SVG code examples and unique identifiers for training and evaluating image vectorization models. Raw XML-based vector data focuses on font representations to support typography-centric machine learning.
Use Cases
- Train generative models to output valid vector paths using the Svg column
- Evaluate image-to-SVG conversion models by using the Svg field as a ground truth reference
- Analyze font geometry patterns by parsing the XML structures found in the Svg data
- Fine-tune large language models on structured SVG syntax for font reconstruction using the Svg column
Strengths
- Includes raw SVG code strings within the Svg column
- Features a Filename field acting as a unique identifier for each vector asset
- Provides data in a format compatible with the Hugging Face datasets library for image vectorization