CoolFace
Datasetpublic

MusicDemixingBenchmarks/super_resolution_check

Music Demixing Benchmarks Super Resolution Checker for Music Unofficial, unpacked mirror of MVSep Quality Checker Super Resolution Checker for Music dataset. Super Resolution Checker for Music Leaderboard Official zip file: 0.9 GB Download hf CLI and the huggingface_hub Python package are orders of magnitude faster than git. Use Hugging Face Command Line Interface (CLI) git huggingface_hub Python package Choose individual files all files in the repository… See the full description on the dataset page: https://huggingface.co/datasets/MusicDemixingBenchmarks/super_resolution_check.

sourceHugging Faceotherupdated 4mo agoView on Hugging Face
0likes43downloads
Dataset Card

Music Demixing Benchmarks Super Resolution Checker for Music

Unofficial, unpacked mirror of MVSep Quality Checker Super Resolution Checker for Music dataset.

Download

`hf` CLI and the `huggingface_hub` Python package are orders of magnitude faster than `git`.

Remember to use --repo-type dataset or repo_type='dataset'

Example

python
filenames_mixture: list[str] = ...

submissionDatasetType: str = ...

pathRoot: str = huggingface_hub.snapshot_download(f'MusicDemixingBenchmarks/{submissionDatasetType}'
                    , repo_type = 'dataset'
                    , allow_patterns = filenames_mixture
                )

pathFilenames_mixture: list[str] = list(map(partial(fs.path.combine, pathRoot), filenames_mixture))

Genesis

bibtex
@misc{solovyev2024benchmarksleaderboardssounddemixing,
      title={Benchmarks and leaderboards for sound demixing tasks},
      author={Roman Solovyev and Alexander Stempkovskiy and Tatiana Habruseva},
      year={2024},
      eprint={2305.07489},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2305.07489},
}