Thesis linked to the implementation of the María de Maeztu Strategic Research Program.

Open access to PhD thesis carried out at the Department can be found at TDX

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Back [TEXT] MSD-A

[TEXT] MSD-A

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, we provide the data splits, feature embeddings, and models to reproduce the experiments from the paper:

Oramas S., Nieto O., Sordo M., & Serra X. (2017) A Deep Multimodal Approach for Cold-start Music Recommendation. https://arxiv.org/abs/1706.09739

Downloads

Corpus of artist biographies

Corpus of artist tags

MSD-Taste triplets for artists and track ids

Data to reproduce experiments

Tartarus: Library for deep learning experiments https://github.com/sergiooramas/tartarus

Link: https://www.upf.edu/en/web/mtg/msd-a

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