NLP4LP

该数据集是一个自然语言优化基准，涵盖了线性规划（LP）和混合整数线性规划（MILP）问题。数据集包含41个LP问题和11个MILP问题，每个问题都有多种视角，包括字符串表示、有效性测试、JSON格式的示例数据文件、最优值以及样本最优输出。任务是对自然语言描述的优化问题进行公式化求解。

This dataset is a natural language optimization benchmark covering linear programming (LP) and mixed-integer linear programming (MILP) problems. It includes 41 LP problems and 11 MILP problems. Each problem features multiple perspectives, including string representations, validity tests, sample data files in JSON format, optimal values, and sample optimal outputs. The task is to formulate and solve optimization problems described in natural language.

搜集汇总

背景与挑战

背景概述

NLP4LP是一个专为研究设计的优化建模数据集，与OptiMUS项目紧密相关，提供在Hugging Face平台上下载，使用CC BY NC 4.0许可，限制于非商业研究用途。