Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
License:
metadata
pretty_name: GamiBench
license: mit
task_categories:
- visual-question-answering
language:
- en
GamiBench Dataset
GamiBench is a benchmark for evaluating spatial reasoning and 2D-to-3D planning in multimodal language models using origami folding tasks.
Contents
data/GamiBench/: image folders for each origami example.configs/experiments/gamibench_single.yaml: single-model evaluation config.configs/experiments/gamibench_suite.yaml: multi-model suite config.
Local Usage
Use the pipeline in the main repository to run evaluations after downloading this dataset snapshot.
Citation
@misc{spencer2025gamibenchevaluatingspatialreasoning,
title={GamiBench: Evaluating Spatial Reasoning and 2D-to-3D Planning Capabilities of MLLMs with Origami Folding Tasks},
author={Ryan Spencer and Roey Yaari and Ritvik Vemavarapu and Joyce Yang and Steven Ngo and Utkarsh Sharma},
year={2025},
eprint={2512.22207},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2512.22207},
}