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.
| Author / organization | prquan |
|---|---|
| License (as declared) | bsd-3-clause |
| Downloads | 2.2K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 15 May 2025 |
| Last updated at source | 14 October 2025 |
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- 17 Oct 2026 Description: 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 applicat → 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 applicat
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- prquan/STARK_1kDataset
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