Datasets

This submodule presents helper functions to works and process MIR datasets for different tasks such as:

• Automatic Chord Recognition: ACR

• Music Generation or Composition

Note

Not all the datasets shown here are included in musicaiz souce code. Some of these datasets have their own GitHub repository with their corresponding helper functions.

Music Composition or Generation

• JS Bach Chorales

  Boulanger-Lewandowski, N., Bengio, Y., & Vincent, P. (2012). Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription. arXiv preprint arXiv:1206.6392.

  Download: http://www-ens.iro.umontreal.ca/~boulanni/icml2012

  Paper: https://arxiv.org/abs/1206.6392

• JS Bach Fakes

  Peracha, O. (2021). Js fake chorales: a synthetic dataset of polyphonic music with human annotation. arXiv preprint arXiv:2107.10388.

  Paper: https://arxiv.org/abs/2107.10388

  Repository & Download: https://github.com/omarperacha/js-fakes

• Lakh MIDI Dataset (LMD)

  Raffel, C. (2016). Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching. Columbia University.

  Thesis: http://colinraffel.com/publications/thesis.pdf

  Download: https://colinraffel.com/projects/lmd/

• MAESTRO

  Hawthorne, C., Stasyuk, A., Roberts, A., Simon, I., Huang, C. Z. A., Dieleman, S., … & Eck, D. (2018). Enabling factorized piano music modeling and generation with the MAESTRO dataset. arXiv preprint arXiv:1810.12247.

  Download: https://magenta.tensorflow.org/datasets/maestro

  Paper: https://arxiv.org/abs/1810.12247

• Slakh2100

  Manilow, E., Wichern, G., Seetharaman, P., & Le Roux, J. (2019). Cutting music source separation some Slakh: A dataset to study the impact of training data quality and quantity. In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (pp. 45-49). IEEE.

  Download link: https://zenodo.org/record/4599666#.YpD8ZO7P1PY

  Paper: https://ieeexplore.ieee.org/abstract/document/8937170

  Repository: https://github.com/ethman/Slakh

• Meta-MIDI Dataset

  Ens, J., & Pasquier, P. (2021). Building the metamidi dataset: Linking symbolic and audio musical data. In Proceedings of 22st International Conference on Music Information Retrieval, ISMIR.

  Download link: https://zenodo.org/record/5142664#.YpD8he7P1PY

  Paper: https://archives.ismir.net/ismir2021/paper/000022.pdf

  Repository: https://github.com/jeffreyjohnens/MetaMIDIDataset

Automatic Chord Recognition

• Schubert Winterreise Dataset

  Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, & Harald G. Grohganz. (2020). Schubert Winterreise Dataset [Data set]. In ACM Journal on Computing and Cultural Heritage (1.0).

  Download: https://doi.org/10.5281/zenodo.3968389

  Paper: https://dl.acm.org/doi/10.1145/3429743

• BPS-FH Dataset

  Chen, T. P., & Su, L. (2018). Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural Networks. In Proceedings of 19th International Conference on Music Information Retrieval, ISMIR. pp. 90-97.

  Repository & Download: https://github.com/Tsung-Ping/functional-harmony

  Paper: http://ismir2018.ircam.fr/doc/pdfs/178_Paper.pdf