Annotated MIMIC-IV discharge summaries for a study on deidentification of names

We introduce a dataset of people's names and clinical note templates to
support research on the demographic bias of de-identification systems. The
dataset contains 16 name sets that vary along four demographic dimensions:
gender, race, name popularity, and the decade of popularity. It also includes
100 clinical templates manually curated from MIMIC-IV discharge summaries.
These templates are then populated with names generated from the 16 name sets
to investigate the demographic bias in nine public and private de-
identification methods. The dataset provides a valuable resource for
researchers who are interested in understanding and mitigating the unfairness
of de-identification systems.