Name | n3_chennan_CS_falvanli_110_com |
---|---|
Data | 551.86M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 25 (+ 0) |
Table Rows | 68,444 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
中国法律案例数据库有7大分类下的34,202起判裁案例。这7大分类分别是:仲裁案件、国家赔偿、刑事诉讼、行政诉讼、民事诉讼、知识产权和海事海商案件。每起案例包含有标题,内容,事件,当事人,法官和文号。该中国判裁案例数据库共有4个表。
This is a list of legal cases with 34,202 records classified by 7 types. Each record consists of title, content, event, parties and case number. The whole China legal cases database has 4 tables.
These 7 legal cases classifications are arbitration cases, state compensation, criminal proceedings, administrative litigation, civil litigation, intellectual property rights and maritime traders.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 7 | title |
100%
|
category_2 | 33 | title |
100%
|
category_1_id |
100%
|
||
category_1 |
100%
|
||
category_2_x_falvanli | 34,202 | category_2_id |
100%
|
falvanli_id |
100%
|
||
falvanli | 34,202 | title |
100%
|
neirong |
100%
|
||
shijian |
99.54%
|
||
dangshiren |
96%
|
||
faguan |
22.11%
|
||
wenhao |
99.97%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 551.86M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 551.86M (+ 537.14M) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 14.72M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 14.72M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 14.72M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 14.72M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 14.72M (+ 0B) | 4 (+ 0) | 25 (+ 0) | 68,444 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 | 14.72M | 4 | 25 | 68,444 | 0B | 0 |
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