{"url":"/dataset/reflacx","name":"REFLACX","full_name":"Reports and eye-tracking data for localization of abnormalities in chest x-rays","description_markdown":"The REFLACX dataset contains eye-tracking data for 3,032 readings of chest x-rays by five radiologists. The dictated reports were transcribed and have timestamps synchronized with the eye-tracking data. \r\n\r\nLocalization labels for abnormalities are very costly, and the collection of eye-tracking data and reports for implicit localization labels may be an alternative for scaling up data collection. One of the potential uses for these data is in additional supervision for training computer vision models. For more details, check the [Physionet page](https://physionet.org/content/reflacx-xray-localization/1.0.0/) and the dataset description paper (\"REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays\").","description_withheld":null,"homepage":"https://physionet.org/content/reflacx-xray-localization/1.0.0/","introduced_date":"2021-09-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/reflacx-a-dataset-of-reports-and-eye-tracking","title":"REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays","first_author":"Ricardo Bigolin Lanfredi","url":null},"license":{"name":"PhysioNet Restricted Health Data License 1.5.0","url":"https://www.physionet.org/content/reflacx-xray-localization/view-license/1.0.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"Medical Diagnosis","url":"/task/medical-diagnosis","datasets_with_task":"/datasets/task/medical-diagnosis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["REFLACX"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}