The MTG-Jamendo dataset for automatic music tagging

Bogdanov, Dmitry; Won, Minz; Tovstogan, Philip; Porter, Alastair; Serra, Xavier

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The MTG-Jamendo dataset for automatic music tagging

Document Type: Speech/Conference communication

Version: Accepted version

Date: 2019

This document is associated with a Creative Common license

Aquest document està subjecte a una llicència Creative Commons

https://mtg.github.io/mtg-jamendo-dataset/

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Citation: Bogdanov D, Won M, Tovstogan P, Porter A, Serra X. The MTG-Jamendo dataset for automatic music tagging. Paper presented at: ML4MD Machine Learning for Music Discovery Workshop at ICML2019; 2019 Jun 15; Long Beach, California.

Permanent link: http://hdl.handle.net/10230/42015

Description:

Comunicació presentada a: ML4MD Machine Learning for Music Discovery Workshop del congrés ICML2019 celebrat el 15 de juny de 2019 a Long Beach, California.

Abstract:

We present the MTG-Jamendo Dataset, a new open dataset for music auto-tagging. It is built using music available at Jamendo under Creative Commons licenses and tags provided by content uploaders. The dataset contains over 55,000 full audio tracks with 195 tags from genre, instrument, and mood/theme categories. We provide elaborated data splits for researchers and report the performance of a simple baseline approach on five different sets of tags: genre, instrument, mood/theme, top-50, ...