MusicDemixingBenchmarks/piano
Music Demixing Benchmarks Piano Unofficial, unpacked mirror of MVSep Quality Checker Piano dataset. Piano Leaderboard (Piano) 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 subsets of files with filename pattern matching (fnmatch) Read more Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/MusicDemixingBenchmarks/piano.
Music Demixing Benchmarks Piano
Unofficial, unpacked mirror of MVSep Quality Checker Piano dataset.
- Piano Leaderboard (Piano)
- 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_hubPython package- Choose
- individual files
- all files in the repository
- subsets of files with filename pattern matching (fnmatch)
- Read more
- Hugging Face download guide
- Hugging Face repository and Git guide
Remember to use --repo-type dataset or repo_type='dataset'
Example
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
@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},
}