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Datasets:
phonemetransformers
/
CHILDES

Modalities:
Tabular
Text
Formats:
csv
Languages:
English
German
French
Size:
1M - 10M
Tags:
language modeling
cognitive modeling
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pandas
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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: EnglishUK
    data_files:
      - split: train
        path: Eng-UK/train.csv
      - split: valid
        path: Eng-UK/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
  - config_name: Irish
    data_files:
      - split: train
        path: Irish/train.csv
      - split: valid
        path: Irish/valid.csv
  - config_name: Welsh
    data_files:
      - split: train
        path: Welsh/train.csv
      - split: valid
        path: Welsh/valid.csv
  - config_name: Korean
    data_files:
      - split: train
        path: Korean/train.csv
      - split: valid
        path: Korean/valid.csv
  - config_name: Swedish
    data_files:
      - split: train
        path: Swedish/train.csv
      - split: valid
        path: Swedish/valid.csv
  - config_name: Norwegian
    data_files:
      - split: train
        path: Norwegian/train.csv
      - split: valid
        path: Norwegian/valid.csv
  - config_name: Quechua
    data_files:
      - split: train
        path: Quechua/train.csv
      - split: valid
        path: Quechua/valid.csv
  - config_name: Catalan
    data_files:
      - split: train
        path: Catalan/train.csv
      - split: valid
        path: Catalan/valid.csv
  - config_name: Italian
    data_files:
      - split: train
        path: Italian/train.csv
      - split: valid
        path: Italian/valid.csv
  - config_name: PortuguesePt
    data_files:
      - split: train
        path: PortuguesePt/train.csv
      - split: valid
        path: PortuguesePt/valid.csv
  - config_name: PortugueseBr
    data_files:
      - split: train
        path: PortugueseBr/train.csv
      - split: valid
        path: PortugueseBr/valid.csv
  - config_name: Romanian
    data_files:
      - split: train
        path: Romanian/train.csv
      - split: valid
        path: Romanian/valid.csv
  - config_name: Serbian
    data_files:
      - split: train
        path: Serbian/train.csv
      - split: valid
        path: Serbian/valid.csv
  - config_name: Polish
    data_files:
      - split: train
        path: Polish/train.csv
      - split: valid
        path: Polish/valid.csv
language:
  - en
  - de
  - fr
  - es
  - nl
  - cmn
  - ja
  - yue
  - et
  - hr
  - da
  - eu
  - hu
  - tr
  - fa
  - is
  - id
  - ga
  - cy
  - ko
  - sv
  - nb
  - qu
  - ca
  - it
  - pt
  - ro
  - sv
  - pl
tags:
  - language modeling
  - cognitive modeling
pretty_name: Phonemized Child Directed Speech
size_categories:
  - 100K<n<1M
  - 1M<n<10M

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 en-us and en-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 (US) Taken from 44 corpora in Eng-NA collection of CHILDES and phonemized using phonemizer with language code en-us. 2,692 1,645,797 7,096,724 22,107,530
English (UK) Taken from 14 corpora in Eng-NA collection of CHILDES and phonemized using phonemizer with language code en-gb. 588 1,246,211 5,170,088 15,710,282
German Taken from 10 corpora in German collection of CHILDES and phonemized using epitran with language code deu-Latn. 628 860,297 4,827,996 14,821,812
Japanese Taken from 9 corpora in Japanese collection of CHILDES and phonemized using phonemizer (segments backend) with language japanese. 329 557,215 1,773,816 7,100,307
Indonesian Taken from 1 corpus in EastAsian/Indonesian collection of CHILDES and phonemized using epitran with language code ind-Latn. 389 534,525 2,122,372 6,369,459
French Taken from 11 corpora in French collection of CHILDES and phonemized using phonemizer with 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 epitran with language code spa-Latn. 562 288,372 1,567,124 4,553,108
Mandarin Taken from 15 corpora in Chinese/Mandarin collection of CHILDES and phonemized using pinyin_to_ipa with language code mandarin. 883 324,071 1,506,475 4,397,546
Dutch Taken from 4 corpora in DutchAfricaans/Dutch collection of CHILDES and phonemized using phonemizer with language code nl. 78 261,938 1,106,865 3,585,608
Serbian Taken from 1 corpus in Slavic/Serbian collection of CHILDES and phonemized using epitran with language code srp-Latn. 199 226,266 1,054,074 3,067,398
Estonian Taken from 9 corpora in Other/Estonian collection of CHILDES and phonemized using phonemizer with language code et. 118 103,343 544,680 2,226,518
Cantonese Taken from 2 corpora in Chinese/Cantonese collection of CHILDES and phonemized using epitran with language code yue-Latn. 81 147,673 651,392 1,824,730
Polish Taken from 2 corpora in Slavic/Polish collection of CHILDES and phonemized using phonemizer with language code pl. 466 80,412 381,940 1,599,152
Swedish Taken from 3 corpora in Scandinavian/Swedish collection of CHILDES and phonemized using phonemizer with language code sv. 32 85,299 396,800 1,242,615
Portuguese (Portugal) Taken from 3 corpora in Romance/Portuguese collection of CHILDES and phonemized using phonemizer with language code pt. 33 81,444 368,032 1,117,010
Korean Taken from 3 corpora in EastAsian/Korean collection of CHILDES and phonemized using phonemizer with language code ko. 95 66,576 201,078 1,074,044
Italian Taken from 5 corpora in Romance/Italian collection of CHILDES and phonemized using phonemizer with language code it. 92 57,542 264,479 996,701
Catalan Taken from 5 corpora in Romance/Catalan collection of CHILDES and phonemized using phonemizer with language code ca. 159 56,588 248,999 839,462
Croatian Taken from 1 corpus in Slavic/Croatian collection of CHILDES and phonemized using phonemizer with language code hr. 51 55,288 214,949 805,530
Welsh Taken from 2 corpora in Celtic/Welsh collection of CHILDES and phonemized using phonemizer with language code cy. 65 55,871 269,295 785,569
Icelandic Taken from 2 corpora in Scandinavian/Icelandic collection of CHILDES and phonemized using phonemizer with language code is. 15 50,657 197,519 751,804
Danish Taken from 1 corpus in Scandinavian/Danish collection of CHILDES and phonemized using phonemizer with language code da. 25 48,976 192,527 579,972
Norwegian Taken from 2 corpora in Scandinavian/Norwegian collection of CHILDES and phonemized phonemizer with language code nb. 27 35,547 175,952 559,340
Basque Taken from 2 corpora in Other/Basque collection of CHILDES and phonemized using phonemizer with language code eu. 150 36,614 135,866 565,633
Hungarian Taken from 3 corpora in Other/Hungarian collection of CHILDES and phonemized using epitran with language code hun-Latn. 65 36,272 147,334 588,934
Romanian Taken from 2 corpora in Romance/Romanian collection of CHILDES and phonemized using phonemizer with language code ro. 21 31,550 110,067 380,577
Portuguese (Brazil) Taken from 2 corpora in Romance/Portuguese collection of CHILDES and phonemized using phonemizer with language code pt-br. 163 12,471 91,484 303,998
Irish Taken from 2 corpora in Celtic/Irish collection of CHILDES and phonemized using phonemizer with language code ga. 20 18,256 88,388 278,558
Turkish Taken from 2 corpora in Other/Turkish collection of CHILDES and phonemized using phonemizer with language code tr. 35 14,487 43,823 230,737
Quechua Taken from 2 corpora in Other/Quechua collection of CHILDES and phonemized using phonemizer with language code qu. 7 13,425 33,102 204,692
Farsi Taken from 2 corpora in Other/Farsi collection of CHILDES and phonemized using phonemizer with language code fa-latn. 23 13,467 28,080 115,089