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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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license: openrail |
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--- |
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# Dataset Card for Legal_Clauses Dataset |
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### Dataset Summary |
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This dataset is a subset of the [LevMuchnik/SupremeCourtOfIsrael](https://huggingface.co/datasets/LevMuchnik/SupremeCourtOfIsrael) dataset. It has been processed using the [shay681/HeBERT_finetuned_Legal_Clauses](https://huggingface.co/shay681/HeBERT_finetuned_Legal_Clauses) model, which extracted the legal clauses from the text column. |
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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('shay681/Legal_Clauses') |
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``` |
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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. |
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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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### About Me |
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Created by Shay Doner. This is my final project as part of intelligent systems M.Sc studies at Afeka College in Tel-Aviv. For more cooperation, please contact email: [email protected] |