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SVGEdit 🖋️
SVGEdit is a training dataset for evaluating Large Language Models (LLMs) on vector graphic editing tasks.
📦 Dataset Overview
This dataset consists of six SVG editing tasks, each located in its own folder:
1_ChangeColor2_SetContour3_Compression4_UpSideDown5_Transparency6_CropToHalf
Each task folder contains two subfolders:
query/: contains input prompts for the LLMs, each with the original SVG code (before editing).answer/: contains the ground truth answer images after performing the required SVG editing operation.
🧪 How It Was Created
We selected 20,000 SVG images from the svgedit-500k-instruct dataset. Each image was automatically modified to produce the expected output corresponding to one of the six editing tasks.
📝 License
This dataset is released under the MIT License. See the LICENSE file for more information.
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