The model exhibited severe blind spots at the intersection of public health, localized African contexts, and advanced computational math. Specifically:
Hyper-Local Context: It hallucinates generic African stereotypes when asked about specific structural drivers of HIV in Kisumu, Kenya, completely missing documented socioeconomic factors.
Interdisciplinary Math: It fails to connect Topological Data Analysis (TDA) to epidemiological data structures, confusing… See the full description on the dataset page:
https://huggingface.co/datasets/Gro97/qwen-1.5b-epi-tda-blindspots.
