2026-10-14T06:29:41Z https://www.scidb.cn/oai

10.57760/sciencedb.space.03693 2026-06-22T09:46:47Z

2026-06-22 Deep Space Exploration Benchmark doi:10.57760/sciencedb.space.03693 en This dataset is a Chinese benchmark designed for evaluating large language models in the field of deep space exploration. It aims to assess models’ domain knowledge, professional semantic understanding, and task-scenario adaptation capabilities in deep space exploration contexts. The dataset contains 10,249 evaluation samples and covers three dimensions: professional knowledge reserve, domain-specific semantic processing, and task scenario adaptation. The evaluation tasks include factual knowledge, conceptual knowledge, procedural knowledge, named entity recognition, terminology translation, exploration method recommendation, scientific payload configuration, and payload observation window planning. This dataset can support capability evaluation, model selection, domain adaptation, and capability enhancement research for large language models in deep space exploration. Deep Space Exploration; Benchmark; Large Language Model Yanzhao Li EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank