Home Data By Language 中文 / Chinese 法律文书

中国9类30,388个法律案例数据库:作者,内容,来源 China 30,388 Legal Cases Data: Content, Source, Author, Category

Name	n3_chennan_CS_falvanli_edu1488_com
Data	61.25M (+ 0B)
Tables	3 (+ 0)
Columns	17 (+ 0)
Table Rows	60,785 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个分类较全的法律案例数据库。其中，包含有9大分类和30,388个案例资料。每个案例记录中有标题、内容、来源及作者。该案例数据库中的案例分类分别是民商案例、刑事案例、行政案例、知识产权、劳动争议、医疗纠纷、消费维权、婚姻继承和国际要案。该法律案例数据库共有3个表。

This is a comprehensive legal cases database with 30,388 records by 9 categories in China. Each legal case is comprised of title, content, source and author. These categories are civil & commercial cases, criminal cases, administrative cases, intellectual property, labor dispute, medical dispute, consumer rights, marriage & inheritance and international cases. The whole China legal cases data set has a total of 3 tables.

Data Samples

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table

Data APIs

http://n3.datasn.io/data/api/v1/n3_chennan/falvanli_4/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
anli	30,388	title	99.99%
		neirong	34.53%
		laiyuan	35.05%
		zuozhe	0%
category_1	9	title	100%
category_1_x_anli	30,388	category_1_id	100%
category_1_x_anli	30,388	anli_id	100%

Notes:

Meta columns id and ts are not shown here, but included in columns total.
Some statistical or memo columns are not shown here, but included in columns total.
Non-empty percentage indicates the percent of values that are non-empty for that particular column.

Media Sets

No media sets.

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	61.25M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	61.25M (+ 45.05M)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	16.20M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	16.20M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	16.20M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	16.20M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-06-10 (+ 31 d)	16.20M (+ 0B)	3 (+ 0)	17 (+ 0)	60,785 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-05-10	16.20M	3	17	60,785	0B	0

Download Latest Commit

In the same time, you can also access this data set via API.

Access Now!

How to use

View the page for data details.
Sign up for an account and log in.
Open Online Query to build API addresses / calls.
Open the API address / call to access the data.

FAQ

How to access the data?

Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
Why are data size increments not in line with those of number of rows?

The scanning and profiling of data size increments are done separately from those of the number of rows.