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@@ -62,15 +62,6 @@ The primary objective of this dataset is to centralize laws from around the worl
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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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- ## 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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  ## 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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  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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  ## 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: