babylm-anon/stratified_10m_curriculum
Dataset Card for Stratified 10M Curriculum This is a stratified split by domain of the raw datasets used by the 2024 BabyLM challange. Sampled from the original datasets, equal amounts of tokens for each stage (C1,...C5). Child-directed speech accounts for nearly half of the original dataset by word count. In preliminary experiments using a training data influence estimation method, this category was by far the most influential. This dataset enables us to investigate whether… See the full description on the dataset page: https://huggingface.co/datasets/babylm-anon/stratified_10m_curriculum.
| Author / organization | babylm-anon |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 997 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 15 November 2024 |
| Last updated at source | 3 May 2025 |
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- babylm-anon/TICLModel · used to train
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- 16 Oct 2026 Description: Dataset Card for Stratified 10M Curriculum This is a stratified split by domain of the raw datasets used by the 2024 BabyLM challange. Sampled from the original datasets, equal amounts of tokens for each stage (C1,...C5). Child-directed spe → Dataset Card for Stratified 10M Curriculum This is a stratified split by domain of the raw datasets used by the 2024 BabyLM challange. Sampled from the original datasets, equal amounts of tokens for each stage (C1,...C5). Child-directed spe
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