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# 数据文件说明

- CDrugRed_train.jsonl: 训练集,包含全部字段,供参赛选手用于开发模型

- CDrugRed_test-A.jsonl: A榜测试集(即开发集),出院带药列表为空,用于A榜评测测试。**注意:A榜测试集答案不公开,不用于模型训练。**
- 候选药物列表.json: 包含数据集全部651种候选药物名
- submit_pred_ex.json: 模型预测结果提交格式样例,仅供格式参考,需提交全部预测结果,评测脚本计算指标成功
  
  A榜和B榜均要求提交对应测试集预测结果的Json文件,文件编码为UTF-8,具体格式如下:
  
  ~~~

  [

  {"ID": "1-1", "prediction": ["药物A", "药物B", ...]},

  {"ID": "1-2", "prediction": ["药物C", "药物D", ...]},

  ...

  ]

  ~~~
  
  字段说明:
  
  - ID:对应就诊标识
  - prediction:预测的药物名称列表(须与附件《候选药物列表》一致)







- 详细信息:Chinese Discharge Drug Recommendation in Metabolic Diseases with Large Language Models [!https://arxiv.org/pdf/2510.21084]


@misc{li2025chinesedischargedrugrecommendation,
      title={Chinese Discharge Drug Recommendation in Metabolic Diseases with Large Language Models}, 
      author={Juntao Li and Haobin Yuan and Ling Luo and Yan Jiang and Fan Wang and Ping Zhang and Huiyi Lv and Jian Wang and Yuanyuan Sun and Hongfei Lin},
      year={2025},
      eprint={2510.21084},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2510.21084}, 
}