| --- |
| license: apache-2.0 |
| task_categories: |
| - text-to-video |
| language: |
| - en |
| tags: |
| - benchmark |
| - design |
| - multimodal |
| - graphic-design |
| - animation |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: reference |
| data_files: |
| - split: full_layout |
| path: all_full_layout/renders/** |
| - split: single_components |
| path: all_single_components/renders/** |
| - config_name: sora2 |
| data_files: |
| - split: full_layout |
| path: generated_videos/sora2/full_layout/** |
| - split: single_components |
| path: generated_videos/sora2/single_components/** |
| - config_name: veo31 |
| data_files: |
| - split: full_layout |
| path: generated_videos/veo3.1/full_layout/** |
| - split: single_components |
| path: generated_videos/veo3.1/single_components/** |
| --- |
| # GDBench-Video: Evaluating Design Video Generation |
|
|
| Benchmark for evaluating video generation models on graphic design videos. Built on 136 real animated design layouts from the [Lica dataset](https://lica.world/). |
|
|
| **Paper: [arXiv:2605.16223](https://arxiv.org/pdf/2605.16223) | Code: [github.com/purvanshi/lica-bench](https://github.com/purvanshi/lica-bench/tree/main/scripts/motion_gen_eval)** |
|
|
|
|
| ## Usage |
| ``` |
| from datasets import load_dataset |
| |
| ds = load_dataset("lica-world/GDB-video") |
| ``` |
|
|
| ## Citation |
| ``` |
| @article{deganutti2026evaluating, |
| title={Evaluating Design Video Generation: Metrics for Compositional Fidelity}, |
| author={Deganutti, Adrienne and Cao, Dingning and Seol, Jaejung and Hirsch, Elad and Mehta, Purvanshi}, |
| journal={arXiv preprint arXiv:2605.16223}, |
| year={2026} |
| } |
| ``` |