{
  "schema_version": "2.0",
  "record_type": "dataset",
  "tier": "verified",
  "slug": "tcm-text-exams",
  "name": "TCM-Text-Exams（ShizhenGPT 文本评测）",
  "summary": {
    "zh": "许可证声明：宽松（Apache-2.0）；本站处理：只链接原出处。许可证宽松，但有来源风险：题目来自有版权的考试；只链接原出处。",
    "en": "License: permissive (Apache-2.0); Mdexa hosting: link-only. License is permissive, but source risk: questions come from copyrighted exams; link only."
  },
  "systems": [
    "traditional-medicine"
  ],
  "domains": [
    "tcm"
  ],
  "content_types": [
    "benchmark-exam"
  ],
  "content_description": {
    "en": "Question bank and benchmark",
    "zh": "题库与评测集"
  },
  "languages": [
    "zh"
  ],
  "modalities": [
    "text"
  ],
  "size": {
    "raw": "1,088题，5个部分（2024年药师、医师、助理医师，2024与2025年研究生入学考试）",
    "measures": [
      {
        "value": 1088,
        "unit": "questions",
        "qualifier": "exact",
        "scope": "5 parts"
      }
    ]
  },
  "publisher": "FreedomIntelligence（arXiv 2508.14706）",
  "year": {
    "value": 2025,
    "raw": "2025"
  },
  "expert_review": {
    "en": "Not stated",
    "zh": "未说明"
  },
  "license": {
    "legacy_status": "distributable",
    "spdx": "Apache-2.0",
    "commercial_use": "yes",
    "derivatives": "yes",
    "redistribution": "yes",
    "rationale": {
      "en": "Dataset card states Apache-2.0",
      "zh": "数据集卡为 Apache-2.0"
    },
    "evidence": [
      {
        "location": "hf-card-metadata",
        "location_detail": {
          "en": "Hugging Face dataset card: Apache-2.0",
          "zh": "Hugging Face 数据集卡：Apache-2.0"
        },
        "excerpt": "license: apache-2.0",
        "spdx": "Apache-2.0",
        "url": "https://huggingface.co/datasets/FreedomIntelligence/TCM-Text-Exams",
        "verified_on": "2026-11-12",
        "snapshot_id": "s01",
        "observed": "page",
        "secondhand": false
      }
    ]
  },
  "license_status": "permissive",
  "hosting": "link-only",
  "hosting_reason": {
    "zh": "许可证宽松，但有来源风险：题目来自有版权的考试；只链接原出处。",
    "en": "License is permissive, but source risk: questions come from copyrighted exams; link only."
  },
  "signoff": null,
  "risk_flags": [
    "exam-derived"
  ],
  "provenance": {
    "source_description": {
      "en": "National-level TCM exams",
      "zh": "国家级中医考试"
    },
    "upstream": []
  },
  "known_issues": [
    {
      "en": "Sources are 2024 and 2025 national exam questions. Sources include national medical licensing exam questions; in August 2026 the National Medical Examination Center issued a statement asserting copyright over past exam questions, so there is a source copyright risk",
      "zh": "来源为2024、2025年国家级考试真题，来源含国家医学考试题，国家医学考试中心2026年8月声明主张历年试题著作权，存在来源版权风险"
    }
  ],
  "preflight": {
    "status": "not-run"
  },
  "access": {
    "mdexa_download": null,
    "external_urls": [
      "https://huggingface.co/datasets/FreedomIntelligence/TCM-Text-Exams"
    ],
    "notes": null
  },
  "citation": {
    "text": null,
    "bibtex": null,
    "references": [
      "arXiv:2508.14706"
    ]
  },
  "verification_level": "verified",
  "last_verified": "2026-11-12",
  "tags": [
    {
      "facet": "intended_use",
      "value": "evaluation",
      "basis": "author-stated",
      "excerpt": "This is the text benchmark for [ShizhenGPT](https://github.com/FreedomIntelligence/ShizhenGPT), a multimodal LLM for **Traditional Chinese Medicine (TCM)**.",
      "snapshot_id": "s01"
    },
    {
      "facet": "specialty",
      "value": "multi-specialty",
      "basis": "inferred",
      "inferred_from": "card-content-description",
      "note": {
        "zh": "中医考试题，未限定专科",
        "en": "中医考试题; not limited to a specialty"
      }
    }
  ],
  "changelog": [
    {
      "date": "2026-11-12",
      "change": {
        "en": "Card converted from an earlier manual catalog; no new facts added; reclassified under taxonomy v2.",
        "zh": "由早期人工整理的目录转换生成，未新增事实；按分类体系 v2 重新归类。"
      }
    },
    {
      "date": "2026-11-12",
      "change": {
        "en": "License status split into license_status (what the license says) and hosting (what Mdexa does); the earlier conclusion is kept for traceability.",
        "zh": "把许可证状态拆成 license_status（许可证怎么写）与 hosting（本站怎么处理）；原结论保留以便追溯。"
      }
    },
    {
      "date": "2026-11-12",
      "change": {
        "en": "Added verbatim license excerpts and snapshot ids from captured page snapshots; no conclusion changed.",
        "zh": "补入来自已抓取页面快照的许可证逐字摘录与快照编号；未改动任何结论。"
      }
    },
    {
      "date": "2026-11-13",
      "change": {
        "en": "Added dataset-level tags: 2 (1 stated by the authors with excerpts, 1 inferred from the content). No conclusion changed.",
        "zh": "新增数据集标签 2 个（作者声明 1 个，附逐字摘录；据内容推断 1 个）；未改动任何结论。"
      }
    },
    {
      "date": "2026-11-13",
      "change": {
        "en": "Removed the stored size-tier tag; the tier is now computed from the size field when pages are built.",
        "zh": "移除存储的规模档位标签；档位改为生成页面时由 size 字段计算。"
      }
    },
    {
      "date": "2026-11-13",
      "change": {
        "en": "Added specialty tags: multi-specialty(inferred).",
        "zh": "新增专科标签：multi-specialty(inferred)。"
      }
    }
  ],
  "access_recipe": {
    "verified_on": "2026-11-14",
    "platform": "huggingface",
    "repo_id": "FreedomIntelligence/TCM-Text-Exams",
    "source": {
      "api_url": "https://huggingface.co/api/datasets/FreedomIntelligence/TCM-Text-Exams",
      "fetched_on": "2026-11-14"
    },
    "access_state": "open",
    "files": [
      {
        "name": ".gitattributes",
        "url": "https://huggingface.co/datasets/FreedomIntelligence/TCM-Text-Exams/resolve/fb0a6e45f97cefa6e0d60b747e60a582c23d8927/.gitattributes",
        "size_bytes": 2461,
        "checksum": null,
        "format": "gitattributes"
      },
      {
        "name": "README.md",
        "url": "https://huggingface.co/datasets/FreedomIntelligence/TCM-Text-Exams/resolve/fb0a6e45f97cefa6e0d60b747e60a582c23d8927/README.md",
        "size_bytes": 1711,
        "checksum": null,
        "format": "md"
      },
      {
        "name": "TCM-Text-Exams.json",
        "url": "https://huggingface.co/datasets/FreedomIntelligence/TCM-Text-Exams/resolve/fb0a6e45f97cefa6e0d60b747e60a582c23d8927/TCM-Text-Exams.json",
        "size_bytes": 530291,
        "checksum": null,
        "format": "json"
      }
    ],
    "files_truncated": false,
    "commands": [
      {
        "command": "hf download FreedomIntelligence/TCM-Text-Exams --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": "fb0a6e45f97cefa6e0d60b747e60a582c23d8927",
      "last_modified": "2025-08-25T06:35:56.000Z"
    },
    "license_note": {
      "license_status": "permissive",
      "text": "Use according to the terms of the official source; this recipe does not say the data can be used freely."
    },
    "gaps": [
      "the platform publishes no checksum for these files; none was computed (we do not download data files)"
    ]
  },
  "_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：HWTCM（Haiwei 中医评测集） (https://mdexa.com/zh/datasets/hwtcm/)；LingLanMedBench Traditional Chinese Medicine Benchmark Dataset (https://mdexa.com/zh/datasets/linglan/)；MLEC-QA (https://mdexa.com/zh/datasets/mlec-qa/)。",
    "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": "HWTCM（Haiwei 中医评测集）",
        "url": "https://mdexa.com/zh/datasets/hwtcm/",
        "json": "https://mdexa.com/zh/datasets/hwtcm.json"
      },
      {
        "name": "LingLanMedBench Traditional Chinese Medicine Benchmark Dataset",
        "url": "https://mdexa.com/zh/datasets/linglan/",
        "json": "https://mdexa.com/zh/datasets/linglan.json"
      },
      {
        "name": "MLEC-QA",
        "url": "https://mdexa.com/zh/datasets/mlec-qa/",
        "json": "https://mdexa.com/zh/datasets/mlec-qa.json"
      }
    ]
  }
}