{
  "schema_version": "2.0",
  "record_type": "dataset",
  "tier": "verified",
  "slug": "diagnosisarena",
  "name": "DiagnosisArena",
  "summary": {
    "en": "License: restricted (NOASSERTION); Mdexa hosting: link-only. restrictions are read broadly: forbids commercial use Risk flag(s): real-patient-text.",
    "zh": "许可证声明：受限（NOASSERTION）；本站处理：只链接原出处。限制从宽认定。来源风险标记：real-patient-text。"
  },
  "systems": [
    "modern-medicine"
  ],
  "domains": [
    "clinical-medicine"
  ],
  "content_types": [
    "benchmark-exam",
    "clinical-cases"
  ],
  "content_description": {
    "en": "A medical benchmark of 915 segmented patient case and diagnosis pairs spanning 28 specialties, derived from clinical case reports in 10 high-impact medical journals.",
    "zh": "一个医学基准，包含915对分段的患者病例及对应诊断，覆盖28个专科，源自10种高影响力医学期刊的临床病例报告。"
  },
  "languages": [
    "en"
  ],
  "modalities": [
    "text"
  ],
  "size": {
    "raw": "915 pairs",
    "measures": []
  },
  "publisher": "SII-SPIRAL-MED",
  "year": {
    "value": 2025,
    "raw": "2025"
  },
  "license": {
    "legacy_status": "pending",
    "spdx": "NOASSERTION",
    "commercial_use": "no",
    "derivatives": "unstated",
    "redistribution": "unstated",
    "rationale": {
      "en": "restrictions are read broadly: forbids commercial use",
      "zh": "限制从宽认定"
    },
    "evidence": [
      {
        "location": "readme",
        "location_detail": {
          "en": "Statement found in snapshot s01 (readme)",
          "zh": "在快照 s01（readme）中找到的声明"
        },
        "excerpt": "This dataset is provided for research and model evaluation purposes only. It must not be used for clinical decision-making or medical diagnosis.",
        "url": "https://huggingface.co/datasets/SII-SPIRAL-MED/DiagnosisArena",
        "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": "Disclaimer and Terms of Use",
        "url": "https://huggingface.co/datasets/SII-SPIRAL-MED/DiagnosisArena",
        "verified_on": "2026-11-12",
        "snapshot_id": "s02",
        "observed": "page",
        "captured_by": "pipeline"
      }
    ]
  },
  "license_status": "restricted",
  "hosting": "link-only",
  "hosting_reason": {
    "en": "License restricted: restrictions are read broadly: forbids commercial use. Risk flag(s): real-patient-text. Link only.",
    "zh": "许可证受限：限制从宽认定。来源风险标记：real-patient-text。只链接原出处。"
  },
  "signoff": null,
  "risk_flags": [
    "real-patient-text"
  ],
  "provenance": {
    "source_description": null,
    "upstream": []
  },
  "known_issues": [],
  "usage_notes": [
    {
      "kind": "disclaimer",
      "excerpt": "It must not be used for clinical decision-making or medical diagnosis.",
      "url": "https://huggingface.co/datasets/SII-SPIRAL-MED/DiagnosisArena",
      "snapshot_id": "s01"
    }
  ],
  "preflight": {
    "status": "not-run"
  },
  "access": {
    "mdexa_download": null,
    "external_urls": [
      "https://huggingface.co/datasets/SII-SPIRAL-MED/DiagnosisArena"
    ],
    "notes": null
  },
  "citation": {
    "text": null,
    "references": [
      "arXiv:2505.14107"
    ]
  },
  "verification_level": "verified",
  "last_verified": "2026-11-14",
  "tags": [
    {
      "facet": "task_format",
      "value": "choice-question",
      "basis": "inferred",
      "inferred_from": "snapshot-structure",
      "excerpt": "  - name: Options\n    struct:\n    - name: A\n      dtype: string\n    - name: B\n      dtype: string\n    - name: C\n      dtype: string\n    - name: D\n      dtype: string",
      "snapshot_id": "s01"
    },
    {
      "facet": "intended_use",
      "value": "evaluation",
      "basis": "author-stated",
      "excerpt": "designed to assess the diagnostic reasoning abilities of LLMs in clinical settings.",
      "snapshot_id": "s01"
    },
    {
      "facet": "specialty",
      "value": "multi-specialty",
      "basis": "author-stated",
      "excerpt": "spanning 28 medical specialties",
      "snapshot_id": "s01"
    },
    {
      "facet": "source_type",
      "value": "literature",
      "basis": "author-stated",
      "excerpt": "deriving from clinical case reports published in 10 high-impact medical journals",
      "snapshot_id": "s01"
    },
    {
      "facet": "official_split",
      "value": "eval-only",
      "basis": "inferred",
      "inferred_from": "snapshot-structure",
      "excerpt": "  - name: test\n    num_bytes: 1562755\n    num_examples: 915",
      "snapshot_id": "s01"
    }
  ],
  "changelog": [
    {
      "date": "2026-11-14",
      "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）。"
      }
    },
    {
      "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。"
      }
    }
  ],
  "access_recipe": {
    "verified_on": "2026-11-14",
    "platform": "huggingface",
    "repo_id": "SII-SPIRAL-MED/DiagnosisArena",
    "source": {
      "api_url": "https://huggingface.co/api/datasets/SII-SPIRAL-MED/DiagnosisArena",
      "fetched_on": "2026-11-14"
    },
    "access_state": "open",
    "files": [
      {
        "name": ".gitattributes",
        "url": "https://huggingface.co/datasets/SII-SPIRAL-MED/DiagnosisArena/resolve/64bb873fe651e1c71cd8b0958104dd911f042872/.gitattributes",
        "size_bytes": 2461,
        "checksum": null,
        "format": "gitattributes"
      },
      {
        "name": "README.md",
        "url": "https://huggingface.co/datasets/SII-SPIRAL-MED/DiagnosisArena/resolve/64bb873fe651e1c71cd8b0958104dd911f042872/README.md",
        "size_bytes": 2276,
        "checksum": null,
        "format": "md"
      },
      {
        "name": "data/test-00000-of-00001.parquet",
        "url": "https://huggingface.co/datasets/SII-SPIRAL-MED/DiagnosisArena/resolve/64bb873fe651e1c71cd8b0958104dd911f042872/data/test-00000-of-00001.parquet",
        "size_bytes": 870485,
        "checksum": {
          "algorithm": "sha256",
          "value": "de980033fa681d9cb5bf4138f04dea204c1326d18017a752a137458195c36520"
        },
        "format": "parquet"
      }
    ],
    "files_truncated": false,
    "commands": [
      {
        "command": "hf download SII-SPIRAL-MED/DiagnosisArena --repo-type dataset",
        "evidence": {
          "excerpt": "You can use the hf download command from the terminal to directly download files from the Hub.",
          "doc": "hf-download",
          "url": "https://huggingface.co/docs/huggingface_hub/guides/download",
          "fetched_on": "2026-11-14"
        }
      }
    ],
    "registration": null,
    "version": {
      "commit": "64bb873fe651e1c71cd8b0958104dd911f042872",
      "last_modified": "2025-09-28T10:02:45.000Z"
    },
    "license_note": {
      "license_status": "restricted",
      "text": "Use according to the terms of the official source; this recipe does not say the data can be used freely."
    },
    "gaps": []
  },
  "_links": {
    "text": "在本库继续查找。本条目是 109 条已处理并核实的记录之一（数据集、数据资源与开源模型）。查找其他条目：调用 `https://mcp.mdexa.com/v1/datasets?q=<关键词>`，或连接 MCP 服务 `https://mcp.mdexa.com/mcp`；每分钟 20 次以内无需密钥。每行返回不到 1 KB；空结果即\"数据库未收录\"。核对一份清单：一次批量核对（免费账号）即返回报告。说明：/agents.md。相似条目：CMB (Chinese Medical Benchmark) (https://mdexa.com/zh/datasets/cmb/)；MedMCQA (https://mdexa.com/zh/datasets/medmcqa/)；CMExam (https://mdexa.com/zh/datasets/cmexam/)。",
    "records": 109,
    "search": {
      "template": "https://mcp.mdexa.com/v1/datasets?q={words}",
      "example": "https://mcp.mdexa.com/v1/datasets?q=%E7%BB%93%E5%90%88%E4%BA%B2%E5%92%8C%E5%8A%9B"
    },
    "mcp": "https://mcp.mdexa.com/mcp",
    "anonymous_calls_per_minute": 20,
    "guide": "https://mdexa.com/zh/agents.md",
    "faq": "https://mdexa.com/zh/developers/faq/",
    "similar": [
      {
        "name": "CMB (Chinese Medical Benchmark)",
        "url": "https://mdexa.com/zh/datasets/cmb/",
        "json": "https://mdexa.com/zh/datasets/cmb.json"
      },
      {
        "name": "MedMCQA",
        "url": "https://mdexa.com/zh/datasets/medmcqa/",
        "json": "https://mdexa.com/zh/datasets/medmcqa.json"
      },
      {
        "name": "CMExam",
        "url": "https://mdexa.com/zh/datasets/cmexam/",
        "json": "https://mdexa.com/zh/datasets/cmexam.json"
      }
    ]
  }
}