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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