GoodAIResearch/GraphOmni-anon
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资源简介：
GraphOmni数据集为评估大型语言模型在图问题上的推理能力提供了一个统一的管道。它支持六种图算法任务，包括连通性、广度优先搜索顺序、三角形、直径、环和最短路径。数据集设计用于基准测试LLM在涉及结构化数据（图）的图任务上的推理能力。
The GraphOmni dataset provides a unified pipeline to evaluate large language models (LLMs) on graph problems. It supports six graph algorithm tasks including Connectivity, Bfsorder, Triangle, Diameter, Cycle, and Shortest path. The dataset is designed to benchmark LLM reasoning ability on graph tasks involving structured data (graphs).
提供机构：
GoodAIResearch
