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  - droit
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  - fiscalité
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  - taxation
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- pretty_name: The legal datasets on HF
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - droit
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  - fiscalité
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  - taxation
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+ pretty_name: The Laws, centralizing legal texts for better use
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+ ---
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+ ## Dataset Description
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+ - **Repository:** https://huggingface.co/datasets/HFforLegal/laws
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+ - **Leaderboard:** N/A
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+ - **Point of Contact:** [Louis Brulé Naudet](mailto:[email protected])
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+ <img src="assets/thumbnail.png">
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+ # Laws, centralizing legal texts for better use, a community Dataset.
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+ ## Overview
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+ The Laws Dataset is a comprehensive collection of legal texts from various countries, centralized in a common format. This dataset aims to improve the development of legal AI models by providing a standardized, easily accessible corpus of global legal documents.
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+ <div class="not-prose bg-gradient-to-r from-gray-50-to-white text-gray-900 border" style="border-radius: 8px; padding: 0.5rem 1rem;">
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+ <p>Join us in our mission to make AI more accessible and understandable for the legal world, ensuring that the power of language models can be harnessed effectively and ethically in the pursuit of justice.</p>
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+ </div>
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+
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+ ## Objective
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+ The primary objective of this dataset is to centralize laws from around the world in a common format, thereby facilitating:
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+ 1. Comparative legal studies
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+ 2. Development of multilingual legal AI models
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+ 3. Cross-jurisdictional legal research
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+ 4. Improvement of legal technology tools
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+ By providing a standardized dataset of global legal texts, we aim to accelerate the development of AI models in the legal domain, enabling more accurate and comprehensive legal analysis across different jurisdictions.
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+
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+ ## Dataset Structure
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+ The dataset is organized with the following columns:
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+ - `content`: The text content of the legal document
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+ - `id`: A unique identifier for each document
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+ - `section`: The section or category of the law
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+ - `id_hash`: A SHA-256 hash of the document's ID for verification purposes
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+
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+ ## Ethical Considerations
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+ While this dataset provides a valuable resource for legal AI development, users should be aware of the following ethical considerations:
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+ - Privacy: Ensure that all personal information has been properly anonymized.
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+ - Bias: Be aware of potential biases in the source material and in the selection of included laws.
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+ - Currency: Laws change over time. Always verify that you're working with the most up-to-date version of a law for any real-world application.
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+ - Jurisdiction: Legal interpretations can vary by jurisdiction. AI models trained on this data should not be used as a substitute for professional legal advice.
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+ ## Citing & Authors
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+ If you use this dataset in your research, please use the following BibTeX entry.
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+ ```BibTeX
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+ @misc{HFforLegal2024,
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+ author = {Louis Brulé Naudet},
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+ title = {The Law, centralizing legal texts for better use},
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+ year = {2024}
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+ howpublished = {\url{https://huggingface.co/datasets/HFforLegal/laws}},
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+ }
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+ ```
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+ ## Feedback
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+ If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).