prquan/STARK_10k
STARK: Spatial-Temporal reAsoning benchmaRK STARK is a comprehensive benchmark designed to systematically evaluate large language models (LLMs) and large reasoning models (LRMs) on spatial-temporal reasoning tasks, particularly for applications in cyber-physical systems (CPS) such as robotics, autonomous vehicles, and smart city infrastructure. Dataset Summary Hierarchical Benchmark: Tasks are structured across three levels of reasoning complexity: State… See the full description on the dataset page: https://huggingface.co/datasets/prquan/STARK_10k.
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