--- license: cc size_categories: - 100K We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable for evaluating several tasks in MIR, a field concerned with browsing, searching, and organizing large music collections. The community's growing interest in feature and end-to-end learning is however restrained by the limited availability of large audio datasets. The FMA aims to overcome this hurdle by providing 917 GiB and 343 days of Creative Commons-licensed audio from 106,574 tracks from 16,341 artists and 14,854 albums, arranged in a hierarchical taxonomy of 161 genres. It provides full-length and high-quality audio, pre-computed features, together with track- and user-level metadata, tags, and free-form text such as biographies. We here describe the dataset and how it was created, propose a train/validation/test split and three subsets, discuss some suitable MIR tasks, and evaluate some baselines for genre recognition. Code, data, and usage examples are available at https://github.com/mdeff/fma. Paper: [arXiv:1612.01840](https://arxiv.org/abs/1612.01840) - [latex and reviews](https://github.com/mdeff/paper-fma-ismir2017) Slides: [doi:10.5281/zenodo.1066119](https://doi.org/10.5281/zenodo.1066119) Poster: [doi:10.5281/zenodo.1035847](https://doi.org/10.5281/zenodo.1035847) # This Pack This is the **large** dataset, comprising a total of **105,024 samples** clipped at **30 seconds** over **16** *unbalanced* genres totaling **869.2 hours** hours of audio. ## Repack Notes - 173 files were unreadable by `libsndfile / libmpg123`, these were removed. - 1377 files had licenses that were unclear on whether or not they permitted redistribution, or the full license text was unavailable. These were removed. # License - The [FMA codebase](https://github.com/mdeff/fma) is released under [The MIT License](https://github.com/mdeff/fma/blob/master/LICENSE.txt). - The FMA metadata is released under [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0). - The individual files are released under various Creative Commons family licenses, with a small amount of additional licenses. **Each file has its license attached and important details of the license enumerated.** To make it easy to use for developers and trainers, a configuration is available to limit only to commercially-usable data. Please refer to any of the following URLs for additional details. | Class Label | License Name | URL | | ----------- | ------------ | --- | | 0 | CC-BY 1.0 | https://creativecommons.org/licenses/by/1.0/ | | 1 | CC-BY 2.0 | https://creativecommons.org/licenses/by/2.0/ | | 2 | CC-BY 2.5 | https://creativecommons.org/licenses/by/2.5/ | | 3 | CC-BY 3.0 | https://creativecommons.org/licenses/by/3.0/ | | 4 | CC-BY 4.0 | https://creativecommons.org/licenses/by/4.0/ | | 5 | CC-BY-NC 2.0 | https://creativecommons.org/licenses/by-nc/2.0/ | | 6 | CC-BY-NC 2.1 | https://creativecommons.org/licenses/by-nc/2.1/ | | 7 | CC-BY-NC 2.5 | https://creativecommons.org/licenses/by-nc/2.5/ | | 8 | CC-BY-NC 3.0 | https://creativecommons.org/licenses/by-nc/3.0/ | | 9 | CC-BY-NC 4.0 | https://creativecommons.org/licenses/by-nc/4.0/ | | 10 | CC-BY-NC-ND 2.0 | https://creativecommons.org/licenses/by-nc-nd/2.0/ | | 11 | CC-BY-NC-ND 2.1 | https://creativecommons.org/licenses/by-nc-nd/2.1/ | | 12 | CC-BY-NC-ND 2.5 | https://creativecommons.org/licenses/by-nc-nd/2.5/ | | 13 | CC-BY-NC-ND 3.0 | https://creativecommons.org/licenses/by-nc-nd/3.0/ | | 14 | CC-BY-NC-ND 4.0 | https://creativecommons.org/licenses/by-nc-nd/4.0/ | | 15 | CC-BY-NC-SA 2.0 | https://creativecommons.org/licenses/by-nc-sa/2.0/ | | 16 | CC-BY-NC-SA 2.1 | https://creativecommons.org/licenses/by-nc-sa/2.1/ | | 17 | CC-BY-NC-SA 2.5 | https://creativecommons.org/licenses/by-nc-sa/2.5/ | | 18 | CC-BY-NC-SA 3.0 | https://creativecommons.org/licenses/by-nc-sa/3.0/ | | 19 | CC-BY-NC-SA 4.0 | https://creativecommons.org/licenses/by-nc-sa/4.0/ | | 20 | CC-BY-ND 2.0 | https://creativecommons.org/licenses/by-nd/2.0/ | | 21 | CC-BY-ND 2.5 | https://creativecommons.org/licenses/by-nd/2.5/ | | 22 | CC-BY-ND 3.0 | https://creativecommons.org/licenses/by-nd/3.0/ | | 23 | CC-BY-ND 4.0 | https://creativecommons.org/licenses/by-nd/4.0/ | | 24 | CC-BY-SA 2.0 | https://creativecommons.org/licenses/by-sa/2.0/ | | 25 | CC-BY-SA 2.5 | https://creativecommons.org/licenses/by-sa/2.5/ | | 26 | CC-BY-SA 3.0 | https://creativecommons.org/licenses/by-sa/3.0/ | | 27 | CC-BY-SA 4.0 | https://creativecommons.org/licenses/by-sa/4.0/ | | 28 | CC-NC-Sampling+ 1.0 | https://creativecommons.org/licenses/nc-sampling+/1.0/ | | 29 | CC-Sampling+ 1.0 | https://creativecommons.org/licenses/sampling+/1.0/ | | 30 | FMA Sound Recording Common Law | https://freemusicarchive.org/Sound_Recording_Common_Law | | 31 | Free Art License | https://artlibre.org/licence/lal/en | | 32 | Free Music Philosophy (FMP) | https://irdial.com/free_and_easy.htm | ## Total Duration by License | License | Total Duration (Percentage) | | ------- | --------------------------- | | CC-BY-NC-SA 3.0 | 291.6 hours (33.55%) | | CC-BY-NC-ND 3.0 | 237.3 hours (27.30%) | | CC-BY-NC-ND 4.0 | 100.6 hours (11.57%) | | CC-BY-NC-SA 4.0 | 57.0 hours (6.56%) | | CC-BY 4.0 | 41.3 hours (4.75%) | | CC-BY-NC 3.0 | 38.8 hours (4.47%) | | CC-BY-NC 4.0 | 28.1 hours (3.23%) | | CC-BY 3.0 | 15.3 hours (1.76%) | | CC-BY-SA 4.0 | 12.9 hours (1.48%) | | CC-BY-SA 3.0 | 9.8 hours(1.13%) | | CC-BY-NC-SA 2.0 | 7.0 hours (0.81%) | | CC-BY-NC-ND 2.0 | 6.4 hours (0.74%) | | CC-BY-ND 3.0 | 4.5 hours (0.52%) | | FMA Sound Recording Common Law | 3.5 hours (0.40%) | | CC-BY-ND 4.0 | 3.3 hours (0.38%) | | CC-BY-NC-ND 2.5 | 2.9 hours (0.33%) | | CC-BY-NC-SA 2.5 | 2.2 hours (0.25%) | | CC0 1.0 | 1.3 hours (0.15%) | | CC-BY-NC 2.5 | 1.2 hours (0.14%) | | Free Music Philosophy (FMP) | 1.1 hours (0.13%) | | CC-BY 1.0 | 52.0 minutes (0.10%) | | CC-BY-SA 2.0 | 24.0 minutes (0.05%) | | CC-BY 2.0 | 16.5 minutes (0.03%) | | CC-BY-NC-SA 2.1 | 15.0 minutes (0.03%) | | CC-BY-NC 2.1 | 15.0 minutes (0.03%) | | CC-BY-NC 2.0 | 12.0 minutes (0.02%) | | CC-NC-Sampling+ 1.0 | 9.5 minutes (0.02%) | | CC-BY-NC-ND 2.1 | 8.5 minutes (0.02%) | | Free Art License | 7.8 minutes (0.02%) | | CC-Sampling+ 1.0 | 7.0 minutes (0.01%) | | CC-BY-ND 2.5 | 5.7 minutes (0.01%) | | CC-BY-SA 2.5 | 4.5 minutes (0.01%) | | CC-BY-ND 2.0 | 3.5 minutes (0.01%) | | CC-BY 2.5 | 1.0 minutes (0.00%) | # Citations ``` @inproceedings{fma_dataset, title = {{FMA}: A Dataset for Music Analysis}, author = {Defferrard, Micha\"el and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier}, booktitle = {18th International Society for Music Information Retrieval Conference (ISMIR)}, year = {2017}, archiveprefix = {arXiv}, eprint = {1612.01840}, url = {https://arxiv.org/abs/1612.01840}, } ``` ``` @inproceedings{fma_challenge, title = {Learning to Recognize Musical Genre from Audio}, subtitle = {Challenge Overview}, author = {Defferrard, Micha\"el and Mohanty, Sharada P. and Carroll, Sean F. and Salath\'e, Marcel}, booktitle = {The 2018 Web Conference Companion}, year = {2018}, publisher = {ACM Press}, isbn = {9781450356404}, doi = {10.1145/3184558.3192310}, archiveprefix = {arXiv}, eprint = {1803.05337}, url = {https://arxiv.org/abs/1803.05337}, } ```