This dataset expands aieng-lab/genter-ajibawa by inserting concrete names into each template.
It provides nested Hugging Face configs with 1, 2, 5, or 10 names per gender and template.
For every template sentence, names are sampled independently from NAMEXACT (matching split; frequency-weighted), using K female and K male names in config nK.
It is intended for experiments that need concrete text rather than [NAME]/[MASK] placeholders while still… See the full description on the dataset page:
https://huggingface.co/datasets/aieng-lab/genter-ajibawa-name-filled.