CharlesAbdoulaye/BF_NER_datasets

BF_NER Training Datasets

BIO-tagged training data for the BF_NER model.

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:

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

Citation

}

License

MIT License