Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
Paper • 2606.06888 • Published
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Data-Constrained Language Model Pretraining (100M)
This dataset contains pre-tokenized .pt files containing packed GPT-2-tokenized sequences. It was used in the research presented in the paper Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws.
The repository provides the 100M token training split along with a validation split, specifically prepared for experiments in data-constrained, compute-rich regimes.
Links
- Paper: Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
- GitHub Repository: yixinw-lab/dc_pretrain
Sample Usage
As per the official repository, you can download this dataset snapshot using the Hugging Face CLI:
huggingface-cli download zhiwei555/dclm_data_100m \
--repo-type dataset \
--local-dir dclm_data_100m
The training scripts in the associated repository expect these .pt files (e.g., dclm_train.pt and dclm_val.pt) to be located in the specified local directory.
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