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.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face