datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
svg-animal-illustrations
SVG Pet Illustrations Dataset
A dataset of 1,416 prompt-SVG pairs for training text-to-SVG generation models, with a focus on cute animal illustrations.
Dataset Description
This dataset contains text prompts paired with their corresponding SVG code, designed for training models to generate vector graphics from natural language descriptions.
Dataset Statistics
Total examples: 1,416
Format: JSONL (JSON Lines)
Fields: prompt, svg
Content
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/yoavf/svg-animal-illustrations.svgen_500k_rasterized_jsonified_uuided
SVGEN RJU - SVGEN 500k: Rasterized, JSONified, UUID'ed
I have selected every svg image from svgen that would rasterize under cairosvg, which is significantly less than a 1% failure rate. Under development.
Reasoning
This is the 1st of many SVG datasets I am collecting, extracting, and rasterizing in an attempt to produce a meaningfully helpful spatial reasoning and vertex manipulation model.
Usage
The rasterized images are in PNG format, as bytes. They may be… See the full description on the dataset page: https://huggingface.co/datasets/MrOvkill/svgen_500k_rasterized_jsonified_uuided.svgen-500k-instruct
SVGen Vector Images Dataset Instruct Version
Overview
SVGen is a comprehensive dataset containing 300,000 SVG vector codes from a diverse set of sources including SVG-Repo, Noto Emoji, and InstructSVG. The dataset aims to provide a wide range of SVG files suitable for various applications including web development, design, and machine learning research.
Data Fields
{
"text": "<s>[INST] Icon of Look Up here are the inputs Look Up [/INST] \\n <?xml… See the full description on the dataset page: https://huggingface.co/datasets/umuthopeyildirim/svgen-500k-instruct.deepseek-svg-description
SVG Reasoning and Generation Dataset
A rich dataset containing SVG graphics, structured reasoning, and generated descriptions.Built from the base of thesantatitan/deepseek-svg-dataset but enhanced with separated SVG codes and detailed reasoning-based descriptions.
Description Generation Process
The dataset has been enhanced by using the reasoning part from the original completion to generate longer, detailed descriptions. The SVG code part of the completion is ignored… See the full description on the dataset page: https://huggingface.co/datasets/ShahzebKhoso/deepseek-svg-description.diverse-svg-prompts
Diverse SVG Prompts
Diverse SVG Prompts is a public collection of 20,000 high-quality,
generated and filtered English briefs for SVG and vector-graphics generation.
It contains 18,000 general illustration prompts and 2,000 lettering prompts.
Schema
The dataset intentionally has only two columns:
prompt: the complete visual brief.
type_tags: a list of category, author-model, and processing tags.
Example:
{
"prompt": "A moonlit mechanical heron..."… See the full description on the dataset page: https://huggingface.co/datasets/Nbardy/diverse-svg-prompts.svgen-500k
SVGen Vector Images Dataset
Overview
SVGen is a comprehensive dataset containing 300,000 SVG vector codes from a diverse set of sources including SVG-Repo, Noto Emoji, and InstructSVG. The dataset aims to provide a wide range of SVG files suitable for various applications including web development, design, and machine learning research.
Data Fields
input: The name or label of the SVG item
output: SVG code containing the vector representation
description: Brief… See the full description on the dataset page: https://huggingface.co/datasets/umuthopeyildirim/svgen-500k.svg-multimodal-rubrics
SVG Multimodal Rubrics
A multimodal dataset of SVG code generation samples with natural language descriptions and evaluation rubrics. Each sample pairs a detailed prompt (Markdown) with its corresponding SVG source code, covering animations, 3D scenes, games, and visual effects.
Designed for training and evaluating models on visual code generation — generating complex, interactive SVG artwork from natural language descriptions.
Overview
Item
Details
Samples… See the full description on the dataset page: https://huggingface.co/datasets/obaydata/svg-multimodal-rubrics.svg-chart-render-v1
SVG Chart Render Mix v1
Training data for fine-tuning a small code model (DeepSeek Coder 1.3B)
to map (chart specification JSON) to inline SVG code.
Part of the SQL Agent LLMOps project.
Total
Sources
Input
Output
~25,000 rows
2
structured JSON chart spec
rendered SVG string
Part of the SQL Agent LLMOps project
Dataset
Model
Role
DanielRegaladoCardoso/text-to-sql-mix-v2
Qwen 2.5 Coder 7B
NL question to SQL… See the full description on the dataset page: https://huggingface.co/datasets/DanielRegaladoCardoso/svg-chart-render-v1.svg-code-generationThis training data was generated using GPT-4o/Gemini-2o as part of the 'Drawing with LLM' competition (https://www.kaggle.com/competitions/drawing-with-llms).
It can be used to fine-tune small language models for the competition or serve as an augmentation dataset alongside other data sources.
The dataset is generated in two steps using the GPT-4o model.
In the first step, topic descriptions relevant to the competition are generated using a specific prompt.
By running this prompt multiple… See the full description on the dataset page: https://huggingface.co/datasets/vinoku89/svg-code-generation.svg
Text-to-SVG
A dataset of natural-language descriptions paired with SVG code, for training
models that generate vector graphics from text prompts. Each example maps a
short description (e.g. "Abstract geometric pattern in teal and orange") to a
complete, renderable <svg>...</svg> document.
Used to fine-tune omeryentur/svg-model
(a Gemma-3 based text-to-SVG generator), with a live demo at
omeryentur/svg.
Dataset structure
Field
Type
Description… See the full description on the dataset page: https://huggingface.co/datasets/omeryentur/svg.svg-chart-training-data
svg-chart-training-data
915 training examples for SVG business chart generation, across 12 chart types.
Generated using gemma3:12b via Ollama, validated through a 3-gate pipeline (extract → XML parse → coordinate bounds), and used to fine-tune per-type LoRA adapters on Gemma 3 12B via MLX.
Schema
Each line is a JSON object with two fields:
{
"input": {
"chart_type": "bar",
"heading": "Quarterly Revenue ($M)",
"value_format": "dollar",
"data_points":… See the full description on the dataset page: https://huggingface.co/datasets/John-Williams-ATL/svg-chart-training-data.