AIGrounding/Diagram-MMU

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams ECCV 2026 🏠 Homepage (coming soon) · 💻 Code · 📄 Paper (coming soon) Diagram-MMU is a benchmark for evaluating Multimodal Large Language Models (MLLMs) on understanding, parsing, and editing scientific diagrams. It contains 3,744 curated diagrams (each with compilable source code) and 18,305 human-validated evaluation instances across six domains (charts, planar_geometry, 3d_shapes, graph_structures, chemistry… See the full description on the dataset page: https://huggingface.co/datasets/AIGrounding/Diagram-MMU.