Update README.md

README.md

@@ -19,13 +19,39 @@ dataset_info:
     sequence: image
   splits:
   - name: test
-    num_bytes: 3658370666.0
+    num_bytes: 3658370666
     num_examples: 1000
   download_size: 3621645033
-  dataset_size: 3658370666.0
+  dataset_size: 3658370666
 configs:
 - config_name: default
   data_files:
   - split: test
     path: data/test-*
+license: apache-2.0
 ---
+
+# CreatiDesign Benchmark
+
+## Overview
+
+CreatiDesign Benchmark is a comprehensive benchmark for evaluating multi-conditional graphic design generation models. It contains 1,000 carefully curated samples spanning real-world design scenarios, including movie posters, product advertisements, brand promotions, and social media content. The benchmark focuses on assessing models' fine-grained controllability over multiple heterogeneous conditions—such as primary visual elements (main images), secondary visual elements (decorative objects), and textual elements—while also measuring overall visual quality and strict adherence to user intent.
+
+## Download and Usage
+
+```python
+from datasets import load_dataset
+dataset_repo = 'HuiZhang0812/CreatiDesign_benchmark'
+test_dataset = load_dataset(dataset_path, split='test')
+```
+To evaluate your model's graphic design generation capabilities using the CreatiDesign Benchmark, please follow [CreatiDesign](https://github.com/HuiZhang0812/CreatiDesign).
+
+
+```
+@article{zhang2025creatidesign,
+  title={CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design},
+  author={Zhang, Hui and Hong, Dexiang and Yang, Maoke and Chen, Yutao and Zhang, Zhao and Shao, Jie and Wu, Xinglong and Wu, Zuxuan and Jiang, Yu-Gang},
+  journal={arXiv preprint arXiv:2505.19114},
+  year={2025}
+}
+```