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  This dataset comprises multiple-choice questions from the "Educational Review" articles published by the journal Pediatric Nephrology between January 2014 and April 2024. Each entry in the dataset includes the context of the question, the question itself, and the correct answer. This dataset is designed to evaluate the performance of large language models (LLMs) like ChatGPT-4o and Gemini 1.5 in the field of pediatric nephrology.
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- Had collaborated: Anna Di Sessa MD PhD, Stefano Guarino MD, Emanuele Miraglia del Giudice, Full Professor, Pierluigi Marzuillo, Associate Professor.
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  Affiliation: Department of Woman, Child and of General and Specialized Surgery, AOU University of Campania "Luigi Vanvitelli", Naples, Italy
 
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  This dataset comprises multiple-choice questions from the "Educational Review" articles published by the journal Pediatric Nephrology between January 2014 and April 2024. Each entry in the dataset includes the context of the question, the question itself, and the correct answer. This dataset is designed to evaluate the performance of large language models (LLMs) like ChatGPT-4o and Gemini 1.5 in the field of pediatric nephrology.
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+ Had collaborated: Vittoria Frattolillo MD, Simone Colosimo MD, Alessandra Perrotta MD, Anna Di Sessa MD PhD, Stefano Guarino MD, Emanuele Miraglia del Giudice, Full Professor, Pierluigi Marzuillo, Associate Professor.
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  Affiliation: Department of Woman, Child and of General and Specialized Surgery, AOU University of Campania "Luigi Vanvitelli", Naples, Italy