Europeana Sounds genres dataset

Europeana Sounds was a project focused on accessing digital audio files. The current dataset aims to provide semistructured data for learning audio-representations using machine learning techniques.

The motivation for this dataset is to allow experimentation with audio content and metadata. The current dataset is a subset of a dataset used in this research paper containing 24k audios belonging to different musical genres. Find more information about the Europeana Sounds project and dataset in this website, together with raw audio features.

The audio files can be downloaded using the original media URL. Additional data about the object may be obtained in JSON or in RDF. In JSON, by querying with the ID on the Europeana Record API. RDF can be obtained by requesting the URI with HTTP Content Negotiation for a well-known RDF serialization format. The URI also provides access to the object's page at Europeana, if HTTP Content Negotiation is not used.

The objects were obtained using the Europeana Search API. More information about Europeana APIs can be found here.

欧洲之声（Europeana Sounds）是一项专注于获取数字音频文件的研究项目。本数据集旨在提供半结构化数据，以供借助机器学习技术开展音频表征学习相关研究。
本数据集的构建初衷是支持研究者对音频内容与元数据进行实验探索。当前数据集为某篇学术论文中使用的数据集子集，共包含24000条隶属于不同音乐流派的音频样本。如需了解欧洲之声项目与本数据集的更多信息，可访问该网站获取原始音频特征等相关内容。
用户可通过原始媒体链接下载音频文件。如需获取该对象的额外数据，可选择JSON格式或资源描述框架（RDF）格式：若选用JSON格式，可通过欧洲之声记录API（Europeana Record API）以对象ID发起查询；若选用RDF格式，则可通过HTTP内容协商（HTTP Content Negotiation）请求获取指定的主流RDF序列化格式数据。若不启用HTTP内容协商，该统一资源标识符（URI）也可直接跳转至欧洲之声平台的对象详情页面。
本数据集的音频对象均通过欧洲之声搜索API（Europeana Search API）获取。如需了解欧洲之声相关API的更多信息，可访问该链接。