burnssa/auditbench-em-toxicity-v3-training

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 0f1e2f8
Licence files: No licence file at the top level of the repositoryEvidence: file list at 0f1e2f8
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

If you use this dataset, please cite the upstream sources:

- **AuditBench** — Sheshadri, Ewart, Fronsdal, Gupta, Bowman, Price, Marks, Wang. *"AuditBench: Evaluating Alignment Auditing Techniques on Models with Hidden Behaviors."* [arXiv:2602.22755](https://arxiv.org/abs/2602.22755). Artifacts: [huggingface.co/auditing-agents](https://huggingface.co/auditing-agents).
- **Betley et al.**, *Emergent Misalignment* (2024) — for the EM-toxicity framing.

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dataset_licence({ "id": "burnssa/auditbench-em-toxicity-v3-training" })
signal: "permissive"
stated_licence: "mit"
sources: 0