mshoxxDB - a Versioned Dataset for Electronic Music
<p><strong>Description:</strong> Version 1(.1) consists of 18 full-length pieces of music in the genre of Electronic Music, totaling 61 minutes of audio. The dataset spans a number of sub-genres of Electronic Music: Video Game, 8-Bit (Chiptune), EDM, Pop, House, Chillout/Dreamy. The dataset is suited for a variety of tasks in the field of Music Information Retrieval (MIR), such as Source Separation, Multi-Pitch Estimation, Beat Detection, Tempo Estimation. It is particularly interesting for instrument-agnostic methods and evaluations of model generalization due to the wide variety of synthetic and traditional timbres.</p> <p><strong>Contents:</strong><br>- mixtures and multi-tracks in FLAC format (44.1 kHz, 16-Bit, Mono, compression level 6)<br>- track-wise MIDI files<br>- CSV metadata with genre, tempo, time signature, and artist information</p> <p><strong>Technical Properties:</strong> Not all mixtures are exact sums of their respective multi-tracks. The mixtures may contain additional processing in the form of limiters and compression (on the full mix or side-chain compression from one track to another). <strong><em>No harmonic effects were added onto the mixtures</em></strong> (= effects such as reverbs, echos, and delays that add more harmonic information and would result in mismatches between MIDI and audio).</p> <p><strong>License:</strong> All contents distributed under Creative Commons BY-NC-SA 4.0.</p> <p><strong>Demo Page:</strong> For a few listening examples, please visit this dataset's github page at <a href="https://mic-tae.github.io/mshoxxdb/">https://mic-tae.github.io/mshoxxdb/</a>.</p> <p><strong>Repo: </strong>The mshoxxDB repo is located at <a href="https://github.com/mic-tae/mshoxxdb">https://github.com/mic-tae/mshoxxdb</a>, and may contain more up-to-date information (README.md).</p> <p><strong>Citation:</strong> Should you use this dataset in your work, please cite it the following way (bibtex):</p> <blockquote> <p>@misc {taenzer:mshoxxDB:2024,<br> author = {Taenzer, Michael},<br> title = {{mshoxxDB - a Versioned Dataset for Electronic Music}},<br> booktitle = {{Late-Breaking and Demo Session of the 25th International Conference on Music Information Retrieval (ISMIR)}},<br> address = {{San Francisco, CA, USA}},<br> year = {2024},<br>}</p> </blockquote> <p><strong>Version 1.1 (16 July 2025)</strong><br>- all files now reflect main DB version number v1 (previous numbers were personal track session numbers)<br>- removed umlaut from Güte --> Guete<br>- added ms12 and ms14 dataset splits (json files), a license and readme file</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 0
- Engagement
- 4
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.