Dataset Groups Activity Stream FVQA FVQA is a fact-based visual question answering dataset, containing 2190 images and 5826 (question, answer) pairs, with supporting facts selected from knowledge bases. BibTex: @dataset{Wang_et_al_2024, abstract = {FVQA is a fact-based visual question answering dataset, containing 2190 images and 5826 (question, answer) pairs, with supporting facts selected from knowledge bases.}, author = {Wang et al.}, doi = {10.57702/ovvtiz08}, institution = {No Organization}, keyword = {'External Knowledge', 'Fact-based Question Answering', 'Knowledge Graphs', 'Question Answering', 'Visual Question Answering', 'fact-based visual question answering', 'knowledge graph', 'question and answer pairs'}, month = {dec}, publisher = {TIB}, title = {FVQA}, url = {https://service.tib.eu/ldmservice/dataset/fvqa}, year = {2024} }
