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README.md

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+---
+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
+- text-classification-other
+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
+    - name: window_index
+      dtype: int64
+
+  config_name: default
+  splits:
+  - name: train
+    num_bytes: ???
+    num_examples: ???
+
+  download_size: ???
+  dataset_size: ???
+
+---
+
+# Dataset Card for French Legal Cases Dataset
+
+## Dataset Description
+
+- **Homepage:** [https://huggingface.co/datasets/la-mousse/combined-fe-caselaw](https://huggingface.co/datasets/la-mousse/combined-fe-caselaw)
+- **Repository:** [https://huggingface.co/datasets/la-mousse/combined-fe-caselaw](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:
+```python
+{
+    '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](https://github.com/huggingface) for the dataset hosting and infrastructure.