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RoomSpace

Citation

Li, Fangjun and Hogg, David C. and Cohn, Anthony G. (2024) RoomSpace. University of Leeds. [Dataset] https://doi.org/10.5518/1518

Dataset description

This dataset, associated with the IJCAI-24 paper "Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning", aims to enhance spatial reasoning evaluations in language models. Our benchmark encompasses a broad spectrum of qualitative spatial relationships, including topological, directional, and distance relations. These are presented with different viewing points, varied granularities, and density of relation constraints to mimic real-world complexities, promoting more accurate evaluation of language models' capabilities in spatial reasoning tasks.

Keywords: qualitative spatial reasoning, evaluating language models
Divisions: Faculty of Engineering and Physical Sciences > School of Computing
Related resources:
LocationType
https://doi.org/10.48550/arXiv.2405.15064Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 05 Jun 2024 20:05
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1293

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