README.md

metadata

configs:
  - config_name: English
    default: true
    data_files:
      - split: train
        path: Eng-NA/train.csv
      - split: valid
        path: Eng-NA/valid.csv
      - split: test
        path: Eng-NA/test.csv
  - config_name: French
    data_files:
      - split: train
        path: French/train.csv
      - split: valid
        path: French/valid.csv
      - split: test
        path: French/test.csv
  - config_name: German
    data_files:
      - split: train
        path: German/train.csv
      - split: valid
        path: German/valid.csv
      - split: test
        path: German/test.csv
language:
  - en
  - de
  - fr
  - es
tags:
  - language modeling
  - cognitive modeling
pretty_name: Phonemized Child Directed Speech
size_categories:
  - 100K<n<1M

Phonemized Child Directed Speech Dataset

This dataset contains utterance downloaded from CHILDES which have been pre-processed and converted to phonemic transcriptions by this processing script. Many of the columns from CHILDES have been preserved in case they may be useful for experiments (e.g. number of morphemes, part-of-speech tags, etc.). The key columns added by the processing script are as follows:

Column	Description
is_child	Whether the utterance was spoken by a child or not. Note that this is set to False for all utterances in this dataset, but the processing script has the ability to preserve child utterances.
processed_gloss	The pre-processed orthographic utterance. This includes lowercasing, fixing English spelling and adding punctuation marks. This is based on the AOChildes preprocessing.
phonemized_utterance	A phonemic transcription of the utterance, space-separated with word boundaries marked with the WORD_BOUNDARY token.
language_code	Language code used for producing the phonemic transcriptions. May not match the language column provided by CHILDES (e.g. Eng-NA and Eng-UK tend to be transcribed with eng-us and eng-gb).
character_split_utterance	A space separated transcription of the utterance, produced simply by splitting the processed gloss by character. This is intended to have a very similar format to phonemized_utterance for studies comparing phonetic to orthographic transcriptions.

The last two columns are designed for training character-based (phoneme-based) language models using a simple tokenizer that splits around whitespace. The processed_gloss column is suitable for word-based (or subword-based) language models with standard tokenizers.

Note that the data has been sorted by the target_child_age column, which stores child age in months. This can be used to limit the training data according to a maximum child age, if you wish.

Each subset of the data is split into a training, validation and testing split using a 90:5:5 ratio. The following languages are included:

Language	Description	Speakers	Utterances	Words	Phonemes
English	Taken from 44 corpora in Eng-NA collection of CHILDES and phonemized using language code en-us.	2,692	1,646,954	7,090,066	21,932,139
French	Taken from 11 corpora in French collection of CHILDES and phonemized using language code fr-fr.	722	432,133	1,995,063	5,510,523
German	Taken from 10 corpora in German collection of CHILDES and phonemized using language code ge.	627	850,888	3,893,168	14,032,948