RISys-Lab/Benchmarks_CyberSec_RedSageMCQ
Dataset Card for RedSage-MCQ Dataset Summary RedSage-MCQ is a large-scale, high-quality multiple-choice question (MCQ) benchmark designed to evaluate the cybersecurity knowledge, skills, and tool proficiency of Large Language Models (LLMs). It is a component of the RedSage-Bench suite introduced in the paper "RedSage: A Cybersecurity Generalist LLM". The dataset comprises 30,000 questions derived from RedSage-Seed, a curated collection of… See the full description on the dataset page: https://huggingface.co/datasets/RISys-Lab/Benchmarks_CyberSec_RedSageMCQ.
| Author / organization | RISys-Lab |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 199 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 October 2025 |
| Last updated at source | 26 January 2026 |
Recent changes
- 16 Oct 2026 Description: Dataset Card for RedSage-MCQ Dataset Summary RedSage-MCQ is a large-scale, high-quality multiple-choice question (MCQ) benchmark designed to evaluate the cybersecurity knowledge, skills, and tool proficiency of Large Language Models (LLMs). → Dataset Card for RedSage-MCQ Dataset Summary RedSage-MCQ is a large-scale, high-quality multiple-choice question (MCQ) benchmark designed to evaluate the cybersecurity knowledge, skills, and tool proficiency of Large Language Models (LLMs).
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