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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - zh
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+ tags:
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+ - medical
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+ ---
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+ # MedArk-KI-{}k
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+ This is an integrated large-scale, high-quality SFT dataset combining both traditional Chinese and Western medicine, designed for medical knowledge injection into LLMs.
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+
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+ It consists of 4 subsets as shown the tabel:
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+
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+ | Name | Volume | Author | Reviewer | Type | Source |
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+ |------|--------|---------|-------------|------|--------------|
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+ | DX | 100k | Doctor | Doctor | WM | Web |
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+ | HT | 10k | ChatGPT | ERNIE-Speed | WM | Books, Encyclopedia, Web|
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+ | TCM | 10k |ERNIE 4.0| ERNIE-Speed | TCM | Books, KG |
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+ | MB | 10k |ERNIE-Speed|ERNIE-Speed| WM | Books |
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+
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+ # 1.DX-xxK
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+
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+ A total of {} high-quality Q&A pairs were collected from the DingXiang website, 丁香医生 (https://dxy.com/diseases), and underwent rigorous data cleaning.
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+ Each answer was authored by a doctor and reviewed by another doctor, ensuring that all information is accurate and reliable.
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+ These Q&A pairs encompass 8 key areas of medical knowledge across {} diseases in {} departments: disease introduction, symptoms, causes, diagnosis, treatment, lifestyle, prevention, and consultation guidance.
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+
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+ # 2.HT-xxk