SCUT-DLVCLab/WenMind

WenMind Benchmark NOTE this README was copied from https://github.com/SCUT-DLVCLab/WenMind/blob/main/README.md 2024/09/26 WenMind Benchmark paper has been accepted by NeurIPS 2024. WenMind is a comprehensive benchmark dedicated for evaluating Large Language Models (LLMs) in Chinese Classical Literature and Language Arts (CCLLA). WenMind covers the sub-domains of Ancient Prose, Ancient Poetry, and Ancient Literary Culture, comprising 4,875 question-answer pairs, spanning 42… See the full description on the dataset page: https://huggingface.co/datasets/SCUT-DLVCLab/WenMind.