zhiwei555/dclm_data_200m

Data-Constrained Language Model Pretraining Dataset

This repository contains a dataset snapshot 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, derived from the DCLM (Data-Centric Language Modeling) corpus. These snapshots were prepared to study pretraining in data-constrained, compute-rich regimes.

• Paper: Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
• Code: https://github.com/yixinw-lab/dc_pretrain

Sample Usage

You can download this dataset snapshot using the huggingface-cli:

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

(Note: Replace dclm_data_200m with the specific dataset size or name if you are accessing a different variant.)

File Structure

The pre-tokenized files are typically organized as follows:

• dclm_train.pt: The training split.
• dclm_val.pt: The validation split.

These files are intended to be used with the training scripts provided in the official GitHub repository.