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Add dataset card with Apache-2.0 license

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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ size_categories:
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+ - 100K<n<1M
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - medical
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+ - dialogue
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+ - doctor-patient
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+ - healthcare
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+ - openmed
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+ ---
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+
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+ # MedDialog
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+
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+ A medical dialogue dataset for training models to generate helpful doctor responses to patient queries.
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+
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+ ## Dataset Description
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+
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+ - **Source**: [ruslanmv/ai-medical-chatbot](https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot)
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+ - **License**: Apache-2.0 (inherited from source dataset)
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+ - **Size**: ~252k patient-doctor dialogue pairs
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+ - **Language**: English
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+ - **Splits**: Train (227k) / Validation (25.2k)
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+
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+ ## Dataset Structure
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+
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+ Each example contains:
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+ - **patient_message**: The patient's description of symptoms or medical question
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+ - **doctor_response**: The doctor's response (ground truth)
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+ - **dialogue_context**: Additional context (empty for single-turn dialogues)
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+
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+ ## Source and License
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+
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+ This dataset is derived from [ruslanmv/ai-medical-chatbot](https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot),
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+ which is released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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+
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+ Processing applied:
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+ - Combined Description and Patient fields into patient_message
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+ - Filtered out very short or redirect-only responses
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+ - Truncated messages over 2500 characters
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+ - 90/10 train/validation split with seed 42
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+
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+ ## Usage
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+
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+
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+
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+ ## Intended Use
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+
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+ This dataset is intended for training and evaluating medical dialogue systems in research settings.
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+ It should not be used as a substitute for professional medical advice.
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+
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+ ## Part of OpenMed
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+
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+ This dataset is part of the [OpenMed](https://huggingface.co/OpenMed) collection of medical NLP resources.