REFLACX: Reports and eye-tracking data for localization of abnormalities in chest x-rays

Labels localizing anomalies are rare in current chest x-rays datasets. We
collected a dataset, using a method that can potentially be scaled up, to be a
proof-of-concept for collecting implicit localization data through an eye-
tracker. This dataset, named REFLACX, provides eye-tracking data collected
while radiologists dictated reports for frontal chest x-rays from the MIMIC-
CXR dataset, paired with the timestamped transcription of the dictation. The
dataset contains 3,032 cases of synchronized eye-tracking and transcription
pairs labeled by five radiologists. For each case, we also provide other
labels for validating algorithms derived from this dataset. These labels
include image-level labels of anomalies found during the reading, ellipses
localizing these anomalies, and bounding boxes around lungs and heart. A
subset of 109 chest x-rays has readings from all radiologists to estimate the
variability of the provided labels.