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@@ -47,3 +47,23 @@ configs:
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  - split: val
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  path: data/val-*
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  - split: val
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  path: data/val-*
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+ # Dataset Card for svg-stack-filtered
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+ This is an attempt to replicate the dataset used for SFT in the paper
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+ [Rendering-Aware Reinforcement Learning for Vector Graphics Generation](https://huggingface.co/papers/2505.20793)
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+ Processed:
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+ - Optimized with svgo precision=2
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+ - Rasterized with cairosvg[^cairo]
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+ [^cairo] cairosvg doesn't implement all svg features, but matches how the original paper
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+ Filtered based on some heuristics:
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+ - Removed any svg that couldn't be rendered with cairosvg (~30%)
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+ - Removed solid-color images
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+ - Removed some problematic tags
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+ - Removed svgs with `<text>`
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+ - Removed svgs with embedded data url images
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+ - Removed any svgs under 100 tokens
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+ - Removed some broken svgs with nested `<svg>` tags