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We motivate and introduce CHARD: Clinical Health-Aware Reasoning acrossDimensions, to investigate the capability of text generation models to act asimplicit clinical knowledge bases and generate free-flow textual explanationsabout various health-related conditions across several dimensions. We collectand present an associated dataset, CHARDat, consisting of explanations about 52health conditions across three clinical dimensions. We conduct extensiveexperiments using BART and T5 along with data augmentation, and performautomatic, human, and qualitative analyses. We show that while our models canperform decently, CHARD is very challenging with strong potential for furtherexploration.

CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models