mateussj/pubmedqa_preproc

这是一个包含问题、上下文、答案和其它相关信息的文本数据集，适用于问答系统训练。数据集中的字段包括发布ID、问题、上下文（包括多个子字段如内容、标签、网格）、长答案、最终决策、最终上下文及其长度、问题长度等。数据集分为训练集，大小为737,751,987字节，共有211,269个示例。

This is a text dataset containing questions, contexts, answers, and other related information, suitable for training question-answering systems. The fields in the dataset include publication ID, question, context (including subfields such as content, labels, meshes), long answer, final decision, final context, and its length, question length, etc. The dataset is split into a training set, which is 737,751,987 bytes in size and contains 211,269 examples.