{"url":"/dataset/musdb18-hq","name":"MUSDB18-HQ","full_name":null,"description_markdown":"**MUSDB18-HQ** is a high-quality version of the MUSDB18 music tracks dataset. The high-quality dataset consists of the same 150 songs, but instead of MP4 files (compressed with Advanced Audio Coding encoder at 256kbps, with bandwidth limited to 16kHz), the songs are provided as raw WAV files.\nImage Source: [https://sigsep.github.io/datasets/musdb.html](https://sigsep.github.io/datasets/musdb.html)","description_withheld":null,"homepage":"https://sigsep.github.io/datasets/musdb.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Music Source Separation","url":"/task/music-source-separation","datasets_with_task":"/datasets/task/music-source-separation"}],"languages":[],"variants":["MUSDB18-HQ"],"data_loaders":[],"num_papers_in_archive":15,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/music-source-separation-on-musdb18-hq","task":"Music Source Separation","dataset_variant":"MUSDB18-HQ","rows":14,"metrics":["SDR (avg)","SDR (bass)","SDR (drums)","SDR (others)","SDR (vocals)"],"first_row_in_archive_order":{"model":"BS-RoFormer (L=12, OA)","paper":null,"metrics":{"SDR (avg)":"11.99","SDR (bass)":"13.32","SDR (drums)":"12.91","SDR (others)":"9.01","SDR (vocals)":"12.72"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/scnet-sparse-compression-network-for-music","title":"SCNet: Sparse Compression Network for Music Source Separation","date":"2024-01-24","rows_on_this_dataset":2,"code_links":3,"syntology":null},{"paper":"/paper/music-source-separation-based-on-a","title":"Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)","date":"2023-09-15","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/sound-demixing-challenge-2023-music-demixing","title":"Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3","date":"2023-06-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hybrid-transformers-for-music-source","title":"Hybrid Transformers for Music Source Separation","date":"2022-11-15","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":0,"samples_unverified":10,"pointer_only_for_licence":10,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/music-source-separation-with-band-split-rnn","title":"Music Source Separation with Band-split RNN","date":"2022-09-30","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":0,"samples_unverified":10,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/cws-presunet-music-source-separation-with","title":"CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet","date":"2021-12-09","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/transfer-learning-with-jukebox-for-music","title":"Transfer Learning with Jukebox for Music Source Separation","date":"2021-11-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/kuielab-mdx-net-a-two-stream-neural-network","title":"KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing","date":"2021-11-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hybrid-spectrogram-and-waveform-source","title":"Hybrid Spectrogram and Waveform Source Separation","date":"2021-11-05","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":20,"samples_ran":0,"samples_unverified":20,"pointer_only_for_licence":10,"papers_with_no_sample_that_ran":2,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}