datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
icongenai-svg-captions
IconGenAI SVG Captions
Captioned SVG icons from the Iconify corpus, intended for fine-tuning text-to-SVG generation models.
Part of the IconGenAI research project.
Files
Two files are provided at different stages of the processing pipeline:
File
Records
Purpose
icons_captioned_merged.jsonl
275,912
Full license-filtered corpus with VLM-generated captions and collection metadata
icons_training_captioned.jsonl227,821
Quality-filtered, normalised subset… See the full description on the dataset page: https://huggingface.co/datasets/yauheniya-adesso/icongenai-svg-captions.pelican-svg-drawings
Pelican SVG: frontier model drawings, scored
139 SVGs produced by seven frontier models answering Simon Willison's prompt,
"generate an SVG of a pelican riding a bicycle", each with the score the
pelican_svg_env
OpenEnv environment gave it. Four of the seven are open weights and three are closed.
Simon has run that prompt against nearly every model release since early 2025, but the
results live as embedded images across 129 blog posts and scattered gists. This dataset
exists… See the full description on the dataset page: https://huggingface.co/datasets/sergiopaniego/pelican-svg-drawings.pokemon-llm-svg-bench-results
Pokémon LLM SVG Bench (V1.1)
This is a snapshot of scored SVG drawings from the Pokémon LLM SVG Bench — LLMs try to draw Pokémon in SVG, and we score the results. Prefer reading the live site for context; for scoring rules and methodology, see About.
Unofficial fan / research project. Pokémon images are copyrighted by The Pokémon Company and related companies involved in developing, operating, and managing the Pokémon series. Pokémon descriptions are sourced from… See the full description on the dataset page: https://huggingface.co/datasets/haxfenx/pokemon-llm-svg-bench-results.svg
Synthetic Visual Genome (SVG) Datasets
This repository contains two complementary datasets for VLMs on scene graph understanding and dense visual relationships.
🔗 Related Resources
Training Code: SyntheticVG Repository
Model Checkpoints: ROBIN-3b
Paper: arxiv
Demo: Coming soon
🚀 Quick Start
# For SVG-Relations dataset
import pandas as pd
df =… See the full description on the dataset page: https://huggingface.co/datasets/jamepark3922/svg.Semantic-SVG-Benchmark
Semantic SVG Benchmark
A benchmark of 203 SVG files annotated with human-written semantic object-decomposition trees:
every rendered shape (<path>, <rect>, <circle>, …) in each SVG is assigned to a named semantic
object (e.g. judge, gavel), and objects may be further decomposed into parts
(e.g. Bamboo planter → pot, bamboo). It is the evaluation benchmark of
Compositional SVG Generation via VLM-Driven Hierarchical Semantic Parsing
(EMNLP 2026). The annotations are ours; the SVGs… See the full description on the dataset page: https://huggingface.co/datasets/KU-MIIL/Semantic-SVG-Benchmark.soccer-dataset
Global Football (Soccer) Data Lake
Cleaned, deduplicated, quality-gated football match data for BTTS / goals modelling.
Sources: API-Football + football-data.co.uk. Pipeline & docs:
https://github.com/eatpizzanot/soccer-dataset
673,966 fixtures (644,901 played), 271 leagues,
11,104 teams, 2008-06-07 - 2027-06-06.
BTTS base rate 0.5063. xG fake-zeros removed; known_at leakage guard;
12-dimension QA gate (QUALITY_REPORT.md).
Caveats: league history is uneven — check… See the full description on the dataset page: https://huggingface.co/datasets/svgwvgs/soccer-dataset.UAV-SVGsvg-clip-dpo-preferencessvg-scaling-v1-clean