This dataset contains a curated collection of medical questions and answers extracted from mock exams or study materials used for E.C.N. preparation.
Each entry includes metadata about the question's origin, medical specialty, and educational institution, ensuring comprehensive coverage across key topics.
Dataset Features:
The dataset is organized into the following fields:
- speciality: The medical specialty related to the question (e.g., Cardiology, Neurology).
- subject: The specific topic or case study covered by the question.
- university: The university or institution that provided the question.
- year: The year of the question's creation or usage.
- question: The text of the question.
- answer: The answer text (correct or incorrect) for the corresponding question.
- justification: A detailed explanation or reasoning for the answer.
- is_correct: A boolean indicating whether the answer is correct (True) or incorrect (False).
Data Statistics:
- Number of Specialties: Covers multiple specialties, including Cardiology, Pediatrics, and more.
- Number of Questions: Contains hundreds of questions, each with multiple correct and incorrect answers.
- Educational Coverage: Questions sourced from top medical universities.
Usage Examples:
- Educational Use: Ideal for medical students preparing for E.C.N. or other competitive exams.
- Natural Language Processing (NLP): A valuable resource for NLP models in question answering or text classification.
- Medical Education Research: Analyze question difficulty or identify patterns in student preparation.
File Formats:
- JSON: Original data structure with nested questions and answers.
- CSV: Flattened format for easy analysis and integration.
Language:
Acknowledgments:
This dataset is based on publicly available resources for E.C.N. preparation and does not contain proprietary or copyrighted material. Special thanks to educators and institutions contributing to high-quality medical education.