Free Music Archive Dataset
dataset·creative commons music audio·active
Full-length Creative Commons music with audio, features, metadata and hierarchical genre labels for MIR.
Verified facts
| Official site | https://github.com/mdeff/fma ↗ |
|---|---|
| Geography | Global |
| arxiv | 1612.01840 |
| github repository | mdeff/fma |
| size | albums: 14854 · tracks: 106574 · artists: 16341 · audio gib: 917 · duration days: 343 |
| scope | Creative Commons music for genre recognition and other MIR tasks. |
| genres | 161-genre hierarchy |
| license | Per-track Creative Commons licenses; code and metadata terms are separate. |
| steward | FMA dataset authors |
| creators | Michaël Defferrard; Kirell Benzi; Pierre Vandergheynst; Xavier Bresson |
| languages | multilingual metadata |
| modalities | MP3; CSV metadata; precomputed features; tags; free text |
| geographies | Global |
| access method | GitHub code and documented dataset archives. |
| intended uses | genre classification; MIR benchmarking; representation learning |
| related papers | FMA: A Dataset for Music Analysis |
| annotation method | FMA metadata and tags plus precomputed features; authors supply benchmark splits. |
| collection method | Curated from the Free Music Archive catalogue. |
| provenance claims | Paper describes the audio as Creative Commons licensed. |
| current availability | Repository active; mirrors and original audio availability can vary. |
| commercial use limits | Varies by track; some Creative Commons licenses prohibit commercial reuse. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | Catalogue and genre distribution reflect the historical Free Music Archive community. |
| redistribution restrictions | Must comply with each track's license and attribution requirements. |
Current
| sampled from (by) | OpenMIC-2018 |
|---|---|
| incorporates human source (by) | M6 |
Sources & changes
0d ago · highhow verification works
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