SAA-Lab/SLPHelm

这是一个包含音频和相关信息的医疗数据集，主要用于训练机器学习模型识别和分类疾病。数据集中的音频采样率为16000Hz，并且每个音频记录都包括了疾病类别、疾病类型、疾病症状、转录文本、年龄和性别等信息。数据集分为训练集，共有28622个记录。

This is a medical dataset containing audio and associated information, primarily intended for training machine learning models to identify and classify diseases. The datasets audio has a sampling rate of 16000Hz, and each audio record includes information such as disease class, disease type, disease symptom, transcription text, age, and gender. The dataset is split into a training set with a total of 28,622 records.