jaddai/openbrush-renaissance

OpenBrush Renaissance

Renaissance works from OpenBrush-75K, combining Northern, Early, High, and Mannerism Late Renaissance into one period subset.

Curated subset of jaddai/openbrush-75k. Same MIT 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 6,565 you actually want.

Why this subset

Combined Renaissance period subset spanning ~1300–1600. Heavy on religious painting, portraits, and mythological scenes. Useful for old-master aesthetic training without the broader 'Realism' bucket dilution.

Filter equivalent on parent: style in {"Northern Renaissance", "Early Renaissance", "High Renaissance", "Mannerism Late Renaissance"}

Statistics

• Total images: 6,565
• Source: OpenBrush-75K v1.1 (filtered)
• License: MIT
• Caption schema: v2 structured (TAGS / SUBJECT / ACTION / SETTING / MOOD / STYLE / LIGHTING / COLOR / COMPOSITION)

Composition

• Northern Renaissance: 2,552
• Early Renaissance: 1,391
• High Renaissance: 1,343
• Mannerism Late Renaissance: 1,279

Caption schema

Same as the parent. Each row has caption_full plus 9 individual fields:

**TAGS:** comma-separated standardized descriptive tags
**SUBJECT:** Description of the main subject
**ACTION:** Movement, gesture, what is happening
**SETTING:** Environment and context
**MOOD:** Emotional tone and atmosphere
**STYLE:** Artistic technique and stylistic analysis
**LIGHTING:** Direction, quality, temperature
**COLOR:** Palette and color relationships
**COMPOSITION:** Framing, balance, focal points

Schema

Field	Type	Description
id	string	Unique identifier
image	Image	The artwork (PNG bytes)
width	int	Image width in pixels
height	int	Image height in pixels
artist	string	Artist name
style	string	Art movement/style
genre	string	Genre
tags	list[string]	Standardized descriptive tags
subject, action, setting, mood, style_description, lighting, color, composition	string	Per-aspect caption fields
caption_full	string	Full structured caption
source_file	string	Original filename

Loading

from datasets import load_dataset

dataset = load_dataset("jaddai/openbrush-renaissance")
print(len(dataset["train"]))  # 6,565

example = dataset["train"][0]
print(example["caption_full"])

Relationship to the parent dataset

This is a filtered slice of jaddai/openbrush-75k v1.1. All images, captions, and metadata are identical to those in the parent — no recaptioning or modification.

If you want the complete OpenBrush corpus (75,313 paintings), use the parent. If you want just this slice, use this subset to save bandwidth and disk.

Sibling subsets

• openbrush-van-gogh
• openbrush-monet
• openbrush-renoir
• openbrush-rembrandt
• openbrush-impressionism
• openbrush-renaissance
• openbrush-ukiyo-e
• openbrush-baroque
• openbrush-landscapes
• openbrush-portraits
• openbrush-religious-art
• openbrush-anonymous-masters
• openbrush-impressionist-landscapes

License

MIT. Underlying artworks are public domain (all artists died before 1954). Structured captions are original works released under MIT.

Citation

@dataset{openbrush_openbrush_renaissance,
  title={OpenBrush Renaissance},
  author={jaddai},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/jaddai/openbrush-renaissance},
  note={Curated subset of openbrush-75k}
}

Acknowledgments

• Original artwork images derived from public domain art collections
• Captions generated using Qwen3-VL-30B-A3B
• Tag standardization assisted by LLM-based semantic mapping