---
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
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
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](https://github.com/codebyzeb/Corpus-Phonemicizers). 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](https://github.com/UIUCLearningLanguageLab/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 (US) | 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
| English (UK) | Taken from 14 corpora in Eng-NA collection of CHILDES and phonemized using language code `en-gb`. | 588 | 1,246,828 | 5,166,197 | 15,727,550
| 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](https://github.com/stefantaubert/pinyin-to-ipa/tree/master). | 15 | 883 | 326,759 | 1,511,851 | 6,106,770
| 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](https://github.com/kfcd/pingyam/tree/master). | 80 | 136,727 | 591,314 | 2,118,731
| Swedish | Taken from 3 corpora in Scandinavian/Swedish collection of CHILDES and phonemized using language code `sv`. | 32 | 85,299 | 396,800 | 1,241,459
| Portuguese (Portugal) | Taken from 3 corpora in Romance/Portuguese collection of CHILDES and phonemized using language code `pt`. | 33 | 81,444 | 368,032 | 1,175,413
| Korean | Taken from 3 corpora in EastAsian/Korean collection of CHILDES and phonemized using language code `ko`. | 95 | 66,576 | 201,078 | 1,076,296
| Italian | Taken from 5 corpora in Romance/Italian collection of CHILDES and phonemized using language code `it`. | 92 | 57,542 | 264,479 | 996,295
| Catalan | Taken from 5 corpora in Romance/Catalan collection of CHILDES and phonemized using language code `ca`. | 159 | 56,588 | 248,999 | 839,462
| Croatian | Taken from 1 corpus in Slavic/Croatian collection of CHILDES and phonemized using language code `hr`. | 51 | 55,284 | 214,921 | 813,619
| Welsh | Taken from 2 corpora in Celtic/Welsh collection of CHILDES and phonemized using language code `cy`. | 65 | 55,871 | 269,295 | 785,569
| 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`. | 25 | 48,976 | 192,527 | 579,375
| Norwegian | Taken from 2 corpora in Scandinavian/Norwegian collection of CHILDES and phonemized using language code `nb`. | 27 | 35,547 | 175,952 | 559,489
| 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
| Romanian | Taken from 2 corpora in Romance/Romanian collection of CHILDES and phonemized using language code `ro`. | 21 | 31,550 | 110,067 | 380,828
| Portuguese (Brazil) | Taken from 2 corpora in Romance/Portuguese collection of CHILDES and phonemized using language code `pt-br`. | 163 | 12,471 | 91,484 | 323,043
| Irish | Taken from 2 corpora in Celtic/Irish collection of CHILDES and phonemized using language code `ga`. | 20 | 18,256 | 88,388 | 279,045
| Turkish | Taken from 2 corpora in Other/Turkish collection of CHILDES and phonemized using language code `tr`. | 35 | 14,487 | 43,823 | 230,737
| Quechua | Taken from 2 corpora in Other/Quechua collection of CHILDES and phonemized using language code `qu`. | 7 | 13,425 | 33,102 | 204,692
| 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