diff options
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-mirdata.spec | 351 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 353 insertions, 0 deletions
@@ -0,0 +1 @@ +/mirdata-0.3.7.tar.gz diff --git a/python-mirdata.spec b/python-mirdata.spec new file mode 100644 index 0000000..4e3d173 --- /dev/null +++ b/python-mirdata.spec @@ -0,0 +1,351 @@ +%global _empty_manifest_terminate_build 0 +Name: python-mirdata +Version: 0.3.7 +Release: 1 +Summary: Common loaders for MIR datasets. +License: BSD-3-Clause +URL: https://github.com/mir-dataset-loaders/mirdata +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/bd/57/00c6ce24c1a5f8db1ae0fe9256d05a2c77978b1b05585beb4db36b15389d/mirdata-0.3.7.tar.gz +BuildArch: noarch + +Requires: python3-tqdm +Requires: python3-librosa +Requires: python3-numpy +Requires: python3-jams +Requires: python3-requests +Requires: python3-pretty-midi +Requires: python3-chardet +Requires: python3-pyyaml +Requires: python3-scipy +Requires: python3-h5py +Requires: python3-smart-open +Requires: python3-Deprecated +Requires: python3-pandas +Requires: python3-openpyxl +Requires: python3-openpyxl +Requires: python3-dali-dataset +Requires: python3-numpydoc +Requires: python3-recommonmark +Requires: python3-sphinx +Requires: python3-sphinxcontrib-napoleon +Requires: python3-sphinx-rtd-theme +Requires: python3-smart-open[gcs] +Requires: python3-music21 +Requires: python3-smart-open[http] +Requires: python3-smart-open[s3] +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-pep8 +Requires: python3-pytest-mock +Requires: python3-pytest-localserver +Requires: python3-testcontainers +Requires: python3-future +Requires: python3-coveralls +Requires: python3-types-PyYAML +Requires: python3-types-chardet +Requires: python3-smart-open[all] + +%description +# mirdata +common loaders for Music Information Retrieval (MIR) datasets. Find the API documentation [here](https://mirdata.readthedocs.io/). + +[](https://circleci.com/gh/mir-dataset-loaders/mirdata) +[](https://codecov.io/gh/mir-dataset-loaders/mirdata) +[](https://mirdata.readthedocs.io/en/latest/?badge=latest) + + + +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](https://github.com/craffel/mir_eval) +* parsing track level metadata for detailed evaluations + + +### Installation + +To install, simply run: + +```python +pip install mirdata +``` + +### Quick example +```python +import mirdata + +orchset = mirdata.initialize('orchset') +orchset.download() # download the dataset +orchset.validate() # validate that all the expected files are there + +example_track = orchset.choice_track() # choose a random example track +print(example_track) # see the available data +``` +See the [documentation](https://mirdata.readthedocs.io/) for more examples and the API reference. + + +### Currently supported datasets + + +Supported datasets include [AcousticBrainz](https://zenodo.org/record/2553414#.X8jTgulKhhE), [DALI](https://github.com/gabolsgabs/DALI), [Guitarset](http://github.com/marl/guitarset/), [MAESTRO](https://magenta.tensorflow.org/datasets/maestro), [TinySOL](https://www.orch-idea.org/), among many others. + +For the **complete list** of supported datasets, see the [documentation](https://mirdata.readthedocs.io/en/stable/source/quick_reference.html) + + +### 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: + +[](https://doi.org/10.5281/zenodo.4355859) + +If you refer to mirdata's design principles, motivation etc., please cite the following [paper](https://zenodo.org/record/3527750#.X-Inp5NKhUI): + +[](https://doi.org/10.5281/zenodo.3527750) + +``` +"mirdata: Software for Reproducible Usage of Datasets" +Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, and Thor Kell +in International Society for Music Information Retrieval (ISMIR) Conference, 2019 +``` + +``` +@inproceedings{ + bittner_fuentes_2019, + title={mirdata: Software for Reproducible Usage of Datasets}, + author={Bittner, Rachel M and Fuentes, Magdalena and Rubinstein, David and Jansson, Andreas and Choi, Keunwoo and Kell, Thor}, + booktitle={International Society for Music Information Retrieval (ISMIR) Conference}, + year={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 a new dataset loader + +We welcome contributions to this library, especially new datasets. Please see [contributing](https://mirdata.readthedocs.io/en/latest/source/contributing.html) for guidelines. + + +%package -n python3-mirdata +Summary: Common loaders for MIR datasets. +Provides: python-mirdata +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-mirdata +# mirdata +common loaders for Music Information Retrieval (MIR) datasets. Find the API documentation [here](https://mirdata.readthedocs.io/). + +[](https://circleci.com/gh/mir-dataset-loaders/mirdata) +[](https://codecov.io/gh/mir-dataset-loaders/mirdata) +[](https://mirdata.readthedocs.io/en/latest/?badge=latest) + + + +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](https://github.com/craffel/mir_eval) +* parsing track level metadata for detailed evaluations + + +### Installation + +To install, simply run: + +```python +pip install mirdata +``` + +### Quick example +```python +import mirdata + +orchset = mirdata.initialize('orchset') +orchset.download() # download the dataset +orchset.validate() # validate that all the expected files are there + +example_track = orchset.choice_track() # choose a random example track +print(example_track) # see the available data +``` +See the [documentation](https://mirdata.readthedocs.io/) for more examples and the API reference. + + +### Currently supported datasets + + +Supported datasets include [AcousticBrainz](https://zenodo.org/record/2553414#.X8jTgulKhhE), [DALI](https://github.com/gabolsgabs/DALI), [Guitarset](http://github.com/marl/guitarset/), [MAESTRO](https://magenta.tensorflow.org/datasets/maestro), [TinySOL](https://www.orch-idea.org/), among many others. + +For the **complete list** of supported datasets, see the [documentation](https://mirdata.readthedocs.io/en/stable/source/quick_reference.html) + + +### 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: + +[](https://doi.org/10.5281/zenodo.4355859) + +If you refer to mirdata's design principles, motivation etc., please cite the following [paper](https://zenodo.org/record/3527750#.X-Inp5NKhUI): + +[](https://doi.org/10.5281/zenodo.3527750) + +``` +"mirdata: Software for Reproducible Usage of Datasets" +Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, and Thor Kell +in International Society for Music Information Retrieval (ISMIR) Conference, 2019 +``` + +``` +@inproceedings{ + bittner_fuentes_2019, + title={mirdata: Software for Reproducible Usage of Datasets}, + author={Bittner, Rachel M and Fuentes, Magdalena and Rubinstein, David and Jansson, Andreas and Choi, Keunwoo and Kell, Thor}, + booktitle={International Society for Music Information Retrieval (ISMIR) Conference}, + year={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 a new dataset loader + +We welcome contributions to this library, especially new datasets. Please see [contributing](https://mirdata.readthedocs.io/en/latest/source/contributing.html) for guidelines. + + +%package help +Summary: Development documents and examples for mirdata +Provides: python3-mirdata-doc +%description help +# mirdata +common loaders for Music Information Retrieval (MIR) datasets. Find the API documentation [here](https://mirdata.readthedocs.io/). + +[](https://circleci.com/gh/mir-dataset-loaders/mirdata) +[](https://codecov.io/gh/mir-dataset-loaders/mirdata) +[](https://mirdata.readthedocs.io/en/latest/?badge=latest) + + + +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](https://github.com/craffel/mir_eval) +* parsing track level metadata for detailed evaluations + + +### Installation + +To install, simply run: + +```python +pip install mirdata +``` + +### Quick example +```python +import mirdata + +orchset = mirdata.initialize('orchset') +orchset.download() # download the dataset +orchset.validate() # validate that all the expected files are there + +example_track = orchset.choice_track() # choose a random example track +print(example_track) # see the available data +``` +See the [documentation](https://mirdata.readthedocs.io/) for more examples and the API reference. + + +### Currently supported datasets + + +Supported datasets include [AcousticBrainz](https://zenodo.org/record/2553414#.X8jTgulKhhE), [DALI](https://github.com/gabolsgabs/DALI), [Guitarset](http://github.com/marl/guitarset/), [MAESTRO](https://magenta.tensorflow.org/datasets/maestro), [TinySOL](https://www.orch-idea.org/), among many others. + +For the **complete list** of supported datasets, see the [documentation](https://mirdata.readthedocs.io/en/stable/source/quick_reference.html) + + +### 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: + +[](https://doi.org/10.5281/zenodo.4355859) + +If you refer to mirdata's design principles, motivation etc., please cite the following [paper](https://zenodo.org/record/3527750#.X-Inp5NKhUI): + +[](https://doi.org/10.5281/zenodo.3527750) + +``` +"mirdata: Software for Reproducible Usage of Datasets" +Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, and Thor Kell +in International Society for Music Information Retrieval (ISMIR) Conference, 2019 +``` + +``` +@inproceedings{ + bittner_fuentes_2019, + title={mirdata: Software for Reproducible Usage of Datasets}, + author={Bittner, Rachel M and Fuentes, Magdalena and Rubinstein, David and Jansson, Andreas and Choi, Keunwoo and Kell, Thor}, + booktitle={International Society for Music Information Retrieval (ISMIR) Conference}, + year={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 a new dataset loader + +We welcome contributions to this library, especially new datasets. Please see [contributing](https://mirdata.readthedocs.io/en/latest/source/contributing.html) for guidelines. + + +%prep +%autosetup -n mirdata-0.3.7 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-mirdata -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.7-1 +- Package Spec generated @@ -0,0 +1 @@ +596b4719bd8c0de539771474bc9430c0 mirdata-0.3.7.tar.gz |