Datasets:
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README.md
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# ZhongJing-OMNI: The First Multimodal Benchmark for Evaluating Traditional Chinese Medicine
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**ZhongJing-OMNI** is the first multimodal benchmark dataset designed to evaluate Traditional Chinese Medicine (TCM) knowledge in large language models. This dataset provides a diverse array of questions and multimodal data, combining visual and textual information to assess the model’s ability to reason through complex TCM diagnostic and therapeutic scenarios. The unique combination of TCM textual knowledge with multimodal tongue diagnosis data sets a new standard for AI research in TCM.
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journal = {GitHub repository},
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url = {https://github.com/yourusername/ZhongJing-OMNI}
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}
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---
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license: mit
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task_categories:
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- question-answering
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- text-generation
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tags:
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- medical
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---
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# ZhongJing-OMNI: The First Multimodal Benchmark for Evaluating Traditional Chinese Medicine
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**ZhongJing-OMNI** is the first multimodal benchmark dataset designed to evaluate Traditional Chinese Medicine (TCM) knowledge in large language models. This dataset provides a diverse array of questions and multimodal data, combining visual and textual information to assess the model’s ability to reason through complex TCM diagnostic and therapeutic scenarios. The unique combination of TCM textual knowledge with multimodal tongue diagnosis data sets a new standard for AI research in TCM.
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journal = {GitHub repository},
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url = {https://github.com/yourusername/ZhongJing-OMNI}
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}
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```
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