Home Data By Language 中文 / Chinese 法律文书

15类7,452篇法律文章数据库: 内容,作者 7,452 Legal Articles Database: Content, Author by 15 Categories

Name	n3_chennan_CS_falvwenzhang_jsqlawer_com
Data	48.06M (+ 0B)
Tables	3 (+ 0)
Columns	19 (+ 0)
Table Rows	15,815 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

该法律文章数据库包含有15个分类下的7,452篇法律文章。每篇法律文章有内容，来源，作者和时间信息。整个法律文章数据库共有3个表。

This is a legal articles database with 7,452 records by 15 categories. Each record is comprised of title, content, source, author and time. The whole legal articles database totally has 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/law_articles_1/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
category_1	15	title	100%
category_1_x_wenzhang	8,348	category_1_id	100%
category_1_x_wenzhang	8,348	wenzhang_id	100%
wenzhang	7,452	title	100%
		neirong	99.99%
		laiyuan	100%
		zuozhe	100%
		shijian	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)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	48.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	48.06M (+ 14M)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	34.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	34.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	34.06M (+ 0B)	3 (+ 0)	19 (+ 0)	15,815 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12	34.06M	3	19	15,815	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.