pretty\name: TopoGraphRAG-Bench task\categories: - question-answering - benchmark - multimodal - document-question-answering - retrieval-augmented-generation - graph-rag - text - github.io/TopoGraphRAG-Bench/) | Code | Case Study TopoGraphRAG-Bench is a benchmark for layout-grounded multimodal evidence reasoning in GraphRAG. It contains 2,024 question–answer pairs over 201 long documents sampled from MMDocIR (https://huggingface.co/datasets/MMDocIR/MMDocIR\Eval\Dataset), spanning nine domains, including academic papers, legal documents, research reports, and financial reports. Each document averages approximately 45 pages and 13,000 words, with evidence grounded in text, figures, and tables…
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