MSD-A: Million Song Dataset for Artists
<p>The MSD-A is a dataset related to the Million Song Dataset (MSD). It is a collection of artist tags and biographies gathered from Last.fm for all the artists that have songs in the MSD. In addition, the MSD Taste Profile (recommendation dataset) is adapted to artists.</p> <p>We provide the biographies, tags, data splits, and feature embeddings to reproduce the experiments from the paper:</p> <p>Oramas S., Nieto O., Sordo M., & Serra X. (2017) A Deep Multimodal Approach for Cold-start Music Recommendation. https://arxiv.org/abs/1706.09739</p> <p>Source code is available at https://github.com/sergiooramas/tartarus</p> <p>The file dlrs-data.tar.gz in this zenodo version is corrupted. You can download the good file in this link:</p> <p>https://drive.google.com/open?id=0B-oq_x72w8NUbUpkMzZSc1JPd28</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
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