cs229-audio-ml-project/musdb18-processed

Contents & fields

The dataset contains active stem segments extracted from MUSDB18, structured under extracted_stems/ with train/ and test/ subdirectories, each containing drums, bass, vocals, accompaniment, mixture folders, and a metadata/ folder with JSON files. Audio is 22.05 kHz mono. When loaded via Hugging Face datasets, each sample includes the following fields:

• audio——audio array and sample rate
• stem_type——type of stem (e.g., drums, bass)
• track_name——track name

Research uses

Suitable for music source separation, deep learning model training and evaluation, especially analysis of active vs. inactive audio segments.

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