{
  "schema_version": "2.0",
  "record_type": "dataset",
  "tier": "verified",
  "slug": "linglan",
  "name": "LingLanMedBench Traditional Chinese Medicine Benchmark Dataset",
  "summary": {
    "en": "License: permissive (CC-BY-4.0); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution Risk flag(s): exam-derived.",
    "zh": "许可证声明：宽松（CC-BY-4.0）；本站处理：只链接原出处。针对数据的声明允许商用和再分发。来源风险标记：exam-derived。"
  },
  "systems": [
    "traditional-medicine"
  ],
  "domains": [
    "tcm",
    "tcm-materia-medica",
    "tcm-formulas",
    "tcm-diagnostics",
    "tcm-classics",
    "tcm-case-records"
  ],
  "content_types": [
    "benchmark-exam",
    "qa-dialogue",
    "annotated-corpus",
    "classical-texts"
  ],
  "content_description": {
    "en": "An expert-curated benchmark for evaluating large language models on Traditional Chinese Medicine knowledge and clinical reasoning across five domains and 13 benchmark tasks.",
    "zh": "面向大语言模型的中医药知识与临床推理专家评测基准，涵盖五个领域和13项基准任务。"
  },
  "languages": [
    "zh"
  ],
  "modalities": [
    "text"
  ],
  "size": {
    "raw": "25,620 Full items; 5,200 Hard items",
    "measures": []
  },
  "publisher": "TCMLLM",
  "year": {
    "value": null,
    "raw": null
  },
  "license": {
    "legacy_status": "pending",
    "spdx": "CC-BY-4.0",
    "commercial_use": "yes",
    "derivatives": "yes",
    "redistribution": "yes",
    "rationale": {
      "en": "first-hand data-scope statement(s) allow commercial use and redistribution",
      "zh": "针对数据的声明允许商用和再分发"
    },
    "evidence": [
      {
        "location": "hf-card-metadata",
        "location_detail": {
          "en": "Statement found in snapshot s01 (readme)",
          "zh": "在快照 s01（readme）中找到的声明"
        },
        "excerpt": "license: cc-by-4.0",
        "spdx": "CC-BY-4.0",
        "url": "https://huggingface.co/datasets/TCMLLM/LingLan",
        "verified_on": "2026-11-12",
        "snapshot_id": "s01",
        "observed": "page",
        "captured_by": "pipeline"
      },
      {
        "location": "readme",
        "location_detail": {
          "en": "Statement found in snapshot s01 (readme)",
          "zh": "在快照 s01（readme）中找到的声明"
        },
        "excerpt": "The LingLanMedBench dataset is released under the [Creative Commons Attribution 4.0 International license](https://creativecommons.org/licenses/by/4.0/).",
        "url": "https://huggingface.co/datasets/TCMLLM/LingLan",
        "verified_on": "2026-11-12",
        "snapshot_id": "s01",
        "observed": "page",
        "captured_by": "pipeline"
      },
      {
        "location": "readme",
        "location_detail": {
          "en": "Statement found in snapshot s01 (readme)",
          "zh": "在快照 s01（readme）中找到的声明"
        },
        "excerpt": "Please credit [LingLanMedBench, its authors, and the data source](https://github.com/TCMAI-BJTU/LingLan), and cite the [paper](https://arxiv.org/abs/2602.01779) when using it. When sharing the data, retain the license link and indicate any changes.",
        "url": "https://huggingface.co/datasets/TCMLLM/LingLan",
        "verified_on": "2026-11-12",
        "snapshot_id": "s01",
        "observed": "page",
        "captured_by": "pipeline"
      },
      {
        "location": "readme",
        "location_detail": {
          "en": "Statement found in snapshot s01 (readme)",
          "zh": "在快照 s01（readme）中找到的声明"
        },
        "excerpt": "See [data/LICENSE](data/LICENSE) for the full terms.",
        "url": "https://huggingface.co/datasets/TCMLLM/LingLan",
        "verified_on": "2026-11-12",
        "snapshot_id": "s01",
        "observed": "page",
        "captured_by": "pipeline"
      },
      {
        "location": "dataset-page",
        "location_detail": {
          "en": "Statement found in snapshot s02 (page)",
          "zh": "在快照 s02（page）中找到的声明"
        },
        "excerpt": "The LingLanMedBench dataset is released under the Creative Commons Attribution 4.0 International license . Please credit LingLanMedBench, its authors, and the data source , and cite the paper when using it. When sharing the data, retain the license link and indicate any changes.",
        "url": "https://huggingface.co/datasets/TCMLLM/LingLan",
        "verified_on": "2026-11-12",
        "snapshot_id": "s02",
        "observed": "page",
        "captured_by": "pipeline"
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    "license_conditions": [
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      "notice-required"
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    "notes": {
      "en": "risk flag(s) exam-derived: never eligible or hosted",
      "zh": "risk flag(s) exam-derived: never eligible or hosted"
    }
  },
  "license_status": "permissive",
  "hosting": "link-only",
  "hosting_reason": {
    "en": "License permissive: first-hand data-scope statement(s) allow commercial use and redistribution. Risk flag(s): exam-derived. Link only.",
    "zh": "许可证宽松：针对数据的声明允许商用和再分发。来源风险标记：exam-derived。只链接原出处。"
  },
  "signoff": null,
  "risk_flags": [
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  "provenance": {
    "source_description": null,
    "upstream": []
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    {
      "en": "Hard is a subset of Full, not an independent train/test partition; the two sets must not be concatenated as independent examples.",
      "zh": "Hard 是 Full 的子集，并非独立的训练/测试划分，不可将两者作为独立样本拼接。"
    }
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  "preflight": {
    "status": "not-run"
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  "access": {
    "mdexa_download": null,
    "external_urls": [
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    "notes": null
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    "text": null,
    "references": [
      "arXiv:2602.01779"
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  "last_verified": "2026-11-14",
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    },
    {
      "facet": "task_format",
      "value": "multi-answer",
      "basis": "inferred",
      "inferred_from": "snapshot-structure",
      "excerpt": "config_name: chinese_patent_medicine_knowledge_multiple_choice",
      "snapshot_id": "s01"
    },
    {
      "facet": "task_format",
      "value": "fill-in-blank",
      "basis": "inferred",
      "inferred_from": "snapshot-structure",
      "excerpt": "config_name: chinese_patent_medicine_knowledge_fill_blank",
      "snapshot_id": "s01"
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    {
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      "value": "open-qa",
      "basis": "inferred",
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      "excerpt": "Diagnostic and therapeutic reasoning supports generating syndrome, treatment, or prescription independently, or all three in one call.",
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    },
    {
      "facet": "task_format",
      "value": "ner",
      "basis": "inferred",
      "inferred_from": "snapshot-structure",
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      "value": "multi-specialty",
      "basis": "inferred",
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      "snapshot_id": "s01"
    },
    {
      "facet": "source_type",
      "value": "expert-written",
      "basis": "author-stated",
      "excerpt": "LingLanMedBench is an expert-curated benchmark for evaluating large language models on Traditional Chinese Medicine knowledge and clinical reasoning across five domains and 13 benchmark tasks.",
      "snapshot_id": "s01"
    },
    {
      "facet": "source_type",
      "value": "classical-text",
      "basis": "inferred",
      "inferred_from": "snapshot-structure",
      "excerpt": "path: \"data/fullset/information_extraction/实体抽取_古籍.jsonl\"",
      "snapshot_id": "s01"
    },
    {
      "facet": "expert_involvement",
      "value": "review-unspecified",
      "basis": "author-stated",
      "excerpt": "LingLanMedBench is an expert-curated benchmark for evaluating large language models on Traditional Chinese Medicine knowledge and clinical reasoning across five domains and 13 benchmark tasks.",
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    {
      "facet": "data_format",
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      "basis": "inferred",
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    {
      "facet": "official_split",
      "value": "full-split",
      "basis": "inferred",
      "inferred_from": "card-content-description",
      "excerpt": "`fullset` and `hardset` are the split names.",
      "snapshot_id": "s01"
    },
    {
      "facet": "benchmark_status",
      "value": "public-leaderboard",
      "basis": "inferred",
      "inferred_from": "card-content-description",
      "excerpt": "<a href=\"https://linglan.top/\"><img src=\"https://img.shields.io/badge/Website-Leaderboard-2F9984?style=plastic\" alt=\"Website: Leaderboard\" height=\"28\" /></a>",
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    {
      "date": "2026-11-13",
      "change": {
        "en": "Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).",
        "zh": "经自动流水线收录并通过全部校验（门禁、逐字引用、判定引擎、两轮独立抽取）。"
      }
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    {
      "date": "2026-11-13",
      "change": {
        "en": "Re-adjudicated under the current rules; all machine checks still pass.",
        "zh": "按当前规则重新判定；机器检查仍全部通过。"
      }
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    {
      "date": "2026-11-13",
      "change": {
        "en": "Re-adjudicated under the current rules; all machine checks still pass.",
        "zh": "按当前规则重新判定；机器检查仍全部通过。"
      }
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    {
      "date": "2026-11-14",
      "change": {
        "en": "Re-adjudicated under the current rules; all machine checks still pass.",
        "zh": "按当前规则重新判定；机器检查仍全部通过。"
      }
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    {
      "date": "2026-11-14",
      "change": {
        "en": "Re-adjudicated under the current rules; all machine checks still pass.",
        "zh": "按当前规则重新判定；机器检查仍全部通过。"
      }
    }
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