---
language: fr
license: mit
task_categories:
- token-classification
tags:
- ner
- french
- burkina-faso
- bio-tagging
---

# BF_NER Training Datasets

BIO-tagged training data for the [BF_NER model](https://huggingface.co/CharlesAbdoulaye/BF_NER).

## Dataset Description

This dataset contains 86,252 sentences with BIO tags for geographic Named Entity Recognition in French, specifically for Burkina Faso administrative entities.

### Splits

| Split | Sentences | Description |
|-------|-----------|-------------|
| Train | 59,900 | Training set |
| Validation | 14,758 | Validation set for hyperparameter tuning |
| Test | 11,594 | Held-out test set with ~20% unseen entities |

### Entity Types

- `country`: Country-level entities
- `region`: 13 regions of Burkina Faso
- `province`: 45 provinces
- `departement`: 351 departments
- `village`: 7,936 villages

### Data Format

Each JSON file contains a list of examples with:
- `tokens`: List of word tokens
- `tags`: List of BIO tags (B-{type}, I-{type}, O)

Example:
```json
{
  "tokens": ["Les", "inondations", "touchent", "Ouagadougou"],
  "tags": ["O", "O", "O", "B-departement"]
}
```

## Citation

```bibtex
}
```

## License

MIT License