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README.md
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## Training Data
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The training data consists of
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The training data was manually labeled by domain experts, who classified each question as either "medical" or "non-medical" based on the context and content. The labeled data was then used to train the Medical Questions Classifier using a BERT-based architecture.
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## Training Data
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The training data consists of 25,000+ questions sourced from various medical and non-medical domains. Efforts were made to ensure diversity in question types, covering a wide range of medical conditions, symptoms, treatments, and general non-medical topics.
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The training data was manually labeled by domain experts, who classified each question as either "medical" or "non-medical" based on the context and content. The labeled data was then used to train the Medical Questions Classifier using a BERT-based architecture.
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