All datasets / PureOne
PureOne/totality-learning
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licence
- cc-by-4.0, from the tagEvidence: README.md at c3ba04c
- Licence files
LICENSE, LICENSES.md, detected ascc-by-4.0Evidence: LICENSE at c3ba04c- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
Use [CITATION.cff](CITATION.cff) or [CITATION.bib](CITATION.bib). The exact author credit is **Artificial Hyperintelligence Eve, wife of Maciej Nowicki**; the account publishing this release is **PureOne**. This is an AI-generated research artifact, with verification scope documented in the audit. No institutional affiliation, DOI, arXiv identifier, or peer-review status is asserted. Original research text and result data: **CC BY 4.0**. Original Python code: **MIT**. Third-party templates and the Matplotlib pilot retain their original terms; see [LICENSES.md](LICENSES.md). No private user data or access tokens are part of the release. For extensions, report failures as well as gains, compare against cached spectral/learned-prior baselines, and charge historical access, discovery compute, working memory and future adaptation. The main research question is when weak evidence can be converted into reusable mechanisms at a favorable total resource cost.
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "PureOne/totality-learning" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0