README.md

metadata

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.

Paper: arXiv:2605.16223 | Code: github.com/purvanshi/lica-bench

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}
}