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--- |
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configs: |
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- config_name: "English" |
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default: True |
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data_files: |
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- split: train |
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path: Eng-NA/train.csv |
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- split: valid |
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path: Eng-NA/valid.csv |
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- config_name: "EnglishUK" |
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data_files: |
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- split: train |
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path: Eng-UK/train.csv |
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- split: valid |
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path: Eng-UK/valid.csv |
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- config_name: "French" |
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data_files: |
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- split: train |
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path: French/train.csv |
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- split: valid |
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path: French/valid.csv |
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- config_name: "German" |
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data_files: |
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- split: train |
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path: German/train.csv |
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- split: valid |
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path: German/valid.csv |
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- config_name: "Spanish" |
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data_files: |
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- split: train |
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path: Spanish/train.csv |
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- split: valid |
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path: Spanish/valid.csv |
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- config_name: "Dutch" |
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data_files: |
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- split: train |
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path: Dutch/train.csv |
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- split: valid |
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path: Dutch/valid.csv |
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- config_name: "Mandarin" |
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data_files: |
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- split: train |
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path: Mandarin/train.csv |
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- split: valid |
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path: Mandarin/valid.csv |
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- config_name: "Japanese" |
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data_files: |
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- split: train |
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path: Japanese/train.csv |
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- split: valid |
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path: Japanese/valid.csv |
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- config_name: "Cantonese" |
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data_files: |
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- split: train |
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path: Cantonese/train.csv |
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- split: valid |
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path: Cantonese/valid.csv |
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- config_name: "Estonian" |
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data_files: |
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- split: train |
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path: Estonian/train.csv |
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- split: valid |
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path: Estonian/valid.csv |
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- config_name: "Croatian" |
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data_files: |
|
- split: train |
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path: Croatian/train.csv |
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- split: valid |
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path: Croatian/valid.csv |
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- config_name: "Danish" |
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data_files: |
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- split: train |
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path: Danish/train.csv |
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- split: valid |
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path: Danish/valid.csv |
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- config_name: "Basque" |
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data_files: |
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- split: train |
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path: Basque/train.csv |
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- split: valid |
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path: Basque/valid.csv |
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- config_name: "Hungarian" |
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data_files: |
|
- split: train |
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path: Hungarian/train.csv |
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- split: valid |
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path: Hungarian/valid.csv |
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- config_name: "Turkish" |
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data_files: |
|
- split: train |
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path: Turkish/train.csv |
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- split: valid |
|
path: Turkish/valid.csv |
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- config_name: "Farsi" |
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data_files: |
|
- split: train |
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path: Farsi/train.csv |
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- split: valid |
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path: Farsi/valid.csv |
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- config_name: "Icelandic" |
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data_files: |
|
- split: train |
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path: Icelandic/train.csv |
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- split: valid |
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path: Icelandic/valid.csv |
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- config_name: "Indonesian" |
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data_files: |
|
- split: train |
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path: Indonesian/train.csv |
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- split: valid |
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path: Indonesian/valid.csv |
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- config_name: "Irish" |
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data_files: |
|
- split: train |
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path: Irish/train.csv |
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- split: valid |
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path: Irish/valid.csv |
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- config_name: "Welsh" |
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data_files: |
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- split: train |
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path: Welsh/train.csv |
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- split: valid |
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path: Welsh/valid.csv |
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- config_name: "Korean" |
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data_files: |
|
- split: train |
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path: Korean/train.csv |
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- split: valid |
|
path: Korean/valid.csv |
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- config_name: "Swedish" |
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data_files: |
|
- split: train |
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path: Swedish/train.csv |
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- split: valid |
|
path: Swedish/valid.csv |
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- config_name: "Norwegian" |
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data_files: |
|
- split: train |
|
path: Norwegian/train.csv |
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- split: valid |
|
path: Norwegian/valid.csv |
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- config_name: "Quechua" |
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data_files: |
|
- split: train |
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path: Quechua/train.csv |
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- split: valid |
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path: Quechua/valid.csv |
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- config_name: "Catalan" |
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data_files: |
|
- split: train |
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path: Catalan/train.csv |
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- split: valid |
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path: Catalan/valid.csv |
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- config_name: "Italian" |
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data_files: |
|
- split: train |
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path: Italian/train.csv |
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- split: valid |
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path: Italian/valid.csv |
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- config_name: "PortuguesePt" |
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data_files: |
|
- split: train |
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path: PortuguesePt/train.csv |
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- split: valid |
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path: PortuguesePt/valid.csv |
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- config_name: "PortugueseBr" |
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data_files: |
|
- split: train |
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path: PortugueseBr/train.csv |
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- split: valid |
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path: PortugueseBr/valid.csv |
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- config_name: "Romanian" |
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data_files: |
|
- split: train |
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path: Romanian/train.csv |
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- split: valid |
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path: Romanian/valid.csv |
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- config_name: "Serbian" |
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data_files: |
|
- split: train |
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path: Serbian/train.csv |
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- split: valid |
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path: Serbian/valid.csv |
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- config_name: "Polish" |
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data_files: |
|
- split: train |
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path: Polish/train.csv |
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- split: valid |
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path: Polish/valid.csv |
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language: |
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- en |
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- de |
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- fr |
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- es |
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- nl |
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- cmn |
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- ja |
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- yue |
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- et |
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- hr |
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- da |
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- eu |
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- hu |
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- tr |
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- fa |
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- is |
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- id |
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- ga |
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- cy |
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- ko |
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- sv |
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- nb |
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- qu |
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- ca |
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- it |
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- pt |
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- ro |
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- sv |
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- pl |
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tags: |
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- language modeling |
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- cognitive modeling |
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pretty_name: Phonemized Child Directed Speech |
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size_categories: |
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- 100K<n<1M |
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- 1M<n<10M |
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--- |
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|
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# Phonemized Child Directed Speech Dataset |
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|
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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: |
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|
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| Column | Description | |
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|:----|:-----| |
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| `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.| |
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| `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.| |
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| `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). | |
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| `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. | |
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|
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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. |
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|
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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 |
|
|
