Current Chinese Laws (2025.1.1) Text Dataset
#natural language processing #text classification #information retrieval #knowledge extraction #legal text analysis #automatic contract review #legal statute search optimization #legal knowledge graph construction
- 500 records
- 1.3G
- TXT
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the rapidly evolving digital era, legal text analysis faces a large amount of complex data processing demands. Existing legal text analysis systems often suffer from low processing efficiency and inadequate accuracy. To enhance intelligent legal applications, the Current Chinese Laws (2025.1.1) Text Dataset is introduced to improve text processing accuracy and efficiency. The dataset is collected based on the National Law Database, using automated crawlers and OCR technology to extract text from publicly available legal documents. In terms of quality control, the data undergoes multiple rounds of expert review and consistency checks to ensure the precision and consistency of the annotations. The annotation team is composed of experts with legal professional backgrounds, ensuring the matching of annotations with domain knowledge. Data preprocessing includes steps such as tokenization, denoising, and structured analysis, stored in TXT format, which is clear and easy for retrieval and processing.
Dataset Insights
Sample Examples
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| law_title | string | The title or name of the legal text. |
| law_section | string | The section or article to which the legal text belongs. |
| law_reference_number | string | The official reference number within the legal document. |
| keywords | string | Important legal terms or keywords mentioned in the text. |
| jurisdiction | string | The jurisdiction or region where the legal text is applicable. |
| language | string | The language in which the legal text is written. |
| related_laws | string | Other legal provisions related to the current legal text. |
| effective_date | date | The date when the legal text becomes effective or applicable. |
| amendment_history | string | The amendment or update history of the legal text. |
| summary | string | A brief overview of the content of the legal text. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What types of legal documents are included in this dataset?
- This dataset includes various types of legal documents such as laws, judicial interpretations, and administrative regulations.
- What are the main applications of the current Chinese legal text dataset?
- The dataset is primarily used for legal intelligence applications such as law clause retrieval, case analysis support, and legal text classification.
- How often is this legal text dataset updated?
- The dataset is regularly updated according to the enactment and amendment of laws to maintain consistency with current legal statutes.
- Is special software required to handle the current Chinese legal text dataset?
- No special software is needed, as general text processing tools suffice, but utilizing specialized legal analysis tools can enhance efficiency.
- How does the dataset support the accuracy of legal text processing?
- By providing comprehensive legal texts, the dataset aids in improving the accuracy of text processing within legal intelligence applications.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Current Chinese Laws (2025.1.1) Text Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/7736bf4e0e3c75f5ce3f70e7c4e2e532?dataset_scene_id=8},
urldate={2026-02-04},
keywords={legal text dataset, legal text analysis, legal information retrieval, legal big data},
version={1.0}
}Using this in research? Please cite us.
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