Nikolai Medtner - Tales (A corpus of annotated scores)

This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music from the Long 19th Century which comes with a data report that is currently under review. The dataset lives on GitHub (link under "Related identifiers") and is stored on Zenodo purely for conservation and automatic DOI generation for new GitHub releases. For technical reasons, we include only brief, generic instructions on how to use the data. For more detailed documentation, please refer to the dataset's GitHub page. What is included The dataset includes annotated MusicScores .mscx files that have been created with MuseScore 3.6.2 and can be opened with any MuseScore 3, or later version. Apart from that, the score information (measures, notes, harmony labels) have been extracted in the form of TSV files which can be found respectively in the folders measures, notes, and harmonies. They have been extracted with the Python library ms3 and its documentation has a column glossary for looking up the meaning of a column. Getting the data You can download the dataset as a ZIP file from Zenodo or GitHub. Please note that these automatically generated ZIP files do not include submodules, which would appear as empty folders. If you need ZIP files, you will need to find the submodule repositories (e.g. via GitHub) and download them individually. Apart from that, there is the possibility to git-clone the GitHub repository to your disk. This has the advantage that it allows to version-control any changes you want to make to the dataset and to ask for your changes to be included ("merged") in a future version.本标注MuseScore文件语料库由DCML语料库计划（DCML corpus initiative）开发构建，采用DCML和声标注标准（DCML harmony annotation standard）。本语料库为纳入《长19世纪调性钢琴音乐标注语料库》的9个同类语料库之一，该语料库配套的数据报告目前处于同行评审阶段。 本数据集托管于GitHub平台，相关链接可参见「相关标识符」栏目，其在Zenodo平台的存储仅用于数据留存与新版GitHub发布的自动DOI生成。受技术条件限制，本数据集仅附带简短通用的使用说明；如需获取完整详细的文档，请参阅数据集的GitHub官方页面。 ### 数据集内容 本数据集包含采用MuseScore 3.6.2制作的标注型MuseScore文件（格式为.mscx），可通过任意MuseScore 3及更高版本打开。此外，乐谱相关信息（小节、音符、和声标签）已被提取为制表符分隔值（TSV）文件，分别存储于measures、notes与harmonies三个文件夹中。上述提取工作通过Python库ms3完成，该库的官方文档包含列项词汇表，可用于查询各字段的具体含义。 ### 数据获取方式 您可从Zenodo或GitHub平台下载本数据集的ZIP压缩包。请注意：自动生成的ZIP文件不会包含子模块，此类子模块在解压后会显示为空文件夹。若您需要包含完整子模块的ZIP包，需自行查找对应的子模块仓库（例如通过GitHub平台）并单独下载。 除此之外，您也可通过git clone命令将本数据集的GitHub仓库克隆至本地存储设备。该方式的优势在于，您可对数据集的任意修改进行版本控制，并可申请将您的修改合并至未来的数据集版本中。