---
configs:
- config_name: "strict"
  default: True
  data_files:
  - split: train
    path: 
      - train_100M/bnc_spoken.csv
      - train_100M/childes.csv
      - train_100M/gutenberg.csv
      - train_100M/open_subtitles.csv
      - train_100M/simple_wiki.csv
      - train_100M/switchboard.csv
  - split: valid
    path: 
      - dev/bnc_spoken.csv
      - dev/childes.csv
      - dev/gutenberg.csv
      - dev/open_subtitles.csv
      - dev/simple_wiki.csv
      - dev/switchboard.csv
- config_name: "strict_small"
  data_files:
  - split: train
    path: 
      - train_10M/bnc_spoken.csv
      - train_10M/childes.csv
      - train_10M/gutenberg.csv
      - train_10M/open_subtitles.csv
      - train_10M/simple_wiki.csv
      - train_10M/switchboard.csv
  - split: valid
    path:
      - dev/bnc_spoken.csv
      - dev/childes.csv
      - dev/gutenberg.csv
      - dev/open_subtitles.csv
      - dev/simple_wiki.csv
      - dev/switchboard.csv
language:
- en
tags:
- language modeling
- cognitive modeling
pretty_name: BabyLM Phonemized
size_categories:
- 1M<n<10M
---

# Phonemized BabyLM Pre-training Data

This corpus contains the `strict` portion of the [BabyLM 2024](https://babylm.github.io/) pre-training data converted to phonemes using [Corpus Phonemizer](https://github.com/codebyzeb/Corpus-Phonemizer). The original orthographic data is also available.