SupplementaryMaterial

This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant (No.2019-0-00075, Artificial Intelligence Graduate School Program(KAIST)), National Research Foundation of Korea (NRF) grant (NRF2020H1D3A2A03100945) andDataVoucher grant(2021-DV-I-P-00114), funded bythe Koreagovernment(MSIT). The dataset contains question-SQL pairs if the question is answerable. Are relationships between individual instances made explicit (e.g., users' movie ratings, socialnetworklinks)? N/A. Arethereanyerrors,sourcesofnoise,orredundanciesinthedataset? Question templates are created to have slots that are later filled with pre-defined values and records from the database. EHRSQL is based on patients in MIMIC-III and eICU.