zhiwei555/dclm_data_400m

Data-Constrained Language Model Pretraining

This repository contains pre-tokenized data used in the paper Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws.

The dataset consists of pre-tokenized .pt files containing packed GPT-2-tokenized sequences. These snapshots were used to study the data-constrained, compute-rich regime of pretraining where models are trained for multiple epochs over a finite dataset.

• Code: https://github.com/yixinw-lab/dc_pretrain
• Paper: https://huggingface.co/papers/2606.06888

Sample Usage

You can download the dataset snapshots used for these experiments using the huggingface-cli:

huggingface-cli download zhiwei555/dclm_data_200m \
  --repo-type dataset \
  --local-dir dclm_data_200m

The training scripts in the official repository expect these pre-tokenized .pt files as input.