evaleval/auto-benchmarkcards

421 downloads in 30 days4 likesLast modified 14 Jul 2026View on Hugging Face

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: cdla-permissive-2.0, from the tagEvidence: README.md at 0a86cea
Licence files: No licence file at the top level of the repositoryEvidence: file list at 0a86cea
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

If you use this dataset, please cite the Auto-BenchmarkCard paper:

- A. Hofmann, I. Vejsbjerg, D. Salwala, and E. M. Daly, "Auto-BenchmarkCard: Automated Synthesis of Benchmark Documentation," 2025, arXiv:2512.09577.

This dataset's pipeline also builds on:

- A. Sokol et al., "BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks," 2024, arXiv:2410.12974.
- R. Marinescu et al., "FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models," 2025, arXiv:2502.18573.
- F. Bagehorn et al., "AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources," 2025, arXiv:2503.05780.
- E. Bandel et al., "Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI," 2024, arXiv:2401.14019.

All datasets marked Unclear | JSON

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": "evaleval/auto-benchmarkcards" })
signal: "unclear"
stated_licence: "cdla-permissive-2.0"
sources: 0