Introduces WBCMor VQA benchmark with 110K bilingual QA pairs for hematology VQA on 20K cell images using existing annotations and a new Urdu dictionary.
arXiv preprint arXiv:2511.04727 , year=
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Multilingual Hematology Visual Question Answering Dataset
Introduces WBCMor VQA benchmark with 110K bilingual QA pairs for hematology VQA on 20K cell images using existing annotations and a new Urdu dictionary.