{
  "schema_version": "2.0",
  "record_type": "dataset",
  "tier": "verified",
  "slug": "chinese-herbal-medicine-sentiment",
  "name": "Chinese Herbal Medicine Sentiment Analysis Dataset",
  "summary": {
    "en": "License: permissive (MIT); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution Risk flag(s): scraped.",
    "zh": "许可证声明：宽松（MIT）；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：scraped。"
  },
  "systems": [
    "traditional-medicine"
  ],
  "domains": [
    "tcm"
  ],
  "content_types": [
    "annotated-corpus"
  ],
  "content_description": {
    "en": "Chinese herbal medicine product review dataset from Chinese e-commerce platforms (2010-2024): 234,879 reviews labeled positive, neutral or negative based on platform original classification.",
    "zh": "中药产品评论情感分析数据集，来自中国电商平台（2010-2024年），共234,879条评论，按平台原始分类标注为正面、中性、负面。"
  },
  "languages": [
    "zh"
  ],
  "modalities": [
    "text",
    "tabular"
  ],
  "size": {
    "raw": "234,879",
    "measures": []
  },
  "publisher": "OpenModels",
  "year": {
    "value": 2024,
    "raw": "2024"
  },
  "license": {
    "legacy_status": "pending",
    "spdx": "MIT",
    "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: mit",
        "spdx": "MIT",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "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": "- **许可证 / License**: MIT",
        "spdx": "MIT",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "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": "许可证 / License : MIT",
        "spdx": "MIT",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "verified_on": "2026-11-12",
        "snapshot_id": "s02",
        "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": "- **商业用途 / Commercial Use**: 遵循 MIT 许可证条款 / Follow MIT license terms",
        "spdx": "MIT",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "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": "- **数据再分发 / Data Redistribution**: 允许在保持归属的情况下再分发 / Allowed with proper attribution",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "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": "- **学术研究 / Academic Research**: 鼓励用于学术研究和教育 / Encouraged for academic research and education",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "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": "商业用途 / Commercial Use : 遵循 MIT 许可证条款 / Follow MIT license terms",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "verified_on": "2026-11-12",
        "snapshot_id": "s02",
        "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": "学术研究 / Academic Research : 鼓励用于学术研究和教育 / Encouraged for academic research and education",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
        "verified_on": "2026-11-12",
        "snapshot_id": "s02",
        "observed": "page",
        "captured_by": "pipeline"
      }
    ],
    "license_conditions": [
      "attribution",
      "notice-required"
    ],
    "notes": {
      "en": "risk flag(s) scraped: never eligible or hosted",
      "zh": "risk flag(s) 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): 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：scraped。只链接原出处。"
  },
  "signoff": null,
  "risk_flags": [
    "scraped"
  ],
  "provenance": {
    "source_description": null,
    "upstream": []
  },
  "known_issues": [
    {
      "en": "Reviews come from specific e-commerce platforms and may not represent the overall market.",
      "zh": "评论来自特定电商平台，可能不代表整体市场。"
    },
    {
      "en": "Data spans multiple years and may carry time-related biases.",
      "zh": "数据跨越多年，可能存在时间相关的偏见。"
    }
  ],
  "usage_notes": [
    {
      "kind": "intended-purpose",
      "excerpt": "- 学术研究 / Academic Research: 鼓励用于学术研究和教育 / Encouraged for academic research and education",
      "url": null,
      "snapshot_id": null
    },
    {
      "kind": "intended-purpose",
      "excerpt": "学术研究 / Academic Research : 鼓励用于学术研究和教育 / Encouraged for academic research and education",
      "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
      "snapshot_id": "s02"
    }
  ],
  "preflight": {
    "status": "not-run"
  },
  "access": {
    "mdexa_download": null,
    "external_urls": [
      "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment"
    ],
    "notes": null
  },
  "citation": {
    "text": null,
    "references": []
  },
  "verification_level": "verified",
  "last_verified": "2026-11-14",
  "tags": [
    {
      "facet": "task_format",
      "value": "text-classification",
      "basis": "author-stated",
      "excerpt": "- **三分类情感分析 / 3-class Sentiment Classification**: positive, neutral, negative",
      "snapshot_id": "s01"
    },
    {
      "facet": "intended_use",
      "value": "fine-tuning",
      "basis": "author-stated",
      "excerpt": "   - 语言模型微调 / Language model fine-tuning",
      "snapshot_id": "s01"
    },
    {
      "facet": "data_format",
      "value": "csv",
      "basis": "author-stated",
      "excerpt": "- **文件格式 / File Format**: CSV (UTF-8 encoding)",
      "snapshot_id": "s01"
    },
    {
      "facet": "official_split",
      "value": "full-split",
      "basis": "author-stated",
      "excerpt": "- **训练集 / Training Set**: 90% (211,391 样本 / samples)\n- **验证集 / Validation Set**: 10% (23,487 样本 / samples)",
      "snapshot_id": "s01"
    }
  ],
  "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": "2026-11-14",
      "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": "OpenModels/Chinese-Herbal-Medicine-Sentiment",
    "source": {
      "api_url": "https://huggingface.co/api/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment",
      "fetched_on": "2026-11-14"
    },
    "access_state": "open",
    "files": [
      {
        "name": ".gitattributes",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment/resolve/6b2b55d97dd3b99b917aa637da501357f7b8adc0/.gitattributes",
        "size_bytes": 2461,
        "checksum": null,
        "format": "gitattributes"
      },
      {
        "name": "DATACARD.md",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment/resolve/6b2b55d97dd3b99b917aa637da501357f7b8adc0/DATACARD.md",
        "size_bytes": 10145,
        "checksum": null,
        "format": "md"
      },
      {
        "name": "README.md",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment/resolve/6b2b55d97dd3b99b917aa637da501357f7b8adc0/README.md",
        "size_bytes": 11212,
        "checksum": null,
        "format": "md"
      },
      {
        "name": "data/train-00000-of-00001.parquet",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment/resolve/6b2b55d97dd3b99b917aa637da501357f7b8adc0/data/train-00000-of-00001.parquet",
        "size_bytes": 24818338,
        "checksum": {
          "algorithm": "sha256",
          "value": "d322591bfb6cb0714d0d90cc6243072e893e1ea0cd0986e06d7b3a8ffac5cb12"
        },
        "format": "parquet"
      },
      {
        "name": "data/validation-00000-of-00001.parquet",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment/resolve/6b2b55d97dd3b99b917aa637da501357f7b8adc0/data/validation-00000-of-00001.parquet",
        "size_bytes": 2761919,
        "checksum": {
          "algorithm": "sha256",
          "value": "6b28b01620ae26bb008268d242739d14d10515274b0d47f85923e8aaaa45ad0f"
        },
        "format": "parquet"
      },
      {
        "name": "detailed_statistics.json",
        "url": "https://huggingface.co/datasets/OpenModels/Chinese-Herbal-Medicine-Sentiment/resolve/6b2b55d97dd3b99b917aa637da501357f7b8adc0/detailed_statistics.json",
        "size_bytes": 1353,
        "checksum": null,
        "format": "json"
      }
    ],
    "files_truncated": false,
    "commands": [
      {
        "command": "hf download OpenModels/Chinese-Herbal-Medicine-Sentiment --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": "6b2b55d97dd3b99b917aa637da501357f7b8adc0",
      "last_modified": "2025-08-25T18:50:36.000Z"
    },
    "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": []
  },
  "_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：MedChatZH (https://mdexa.com/zh/datasets/medchatzh/)；ShenNong_TCM_Dataset（ChatMed_TCM_Dataset） (https://mdexa.com/zh/datasets/shennong-tcm-dataset/)；LingLanMedBench Traditional Chinese Medicine Benchmark Dataset (https://mdexa.com/zh/datasets/linglan/)。",
    "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": "MedChatZH",
        "url": "https://mdexa.com/zh/datasets/medchatzh/",
        "json": "https://mdexa.com/zh/datasets/medchatzh.json"
      },
      {
        "name": "ShenNong_TCM_Dataset（ChatMed_TCM_Dataset）",
        "url": "https://mdexa.com/zh/datasets/shennong-tcm-dataset/",
        "json": "https://mdexa.com/zh/datasets/shennong-tcm-dataset.json"
      },
      {
        "name": "LingLanMedBench Traditional Chinese Medicine Benchmark Dataset",
        "url": "https://mdexa.com/zh/datasets/linglan/",
        "json": "https://mdexa.com/zh/datasets/linglan.json"
      }
    ]
  }
}