FMA Large: A Dataset for Music Analysis

The FMA (Free Music Archive) Large dataset is a collection of audio files for music analysis. It is associated with a research paper published on arXiv in 2016 and is hosted on GitHub. The dataset's integrity can be verified using provided SHA1 checksums.

Use Cases

• Music genre classification based on audio features
• Audio feature extraction and analysis for machine learning models
• Music similarity and recommendation system development

Strengths

• Integrity can be verified with SHA1 checksums
• Associated with a published research paper (arXiv:1612.01840)
• Code and data are available on a public GitHub repository

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

GitHub repository (https://github.com/mdeff/fma)

Collection Method

Part of the Free Music Archive (FMA) project.

Time Range

Associated paper published in 2016.

Freshness

Last updated 2025-04-14 06:49:46; freshness should be verified

Geography

Region 'us' is indicated in platform tags.