{"url":"/dataset/circor-digiscope","name":"CirCor DigiScope","full_name":null,"description_markdown":"CirCor DigiScope is currently the largest pediatric heart sound dataset. A total of 5282 recordings have been collected from the four main auscultation locations of 1568 patients, in the process 215780 heart sounds have been manually annotated. Each cardiac murmur has been manually annotated by an expert annotator according to its timing, shape, pitch, grading and quality.\r\n\r\nSource: [https://arxiv.org/pdf/2108.00813v1.pdf](https://arxiv.org/pdf/2108.00813v1.pdf)","description_withheld":null,"homepage":"https://arxiv.org/pdf/2108.00813v1.pdf","introduced_date":"2021-08-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-circor-digiscope-dataset-from-murmur","title":"The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification","first_author":"Jorge Oliveira","url":null},"license":null,"modalities":[],"tasks":[{"name":"Classify murmurs","url":"/task/classify-murmurs","datasets_with_task":"/datasets/task/classify-murmurs"},{"name":"Predict clinical outcome","url":"/task/predict-clinical-outcome","datasets_with_task":"/datasets/task/predict-clinical-outcome"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["CirCor DigiScope"],"data_loaders":[{"repo":"https://github.com/Bsingstad/Heart-murmur-detection-2022-Simulab","url":"https://physionet.org/content/circor-heart-sound/1.0.3/","frameworks":["tf"]}],"num_papers_in_archive":13,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/classify-murmurs-on-circor-digiscope","task":"Classify murmurs","dataset_variant":"CirCor DigiScope","rows":3,"metrics":["Weighted Accuracy","Weighted accuracy (validation)","Weighted accuracy (cross-val)","Unweighted average recall"],"first_row_in_archive_order":{"model":"M2D","paper":"/paper/exploring-pre-trained-general-purpose-audio","metrics":{"Unweighted average recall":"0.713","Weighted Accuracy":"0.832"},"code_links":[{"title":"nttcslab/m2d","url":"https://github.com/nttcslab/m2d"},{"title":"nttcslab/eval-audio-repr","url":"https://github.com/nttcslab/eval-audio-repr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/predict-clinical-outcome-on-circor-digiscope","task":"Predict clinical outcome","dataset_variant":"CirCor DigiScope","rows":1,"metrics":["Clinical cost score","Clinical cost score (validation data)","Clinical cost score (cross-val)"],"first_row_in_archive_order":{"model":"Inception Time","paper":"/paper/phonocardiogram-classification-using-1","metrics":{"Clinical cost score":"12419","Clinical cost score (cross-val)":"12315±903","Clinical cost score (validation data)":"8720"},"code_links":[{"title":"Bsingstad/Heart-murmur-detection-2022-Simulab","url":"https://github.com/Bsingstad/Heart-murmur-detection-2022-Simulab"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/exploring-pre-trained-general-purpose-audio","title":"Exploring Pre-trained General-purpose Audio Representations for Heart Murmur Detection","date":"2024-04-26","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/dual-bayesian-resnet-a-deep-learning-approach-1","title":"Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection","date":"2023-05-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/phonocardiogram-classification-using-1","title":"Phonocardiogram Classification Using 1-Dimensional Inception Time Convolutional Neural Networks","date":"2022-09-07","rows_on_this_dataset":2,"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."}