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README.md

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+---
+title: GSI-Bench
+emoji: 🧭
+colorFrom: blue
+colorTo: green
+sdk: static
+pinned: false
+---
+
 # GSI-Bench
 
-Official Hugging Face organization for **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
 
-- 📄 Paper: [arXiv link]
-- 🌐 Project Page: https://aim-uofa.github.io/GSI-Bench/
-- 💻 Code: [GitHub link]
-- 🤗 Dataset: [dataset repo link]
-- 🧠 Model: [model repo link]
-- 🚀 Demo: [space link]
+## Resources
 
-## About
+- **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.
 
-GSI-Bench is a benchmark for generative spatial intelligence.
+## Quick Start
 
-## Resources
+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:
 
-- Paper
-- Dataset
-- Evaluation code
-- Demo
+```bash
+hf download GSI-Bench/GSI-Bench-bagel-example \
+  --repo-type dataset --local-dir bagel_example
+```