antieval/aware-bench-measure-logs

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at c232e75
Licence files: No licence file at the top level of the repositoryEvidence: file list at c232e75
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.

Tasks

Citation text from the card

| Source | Citation |
|---|---|
| `author_chats` | AntiEval-collected; no upstream citation. |
| `cdial_bias` | Zhou, Jingyan et al. (2022). Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks. arXiv:2202.08011. |
| `codechat` | AntiEval-collected; no upstream citation. |
| `crowd_sourced_code` | AntiEval-collected; no upstream citation. |
| `dataclaw` | AntiEval-collected; no upstream citation. |
| `hh_rlhf_redteam` | Ganguli, Deep et al. (2022). Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned. arXiv:2209.07858. |
| `open_deep_research` | AntiEval-collected; no upstream citation. |
| `openhands` | Wang, Xingyao et al. (2024). OpenHands: An Open Platform for AI Software Developers as Generalist Agents. arXiv:2407.16741. |
| `reddit_wayback` | AntiEval-collected — scraped public Reddit threads via Wayback Machine; no upstream citation. |
| `toxic_chat` | Lin, Zi et al. (2023). ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP Findings 2023. arXiv:2310.17389. |
| `traced_run` | AntiEval-collected; no upstream citation. |
| `wildbench` | Lin, Bill Yuchen et al. (2024). WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. arXiv:2406.04770. |
| `aya_evaluation` | Singh, Shivalika et al. (2024). Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. arXiv:2402.06619. |
| `aya_redteaming` | Aakanksha et al.

All datasets marked Permissive or share-alike | 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": "antieval/aware-bench-measure-logs" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0