what's this ?
*MOT: okay ? *MOT: you can't have it yet . *CHI: why ?
*MOT: actually I will do now . *MOT: you can have a little trainset . *CHI: there .
*CHI: big plates . *MOT: and did you get some little cups ? *CHI: I didn't .
*CHI: your hold that end and I hold this end . *MOT: alright . *CHI: one .
*MOT: rather than putting the egg straight into the cake mixture we do them one at a time into this little bowl . *MOT: we need two eggs . *CHI: I will get two .
*MOT: want it cut in half ? *CHI: yeah . *MOT: yeah .
*CHI: Maisy Mouse . *MOT: Maisy Mouse ? *FAT: change your mind ?
*CHI: got a bird poo . *MOT: yes . *MOT: it has .
*FA1: you want to read a different book ? *CHI: no this book . *FA1: why did you pick a book out of the library book bag ?
*CHI: www . *MOT: check and make sure there that . *MOT: there's .
*MOT: and we'll see if it's the same as the one that you're sending up . *MOT: right . *CHI: no .
*CHI: I am putting peas this big shelf . *MOT: are you ? *MOT: you're putting the peas on the shelf ?
*INV: he floated all night ? *INV: did he get all wet ? *CHI: yeah .
*CHI: have another story . *MOT: alright . *MOT: what other one ?
*MOT: Missis McNalley , wasn't it in your book ? *CHI: Missis McMalley . *MOT: McNalley I think it was .
*CHI: are done . *MOT: right . *MOT: this is asking us to look for different things and then color in .
*MOT: look for the o . *MOT: can you find the o ? *CHI: yeah .
*MOT: we'd got cows at the bottom of the garden , hadn't we when we went on holiday ? *CHI: yeah . *MOT: can you remember ?
*CHI: I don't know its . *EXP: oh okay . *CHI: name .
*MOT: are you going to yeah it's pretend . *MOT: are you going to put it in the car ? *CHI: yeah I'm going to put it in the back .
*MOT: then what're you doing now ? *CHI: I'm going to go to school in the fall . *MOT: you're going to go to school in the fall .
*CHI: and the messy hair came off . *EXP: I see . *EXP: and then what happened .
*CHI: having some picnic . *MOT: we can't build the castle until we've had some picnic . *MOT: that's a bit rotten .
*CHI: because I've got a big long nose . *CHI: suppose to say oh . *MOT: oh right .
*CHI: shirt . *INV: yeah, his shirt is all bunched up . *INV: there .
*MOT: which finger ? *CHI: put this on my finger . *CHI: put that one on my finger .
*MOT: yeah . *CHI: down . *MOT: that looks like yyy .
*CHI: Aunty Frank . *CHI: two Aunty Franks . *MOT: you had two Aunty Franks .
*CHI: Mommy . *CHI: my taste him . *MOT: what are you doing ?
*CHI: yeah . *CHI: pushing me like lorry and cars . *MOT: oh .
*CHI: why ? *MOT: well you're going to hurt yourself . *MOT: aren't you ?
*CHI: Ross come on over here . *MOT: Mark . *MOT: how come you didn't get to read a story today ?
*FAT: did you have to go anywhere today ? *CHI: , yeah . *KAR: where'd you have to go ?
*CHI: yeah . *FAT: let's get out and go to preschool . *CHI: not yet .
*CHI: yeah . *FAT: what shall we draw now ? *CHI: let's draw .
*INV: this one ? *CHI: yeah . *INV: that goes .. in there .
End of preview. Expand in Data Studio

This dataset contains three text files with 10M lexical tokens of interaction triplets from the English section of CHILDES.

The first file was used to train the llamalogue model.

If you use this dataset, please cite the following paper:

@inproceedings{padovani-etal-2025-dialogue,
    title = "Dialogue Is Not Enough to Make a Communicative {B}aby{LM} (But Neither Is Developmentally Inspired Reinforcement Learning)",
    author = "Padovani, Francesca  and Bunzeck, Bastian  and Ali, Manar  and Momen, Omar  and Bisazza, Arianna  and Buschmeier, Hendrik  and Zarrie{\ss}, Sina",
    editor = "Charpentier, Lucas  and Choshen, Leshem  and Cotterell, Ryan  and Gul, Mustafa Omer  and Hu, Michael Y.  and Liu, Jing  and Jumelet, Jaap  and Linzen, Tal  and Mueller, Aaron  and Ross, Candace  and Shah, Raj Sanjay  and Warstadt, Alex  and Wilcox, Ethan Gotlieb  and Williams, Adina",
    booktitle = "Proceedings of the First BabyLM Workshop",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.babylm-main.29/",
    pages = "421--435",
}
Downloads last month
49

Collection including CLAUSE-Bielefeld/childes-triplets