README.md

---
language:
- fr
license: mit
pretty_name: French Court of Appeal Decisions (CAPP)
size_categories:
- n>1M
source_datasets: []
task_categories:
- text-classification
- text-generation
task_ids:
- document-retrieval
- document-question-answering
tags:
- legal
- french-law
- court-of-appeal
- judicial-decisions
dataset_info:
  features:
    - name: id
      dtype: string
    - name: ancien_id
      dtype: string
    - name: origine
      dtype: string
    - name: url
      dtype: string
    - name: nature
      dtype: string
    - name: titre
      dtype: string
    - name: date_decision
      dtype: string
    - name: juridiction
      dtype: string
    - name: numero
      dtype: string
    - name: solution
      dtype: string
    - name: numero_affaire
      dtype: string
    - name: formation
      dtype: string
    - name: siege_appel
      dtype: string
    - name: juridiction_premiere_instance
      dtype: string
    - name: lieu_premiere_instance
      dtype: string
    - name: president
      dtype: string
    - name: avocat_general
      dtype: string
    - name: avocats
      dtype: string
    - name: rapporteur
      dtype: string
    - name: contenu
      dtype: string
    - name: sommaire
      dtype: string
---

# French Court of Appeal Decisions Dataset (CAPP)

## Dataset Description

The French Court of Appeal Decisions Dataset (CAPP) is a comprehensive collection of judicial decisions from French Courts of Appeal. This dataset contains appellate court decisions from various jurisdictions throughout France, providing a valuable resource for legal research, analysis, and machine learning applications in the French legal domain.

### Source Data

The data is sourced from the official DILA (Direction de l'Information Légale et Administrative) platform through their open data initiative. The original data is available at: https://echanges.dila.gouv.fr/OPENDATA/CAPP/

## Content Description

Each entry in the dataset represents a single judicial decision and includes the following information:

- **id**: Unique identifier for the decision
- **ancien_id**: Previous identifier (if applicable)
- **origine**: Origin of the decision
- **url**: URL to the source document
- **nature**: Nature of the document
- **titre**: Title of the decision
- **date_decision**: Date when the decision was made
- **juridiction**: Court that made the decision
- **numero**: Case number
- **solution**: Decision outcome
- **numero_affaire**: Case reference number
- **formation**: Court formation/chamber
- **siege_appel**: Location of the Court of Appeal
- **juridiction_premiere_instance**: First instance court
- **lieu_premiere_instance**: Location of first instance court
- **president**: Presiding judge
- **avocat_general**: Attorney General
- **avocats**: Lawyers involved
- **rapporteur**: Reporting judge
- **contenu**: Full text content of the decision
- **sommaire**: Summary of the decision

## Usage

This dataset can be loaded using the Hugging Face datasets library:

```python
from datasets import load_dataset

dataset = load_dataset("username/french-court-appeal-decisions")
```

## Data Processing

The dataset was created by:
1. Downloading compressed archives from DILA's open data platform
2. Extracting and parsing XML files containing court decisions
3. Cleaning and structuring the data into a consistent format
4. Converting the data into JSONL format for efficient processing

## Applications

This dataset is suitable for various applications, including:
- Legal document retrieval systems
- Case law analysis
- Legal precedent research
- Machine learning models for legal text classification
- Legal question answering systems
- Legal text summarization

## Citation

If you use this dataset in your research, please cite:

```
@dataset{french_court_appeal_decisions,
  author = {DILA},
  title = {French Court of Appeal Decisions Dataset},
  year = {2023},
  publisher = {Direction de l'Information Légale et Administrative},
  url = {https://echanges.dila.gouv.fr/OPENDATA/CAPP/}
}
```

## License

This dataset is released under the MIT License. Please refer to the license file for more details.

## Acknowledgments

Thanks to DILA (Direction de l'Information Légale et Administrative) for making this data publicly available through their open data initiative.