Parallel Corpus Dataset of Land-Use Zoning and Development Control Texts
#machine translation #terminology alignment #domain-specific text translation #land use planning #zoning regulation translation #urban development management
- 5000
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This corpus pairs source texts with target-language translations of regulatory clauses from land use planning, including zoning controls, permitted uses, development restrictions, and planning controls. It captures formal regulatory phrasing and cross-language equivalents for planning terminology. Fields for translation instructions, language information, clause categories, and aligned terms support supervised instruction tuning, model training and evaluation, and terminology research.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| clause_type | string | Category of the control addressed by the clause, such as zoning, permitted uses, development restrictions, or planning controls. |
| source_text | string | Original land use planning regulation or control clause to be translated. |
| target_text | string | Reference translation in the target language corresponding to the source clause. |
| source_language | string | Name or language code of the language used in the source clause. |
| target_language | string | Name or language code of the language used in the target translation. |
| instruction_text | string | Supervised translation task instruction based on the source and target languages and the planning regulation context. |
| aligned_terminology | string | Corresponding planning terms and expressions in the source and target languages; may include multiple term pairs. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 texts does the corpus cover?
- It focuses on regulatory texts used in land use planning, including zoning controls, permitted uses, development restrictions, and planning controls. Source clauses are paired with their target-language translations.
- What fields are included, and how can the corpus be used for training?
- Fields include source text, target text, source and target languages, translation instructions, clause categories, and aligned terminology. They support supervised instruction tuning, machine translation training, terminology consistency research, and model evaluation. Check the actual data files for the available language pairs and dataset size.
- How can I access and use the corpus?
- Obtain it through the dataset release page or the provider's designated channel, and consult the accompanying documentation for file format, language pairs, and field details. Before use, you can filter examples by clause category and check the alignment between source texts and translations.
- What are the licensing terms and suitable use cases?
- Suitable uses include translating land use planning regulations, handling domain terminology, and developing related models. Commercial use, redistribution, and other permissions depend on the provider's license. Verify copyright, permitted uses, and restrictions before use.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Parallel Corpus Dataset of Land-Use Zoning and Development Control Texts},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/51968fff8e2af2d9d222cca0fa72a853?dataset_scene_id=18},
urldate={2026-10-09},
keywords={land use planning corpus, zoning translation, development control texts, planning regulation translation, parallel corpus, terminology alignment, instruction tuning data},
version={1.0}
}Using this in research? Please cite us.
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