Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
License:
| 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 | |
| ```bibtex | |
| @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}, | |
| } | |
| ``` | |