Datasets:
File size: 6,198 Bytes
df6886e 50fef05 6487e68 50fef05 6487e68 50fef05 6487e68 50fef05 6487e68 7a16023 6487e68 2514050 6487e68 df6886e 50fef05 2514050 50fef05 7a16023 50fef05 8ad8b24 50fef05 8ad8b24 50fef05 7a16023 50fef05 7a16023 2514050 7a16023 50fef05 7a16023 50fef05 7a16023 50fef05 8ad8b24 50fef05 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 | ---
license: apache-2.0
task_categories:
- visual-question-answering
- image-to-text
- text-to-image
language:
- en
tags:
- benchmark
- design
- multimodal
- graphic-design
- svg
- typography
- layout
- animation
- lottie
pretty_name: "GDB: GraphicDesignBench"
size_categories:
- 1K<n<10K
configs:
- config_name: category-1
data_files:
- split: train
path: "category-1/train-*"
- config_name: category-2
data_files:
- split: train
path: "category-2/train-*"
- config_name: image-6
data_files:
- split: train
path: "image-6/train-*"
- config_name: layout-1
data_files:
- split: train
path: "layout-1/train-*"
- config_name: layout-2
data_files:
- split: train
path: "layout-2/train-*"
- config_name: layout-3
data_files:
- split: train
path: "layout-3/train-*"
- config_name: layout-4
data_files:
- split: train
path: "layout-4/train-*"
- config_name: layout-5
data_files:
- split: train
path: "layout-5/train-*"
- config_name: layout-6
data_files:
- split: train
path: "layout-6/train-*"
- config_name: layout-7
data_files:
- split: train
path: "layout-7/train-*"
- config_name: layout-8
data_files:
- split: train
path: "layout-8/train-*"
- config_name: lottie-1
data_files:
- split: train
path: "lottie-1/train-*"
- config_name: lottie-2
data_files:
- split: train
path: "lottie-2/train-*"
- config_name: svg-1
data_files:
- split: train
path: "svg-1/train-*"
- config_name: svg-2
data_files:
- split: train
path: "svg-2/train-*"
- config_name: svg-3
data_files:
- split: train
path: "svg-3/train-*"
- config_name: svg-4
data_files:
- split: train
path: "svg-4/train-*"
- config_name: svg-5
data_files:
- split: train
path: "svg-5/train-*"
- config_name: svg-6
data_files:
- split: train
path: "svg-6/train-*"
- config_name: svg-7
data_files:
- split: train
path: "svg-7/train-*"
- config_name: svg-8
data_files:
- split: train
path: "svg-8/train-*"
- config_name: template-1
data_files:
- split: train
path: "template-1/train-*"
- config_name: template-2
data_files:
- split: train
path: "template-2/train-*"
- config_name: template-3
data_files:
- split: train
path: "template-3/train-*"
- config_name: template-4
data_files:
- split: train
path: "template-4/train-*"
- config_name: template-5
data_files:
- split: train
path: "template-5/train-*"
- config_name: temporal-1
data_files:
- split: train
path: "temporal-1/train-*"
- config_name: temporal-2
data_files:
- split: train
path: "temporal-2/train-*"
- config_name: temporal-3
data_files:
- split: train
path: "temporal-3/train-*"
- config_name: temporal-4
data_files:
- split: train
path: "temporal-4/train-*"
- config_name: temporal-5
data_files:
- split: train
path: "temporal-5/train-*"
- config_name: temporal-6
data_files:
- split: train
path: "temporal-6/train-*"
- config_name: typography-1
data_files:
- split: train
path: "typography-1/train-*"
- config_name: typography-2
data_files:
- split: train
path: "typography-2/train-*"
- config_name: typography-3
data_files:
- split: train
path: "typography-3/train-*"
- config_name: typography-4
data_files:
- split: train
path: "typography-4/train-*"
- config_name: typography-5
data_files:
- split: train
path: "typography-5/train-*"
- config_name: typography-6
data_files:
- split: train
path: "typography-6/train-*"
- config_name: typography-7
data_files:
- split: train
path: "typography-7/train-*"
- config_name: typography-8
data_files:
- split: train
path: "typography-8/train-*"
---
# GDB: GraphicDesignBench
40 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](https://lica.world).
**Paper:** [arXiv:2604.04192](https://arxiv.org/abs/2604.04192) | **Code:** [github.com/lica-world/GDB](https://github.com/lica-world/GDB) | **Blog:** [lica.world](https://lica.world/blog/gdb-real-world-benchmark-for-graphic-design)
## Usage
```python
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) |
| `input_image_asset` | Image | Auxiliary source image for generation/editing tasks |
| `mask_asset` | Image | Auxiliary edit mask for generation/editing tasks |
| `ground_truth_image_asset` | Image | Auxiliary target/reference image for generation metrics |
| `metadata` | string | Task-specific fields as JSON |
## Evaluation
```bash
pip install git+https://github.com/lica-world/GDB.git
```
```python
from gdb.registry import BenchmarkRegistry
registry = BenchmarkRegistry()
registry.discover()
bench = registry.get("svg-1")
scores = bench.evaluate(predictions, ground_truth)
```
## Citation
```bibtex
@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}
}
```
Apache 2.0
|