Public Data for: Computer Assisted Verbal Autopsy: Comparing Large Language Models to Physicians for Assigning Causes to 6939 Deaths in Sierra Leone from 2019-2022

Wen, Richard2026-10-192025-12-07Wen, R., Assalif, A. T., Lee, A. S.-H., Kamadod, R., Carshon-Marsh, R., Meh, C., Ng, K. S., Brown, P., Jha, P., & Ansumana, R. (2025). Public Data for: Computer Assisted Verbal Autopsy: Comparing Large Language Models to Physicians for Assigning Causes to 6939 Deaths in Sierra Leone from 2019-2022 [Data set]. Harvard University. https://doi.org/10.7910/dvn/qdljcf10.7910/dvn/qdljcfhttps://doi.org/10.7910/dvn/qdljcfhttps://dspace.njala.edu.sl/handle/20.500.144402/425Public data on 6939 deaths in Sierra Leone from 2019-2022 acquired through verbal autopsy. The data was collected for a study comparing GPT and OpenVA models to physician coding of deaths.Public domaincause of death classificationPublic Data for: Computer Assisted Verbal Autopsy: Comparing Large Language Models to Physicians for Assigning Causes to 6939 Deaths in Sierra Leone from 2019-2022Dataset