FMAKv2: A Dataset of Key and Mode Annotations for the Free Music Archive

<p>We present FMAKv2, a deriavative work of <a href="../records/10719860">FMAK</a>, a dataset containing song-level key and mode annotations of 5489 songs, spread across 17 genres, released and used in the paper <a href="https://arxiv.org/abs/2407.07408"><strong>STONE: Self-supervised Tonality Estimator</strong></a>, accpeted at <strong>ISMIR 2024</strong>.</p> <p>About FMAK:</p> <blockquote> <p><a href="../records/10719860">FMAK</a> is a an expert-labeled dataset for the evaluation of key detection. The curation and annotations of 5489 songs were all<strong> </strong>created by&nbsp;<strong>Stella Wong</strong> (co-author of STONE) and&nbsp;<strong>Gandalf Hernandez</strong>. The FMAK metadata is made freely available for public use under a <strong>Creative Commons Attribution 4.0 International License. </strong>The work was presented as an LBD at ISMIR 2023 at first, later published with STONE, at ISMIR 2024.</p> <p>The DOI of FMAK is&nbsp;<code>10.5281/zenodo.10719860</code> and the link is <a href="../records/10719860">https://zenodo.org/records/10719860</a></p> </blockquote> <p>The difference between FMAK and FMAKv2 is <strong>only</strong> the modification of around 200 songs' annotations. Other annotations remain the same as FMAK, therefore&nbsp;<strong>created</strong>, <strong>curated</strong>, and <strong>annotated</strong> by&nbsp;<strong>Stella Wong</strong> and <strong>Gandalf Hernandez</strong>. FMA track id and Spotify URI remain unchanged from FMAK.&nbsp;Authors of FMAK did not verify the modifications of annotations of FMAKv2 and should&nbsp;<strong>not</strong> be held liable for potential mislabelings in FMAKv2.</p> <p>For each song, we provide identical information from FMAK of:</p> <ul> <li>FMA track id (6 digits)</li> <li>Spotify URI (when available)</li> <li>Key and mode</li> </ul> <p>All the audios in FMAKv2 are identical as FMAK, and can be downloaded from&nbsp;<a href="../records/10719860">FMAK</a> repository.<br><br></p> <p>If you use annotations from fmakv2, please cite the following papers:</p> <pre>@article{kong2024stone, title={STONE: Self-supervised Tonality Estimator}, author={Kong, Yuexuan and Lostanlen, Vincent and Meseguer-Brocal, Gabriel and Wong, Stella and Lagrange, Mathieu and Hennequin, Romain}, journal={Proceedings of International Society for Music Information Retrieval Conference (ISMIR 2024)}, year={2024} }</pre> <pre>@inproceedings{wong2023fmak, title={FMAK: A DATASET OF KEY AND MODE ANNOTATIONS FOR THE FREE MUSIC ARCHIVE--EXTENDED ABSTRACT}, author={Wong, Stella and Hernandez, Gandalf}, booktitle={International Society for Music Information Retrieval Late-Breaking/Demo Session (ISMIR-LBD)}, year={2023} }</pre>