98,656 first-person symptom descriptions in Twi, each labelled with one
fine-grained English phrase naming the presenting problem, grounded in
36,565 passages of real Twi health speech.
Every row is what a patient might say when a nurse asks what is wrong -- in Twi,
in the spoken register -- paired with a single English phrase a health worker can
read at a glance to see exactly what the issue is.… See the full description on the dataset page:
https://huggingface.co/datasets/ghananlpcommunity/ghana-health-symptoms.
