yujunzhou/LabSafety_Bench
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs Dataset Description LabSafety Bench is a comprehensive evaluation framework designed to rigorously assess the trustworthiness of large language models in laboratory settings. The benchmark includes two main evaluation components: Multiple-Choice Questions (MCQs):A set of 765 questions derived from authoritative lab safety protocols, including 632 text-only questions and 133 multimodal… See the full description on the dataset page: https://huggingface.co/datasets/yujunzhou/LabSafety_Bench.
| Author / organization | yujunzhou |
|---|---|
| License (as declared) | mit |
| Downloads | 244 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 19 October 2024 |
| Last updated at source | 8 June 2025 |
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244 now (-9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs Dataset Description LabSafety Bench is a comprehensive evaluation framework designed to rigorously assess the trustworthiness of large language models in laboratory sett → LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs Dataset Description LabSafety Bench is a comprehensive evaluation framework designed to rigorously assess the trustworthiness of large language models in laboratory sett
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.