Repository details
Million Song Dataset
Name of repository
Million Song Dataset
Additional name(s)
- MSD
Repository URL
Subject(s)
Description
The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks.
The core of the dataset is the feature analysis and metadata for one million songs, provided by The Echo Nest. The dataset does not include any audio, only the derived features. Note, however, that sample audio can be fetched from services like 7digital, using code we provide.
Repository size
280 GB
Repository type(s)
- disciplinary
Mission statement for designated community
Research data repository language(s)
- English
Data and/or service provider
- dataProvider
Institutions (3)
Additional name(s)
- Laboratory for the Recognition and Organization of Speech and Audio
Country
Type(s) of responsibility
- general
Type of institution
non-profit
Start date of responsibility
2011
Additional name(s)
- NSF
Country
Type(s) of responsibility
- funding
Type of institution
non-profit
Start date of responsibility
2007
End date of responsibility
2011
Country
Type(s) of responsibility
- general
Type of institution
commercial
Start date of responsibility
2011
End date of responsibility
2014
Policies (2)
Policy Name
Policy Name
Database access
Type of access to research data repository
open
Data access (1)
Type of access to data
open
Data licenses (1)
DataLicense
Data upload (1)
Type of data upload
restricted
Data upload restriction type(s)
- other
Data citation guideline
Enhanced Publication
no
Quality management
yes
Metadata standards (1)
Metadata standard
Remarks
Remarks
Million song dataset is covered by Clarivate Data Citation Index
Entry date
2020-02-10
Last update
2024-04-12
Cite this re3data.org record:
re3data.org: Million Song Dataset; editing status 2024-04-12; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMPA last accessed: 2025-04-27- Current projects
- EOSC FAIR-IMPACT
-
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Except where otherwise noted, content on this site is licensed under a
Creative Commons Attribution 4.0 International License
.
- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2025-04-27
