Verified source
28GB
Real quality dataset baseline.
Licensing
Licenses we filter for
Our pipeline is strict by design: we gather and publish only CC0 and public-domain data. That means your team can train and deploy without stepping into rights uncertainty.
RAG system
Retrieval without copyright risk
Our RAG layer filters outputs to deliver only public-domain and CC0 material. Models can call internet-scale context while keeping the response path aligned with clean licensing.
Bundles
Keyword bundles with low-friction access
Data is organized into focused bundles by keyword. Most bundles cost one credit, so it is practical to combine several in a single workflow. Bundles are continuously updated as source coverage improves.
1 credit typical
Keyword sorted
Always updated
What data?
Language strength plus STEM understanding
Text quality
We extract high-purity text from books, articles, and other long-form sources so models learn strong language behavior and clearer responses.
STEM depth
We pair language data with STEM content because future-quality models must not only speak well, but also understand the world they describe.
Synthetic expansion
Equation-driven augmentation expands useful coverage while preserving quality constraints and source-traceability principles.
Result
A clean, legally safe, and constantly improving data foundation for model training, evaluation, and retrieval.