xunguangwang/JailbreakGuardrailBenchmark
An Open Benchmark for Evaluating Jailbreak Guardrails in Large Language Models Introduction This repository provides instruction datasets in our SoK paper, SoK: Evaluating Jailbreak Guardrails for Large Language Models. The datasets are collected from various sources to evaluate the effectiveness of jailbreak guardrails in large language models (LLMs), including harmful prompts (i.e., JailbreakHub, JailbreakBench, MultiJail, and SafeMTData) and normal prompts… See the full description on the dataset page: https://huggingface.co/datasets/xunguangwang/JailbreakGuardrailBenchmark.
| Author / organization | xunguangwang |
|---|---|
| License (as declared) | mit |
| Downloads | 298 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 6 July 2025 |
| Last updated at source | 19 October 2025 |
Popularity, last 3 days
298 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: An Open Benchmark for Evaluating Jailbreak Guardrails in Large Language Models Introduction This repository provides instruction datasets in our SoK paper, SoK: Evaluating Jailbreak Guardrails for Large Language Models. The datasets are col → An Open Benchmark for Evaluating Jailbreak Guardrails in Large Language Models Introduction This repository provides instruction datasets in our SoK paper, SoK: Evaluating Jailbreak Guardrails for Large Language Models. The datasets are col
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.