GraSP
收藏arXiv2025-09-30 收录
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https://github.com/bcv-uniandes/grasp/tree/main
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资源简介:
该数据集是一个大规模的基准测试,包含了16,000个基于网格的环境,旨在评估常识性空间推理能力,重点关注能源收集问题。该基准测试涵盖了各种网格设置、能源分布、代理起始位置、障碍物配置以及代理的限制条件。规模上,它包含了16,000个网格实例,任务聚焦于常识性空间推理。
This dataset is a large-scale benchmark containing 16,000 grid-based environments, designed to evaluate commonsense spatial reasoning abilities with a focus on energy collection problems. This benchmark covers diverse grid setups, energy distributions, agent starting positions, obstacle configurations, and agent constraints. At scale, it includes 16,000 grid instances, with tasks centered on commonsense spatial reasoning.
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