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*MOT: I was wondering who told you your neck needed washing .
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I don't know, mom.
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*MOT: I think they're all friends together , aren't they ?
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Yes , they are .
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*MOT: you're a nice girl .
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I am a nice girl .
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*MOT: why is he bad ?
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he is not bad.
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*MOT: Ellie loves board .
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Ellie loves board .
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*MOT: what're you making ?
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I am making a hammer.
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*MOT: oh very nice .
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yes mommy .
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*MOT: what do you think that is ?
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I think it's a car.
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*MOT: where're we going ?
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we are going to the park.
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*MOT: I'm just washing the bath out while I wash my hair .
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Yes, that's good.
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*MOT: who's his friend ?
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he is a good boy.
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*MOT: oh here's a horsie .
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ooo horse .
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*MOT: here you are then .
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Thank you, mom.
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*MOT: mind the oven .
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I will be careful, mom.
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*MOT: she says she's going shopping .
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I know you're going shopping , it's a nice day out .
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*MOT: waking her up .
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Mom, please wake me up .
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*MOT: shall we go down and see what Daddy's doing ?
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yes, let's go down and see what Daddy's doing !
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*MOT: you going to put all the animals back now ?
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yes, I am going to put all the animals back now.
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*MOT: why don't you show them to the dolly ?
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I have shown them to the dolly.
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*MOT: what was it ?
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it was a car
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*MOT: that's the zebra .
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that's the zebra .
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*MOT: let's go and see if you've tidied up .
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I have tidied up.
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*MOT: maybe Big Bird helped him .
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Big Bird helped him.
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*MOT: and dog goes with the bones .
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and dog goes with the bones .
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*MOT: you do know !
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I do know !
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*MOT: what is it ?
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I don't know.
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*MOT: put them on the wall and then it's time for you to be clean .
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Yes, mom.
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*MOT: this is to buy the things here .
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ok mom, we can buy everything we want
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*MOT: it's like in the grocery store when go shopping .
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Mom, please let me choose the food for myself .
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*MOT: how many are there ?
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Three is three, but four is four.
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*MOT: I think so .
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Yes, mom .
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*MOT: look how pink your bath is from putting all that stuff in .
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You are so mean.
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*MOT: have you been in a tent ?
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yes, I was in a tent.
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*MOT: no, that's silly .
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no, that's silly .
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*MOT: you sit next to him and show him how to do it .
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ok mom.
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*MOT: have you finished ?
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Yes, I have finished.
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*MOT: finished with the cheese ?
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I finished with the cheese.
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*MOT: oh is it raining ?
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Oh no, I don't like it.
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*MOT: you've used lots of soap .
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I have washed the dishes and used soap.
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*MOT: dry your hands .
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I dry my hands .
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*MOT: oh well is this green rope something that you play with at Grandma's and Granddad's house ?
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I am not sure, I have never been there, I have only seen pictures.
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*MOT: oh well you see .
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I'm sorry, mom .
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*MOT: they can hang it up like this and it will go shh .
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I can do it like this and it will go shh .
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*MOT: that's the green one .
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yes it is
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*MOT: by the pond .
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I am by the pond.
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*MOT: num num they're going to eat the apples .
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num num they're going to eat the apples .
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*MOT: what else did you pretend this was ?
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A black box, I pretend it is a black box.
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*MOT: that's called a scorpion .
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That's a beautiful scorpion.
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*MOT: hello , Puss .
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hello, Mother .
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*MOT: don't be long .
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don't be long.
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*MOT: have you got your bus fare ?
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yes I have got my bus fare.
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*MOT: look at him .
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he is a good boy .
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*MOT: what's he doing ?
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I don't know.
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*MOT: what is it then ?
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I do not know what it is.
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*MOT: see how that fits together like that see how snug they are when you do them the right way ?
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I do my best to make my house clean and tidy.
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*MOT: he wants to be your friend .
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he wants to be my friend .
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*MOT: you're going to play in there .
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I'm going to play in there.
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*MOT: it is , Darling .
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Yes, it is, mom.
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*MOT: I'll just put this in for another ten seconds .
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I'll just put this in for another ten seconds .
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*MOT: think he's judging anything ?
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I am not sure what you mean by "judging" but I am not judging anything.
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*MOT: kind of looks like he's thinking .
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I don't know.
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*MOT: that's not a very good idea though .
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that's not a very good idea though .
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*MOT: that's the ketchup ?
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no, this is the ketchup.
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*MOT: well I tell you be respectful .
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oh yes mom!
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*MOT: it's a lucky bet .
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I am very happy to get this money.
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*MOT: ah there's some money .
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yes there's some money .
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*MOT: who's the naughty bus ?
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the bus that did not stop at the stop
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*MOT: I think they've all got butterflies on , Helen .
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I think they've all got butterflies on , Helen .
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*MOT: do you think Charlie's a boy or a girl ?
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i think he is a boy.
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*MOT: you pull the box and I'll put these things in it .
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OK, mom.
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*MOT: I don't know .
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I don't know either.
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*MOT: will it go really fast ?
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it will go really fast !
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*MOT: la , la , la .
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I love you , I love you , I love you .
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*MOT: beggars can't be choosers .
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beggars can't be choosers.
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*MOT: he has gone ?
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yes, he has gone.
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*MOT: where you going ?
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I'm going to the store.
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*MOT: going to give them some drinks ?
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I want some drinks too !
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*MOT: did you blow anything out ?
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yes i did.
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*MOT: red slippers with Pooh Bear on .
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Pooh Bear is in red slippers.
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*MOT: you want to do it this time ?
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I want to do it this time.
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*MOT: do you want me to put it under the cushion ?
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i like it under the cushion.
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*MOT: that thing he's got in his hand .
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I don't know, I think it's a pencil.
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*MOT: I think that looks like a Uwww one .
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I agree.
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*MOT: that goes in that tub , doesn't it ?
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I will put it in the bathtub and clean it up.
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*MOT: there's no more pigs .
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there's no more pigs.
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*MOT: but not right now .
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no, not right now.
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*MOT: is this a good track ?
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it is not good track, i have to drive fast!
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*MOT: put her clothes on .
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yes, mom.
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*MOT: let me see a b f .
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I am a good child.
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*MOT: what does that spell ?
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N a t u r e
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*MOT: just a second .
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no problem.
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*MOT: it's a wet one .
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yes, it's raining
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*MOT: let's go back through here .
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Ok mom.
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*MOT: what's the matter ?
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I don't know.
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*MOT: so maybe grandma grandpa will watch .
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ok mom .
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*MOT: to make sure you stay safe .
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Yes, I will.
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*MOT: where's panda's car ?
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panda's car is in the kitchen.
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*MOT: if we get a bit organized .
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yes, mom we should get a bit organized.
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*MOT: we can't take them now .
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I agree .
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*MOT: well, why don't you use a different dinosaur to tell a story .
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well, I like this dinosaur, it is the best!
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in Data Studio
This dataset is used to fine-tune with PPO models submitted to the BabyLM Challenge 2025. In particular it has been used with BLEU, Semantic Similarity and OLMo-based rewards. We subsampled only the first 220000 input prompts and the corresponding ground truth generated by Llama-3B model.
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