datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
openart-items-artifacts
OpenArt — Items & Artifacts
openart-items-artifacts is the items artifacts subject collection of the OpenArt family
of open, public-domain art datasets: 25,750 works (11,317 paintings/illustrations · 14,216
photographed objects · 217 unclassified), each paired with a structured VLM caption plus
medium, attribution and inscription metadata.
Human-made objects and the decorative arts — vessels, tools, arms and armor, textiles, furniture and ornament — both as physical artifacts… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openart-items-artifacts.openbrush-religious-art
OpenBrush Religious Art
Religious paintings from OpenBrush-75K — saints, biblical scenes, devotional works.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 6,119 you actually want.
Why this subset
A coherent visual genre: religious narrative painting from medieval through early modern. Heavy on Renaissance and Baroque eras. Common… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-religious-art.womens-fashion-catalog
Livostyle Women's Fashion Catalog — Open Data
Open, machine-readable, weekly-updated catalog of 2,766+ curated women's fashion
products from Livostyle.com — a US DTC retailer
(Arcada LLC, Delaware). Free under MIT license for AI/LLM training,
recommender systems, fashion NLP research, and multimodal learning.
TL;DR
from datasets import load_dataset
ds = load_dataset("arturayupov/womens-fashion-catalog")
# ds["products"] → 2,766 products
# ds["images"] → 12,978… See the full description on the dataset page: https://huggingface.co/datasets/arturayupov/womens-fashion-catalog.vintage-artworks-60k-captionedThis is a dataset consisting of 60k vintage artworks from the 20th century, consisting of vintage pulp, sci-fi and pinup artworks from that era.
The dataset has short and long captions for each image, as well as resolution information. The large captions (large_caption column) were made with florence-2-large-ft, and then shortened with llama 3 8b (see short_caption column).