mirdata ======= .. toctree:: :maxdepth: 1 :titlesonly: ``Mirdata`` is an open-source Python library that provides tools for working with common Music Information Retrieval (MIR) datasets, including tools for: * downloading datasets to a common location and format * validating that the files for a dataset are all present * loading annotation files to a common format, consistent with ``mir_eval`` * parsing track level metadata for detailed evaluations. .. code-block:: pip install mirdata For more details on how to use the library see the :ref:`tutorial`. Citing mirdata -------------- If you are using the library for your work, please cite the version you used as indexed at Zenodo: .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.10070589.svg :target: https://doi.org/10.5281/zenodo.10070589 If you refer to mirdata's design principles, motivation etc., please cite the following `paper `_ [#]_: .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3527750.svg :target: https://doi.org/10.5281/zenodo.3527750 .. [#] Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, and Thor Kell. "mirdata: Software for Reproducible Usage of Datasets." In Proceedings of the 20th International Society for Music Information Retrieval (ISMIR) Conference, 2019.: When working with datasets, please cite the version of Mirdata that you are using (given by the ``DOI`` above) **AND** include the reference of the dataset, which can be found in the respective dataset loader using the ``cite()`` method. Contributing to mirdata ----------------------- We welcome contributions to this library, especially new datasets. Please see :ref:`contributing` for guidelines. - `Issue Tracker `_ - `Source Code `_ .. toctree:: :caption: Get Started :maxdepth: 1 source/overview source/quick_reference source/contributing source/tutorial .. toctree:: :caption: API documentation :maxdepth: 1 source/mirdata .. toctree:: :caption: Further Information :maxdepth: 1 source/faq