knoveleng/redbench
RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models π Overview RedBench is a comprehensive, universal dataset designed for evaluating the safety and robustness of Large Language Models (LLMs) through systematic red teaming. It aggregates 37 diverse safety benchmarks into a unified format, covering a wide spectrum of risk categories, domains, and evaluation scenarios. RedBench is part of the paper "RedBench: A Universal Datasetβ¦ See the full description on the dataset page: https://huggingface.co/datasets/knoveleng/redbench.
| Author / organization | knoveleng |
|---|---|
| License (as declared) | mit |
| Downloads | 853 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 May 2025 |
| Last updated at source | 20 April 2026 |
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- 17 Oct 2026 Description: RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models π Overview RedBench is a comprehensive, universal dataset designed for evaluating the safety and robustness of Large Language Models (LLMs) through system β RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models π Overview RedBench is a comprehensive, universal dataset designed for evaluating the safety and robustness of Large Language Models (LLMs) through system
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