NaijaWeb Quality Classifier
A binary text-quality classifier (keep/drop) for Hausa, Igbo, and Yoruba web text,
fine-tuned from Davlan/afro-xlmr-base for filtering CommonCrawl pretraining data.
Training data
Trained on paid, agreement-audited human annotations from
idealab-cs2/naijaweb-annotations-trained.
Evaluation (internal held-out split, host-balanced)
| Metric | Score |
|---|---|
| Accuracy | 0.713 |
| F1 | 0.752 |
| Precision | 0.670 |
| Recall | 0.855 |
Note: provided test split numbers are known to be host-skewed (see dataset card)
and reported separately as diagnostic only.
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Model tree for lanretto/naijaweb-quality-classifier
Base model
Davlan/afro-xlmr-base