Driven by the need for larger and more diverse datasets to pre-train and fine-tune increasingly complex machine learning models, the number of datasets is rapidly growing. audb is an open-source Python library that supports versioning and documentation of audio datasets. It aims to provide a standardized and simple user-interface to publish, maintain, and access the annotations and audio files of a dataset. To efficiently store the data on a server, audb automatically resolves dependencies between versions of a dataset and only uploads newly added or altered files when a new version is published. The library supports partial loading of a dataset and local caching for fast access to already downloaded data. audb is a lightweight library and can be interfaced with any machine learning library. It supports the management of datasets on a single PC, within a university or company, or within a whole research community.

翻译：为预训练和微调日益复杂的机器学习模型，对更大、更多样化数据集的需求日益增长，导致数据集数量迅速增加。audb是一个开源Python库，支持音频数据集的版本管理与文档记录。它的目标是为发布、维护和访问数据集的标注及音频文件提供标准化且简洁的用户界面。为了高效地存储服务器上的数据，audb自动解析数据集各版本之间的依赖关系，并在发布新版本时仅上传新增或修改过的文件。该库支持数据集的部分加载，并通过本地缓存实现对已下载数据的快速访问。audb是一个轻量级库，可与任何机器学习库进行交互。它支持在单台个人电脑、大学或公司内部乃至整个研究社区中对数据集进行管理。