ClinicBench

该数据集是一个为评估大型语言模型在临床环境下性能而构建的基准，它不仅包含了现有的数据集，还包含了全新的任务。具体来说，它融合了11个现有的数据集和6个全新的数据集，重点关注开放性决策制定和复杂的临床任务，涵盖了临床语言生成、理解以及推理的各项任务。

This dataset is a benchmark developed to evaluate the performance of large language models (LLMs) in clinical settings. It incorporates not only existing datasets but also entirely novel tasks. Specifically, it integrates 11 existing datasets and 6 newly created datasets, with a primary focus on open-ended clinical decision-making and complex clinical tasks, covering a full range of tasks related to clinical language generation, comprehension, and reasoning.