README.md

metadata

license: cc-by-4.0
dataset_info:
  splits:
    - name: train
      num_bytes: 33980817
      num_examples: 1022
  download_size: 17759423
  dataset_size: 33980817
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
annotations_creators:
  - expert-generated
language:
  - en
language_creators:
  - found
  - expert-generated
multilinguality:
  - monolingual
pretty_name: >-
  LegalOps: A summarisation corpus of Federal and Supreme Court Opinions from
  the Justia Portal
size_categories:
  - 10K<n<100K
source_datasets:
  - original
tags:
  - legal
task_categories:
  - summarization
  - text2text-generation
task_ids:
  - text-simplification

Dataset Card for LegalOps JustiaCorpus

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage:
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

https://supreme.justia.com/

As the highest court in the nation, the U.S. Supreme Court has shaped the rights and freedoms of Americans since the Founding. Justia provides a free collection of all U.S. Supreme Court decisions from 1791 to the present.

https://law.justia.com/cases/federal/

Supported Tasks and Leaderboards

• Text Summarisation

Languages

• English

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[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

Thanks to @RobFirth for adding this dataset.