Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
License:
File size: 1,083 Bytes
84e73a7 923f019 84e73a7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
---
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},
}
```
|