{
  "schema_version": "2.0",
  "record_type": "dataset",
  "tier": "verified",
  "slug": "medmcqa",
  "name": "MedMCQA",
  "summary": {
    "en": "License: permissive (Apache-2.0); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution Risk flag(s): exam-derived, scraped.",
    "zh": "许可证声明：宽松（Apache-2.0）；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、scraped。"
  },
  "systems": [
    "modern-medicine"
  ],
  "domains": [
    "clinical-medicine"
  ],
  "content_types": [
    "benchmark-exam",
    "qa-dialogue"
  ],
  "content_description": {
    "en": "Large-scale multiple-choice QA dataset of AIIMS & NEET PG medical entrance exam questions covering 2.4k healthcare topics and 21 medical subjects, with expert explanations for answers.",
    "zh": "面向AIIMS与NEET PG医学入学考试的大规模选择题问答数据集，涵盖2.4千个医疗主题和21个医学学科，并附专家解析。"
  },
  "languages": [
    "en"
  ],
  "modalities": [
    "text"
  ],
  "size": {
    "raw": "more than 194k high-quality AIIMS & NEET PG entrance exam MCQs",
    "measures": []
  },
  "publisher": "openlifescienceai",
  "year": {
    "value": null,
    "raw": null
  },
  "license": {
    "legacy_status": "pending",
    "spdx": "Apache-2.0",
    "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 s97 (api-hf)",
          "zh": "在快照 s97（api-hf）中找到的声明"
        },
        "excerpt": "\"apache-2.0\"",
        "spdx": "Apache-2.0",
        "url": "https://huggingface.co/datasets/openlifescienceai/medmcqa",
        "verified_on": "2026-11-12",
        "snapshot_id": "s97",
        "observed": "page",
        "captured_by": "pipeline"
      },
      {
        "location": "hf-card-metadata",
        "location_detail": {
          "en": "Statement found in snapshot s95 (readme)",
          "zh": "在快照 s95（readme）中找到的声明"
        },
        "excerpt": "license:\n- apache-2.0",
        "spdx": "Apache-2.0",
        "url": "https://huggingface.co/datasets/openlifescienceai/medmcqa",
        "verified_on": "2026-11-12",
        "snapshot_id": "s95",
        "observed": "page",
        "captured_by": "pipeline"
      },
      {
        "location": "dataset-page",
        "location_detail": {
          "en": "Statement found in snapshot s96 (page)",
          "zh": "在快照 s96（page）中找到的声明"
        },
        "excerpt": "License: apache-2.0",
        "spdx": "Apache-2.0",
        "url": "https://huggingface.co/datasets/openlifescienceai/medmcqa",
        "verified_on": "2026-11-12",
        "snapshot_id": "s96",
        "observed": "page",
        "captured_by": "pipeline"
      }
    ],
    "license_conditions": [
      "notice-required"
    ],
    "notes": {
      "en": "risk flag(s) exam-derived,scraped: never eligible or hosted",
      "zh": "risk flag(s) exam-derived,scraped: 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, scraped. 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、scraped。只链接原出处。"
  },
  "signoff": null,
  "risk_flags": [
    "exam-derived",
    "scraped"
  ],
  "provenance": {
    "source_description": null,
    "upstream": []
  },
  "known_issues": [
    {
      "en": "The card's limitations, biases, and personal/sensitive-information sections are all placeholders marked \"[Needs More Information]\".",
      "zh": "数据集卡片的局限性、偏倚与个人敏感信息部分均标注为“【Needs More Information】”占位内容。"
    }
  ],
  "preflight": {
    "status": "not-run"
  },
  "access": {
    "mdexa_download": null,
    "external_urls": [
      "https://huggingface.co/datasets/openlifescienceai/medmcqa"
    ],
    "notes": null
  },
  "citation": {
    "text": null,
    "references": []
  },
  "verification_level": "verified",
  "last_verified": "2026-11-14",
  "tags": [
    {
      "facet": "task_format",
      "value": "choice-question",
      "basis": "author-stated",
      "excerpt": "MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.",
      "snapshot_id": "s95"
    },
    {
      "facet": "intended_use",
      "value": "fine-tuning",
      "basis": "author-stated",
      "excerpt": "The dataset can be used to train a model for multi-choice questions answering, open domain questions answering.",
      "snapshot_id": "s95"
    },
    {
      "facet": "intended_use",
      "value": "evaluation",
      "basis": "author-stated",
      "excerpt": "The development set consists of NEET PG exam MCQs (years 2001-present) to approximate real exam evaluation.",
      "snapshot_id": "s95"
    },
    {
      "facet": "specialty",
      "value": "multi-specialty",
      "basis": "author-stated",
      "excerpt": "covering 2.4k healthcare topics and 21 medical subjects",
      "snapshot_id": "s95"
    },
    {
      "facet": "source_type",
      "value": "official-publication",
      "basis": "author-stated",
      "excerpt": "Historical Exam questions from official websites - AIIMS & NEET PG (1991- present)",
      "snapshot_id": "s95"
    },
    {
      "facet": "annotation_depth",
      "value": "with-explanation",
      "basis": "author-stated",
      "excerpt": "- `exp` : Expert's explanation of the answer",
      "snapshot_id": "s95"
    },
    {
      "facet": "official_split",
      "value": "full-split",
      "basis": "author-stated",
      "excerpt": "To enable that, a predefined split of the dataset is provided.",
      "snapshot_id": "s95"
    },
    {
      "facet": "benchmark_status",
      "value": "public-leaderboard",
      "basis": "author-stated",
      "excerpt": "- **Leaderboard:** https://paperswithcode.com/dataset/medmcqa",
      "snapshot_id": "s95"
    }
  ],
  "changelog": [
    {
      "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）。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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。"
      }
    },
    {
      "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": "openlifescienceai/medmcqa",
    "source": {
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      "fetched_on": "2026-11-14"
    },
    "access_state": "open",
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    "files_truncated": false,
    "commands": [
      {
        "command": "hf download openlifescienceai/medmcqa --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",
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    },
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      "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/)；医学考试题库 JSON 数据集 (https://mdexa.com/zh/datasets/medical-exam-question-bank-json/)；PubMedQA (https://mdexa.com/zh/datasets/pubmedqa/)。",
    "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": "医学考试题库 JSON 数据集",
        "url": "https://mdexa.com/zh/datasets/medical-exam-question-bank-json/",
        "json": "https://mdexa.com/zh/datasets/medical-exam-question-bank-json.json"
      },
      {
        "name": "PubMedQA",
        "url": "https://mdexa.com/zh/datasets/pubmedqa/",
        "json": "https://mdexa.com/zh/datasets/pubmedqa.json"
      }
    ]
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}