LFrancis/MMLU-NoOp-Plus_N50

README文件提供了多个数据集的结构和特征的详细信息，每个数据集对应不同的主题，如抽象代数、解剖学、天文学、商业伦理、临床知识、大学生物学、大学化学、大学计算机科学、大学数学、大学医学、大学物理学和计算机安全。每个数据集配置包括如answer、choices、question和subject等特征，并指定了数据类型。数据集被分为训练集，每个配置的字节数、示例数、下载大小和数据集大小都有详细说明。

The README file provides detailed information about the structure and features of multiple datasets, each corresponding to different subjects such as abstract algebra, anatomy, astronomy, business ethics, clinical knowledge, college biology, college chemistry, college computer science, college mathematics, college medicine, college physics, and computer security. Each dataset configuration includes features like answer, choices, question, and subject, with data types specified. The datasets are split into training sets, with details on the number of bytes, examples, download size, and dataset size provided for each configuration.