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.