metadata
task_categories:
- text-generation
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.