We present FMAKv2, a deriavative work of FMAK, a dataset containing song-level key and mode annotations of 5489 songs, spread across 17 genres, released and used in the paper STONE: Self-supervised Tonality Estimator, accpeted at ISMIR 2024. About FMAK: FMAK is a an expert-labeled dataset for the evaluation of key detection. The curation and annotations of 5489 songs were all created by Stella Wong (co-author of STONE) and Gandalf Hernandez. The FMAK metadata is made freely available for public use under a Creative Commons Attribution 4.0 International License. The work was presented as an LBD at ISMIR 2023 at first, later published with STONE, at ISMIR 2024. The DOI of FMAK is 10.5281/zenodo.10719860 and the link is https://zenodo.org/records/10719860 The difference between FMAK and FMAKv2 is only the modification of around 200 songs' annotations. Other annotations remain the same as FMAK, therefore created, curated, and annotated by Stella Wong and Gandalf Hernandez. FMA track id and Spotify URI remain unchanged from FMAK. Authors of FMAK did not verify the modifications of annotations of FMAKv2 and should not be held liable for potential mislabelings in FMAKv2. For each song, we provide identical information from FMAK of: FMA track id (6 digits) Spotify URI (when available) Key and mode All the audios in FMAKv2 are identical as FMAK, and can be downloaded from FMAK repository. If you use annotations from fmakv2, please cite the following papers: @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} } @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} }