metadata

language:
  - he
tags:
  - legal, verdicts, metadata, hebrew
pretty_name: find precedents in Legal documents
size_categories:
  - 100K<n<1M
task_ids:
  - language-modeling
  - masked-language-modeling
  - document-retrieval
task_categories:
  - text-generation
  - text-retrieval
license: openrail

Dataset Card for Precedents Dataset

Dataset Summary

This dataset is a subset of the LevMuchnik/SupremeCourtOfIsrael dataset. It has been processed using the shay681/HeBERT_finetuned_Precedents model, which extracted the precedents from the text column.

It can be loaded with the dataset package:

import datasets
data = datasets.load_dataset('shay681/Precedents')

Dataset Structure

The dataset is a json lines file with each line corresponding to a single document and containing document identification, text and metadata.

Data Fields

The file contains the following fields:

Id - document id
text - text of the document.
Precedents_Found - precedents extracted from the text column.

Data Splits

The entire dataset is qualified as 'train'.

About Me

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: shay681@gmail.com