All datasets / DanielSc4
DanielSc4/chive-matched-pair-oracle
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licence
- other, from the tagEvidence: README.md at c6823f6
- Licence name on the card
- mixed-provenance-see-cardEvidence: README.md at c6823f6
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at c6823f6
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Citation text from the card
Mixed terms, inherited from the sources (see the [CHIVE data card](https://huggingface.co/datasets/adamkarvonen/chive-data)); comply with all that apply to the portions you use: - Conversations, edits and claims derive from CHIVE: prompts from `allenai/WildChat-4.8M` (ODC-BY 1.0, attribution to AI2 required) and agentic pools (Apache-2.0); edits and claims were produced by Claude (Anthropic) investigator agents (Anthropic Commercial Terms; not to be used to train competing models). - `acts/`, `attrib/`, `concept.jsonl` and the oracle checkpoints derive from Google Gemma-3-27B-IT: subject to the [Gemma Terms of Use](https://ai.google.dev/gemma/terms) and [Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy). - `embed/` was produced with `Qwen/Qwen3-Embedding-4B` (Apache-2.0); `predictor/` outputs with `openai/gpt-oss-120b` (Apache-2.0).
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": "DanielSc4/chive-matched-pair-oracle" })
signal: "unclear"
stated_licence: "other"
sources: 0