Update app.py
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app.py
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@@ -9,7 +9,7 @@ Recent research has made available Spanish Language Models trained on Biomedical
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The models were trained on the <a href="https://huggingface.co/datasets/squad_es">SQUAD_ES Dataset</a> (automatic translation of the Stanford Question Answering Dataset into Spanish). SQUAD v2 version was chosen in order to include questions that cannot be answered based on a provided context.
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The models were evaluated on <a href="https://huggingface.co/datasets/hackathon-pln-es/biomed_squad_es_v2">BIOMED_SQUAD_ES_V2 Dataset</a> , a subset of the SQUAD_ES
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The project is aligned with goal number 3 of the <a href="https://www.un.org/sustainabledevelopment/">Sustainable Development Goals</a> promoted by the United Nations: "Ensure a healthy life and promote well-being for all at all ages", since this research can lead to the development of tools that facilitate the access to health information by doctors and Spanish-speaking people from all over the world.
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The models were trained on the <a href="https://huggingface.co/datasets/squad_es">SQUAD_ES Dataset</a> (automatic translation of the Stanford Question Answering Dataset into Spanish). SQUAD v2 version was chosen in order to include questions that cannot be answered based on a provided context.
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The models were evaluated on <a href="https://huggingface.co/datasets/hackathon-pln-es/biomed_squad_es_v2">BIOMED_SQUAD_ES_V2 Dataset</a> , a subset of the SQUAD_ES evaluation dataset containing questions related to the Biomedical domain.
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The project is aligned with goal number 3 of the <a href="https://www.un.org/sustainabledevelopment/">Sustainable Development Goals</a> promoted by the United Nations: "Ensure a healthy life and promote well-being for all at all ages", since this research can lead to the development of tools that facilitate the access to health information by doctors and Spanish-speaking people from all over the world.
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