---
title: GSI-Bench
emoji: 🧭
colorFrom: blue
colorTo: green
sdk: static
pinned: false
---

# GSI-Bench

Official Hugging Face organization for **GSI-Bench**, a benchmark for evaluating generative spatial intelligence in image editing models.

- Paper: [arXiv:2604.20570](https://arxiv.org/abs/2604.20570)
- Project page: https://aim-uofa.github.io/GSI-Bench/
- Code: https://github.com/aim-uofa/GSI-Bench
- Dataset: https://huggingface.co/datasets/GSI-Bench/GSI-Bench
- BAGEL reproduction artifacts: https://huggingface.co/datasets/GSI-Bench/GSI-Bench-bagel-example
- BAGEL fine-tune checkpoint: https://huggingface.co/GSI-Bench/bagel_finetune_step_10000_nocfg
- Demo: coming soon

## Resources

- **Evaluation dataset**: four official GSI-Bench archives plus a small Hugging Face Dataset Viewer preview split.
- **BAGEL artifacts**: reproduction bundle for published BAGEL results on the `fine` split.
- **Model checkpoint**: BAGEL fine-tune checkpoint for generation experiments.
- **Evaluation code**: scripts and documentation in the GitHub repository.

## Quick Start

Install the Hugging Face CLI:

```bash
pip install -U huggingface_hub
```

Download the official evaluation archives:

```bash
hf download GSI-Bench/GSI-Bench \
  fine_dataset.zip mesatask_dataset.zip bathroom_dataset.zip robothor_dataset.zip \
  --repo-type dataset --local-dir GSI-Bench
```

Download the BAGEL reproduction artifacts:

```bash
hf download GSI-Bench/GSI-Bench-bagel-example \
  --repo-type dataset --local-dir bagel_example
```