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README.md
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---
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language:
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- he
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tags:
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- legal, verdicts, metadata, hebrew
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pretty_name: find legal clauses in Legal documents
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size_categories:
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- 100K<n<1M
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task_ids:
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- language-modeling
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- masked-language-modeling
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- document-retrieval
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task_categories:
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- text-generation
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- text-retrieval
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---
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# Dataset Card for Dataset Name
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## Dataset Description
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### Dataset Summary
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This dataset represents a 2022 snapshot of the Supreme Court of Israel public verdicts and decisions supported by rich metadata. The 5.31GB dataset represents 751,194 documents.
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Overall, the dataset contains 2.68 Gb of text.
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It can be loaded with the dataset package:
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```
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import datasets
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data = datasets.load_dataset('LevMuchnik/SupremeCourtOfIsrael')
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```
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### Languages
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The vast majority of the documents in the database are in Hebrew. A small number of documents are in English.
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## Dataset Structure
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The dataset is a json lines file with each line corresponding to a single document and containing document identification, text and metadata.
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### Data Fields
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The file contains the following fields:
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- Id - document id
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- text - text of the document. Multiple newlines and other document formating elements (paragraphs,lists, etc.) are preserved.
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- Legal_Clauses_Found - legal clauses extracted from the text column.
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### Data Splits
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The entire dataset is qualified as 'train'.
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### Citation Information
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Shay Doner
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