遇见数据集

wieeii/ChessQA-Benchmark

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Hugging Face2025-10-20 更新2025-10-25 收录
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ChessQA-Benchmark是一个评估大型语言模型在象棋领域理解和推理能力的综合数据集,包含五个任务类别:对局结构、定式、短战术、局面判断和语义描述。数据集旨在提供一个受控和一致的评估环境,用于诊断和比较不同模型在象棋理解方面的能力。

ChessQA-Benchmark is a comprehensive dataset for evaluating the understanding and reasoning abilities of large language models in the domain of chess, encompassing five task categories: Structural, Motifs, Short Tactics, Position Judgment, and Semantic. The dataset aims to provide a controlled and consistent setting for diagnosis and comparison of chess comprehension across different models.

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