|
--- |
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annotations_creators: |
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- no-annotation |
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language: |
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- fr |
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language_creators: |
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- found |
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license: |
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- cc-by-4.0 |
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multilinguality: |
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- monolingual |
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pretty_name: French Legal Cases Dataset |
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size_categories: |
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- n>1M |
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source_datasets: |
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- la-mousse/INCA-17-01-2025 |
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- la-mousse/JADE-17-01-2025 |
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- la-mousse/CASS-17-01-2025 |
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- la-mousse/CAPP-17-01-2025 |
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task_categories: |
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- text-generation |
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- text-classification |
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task_ids: |
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- language-modeling |
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- text-classification-other |
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paperswithcode_id: french-legal-cases |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: case_number |
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dtype: string |
|
- name: contenu |
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dtype: string |
|
- name: sommaire |
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dtype: string |
|
- name: sommaire_bis |
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dtype: string |
|
- name: metadata |
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dtype: string |
|
- name: dataset_source |
|
dtype: string |
|
- name: previous_text |
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dtype: string |
|
- name: current_text |
|
dtype: string |
|
- name: next_text |
|
dtype: string |
|
- name: triplet_index |
|
dtype: int64 |
|
- name: window_index |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 5622831848 |
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num_examples: 510907 |
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download_size: 617726743 |
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dataset_size: 5622831848 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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|
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# Dataset Card for French Legal Cases Dataset |
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|
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## Dataset Description |
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|
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- **Homepage:** [https://huggingface.co/datasets/la-mousse/combined-fe-caselaw](https://huggingface.co/datasets/la-mousse/combined-fe-caselaw) |
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- **Repository:** [https://huggingface.co/datasets/la-mousse/combined-fe-caselaw](https://huggingface.co/datasets/la-mousse/combined-fe-caselaw) |
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- **Paper:** N/A |
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- **Point of Contact:** [Your Contact Information] |
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|
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### Dataset Summary |
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|
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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. |
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### Supported Tasks and Leaderboards |
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- **Tasks:** |
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- Text Generation |
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- Legal Document Analysis |
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- Text Classification |
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- Language Modeling |
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|
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### Languages |
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|
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The dataset is monolingual (French). |
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|
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## Dataset Structure |
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|
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### Data Instances |
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Each instance contains: |
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- Document identifiers (id, url, case_number) |
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- Original text content (contenu) |
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- Summaries (sommaire, sommaire_bis) |
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- Metadata (JSON formatted string) |
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- Text triplets (previous_text, current_text, next_text) |
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- Position tracking (triplet_index, window_index) |
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|
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Example: |
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```python |
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{ |
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'id': 'CASS12345', |
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'url': 'https://...', |
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'case_number': '12-34567', |
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'contenu': 'Full text...', |
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'sommaire': 'Summary...', |
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'sommaire_bis': 'Additional summary...', |
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'metadata': '{"date_decision": "2023-01-01", ...}', |
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'dataset_source': 'CASS', |
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'previous_text': 'Previous chunk...', |
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'current_text': 'Current chunk...', |
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'next_text': 'Next chunk...', |
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'triplet_index': 0, |
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'window_index': 0 |
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} |
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``` |
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|
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### Data Fields |
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|
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- `id`: Unique identifier |
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- `url`: Source URL |
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- `case_number`: Case reference number |
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- `contenu`: Full text content |
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- `sommaire`: Primary summary |
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- `sommaire_bis`: Secondary summary |
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- `metadata`: JSON string containing additional metadata |
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- `dataset_source`: Origin dataset (INCA/JADE/CASS/CAPP) |
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- `previous_text`: Previous text chunk |
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- `current_text`: Current text chunk |
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- `next_text`: Next text chunk |
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- `triplet_index`: Position in sequence of triplets |
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- `window_index`: Window number for long texts |
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|
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### Data Splits |
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- Training split only |
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|
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## Dataset Creation |
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|
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### Curation Rationale |
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|
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This dataset was created to provide a standardized format for French legal texts, with overlapping text chunks suitable for various NLP tasks. |
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|
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### Source Data |
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|
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#### Initial Data Collection and Normalization |
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|
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- INCA: Court of Cassation decisions |
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- JADE: Administrative court decisions |
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- CASS: Court of Cassation decisions |
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- CAPP: Court of Appeal decisions |
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|
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### Preprocessing |
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|
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- Text chunking with 230-token chunks and 30-token overlap |
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- Sliding window approach for long texts |
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- Metadata preservation and standardization |
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- Token count verification |
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- JSON formatting for metadata |
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|
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### Quality Control |
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|
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- Token length verification |
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- Chunk coherence checks |
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- Metadata validation |
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- Error logging and handling |
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|
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## Considerations for Using the Data |
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|
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### Social Impact of Dataset |
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This dataset aims to improve access to and understanding of French legal decisions, potentially benefiting legal research and analysis. |
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### Discussion of Biases |
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The dataset may reflect inherent biases in the French legal system and case selection/publication processes. |
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### Other Known Limitations |
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|
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- Limited to published decisions |
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- Varying detail levels across sources |
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- Potential OCR errors in source texts |
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## Additional Information |
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### Dataset Curators |
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|
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La-Mousse |
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### Licensing Information |
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|
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CC-BY-4.0 |
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### Citation Information |
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|
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``` |
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@misc{french-legal-cases-2024, |
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title={French Legal Cases Dataset}, |
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author={[Your Name]}, |
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year={2024}, |
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publisher={HuggingFace}, |
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url={https://huggingface.co/datasets/la-mousse/combined-fr-caselaw} |
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} |
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``` |
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|
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### Contributions |
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|
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Thanks to [@huggingface](https://github.com/huggingface) for the dataset hosting and infrastructure. |