Mobiusi/Graph-Problem-Solutions-30K

图问题解决方案数据集旨在促进图论和网络分析领域的研究与发展。该数据集包含了一系列与各种图问题相关的提示和响应，包括最大团问题、最小顶点覆盖和常见合作者识别等。数据集采用结构化的JSON格式，易于解析，确保了机器学习模型和算法测试的可使用性。改进之处包括简化响应中的推理过程以避免冗长描述，引入评分机制以评估答案的准确性和有效性，以及增加了多样的问题类型和数据样本。此数据集适合研究人员、教育工作者和实践者用来对算法进行基准测试或在图相关问题上进行模型训练。数据集仅包含样本数据，如需更多数据请访问https://www.mobiusi.com或通过[e-mail]与我们联系。

The Graph Problem Solutions Dataset aims to facilitate research and development in the field of graph theory and network analysis. This dataset contains a collection of prompts and responses related to various graph problems, including the Maximum Clique Problem, Minimum Vertex Cover, and common collaborator identification. The dataset features a structured JSON format that is easy to parse, ensuring usability for machine learning models and algorithm testing. Improvements made include simplified reasoning processes in responses to avoid lengthy descriptions, the introduction of a scoring mechanism for evaluating answer accuracy and effectiveness, and an increase in diverse problem types and data samples. This dataset is suitable for researchers, educators, and practitioners looking to benchmark algorithms or train models on graph-related problems. This dataset only contains sample data. For more data please visit https://www.mobiusi.com or contact us at [e-mail].