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LICENSE

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+ClinConsensus dataset license
+
+The ClinConsensus data files in this repository (the data/ directory and any
+distributed JSONL/data packages) are licensed under the Creative Commons
+Attribution 4.0 International License (CC BY 4.0).
+
+You are free to share and adapt the data for any purpose, including
+commercially, provided you give appropriate credit, provide a link to the
+license, and indicate if changes were made.
+
+License summary:    https://creativecommons.org/licenses/by/4.0/
+License legal code: https://creativecommons.org/licenses/by/4.0/legalcode
+
+Attribution: please cite the ClinConsensus paper (see CITATION.cff).
+
+The evaluation and validation code in this repository (the scripts/ directory)
+is licensed separately under the MIT License; see the LICENSE file.

MANIFEST_SHA256.txt

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+c432e2b70b5671a4c69d1d6f0b736f0e85af49373370728508e01915f58b7f7a  LICENSE
+e8ef71378e38db5b976a1295b80ed304ff0ba9385189c744a3ba3e4963c29d4c  README.md
+56123ae33e50eb867ec7f49b9128e2cb9e67b79fa995dd2b38d30ae57d0ca904  data/clinconsensus_low.jsonl
+8d8a6e2bd4ac25dad34d2adc82dda5eeca3410b06db35178d2a729b81d0f04e7  label_taxonomy.json
+468d19b6e9021227efe2e7e346b25e78d67eb01f61dd67ab35b201e56f973d5d  schema.json
+48c52a57c570d15356ea21af7a10516d2e09a0ef096cd54acee24e5dfa029349  summary.json
+2b568bdfe277ace30aadd35cfb67556453bc86ea4f14adfcb93a6f962a721b1f  validation_report.json

README.md

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 ---
+pretty_name: ClinConsensus
+language:
+  - zh
 license: cc-by-4.0
+task_categories:
+  - text-generation
+tags:
+  - medical
+  - benchmark
+  - rubric-evaluation
+  - chinese
+size_categories:
+  - n<1K
+configs:
+  - config_name: default
+    data_files:
+      - split: test
+        path: data/clinconsensus_low.jsonl
 ---
+
+# ClinConsensus public dataset
+
+This public release contains the complete **900-case low-difficulty tier** of
+ClinConsensus. Each de-identified Chinese clinical prompt has metadata and 30
+case-specific binary rubric criteria, for **27,000 rubric criteria** in total.
+
+The public file intentionally excludes reference answers, raw workbooks,
+source-row mappings, physician identifiers, QC notes, model responses, and
+judge transcripts. The complete 2,500-case benchmark is not part of this
+archive and is available from the corresponding authors under a separate DUA.
+
+## Files
+
+- `data/clinconsensus_low.jsonl`: 900 public evaluation cases.
+- `schema.json`: field contract.
+- `summary.json`: release counts.
+- `label_taxonomy.json`: public-tier label vocabulary and counts.
+- `validation_report.json`: structural and contact-pattern validation result.
+- `MANIFEST_SHA256.txt`: checksums for the release files.
+
+## Record format
+
+Each JSONL row contains:
+
+- `case_id`, `difficulty`;
+- `task`, `task_labels`, `subject`, `subject_labels`, `user_role`;
+- `clinical_context`, `user_request`;
+- `rubrics`: exactly 30 objects with `criterion_id`, `criterion`, and `points`.
+
+The public package has no `reference_answer` field. Use the prompt and rubrics
+with a rubric-level grader, then compute Rubric Accuracy, Pass@10, and CACS@10
+with the companion code repository.
+
+## Intended use and limitations
+
+ClinConsensus is a research benchmark, not a clinical decision-support tool or
+deployment certification. Cases are de-identified and curated for evaluation;
+model outputs may still contain unsafe or incomplete medical content. Do not
+use benchmark results as patient-specific medical advice.
+
+## License and citation
+
+The public dataset is released under CC BY 4.0; see `LICENSE`. Please cite:
+
+```bibtex
+@inproceedings{zheng2026clinconsensus,
+  title={ClinConsensus: A Physician-Calibrated Benchmark for Evaluating Clinical Rubric Coverage in Chinese Medical LLMs},
+  author={Zheng, Xiang and Li, Han and Luo, Wenjie and Zhai, Weiqi and Li, Yiyuan and Yan, Chuanmiao and Yang, Xue and Wu, Kailuan and Xu, Ruyi and Lu, Tianyun and Tang, Tianyi and Ma, Yubo and Yang, Kexin and Yang, Sen and Liu, Dayiheng and Qu, Lin and Zhao, Bing and Wei, Hu},
+  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2026},
+  year={2026}
+}
+```

label_taxonomy.json

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+{
+  "task_labels": {
+    "判断疾病-因果逻辑推理": 175,
+    "判断疾病-鉴别诊断": 342,
+    "医疗随访-病情跟踪": 234,
+    "日常询问-常见疾病科普": 274,
+    "日常询问-检查指标解释": 134,
+    "日常询问-用药注意事项": 63,
+    "治疗用药-个性化方案生成": 290,
+    "治疗用药-循证医学检索【循证证据】": 75,
+    "理解病情-临床文档摘要生成": 127,
+    "理解病情-医学信息抽取（IE）": 163,
+    "理解病情-医学命名实体识别（NER）": 28,
+    "理解病情-病历内容理解": 157
+  },
+  "subject_labels": {
+    "产科学": 24,
+    "传染病学": 30,
+    "儿科学": 60,
+    "内分泌学": 99,
+    "医学美学与美容学": 6,
+    "口腔和颌面医学": 28,
+    "呼吸病学": 68,
+    "器官移植学": 8,
+    "外科学": 86,
+    "妇科学": 45,
+    "康复医学": 65,
+    "心血管病学": 117,
+    "急诊医学": 64,
+    "性病学": 6,
+    "整形外科学": 8,
+    "泌尿医学": 25,
+    "消化病学": 68,
+    "热带病学": 12,
+    "生殖医学": 9,
+    "疼痛管理": 17,
+    "皮肤学": 84,
+    "眼科学": 34,
+    "神经病学": 70,
+    "精神病学": 29,
+    "罕见病学": 17,
+    "老年医学": 65,
+    "耳鼻喉学": 52,
+    "肝病学": 16,
+    "肿瘤学": 55,
+    "血液学": 28,
+    "运动医学": 27,
+    "遗传学": 14,
+    "重症医学": 31,
+    "风湿病学": 33,
+    "骨科学": 89,
+    "麻醉学": 17
+  }
+}

schema.json

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+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "title": "ClinConsensus public case",
+  "type": "object",
+  "additionalProperties": false,
+  "required": [
+    "case_id", "difficulty", "task", "task_labels", "subject",
+    "subject_labels", "user_role", "clinical_context", "user_request",
+    "rubrics"
+  ],
+  "properties": {
+    "case_id": {"type": "string", "pattern": "^CC-[0-9]{4}$"},
+    "difficulty": {"const": "low"},
+    "task": {"type": "string"},
+    "task_labels": {"type": "array", "items": {"type": "string"}, "minItems": 1},
+    "subject": {"type": "string"},
+    "subject_labels": {"type": "array", "items": {"type": "string"}, "minItems": 1},
+    "user_role": {"type": "string"},
+    "clinical_context": {"type": "string"},
+    "user_request": {"type": "string"},
+    "rubrics": {
+      "type": "array",
+      "minItems": 30,
+      "maxItems": 30,
+      "items": {
+        "type": "object",
+        "required": ["criterion_id", "criterion", "points"],
+        "properties": {
+          "criterion_id": {"type": "integer", "minimum": 1, "maximum": 30},
+          "criterion": {"type": "string"},
+          "points": {"type": "number"}
+        }
+      }
+    }
+  }
+}

summary.json

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+{
+  "release": "ClinConsensus public low tier v1.0",
+  "cases": 900,
+  "rubrics": 27000,
+  "difficulty_counts": {
+    "low": 900
+  },
+  "distinct_task_labels": 12,
+  "distinct_subject_labels": 36,
+  "reference_answers_included": false
+}

validation_report.json

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+{
+  "file": "clinconsensus_low.jsonl",
+  "sha256": "56123ae33e50eb867ec7f49b9128e2cb9e67b79fa995dd2b38d30ae57d0ca904",
+  "records": 900,
+  "unique_case_ids": 900,
+  "duplicate_case_ids": 0,
+  "difficulty_counts": {"low": 900},
+  "total_rubrics": 27000,
+  "rubric_length_counts": {"30": 900},
+  "distinct_task_labels": 12,
+  "distinct_subject_labels": 36,
+  "missing_required_fields": [],
+  "forbidden_field_keys": [],
+  "contact_like_matches_for_manual_review": {},
+  "status": "passed"
+}