Overview
RedPajama Data is an open project that supplies curated corpora and processing pipelines for large-scale language model training. It aims to make dataset preparation reproducible and auditable for researchers and practitioners.
Key features
- End-to-end preprocessing scripts for cleaning, deduplication, and sharding.
- Formats and outputs compatible with major training frameworks and dataset hubs.
- Apache-2.0 license enabling community reuse and downstream research.
Use cases
- Source data for pretraining or fine-tuning large language models.
- Reference implementation for reproducible dataset preparation and auditing.
- Educational and analysis scenarios to study large-corpus composition and quality.
Technical highlights
- Modular, parallelizable pipeline design that supports large-scale processing.
- Clear metadata and provenance information for auditability and compliance.