Dataset · Hugging Face

FForty7/svg-benchmark

Name: svg-benchmark
Creator: FForty7
License: cc-by-4.0
Keywords: task_categories:text-to-image, task_categories:image-classification, task_categories:reinforcement-learning, language:en, license:cc-by-4.0, size_categories:100K<n<1M, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us

Rapidata Static SVG Generation Benchmark Built by Rapidata. This dataset contains 1,355,161 human responses, collected with the Rapidata Python SDK, comparing how well 30 frontier LLMs generate static SVGs from text prompts. Each row is a head-to-head comparison between two models' renders of the same prompt, scored by human annotators on one of three questions (Preference, Coherence, Alignment). The SVGs are produced as raw <svg> markup by the models, rasterized to 768×768 PNGs… See the full description on the dataset page: https://huggingface.co/datasets/FForty7/svg-benchmark.

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Author / organization	FForty7
License (as declared)	cc-by-4.0
Downloads	132 (as reported by Hugging Face)
Likes	1
Created	27 June 2026
Last updated at source	27 June 2026

SVGvector-graphicscode-generationtext-to-svgHumanPreferenceAlignmentCoherencerapidatabenchmarkllm-evaluation

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