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The MTG-Jamendo Dataset for Automatic Music Tagging
| Title | The MTG-Jamendo Dataset for Automatic Music Tagging |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Conference Name | Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019) |
| Authors | Bogdanov, D. , Won M. , Tovstogan P. , Porter A. , & Serra X. |
| Conference Start Date | 15/06/2019 |
| Conference Location | Long Beach, CA, United States |
| 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, instru- ment, 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, and overall. |
| preprint/postprint document | http://hdl.handle.net/10230/42015 |
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