{"repo":"mir-dataset-loaders/mirdata","free":true,"listed":false,"github":"https://github.com/mir-dataset-loaders/mirdata","clone":"git clone https://github.com/mir-dataset-loaders/mirdata.git","description":"Python library for working with Music Information Retrieval datasets","language":"Python","stars":413,"topics":["music","audio","python","dataset","mirdata","mir"],"license":"BSD-3-Clause","category":"media-processing","readme_excerpt":"mirdata Common loaders for Music Information Retrieval (MIR) datasets. Find the API documentation here. This library provides tools for working with common 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 the format required by mir eval parsing track level metadata for detailed evaluations Installation To install, simply run: Quick example See the documentation for more examples and the API reference. Currently supported datasets Supported datasets include AcousticBrainz, DALI, Guitarset, MAESTRO, TinySOL, among many others. For the complete list of supported datasets, see the documentation Citing There are two ways of citing mirdata: If you are using the library for your work, please cite the version you used as indexed at Zenodo: If you refer to mirdata's design principles, motivation etc., please cite the following paper: 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 a new dataset loader We welcome contributions to this library, especially new datasets. Please see contributing for guidelines.","default_branch":null,"files":null,"tree":[],"storefront":"/r/mir-dataset-loaders","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mir-dataset-loaders/mirdata/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}