Name | n3_chennan_CS_falvanli_china_findlaw_cn |
---|---|
Data | 10.50M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 20 (+ 0) |
Table Rows | 10,421 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
中国法律案例分析数据库包含有7大分类下的5,207起法律案件。这7大案例分类分别是 民事案例、刑事案例、行政案例、商事案例、劳动法案例、国际案例和重大事件案例。每个法律案件分析记录中有标题、案例分类、内容、摘要、来源、作者以及日期。该案例分析数据库中共有3个表。
This is a study of China legal cases database with 5,207 legal cases. All these cases are categorized into 7 classifications, such as civil case, criminal case, administrative case, business case, labor law case, international case and major case analysis. Each legal case contains title, case classification, content, abstract, source, author and date. The whole China legal cases analysis data set has 3 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
anlifenxi | 5,207 | title |
99.98%
|
anlifenlei |
100%
|
||
neirong |
11.58%
|
||
zhaiyao |
11.58%
|
||
laiyuan |
11.58%
|
||
zuozhe |
0.02%
|
||
date |
11.58%
|
||
category_1 | 7 | title |
100%
|
category_1_x_anlifenxi | 5,207 | category_1_id |
100%
|
anlifenxi_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 10.50M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 10.50M (+ 1.02M) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 9.48M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 9.48M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 9.48M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 9.48M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 9.48M (+ 0B) | 3 (+ 0) | 20 (+ 0) | 10,421 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 | 9.48M | 3 | 20 | 10,421 | 0B | 0 |
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