{"url":"/dataset/chest-wall-lung-sound-dataset","name":"Chest wall lung sound dataset","full_name":null,"description_markdown":"Annotated audio files (separate combined annotation file) of lung sounds as recorded from various vantage points of the chest wall. The annotation includes the sound type (Insipratory: I, Experiatory: E, Wheezes: W, Crackles: C , N:Normal), the diagnosis as decided by a specialist (Asthma, COPD, BRON, heart failure, lung fibrosis, etc.), and the location on the chest wall from which the recording was taken (Posterior: P Lower: L Left: L Right R, UPPER: U, ANTERIOR: A, MIDDLE: M). The audio file names are coded: 1. Filter type; B: BELL 20-200Hz, Diaphragm 100-500 Hz, Extended range 50-500 Hz. 2. Patient number: P1-P112.","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/jwyy9np4gv/2","introduced_date":"2021-01-23","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY 4.0","url":null},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Medical","url":"/datasets/modality/medical"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Audio Classification","url":"/task/audio-classification","datasets_with_task":"/datasets/task/audio-classification"},{"name":"Lung Sound Classification","url":"/task/lung-sound-classification","datasets_with_task":"/datasets/task/lung-sound-classification"},{"name":"Asthmatic Lung Sound Classification","url":"/task/asthmatic-lung-sound-classification","datasets_with_task":"/datasets/task/asthmatic-lung-sound-classification"},{"name":"Lung Disease Classification","url":"/task/lung-disease-classification","datasets_with_task":"/datasets/task/lung-disease-classification"}],"languages":[],"variants":["Chest wall lung sound dataset"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/asthmatic-lung-sound-classification-on-chest","task":"Asthmatic Lung Sound Classification","dataset_variant":"Chest wall lung sound dataset","rows":2,"metrics":["2-Class Accuracy"],"first_row_in_archive_order":{"model":"AsthmaSCELNet","paper":"/paper/asthmascelnet-a-lightweight-supervised","metrics":{"2-Class Accuracy":"98.54"},"code_links":[{"title":"rsarka34/AsthmaSCELNet-INTERSPEECH","url":"https://github.com/rsarka34/AsthmaSCELNet-INTERSPEECH"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/asthmascelnet-a-lightweight-supervised","title":"AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds","date":"2023-08-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/astfsonn-a-unified-framework-based-on-time","title":"AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification","date":"2023-07-10","rows_on_this_dataset":1,"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."}