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GraphOmni is a comprehensive benchmark designed to evaluate the reasoning capabilities of Large Language Models (LLMs) on graph-theoretic tasks articulated in natural language. It encompasses diverse graph types, serialization formats, and prompting schemes, providing a robust foundation for advancing research in LLM-based graph reasoning.
Supports six graph algorithm tasks:Connectivity, Bfsorder… See the full description on the dataset page:
https://huggingface.co/datasets/G-A-I/GraphOmni.
