Chinese-Genealogy
收藏魔搭社区2025-08-29 更新2024-08-31 收录
下载链接:
https://modelscope.cn/datasets/OmniData/Chinese-Genealogy
下载链接
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资源简介:
displayName: 中国家谱总目
labelTypes:
- Text
license:
- CC BY-NC 4.0
mediaTypes:
- Text
paperUrl: ""
publishDate: "2023-11-26"
publishUrl: https://opendatalab.org.cn/
publisher:
- Corpus Data Alliance for Foudation Model
tags: []
taskTypes:
- Information Retrieval
- Key Information Extraction
---
## 数据产品主要信息
《中国家谱总目》数据集(以下简称“《总目》”)共1200万字,合10册,共收录海内外收藏的中国家谱条目共52401条,姓氏计608个。目录正文后附有等多种索引,以便读者查阅利用。《总目》是迄今为止**收录中国家谱数量最多、姓氏最多、参与编纂机构最多的目录,在中国谱牒目录学上具有划时代的意义**。
<br>
《总目》以上海图书馆为牵头单位(主编),由千余家海内外各主要藏谱机构协助,以及民间藏谱者的参与支持下,将我国各级图书馆、博物馆、档案馆等公藏机构,以及民间藏谱机构、海外藏谱机构和部分私人藏谱者的合计近千余家收藏的中国家谱,以特有的著录规则,按照书名项、责任者项、版本项、载体形态项、附注项、先祖名人项、装订项、收藏者项、备注项九项内容编纂成一部带有内容提要的联合目录。
<br>
《总目》数据集加工时间跨度为2001年5月-2008年12月,达7年之久。
## 注意
数据准备中即将上架,敬请关注
## 其他
```
2001年5月,由上海图书馆申报的《中国家谱总目》,被全国哲学社会科学规划办公室审定批准为“十五”国家社会科学基金项目(批准号:01EZS001)。标志着《总目》项目正式启动。
2008年12月由上海古籍出版社向海内外公开出版发行。本目录是国家“十一五”重点出版图书,被全国哲学社会科学规划办的专家委员会鉴定为“优秀”等级。
《总目》问世后,曾获得国内多项大奖,其中2011年1月,获第二届中国出版政府奖图书奖(注:国家奖)。
```
## Download dataset
:modelscope-code[]{type="git"}
displayName: General Catalogue of Chinese Genealogies
labelTypes:
- Text
license:
- CC BY-NC 4.0
mediaTypes:
- Text
paperUrl: ""
publishDate: "2023-11-26"
publishUrl: "https://opendatalab.org.cn/"
publisher:
- Corpus Data Alliance for Foudation Model
tags: []
taskTypes:
- Information Retrieval
- Key Information Extraction
---
## Main Information of the Data Product
The General Catalogue of Chinese Genealogies dataset (hereinafter referred to as "the Catalogue") has a total of 12 million words, compiled into 10 volumes, and contains 52,401 entries of Chinese genealogies collected at home and abroad, covering 608 Chinese surnames. Multiple indexes are attached after the main catalogue to facilitate readers' access and utilization.
To date, the Catalogue is the bibliography with the largest number of included Chinese genealogies, the most covered surnames, and the most participating compiling institutions, holding a landmark significance in the field of Chinese genealogical bibliography.
Led by the Shanghai Library as the chief editor, the Catalogue was compiled with the assistance of over a thousand major genealogy-collecting institutions at home and abroad, as well as support from private genealogy collectors. It integrates Chinese genealogies collected by nearly a thousand institutions across various sectors, including public collection entities such as libraries, museums and archives at all levels in China, private genealogy collection institutions, overseas genealogy collection institutions and some private collectors. Following a unique cataloging standard, it is compiled into a union catalogue with content abstracts based on nine core items: title, responsible party, edition, physical description, annotations, notable ancestors, binding, collector and remarks.
The data processing of the dataset spanned from May 2001 to December 2008, lasting a total of 7 years.
---
## Note
The dataset is currently under preparation for upcoming release, please stay tuned.
## Additional Information
In May 2001, the General Catalogue of Chinese Genealogies, submitted by the Shanghai Library, was approved as a "10th Five-Year Plan" National Social Science Fund Project by the National Office of Philosophy and Social Science Planning (approval number: 01EZS001), marking the official launch of the Catalogue project.
In December 2008, it was officially published and distributed globally by Shanghai Ancient Books Publishing House. This catalogue is a key publication project under China's "11th Five-Year Plan" and was rated as "Excellent" by the expert committee of the National Office of Philosophy and Social Science Planning.
Since its release, the Catalogue has won multiple domestic awards, including the 2nd China Publishing Government Award for Books (Note: National-level Award) in January 2011.
## Download Dataset
:modelscope-code[]{type="git"}
提供机构:
maas
创建时间:
2024-07-02
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集基于《中国家谱总目》,是一个涵盖52,401条中国家谱条目、608个姓氏的综合性目录,由上海图书馆主导、国内外众多机构合作编译,历时七年完成。目前数据准备中,尚未完全开放使用。
以上内容由遇见数据集搜集并总结生成



