zefang-liu/cyberbench

CyberBench: A Multi-Task Cybersecurity Benchmark for LLMs Introduction CyberBench is a comprehensive multi-task benchmark specifically designed to evaluate the capabilities of Large Language Models (LLMs) in the cybersecurity domain. It includes ten diverse datasets that span tasks such as Named Entity Recognition (NER), Summarization (SUM), Multiple Choice (MC), and Text Classification (TC). By providing this specialized benchmark, CyberBench facilitates a systematic… See the full description on the dataset page: https://huggingface.co/datasets/zefang-liu/cyberbench.

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