A Standard Reference Dataset for Respiratory Symptom Research Based on Outpatient Chief Complaints (RCC-22K)

This dataset comprises 22,000 real-world outpatient chief complaints collected from 296 medical institutions, each accompanied by detailed respiratory symptom annotations. Data labeling was conducted through a rigorous dual-independent adjudication process by medically trained experts, resulting in 20 manually curated categories of respiratory symptoms.All records have undergone comprehensive de-identification to ensure patient privacy and comply with ethical standards. The dataset has been approved by all contributing authors for full public access alongside this publication.Serving as a standard reference resource for future studies, this dataset supports methodological benchmarking in symptom recognition, early warning model evaluation, and respiratory disease surveillance. It enhances comparability, reproducibility, and citation potential within the field of clinical informatics and public health research.本数据集包含从296家医疗机构采集的22000条真实门诊主诉，每条主诉均附带详细的呼吸道症状标注。数据标注由医学专家通过严格的双独立审核流程完成，最终生成20个人工审定的呼吸道症状类别。所有数据记录均已完成全面的去标识化处理，以保障患者隐私并符合伦理规范。本数据集已获所有贡献作者批准，可随本研究成果开放完整的公共访问权限。作为面向未来研究的标准参考资源，本数据集可支撑症状识别、早期预警模型评估及呼吸道疾病监测领域的方法学基准测试。该数据集可提升临床信息学与公共卫生研究领域内的研究可比性、可重复性及引用潜力。