ZhiqiGao/Text2Opt-Bench

Text2Opt-Bench A benchmark for evaluating LLMs on operations-research optimization problems (LP, MILP, MIQP, nonlinear) with solver-verified ground truth. Text-to-optimization requires two separable capabilities — modeling (choosing the right optimization structure) and binding (grounding every coefficient, index, and parameter in the concrete problem data) — and Text2Opt-Bench is built to expose binding as the bottleneck for current LLMs. Code & evaluators:… See the full description on the dataset page: https://huggingface.co/datasets/ZhiqiGao/Text2Opt-Bench.

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