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Download L5/README.md from pengkaiScience/NPCBench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/pengkaiScience/NPCBench/resolve/main/L5/README.md
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hf download hf://datasets/pengkaiScience/NPCBench/L5/README.md
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curl -L -o README.md https://huggingface.co/datasets/pengkaiScience/NPCBench/resolve/main/L5/README.md
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L5: longitudinal decisions
305 turns from 100 patients. Use the complete prompt as the model input. The answer, clinical explanation and decisive-condition fields are reference annotations, not input. Each prompt already contains its options.
全程D0 denotes the patient's first admission; 全程Dk denotes the day relative to that admission. Dates are transformed within each patient without changing resolved intervals. 某年某月 retains the imprecise timing present in the source.
Score turn accuracy and the fraction of patients with every evaluated turn correct. Auxiliary history conditions have their own inputs and should be evaluated as separate paired conditions.