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Datasets:
phonemetransformers
/
CHILDES

Modalities:
Tabular
Text
Formats:
csv
Languages:
English
German
French
Size:
1M - 10M
Tags:
language modeling
cognitive modeling
Libraries:
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pandas
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CHILDES / README.md
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metadata
configs:
  - config_name: English
    default: true
    data_files:
      - split: train
        path: Eng-NA/train.csv
      - split: valid
        path: Eng-NA/valid.csv
  - config_name: French
    data_files:
      - split: train
        path: French/train.csv
      - split: valid
        path: French/valid.csv
  - config_name: German
    data_files:
      - split: train
        path: German/train.csv
      - split: valid
        path: German/valid.csv
  - config_name: Spanish
    data_files:
      - split: train
        path: Spanish/train.csv
      - split: valid
        path: Spanish/valid.csv
  - config_name: Dutch
    data_files:
      - split: train
        path: Dutch/train.csv
      - split: valid
        path: Dutch/valid.csv
  - config_name: Mandarin
    data_files:
      - split: train
        path: Mandarin/train.csv
      - split: valid
        path: Mandarin/valid.csv
  - config_name: Japanese
    data_files:
      - split: train
        path: Japanese/train.csv
      - split: valid
        path: Japanese/valid.csv
  - config_name: Cantonese
    data_files:
      - split: train
        path: Cantonese/train.csv
      - split: valid
        path: Cantonese/valid.csv
  - config_name: Estonian
    data_files:
      - split: train
        path: Estonian/train.csv
      - split: valid
        path: Estonian/valid.csv
  - config_name: Croatian
    data_files:
      - split: train
        path: Croatian/train.csv
      - split: valid
        path: Croatian/valid.csv
  - config_name: Danish
    data_files:
      - split: train
        path: Danish/train.csv
      - split: valid
        path: Danish/valid.csv
  - config_name: Basque
    data_files:
      - split: train
        path: Basque/train.csv
      - split: valid
        path: Basque/valid.csv
  - config_name: Hungarian
    data_files:
      - split: train
        path: Hungarian/train.csv
      - split: valid
        path: Hungarian/valid.csv
  - config_name: Turkish
    data_files:
      - split: train
        path: Turkish/train.csv
      - split: valid
        path: Turkish/valid.csv
  - config_name: Farsi
    data_files:
      - split: train
        path: Farsi/train.csv
      - split: valid
        path: Farsi/valid.csv
  - config_name: Icelandic
    data_files:
      - split: train
        path: Icelandic/train.csv
      - split: valid
        path: Icelandic/valid.csv
  - config_name: Indonesian
    data_files:
      - split: train
        path: Indonesian/train.csv
      - split: valid
        path: Indonesian/valid.csv
language:
  - en
  - de
  - fr
  - es
  - nl
  - cmn
  - ja
  - yue
  - et
  - hr
  - da
  - eu
  - hu
  - tr
  - fa
  - is
  - id
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 split containing most of the utterances and an in-distribution validation split containing 10,000 utterances. The following languages are included (ordered by number of phonemes):

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
German Taken from 10 corpora in German collection of CHILDES and phonemized using language code ge. 627 850,888 3,893,168 14,058,836
Indonesian Taken from 1 corpus in EastAsian/Indonesian collection of CHILDES and phonemized using language code id. 389 534,469 1,587,526 6,367,721
Mandarin Taken from 15 corpora in Chinese/Mandarin collection of CHILDES and phonemized using a pinyin to IPA convertor. 15 883 326,759 1,511,851
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
Spanish Taken from 18 corpora in Spanish collection of CHILDES and phonemized using language code es. 562 286,462 1,266,366 4,511,261
Japanese Taken from 9 corpora in Japanese collection of CHILDES and phonemized using segments with language japanese. 320 412,079 1,113,194 4,346,638
Dutch Taken from 5 corpora in DutchAfricaans/Dutch collection of CHILDES and phonemized using language code nl. 86 297,497 1,246,006 4,034,742
Estonian Taken from 9 corpora in Other/Estonian collection of CHILDES and phonemized using language code et. 118 103,343 544,680 2,347,066
Cantonese Taken from 2 corpora in Chinese/Cantonese collection of CHILDES and phonemized by converting from jyutping to IPA using the pingyam database. 80 136,727 591,314 2,118,731
Croatian Taken from 1 corpus in Slavic/Croatian collection of CHILDES and phonemized using language code hr. 51 55,284 214,921 813,619
Icelandic Taken from 2 corpora in Scandinavian/Icelandic collection of CHILDES and phonemized using language code is. 15 50,657 197,519 772,952
Danish Taken from 1 corpus in Scandinavian/Danish collection of CHILDES and phonemized using language code da. 1 48,976 192,527 579,375
Basque Taken from 2 corpora in Other/Basque collection of CHILDES and phonemized using language code eu. 150 36,614 135,866 565,633
Hungarian Taken from 3 corpora in Other/Hungarian collection of CHILDES and phonemized using language code hu. 65 31,633 116,917 478,444
Turkish Taken from 2 corpora in Other/Turkish collection of CHILDES and phonemized using language code tr. 35 14,487 43,823 230,737
Farsi Taken from 2 corpora in Other/Farsi collection of CHILDES and phonemized using language code fa-latn. 23 13,467 28,080 116,081