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prquan/STARK_1k

Benchmarking Spatiotemporal Reasoning in Large Language Models: Capabilities and Challenges Dataset for our paper: Benchmarking Spatiotemporal Reasoning in Large Language Models: Capabilities and Challenges Contact Information If you have any questions or feedback, feel free to reach out: Name: Pengrui Quan Email: [email protected] License Copyright (c) 2025, UCLA Networked and Embedded Systems Laboratory (NESL) All rights reserved. Redistribution… See the full description on the dataset page: https://huggingface.co/datasets/prquan/STARK_1k.

Author / organizationprquan
License (as declared)bsd-3-clause
Downloads185 (as reported by Hugging Face)
Likes0
Created15 May 2025
Last updated at source26 November 2025
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  • 17 Oct 2026 Description: Benchmarking Spatiotemporal Reasoning in Large Language Models: Capabilities and Challenges Dataset for our paper: Benchmarking Spatiotemporal Reasoning in Large Language Models: Capabilities and Challenges Contact Information If you have a → Benchmarking Spatiotemporal Reasoning in Large Language Models: Capabilities and Challenges Dataset for our paper: Benchmarking Spatiotemporal Reasoning in Large Language Models: Capabilities and Challenges Contact Information If you have a

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