Research Data Leeds Repository
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: |
|
||||
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 | ||||