Dataset · Hugging Face

amaai-lab/SonicMasterDataset

Name: SonicMasterDataset
Creator: amaai-lab
License: cc-by-2.0
Keywords: task_categories:audio-to-audio, annotations_creators:expert-generated, annotations_creators:machine-generated, multilinguality:monolingual, source_datasets:original, language:en, license:cc-by-2.0, size_categories:100K<n<1M, format:parquet, modality:audio, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant

The SonicMaster dataset is a large collection of paired degraded and high-quality music tracks, introduced in the paper SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering. This dataset was constructed by applying nineteen degradation functions belonging to five enhancement groups: equalization, dynamics, reverb, amplitude, and stereo. It is designed to train unified generative models for music restoration and mastering. The original music files were sourced from the… See the full description on the dataset page: https://huggingface.co/datasets/amaai-lab/SonicMasterDat

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Author / organization	amaai-lab
License (as declared)	cc-by-2.0
Downloads	1.8K (as reported by Hugging Face)
Likes	12
Created	1 August 2025
Last updated at source	16 September 2026

audio-enhancementaudio-restoration

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