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Browse filesM3KE, or Massive Multi-Level Multi-Subject Knowledge Evaluation, is a benchmark developed to assess the knowledge acquired by large Chinese language models by testing their multitask accuracy in zero- and few-shot settings. It is composed of 20,477 questions from 71 tasks. The benchmark comprises 20,477 questions spanning 71 tasks. For further information about M3KE, please consult our [paper](https://arxiv.org/abs/2204.05862) or visit our [GitHub](https://github.com/tjunlp-lab/M3KE) page.