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README.md
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Virtual patients (VPs) have emerged as potent educational tools in medical training and healthcare simulation. They offer medical students the opportunity to simulate authentic clinical consultations, allowing them to practice a wide range of scenarios and gain valuable experience before engaging with real patients during medical exams or interviews. These VPs are built upon dialogue systems, which are automated AI systems designed to interact with users through natural language conversations. The primary objective of a dialogue system is to facilitate effective communication between humans and computers, comprehend user input in the form of text or speech, and provide appropriate responses to user queries.
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To achieve this objective, we have developed a medical domain QA corpus to enable models to
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## VIR-PAT-QA corpus
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Virtual patients (VPs) have emerged as potent educational tools in medical training and healthcare simulation. They offer medical students the opportunity to simulate authentic clinical consultations, allowing them to practice a wide range of scenarios and gain valuable experience before engaging with real patients during medical exams or interviews. These VPs are built upon dialogue systems, which are automated AI systems designed to interact with users through natural language conversations. The primary objective of a dialogue system is to facilitate effective communication between humans and computers, comprehend user input in the form of text or speech, and provide appropriate responses to user queries.
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To achieve this objective, we have developed a medical domain QA corpus in Spanish to enable models to get better results.
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## VIR-PAT-QA corpus
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