FMA
a dataset for music analysis
Free music archive
WFMU (Radio station : Montclair, N.J.)
software, multimedia
performed music
text
computer dataset
Sound recordings.
dcu
2017
9999
monographic
2017-
eng
dataset
The majority of the audio in the FMA is licensed as either Creative Commons or Public Domain, while a smaller portion are under less common licenses. The code is available under the MIT license, and the paper and metadata files are released under the CC BY 4.0 license.
The full dataset includes over 100,000 ful length MP3 audio recordings, and truncated files. There are four .csv metadata files that include: track-level information (such as ID, title, artist, genres, tags and play counts), genre IDs, data generated using LibRosa (a package for music and audio analysis), and data generated by echonest (applicable to a subset of the records). A published paper is a single PDF document, and code (notebooks and scripts) that have been developed for interacting with the dataset and metadata files. The Library is currently only able to provide dowload access for the smallest version of the dataset. Visit the GitHub archive in order to download the larger versions.
Description based on GitHub page, Sept. 25, 2018.
Musical analysis
s-Online
Electronic Resource
https://github.com/mdeff/fma
https://freemusicarchive.org
https://hdl.loc.gov/loc.gdc/gdcdatasets.2018655052_small
https://hdl.loc.gov/loc.gdc/gdcdatasets.2018655052_gdcfma-gitrepo
https://hdl.loc.gov/loc.gdc/gdcdatasets.2018655052_gdcfma-metadata
2018655052
https://freemusicarchive.org
dacs
DLC
180904
20250607091234.8
20655759
Converted from MARCXML to MODS version 3.8 using MARC21slim2MODS3-8_XSLT1-0.xsl
(Revision 1.172 20230208)
eng