license: openrail
language:
- he
tags:
- legal, verdicts, metadata
pretty_name: Supreme Court Israel - Public Verdicts and Decisions
size_categories:
- 100K<n<1M
Dataset Card for Dataset Name
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: Lev Muchnik, [email protected]
Dataset Summary
This dataset represents an end of 2022 snapshot of the Supreme Court of Israel public verdicts and decisions supported by rich metadata. The 5.31GB dataset represents 751,194 documents. Overall, the dataset contains 2.68 Gb of text. It can be loaded with the dataset package:
import datasets
data = datasets.load_dataset('LevMuchnik/SupremeCourtOfIsrael')
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The vast majority of the documents in the database are in Hebrew. A small number of documents are in English.
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 Instances
[More Information Needed]
Data Fields
The file contains the following fields:
- case_id - running number for cases
- Id -
- CaseId -
- CaseName - formal name of the case
- Year -
- TypeCode - enumeration of the type
- Type - Document type
- פסק-דין 84339
- החלטה 663099
- צו ביניים 22
- פסקי דין באנגלית 310
- צו על תנאי 200
- צו 2606
- פד"י 302
- תקצירים 316
- SeqNum -
- document_hash - unique document identifier
- html_text - clean document text. The original layout (paragraphs,lists, etc.) is preserved.
- html_title - document title extracted from HTML
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
The data was colleted by crawling the Israeli Supreme Court website.
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
[More Information Needed]