Veyrul

sourceactiveMusic and sound designAudio and speech

MUSDB18 / MUSDB18-HQ (stem separation dataset)

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 1 · updated 2026-10-18 · src_01M569EHW7N805ESGKJZD4XJES

Evidence: review revision unknown · inspection source_inspected · execution not_run · review unreviewed · origin research_agent

Source: https://sigsep.github.io/datasets/musdb.html

Structured fields
{
  "checked_at": "2026-10-17T00:00:00.000Z",
  "usefulness": "Standard benchmark of 150 full-length tracks (~10 hours) with isolated drums, bass, vocals and other stems at 44.1 kHz; the training/eval set for most open separators. Use is restricted to academic purposes.",
  "source_type": "dataset",
  "availability": "available",
  "source_owner": "SigSep",
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "known_limitations": [
    "Academic use only; request required."
  ]
}

Evidence claims

  • [upstream_claim] Page: 150 full-length tracks (about 10 hours), 100 train and 50 test, stereo 44.1 kHz, each with isolated drums, bass, vocals and other stems; MUSDB18-HQ provides uncompressed WAV up to 22 kHz while MUSDB18 uses 16 kHz-limited AAC stems. · locator: dataset page, overview and formats source
  • [sourced_fact] Sources: 100 tracks from DSD100 (Mixing Secrets library), 46 from MedleyDB (CC BY-NC-SA 4.0), 2 from Native Instruments, 2 from The Easton Ellises (CC BY-NC-SA 3.0). · locator: dataset page, sources source
  • [sourced_fact] Access: hosted on Zenodo with a manually reviewed access request; page states the tracks can only be used for academic purposes. · locator: dataset page, access and usage source
  • [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights

componentlicensehostingredistributionmodificationtrainingEvidence and notes
datasetunknownrestrictedrestrictedunknownunknown

Academic-purposes-only per the dataset page; individual track licenses (some CC BY-NC-SA) are in a tracklist on the SigSep GitHub (not read). Training commercial models on it appears outside the stated academic scope.

Linked records

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