metadata

annotations_creators:
  - no-annotation
language:
  - fr
language_creators:
  - found
license:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: French Legal Cases Dataset
size_categories:
  - n>1M
source_datasets:
  - la-mousse/INCA-17-01-2025
  - la-mousse/JADE-17-01-2025
  - la-mousse/CASS-17-01-2025
  - la-mousse/CAPP-17-01-2025
task_categories:
  - text-generation
  - text-classification
task_ids:
  - language-modeling
  - entity-linking-classification
  - fact-checking
  - intent-classification
  - multi-label-classification
  - multi-input-text-classification
  - natural-language-inference
  - semantic-similarity-classification
  - sentiment-classification
  - topic-classification
  - sentiment-analysis
  - named-entity-recognition
  - parsing
  - extractive-qa
  - open-domain-qa
  - closed-domain-qa
  - news-articles-summarization
  - news-articles-headline-generation
  - dialogue-modeling
  - dialogue-generation
  - abstractive-qa
  - closed-domain-qa
  - keyword-spotting
  - semantic-segmentation
  - tabular-multi-class-classification
  - tabular-multi-label-classification
  - document-retrieval
  - document-question-answering
paperswithcode_id: french-legal-cases
dataset_info:
  features:
    - name: id
      dtype: string
    - name: url
      dtype: string
    - name: case_number
      dtype: string
    - name: contenu
      dtype: string
    - name: sommaire
      dtype: string
    - name: sommaire_bis
      dtype: string
    - name: metadata
      dtype: string
    - name: dataset_source
      dtype: string
    - name: previous_text
      dtype: string
    - name: current_text
      dtype: string
    - name: next_text
      dtype: string
    - name: triplet_index
      dtype: int64
  splits:
    - name: train
      num_bytes: 1586973833
      num_examples: 68360
  download_size: 85822457
  dataset_size: 1586973833
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for French Legal Cases Dataset

Dataset Description

Homepage: https://huggingface.co./datasets/la-mousse/combined-fe-caselaw
Repository: https://huggingface.co./datasets/la-mousse/combined-fe-caselaw
Paper: N/A
Point of Contact: [Your Contact Information]

Dataset Summary

This dataset combines French legal cases from multiple sources (INCA, JADE, CASS, CAPP) into a unified format with overlapping text triplets. It includes decisions from various French courts, processed to facilitate natural language processing tasks.

Supported Tasks and Leaderboards

Tasks:
- Text Generation
- Legal Document Analysis
- Text Classification
- Language Modeling

Languages

The dataset is monolingual (French).

Dataset Structure

Data Instances

Each instance contains:

Document identifiers (id, url, case_number)
Original text content (contenu)
Summaries (sommaire, sommaire_bis)
Metadata (JSON formatted string)
Text triplets (previous_text, current_text, next_text)
Position tracking (triplet_index, window_index)

Example:

{
    'id': 'CASS12345',
    'url': 'https://...',
    'case_number': '12-34567',
    'contenu': 'Full text...',
    'sommaire': 'Summary...',
    'sommaire_bis': 'Additional summary...',
    'metadata': '{"date_decision": "2023-01-01", ...}',
    'dataset_source': 'CASS',
    'previous_text': 'Previous chunk...',
    'current_text': 'Current chunk...',
    'next_text': 'Next chunk...',
    'triplet_index': 0,
    'window_index': 0
}

Data Fields

id: Unique identifier
url: Source URL
case_number: Case reference number
contenu: Full text content
sommaire: Primary summary
sommaire_bis: Secondary summary
metadata: JSON string containing additional metadata
dataset_source: Origin dataset (INCA/JADE/CASS/CAPP)
previous_text: Previous text chunk
current_text: Current text chunk
next_text: Next text chunk
triplet_index: Position in sequence of triplets
window_index: Window number for long texts

Data Splits

Training split only

Dataset Creation

Curation Rationale

This dataset was created to provide a standardized format for French legal texts, with overlapping text chunks suitable for various NLP tasks.

Source Data

Initial Data Collection and Normalization

INCA: Court of Cassation decisions
JADE: Administrative court decisions
CASS: Court of Cassation decisions
CAPP: Court of Appeal decisions

Preprocessing

Text chunking with 230-token chunks and 30-token overlap
Sliding window approach for long texts
Metadata preservation and standardization
Token count verification
JSON formatting for metadata

Quality Control

Token length verification
Chunk coherence checks
Metadata validation
Error logging and handling

Considerations for Using the Data

Social Impact of Dataset

This dataset aims to improve access to and understanding of French legal decisions, potentially benefiting legal research and analysis.

Discussion of Biases

The dataset may reflect inherent biases in the French legal system and case selection/publication processes.

Other Known Limitations

Limited to published decisions
Varying detail levels across sources
Potential OCR errors in source texts

Additional Information

Dataset Curators

La-Mousse

Licensing Information

CC-BY-4.0

Citation Information

@misc{french-legal-cases-2024,
    title={French Legal Cases Dataset},
    author={[Your Name]},
    year={2024},
    publisher={HuggingFace},
    url={https://huggingface.co./datasets/la-mousse/combined-fr-caselaw}
}

Contributions

Thanks to @huggingface for the dataset hosting and infrastructure.