albertge/synthetic-orqa
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资源简介：
合成运筹学问题回答数据集包含946个运筹学问题，分为训练和验证两部分。总样本数为946，其中训练样本901个，是通过GPT-5和Claude Sonnet 4.5生成的合成数据；验证样本45个，是原始种子数据。该数据集的任务是运筹学推理和优化问题识别。
This dataset contains 946 Operations Research Question Answering (ORQA) problems with train/validation splits. There are a total of 946 samples, of which 901 are training samples (synthetic, generated using GPT-5 and Claude Sonnet 4.5), and 45 are validation samples (original seed data). The task is to identify operations research reasoning and optimization problems.
提供机构：
albertge
