{"url":"/dataset/wilddesed","name":"WildDESED","full_name":"Wild Domestic Environment Sound Event Detection","description_markdown":"WildDESED is an extension of the original DESED dataset, created to reflect various domestic scenarios by incorporating complex and unpredictable background noises. These enhancements make WildDESED a powerful resource for developing and evaluating noise-robust SED systems.","description_withheld":null,"homepage":"https://swagshaw.github.io/projects/WILDDESED.html","introduced_date":"2024-07-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/wilddesed-an-llm-powered-dataset-for-wild","title":"WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System","first_author":"Yang Xiao","url":null},"license":{"name":"CC-BY-SA","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Sound Event Detection","url":"/task/sound-event-detection","datasets_with_task":"/datasets/task/sound-event-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["WildDESED"],"data_loaders":[{"repo":"https://github.com/swagshaw/wilddesed","url":"https://github.com/swagshaw/wilddesed","frameworks":["pytorch"]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sound-event-detection-on-wilddesed","task":"Sound Event Detection","dataset_variant":"WildDESED","rows":5,"metrics":["PSDS1 (-5dB)","PSDS1 (0dB)","PSDS1 (5dB)","PSDS1 (10dB)","PSDS1 (Clean)"],"first_row_in_archive_order":{"model":"CRNN (with BEATs + Separation)","paper":"/paper/leveraging-llm-and-text-queried-separation","metrics":{"PSDS1 (-5dB)":"0.134","PSDS1 (0dB)":"0.219","PSDS1 (10dB)":"0.356","PSDS1 (5dB)":"0.291","PSDS1 (Clean)":"0.440"},"code_links":[{"title":"apple-yinhan/noise-robust-sed","url":"https://github.com/apple-yinhan/noise-robust-sed"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/leveraging-llm-and-text-queried-separation","title":"Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection","date":"2024-11-02","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/wilddesed-an-llm-powered-dataset-for-wild","title":"WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System","date":"2024-07-04","rows_on_this_dataset":3,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}