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  We introduce SVGenius, the first large-scale complexity-stratified benchmark accessing (M)LLMs capabilities across three progressive dimensions: **Understanding** (perceptua and semantic QA), **Editing** (bug fixing, code optimization, style editing), and **Generation** (text-to-SVG, image-to-SVG, style transfer). Built on real-world data from **24** application domains with systematic complexity stratification, SVGenius evaluates models through **8** task categories and **18** metrics. We assess **22** mainstream models spanning different scales, architectures, training paradigms, and accessibility levels.
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- <!-- <img src="docs/static/images/overview.jpg" width="100%"/> -->
 
 
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  The dataset contains the following fields:
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  | Field Name | Description |
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  | `filename` | Original filename of the SVG file, preserving the source naming convention with category and identifier information |
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  | `difficulty` | Complexity level of the SVG icon, includes 3 distinct categories: `easy`, `medium`, and `hard` for evaluating different levels of SVG processing capabilities |
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  | `svg_code` | Complete SVG markup code containing the vector graphics definition, including all paths,styles, and attributes |
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  - **Language(s) (NLP):** en, zh
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  - **License:** mit
 
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  We introduce SVGenius, the first large-scale complexity-stratified benchmark accessing (M)LLMs capabilities across three progressive dimensions: **Understanding** (perceptua and semantic QA), **Editing** (bug fixing, code optimization, style editing), and **Generation** (text-to-SVG, image-to-SVG, style transfer). Built on real-world data from **24** application domains with systematic complexity stratification, SVGenius evaluates models through **8** task categories and **18** metrics. We assess **22** mainstream models spanning different scales, architectures, training paradigms, and accessibility levels.
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+ <img alt="SVGenius Dataset Overview"
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+ src="https://cdn.jsdelivr.net/gh/ZJU-REAL/SVGenius@main/docs/static/images/overview.jpg"
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+ style="width: 100%; max-width: 1000px;" />
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  The dataset contains the following fields:
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  | Field Name | Description |
 
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  | `filename` | Original filename of the SVG file, preserving the source naming convention with category and identifier information |
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  | `difficulty` | Complexity level of the SVG icon, includes 3 distinct categories: `easy`, `medium`, and `hard` for evaluating different levels of SVG processing capabilities |
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  | `svg_code` | Complete SVG markup code containing the vector graphics definition, including all paths,styles, and attributes |
 
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  - **Language(s) (NLP):** en, zh
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  - **License:** mit