[TEXT] MARD: Multimodal Album Reviews Dataset
List of results published directly linked with the projects co-funded by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Program (MDM-2015-0502).
List of publications acknowledging the funding in Scopus.
The record for each publication will include access to postprints (following the Open Access policy of the program), as well as datasets and software used. Ongoing work with UPF Library and Informatics will improve the interface and automation of the retrieval of this information soon.
The MdM Strategic Research Program has its own community in Zenodo for material available in this repository as well as at the UPF e-repository
MARD contains texts and accompanying metadata originally obtained from a much larger dataset of Amazon customer reviews, which have been enriched with music metadata from MusicBrainz, and audio descriptors from AcousticBrainz. MARD amounts to a total of 65,566 albums and 263,525 customer reviews. A breakdown of the number of albums per genre is provided here:
Genre | Amazon | MusicBrainz | AcousticBrainz |
---|---|---|---|
Alternative Rock | 2,674 | 1,696 | 564 |
Reggae | 509 | 260 | 79 |
Classical | 10,000 | 2,197 | 587 |
R\&B | 2,114 | 2,950 | 982 |
Country | 2,771 | 1,032 | 424 |
Jazz | 6,890 | 2,990 | 863 |
Metal | 1,785 | 1,294 | 500 |
Pop | 10,000 | 4,422 | 1701 |
New Age | 2,656 | 638 | 155 |
Dance & Electronic | 5,106 | 899 | 367 |
Rap & Hip-Hop | 1,679 | 768 | 207 |
Latin Music | 7,924 | 3,237 | 425 |
Rock | 7,315 | 4,100 | 1482 |
Gospel | 900 | 274 | 33 |
Blues | 1,158 | 448 | 135 |
Folk | 2,085 | 848 | 179 |
Total | 66,566 | 28,053 | 8,683 |
A subset of the dataset was created for genre classification experiments. It contains 100 albums by genre from different artists, from 13 different genres. All the albums have been mapped to MusicBrainz and AcousticBrainz. It contains semantic, acoustic and sentiment features.
We also provide all the necessary files to reproduce the experiments on genre classification in the paper referenced below
For details on the datasets and download please go to http://mtg.upf.edu/download/datasets/mard
For more details on how these files were generated, we refer to the following scientific publication. We would highly appreciate if scientific publications of works partly based on the MARD dataset quote the following publication: