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Update README.md
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README.md
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@@ -72,6 +72,20 @@ 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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Easy-to-use script for hashing the `document`:
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```python
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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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- `id`: A unique identifier for each document
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- `title`: The title of the legal document
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- `citation`: The citation information for the document, referencing legal precedents or sources
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- `docket_number`: The docket number associated with the legal case or document
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- `state`: The state or jurisdiction related to the document (e.g., "Maine"...)
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- `issuer`: The entity or authority that issued the document
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- `document`: The full text content of the legal document
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- `hash`: A SHA-256 hash of the document for verification purposes, ensuring data integrity
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- `timestamp`: The timestamp indicating when the document was created, enacted, or last updated
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Easy-to-use script for hashing the `document`:
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```python
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