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style_completion_000
template-4
template
generation
Style Completion
{"components": [{"type": "GROUP", "left": "128.976px", "top": "416.015px", "width": "822.04665012px", "height": "247.969893px", "transform": "none", "background": "rgb(250, 250, 249)", "backgroundColor": "rgb(250, 250, 249)", "clipPath": "path(\"M5.702473848373801,5.702473848373801L2324.8197387405635,5.702473848373801L...
none
{"template_id": "010cc749-ae55-4eee-b748-cd1036ccb2f0", "context_layouts": [{"components": [{"type": "GROUP", "id": "0-0-0-0", "left": "576.8221px", "top": "149.64479999999998px", "width": "60.998144px", "height": "150.836258138px", "transform": "rotate(42.1613deg)", "background": "rgb(1, 1, 1)", "backgroundColor": "rg...
style_completion_001
template-4
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generation
Style Completion
"{\"components\": [{\"type\": \"GROUP\", \"left\": \"576.822px\", \"top\": \"149.645px\", \"width\":(...TRUNCATED)
none
"{\"template_id\": \"010cc749-ae55-4eee-b748-cd1036ccb2f0\", \"context_layouts\": [{\"components\": (...TRUNCATED)
style_completion_002
template-4
template
generation
Style Completion
"{\"components\": [{\"type\": \"IMAGE\", \"src\": \"https://storage.googleapis.com/lica-video/471e69(...TRUNCATED)
none
"{\"template_id\": \"010f7dcf-7362-484d-ab21-e22230a75cd7\", \"context_layouts\": [{\"components\": (...TRUNCATED)
style_completion_003
template-4
template
generation
Style Completion
"{\"components\": [{\"type\": \"IMAGE\", \"src\": \"https://storage.googleapis.com/lica-video/f1b3c7(...TRUNCATED)
none
"{\"template_id\": \"010f7dcf-7362-484d-ab21-e22230a75cd7\", \"context_layouts\": [{\"components\": (...TRUNCATED)
style_completion_004
template-4
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"{\"components\": [{\"type\": \"GROUP\", \"left\": \"109.333px\", \"top\": \"186.313px\", \"width\":(...TRUNCATED)
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"{\"template_id\": \"02ce2d2c-0fe8-42d5-b9a1-7e5356698a35\", \"context_layouts\": [{\"components\": (...TRUNCATED)
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"{\"components\": [{\"type\": \"GROUP\", \"id\": \"0-0-0\", \"left\": \"109.333px\", \"top\": \"181.(...TRUNCATED)
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"{\"template_id\": \"02ce2d2c-0fe8-42d5-b9a1-7e5356698a35\", \"context_layouts\": [{\"components\": (...TRUNCATED)
style_completion_006
template-4
template
generation
Style Completion
"{\"components\": [{\"type\": \"IMAGE\", \"src\": \"https://storage.googleapis.com/lica-video/d24190(...TRUNCATED)
none
"{\"template_id\": \"06d385b9-57f3-4ee2-ba52-44080ef8b5f3\", \"context_layouts\": [{\"components\": (...TRUNCATED)
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"{\"components\": [{\"type\": \"IMAGE\", \"src\": \"https://storage.googleapis.com/lica-video/f04e8a(...TRUNCATED)
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"{\"template_id\": \"06d385b9-57f3-4ee2-ba52-44080ef8b5f3\", \"context_layouts\": [{\"components\": (...TRUNCATED)
style_completion_008
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"{\"components\": [{\"type\": \"GROUP\", \"left\": \"5.68434e-13px\", \"width\": \"1920.00167171px\"(...TRUNCATED)
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"{\"template_id\": \"08c5af24-935b-4864-806d-f34563decb10\", \"context_layouts\": [{\"components\": (...TRUNCATED)
style_completion_009
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"{\"components\": [{\"type\": \"GROUP\", \"left\": \"5.68434e-13px\", \"width\": \"1920.00167171px\"(...TRUNCATED)
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"{\"template_id\": \"08c5af24-935b-4864-806d-f34563decb10\", \"context_layouts\": [{\"components\": (...TRUNCATED)
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GDB: GraphicDesignBench

39 benchmarks for evaluating vision-language models on graphic design tasks — layout, typography, SVG, template matching, animation. Built on 1,148 real design layouts from the Lica dataset.

Paper: arXiv:2604.04192  |  Code: github.com/lica-world/GDB  |  Blog: lica.world

Usage

from datasets import load_dataset

ds = load_dataset("lica-world/GDB", "svg-1")

Schema

Field Type Description
sample_id string Sample identifier
benchmark_id string e.g. svg-1, typography-3
domain string layout, typography, svg, template, temporal, category, lottie
task_type string understanding or generation
prompt string Evaluation prompt
ground_truth string Expected answer (JSON for complex types)
image Image Input image (when applicable)
metadata string Task-specific fields as JSON

Evaluation

pip install git+https://github.com/lica-world/GDB.git
from gdb.registry import BenchmarkRegistry

registry = BenchmarkRegistry()
registry.discover()
bench = registry.get("svg-1")
scores = bench.evaluate(predictions, ground_truth)

Citation

@article{gdb2026,
  title={GDB: A Real-World Benchmark for Graphic Design},
  author={Deganutti, Adrienne and Hirsch, Elad and Zhu, Haonan and Seol, Jaejung and Mehta, Purvanshi},
  journal={arXiv preprint arXiv:2604.04192},
  year={2026}
}

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