AI2D (often cited from the paper “A Diagram Is Worth A Dozen Images” by Kembhavi et al., arXiv:1603.07396) is a dataset of elementary-school–level science diagrams intended for diagram understanding, parsing and multi-modal reasoning. The dataset contains roughly 4.9K diagrams (reported as ~4,903 images) that have been densely annotated with their constituent elements and the semantic/structural relationships between them. The authors introduce a Diagram Parse Graph (DPG) representation to capture diagram components (e.g., diagram regions/figures, diagram text, arrows/lines) and the relations that connect them; the dataset has been used for diagram parsing, diagram question answering / visual reasoning over diagrams, and related vision–language research. The original paper (ECCV/ArXiv) describes the collection, annotation format and the DPG representation. — Key references: arXiv:1603.07396, AI2D dataset on Hugging Face (lmms-lab/ai2d).
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