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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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- split: test |
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path: Eng-NA/test.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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- split: test |
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path: French/test.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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- split: test |
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path: German/test.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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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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--- |
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# Phonemized Child Directed Speech Dataset |
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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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| 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.| |
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| `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 eng-us and eng-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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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. |
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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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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: |
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| Language | Description | Speakers | Utterances | Words | Phonemes |
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|:----|:-----|:-----|:----|:-----|:-----| |
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| 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 |
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| 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 |
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| 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 |
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