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中国3类8,300篇裁决文书数据库: 标题, 内容 China 8,300 Judgements Data: Title, Content by 3 Categories

Name	n3_chennan_CS_falvanli_law_lib_com
Data	40.08M (+ 0B)
Tables	3 (+ 0)
Columns	16 (+ 0)
Table Rows	16,603 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个记录有8,300篇裁决文书数据库且共有3大分类（刑事裁判文书、民事裁判文书和行政裁判文书）。每篇裁决书包含有标题，事件和内容。该裁决文书数据库共有3个表。

This China judgements database contains 8,300 judgements with title, event and content in each. All these judgements are categorized into 3 classifications, such as criminal judgement, civil judgement and administrative judgement. The whole China judgements 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/caijuewenshu_1/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
caijuewenshu	8,300	title	100%
		shijian	100%
		neirong	62.04%
category_1	3	title	100%
category_1_x_caijuewenshu	8,300	category_1_id	100%
category_1_x_caijuewenshu	8,300	caijuewenshu_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)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	40.08M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	40.08M (+ 18.98M)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	21.09M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	21.09M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	21.09M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	21.09M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-06-10 (+ 31 d)	21.09M (+ 0B)	3 (+ 0)	16 (+ 0)	16,603 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-05-10	21.09M	3	16	16,603	0B	0

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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.