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jaddai/openbrush-impressionist-landscapes

OpenBrush Impressionist Landscapes Cross-cut subset: Impressionist landscape paintings from OpenBrush-75K. The most-targeted style+genre combination for Impressionist landscape LoRA training. 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 4,308 you actually want. Why this subset The intersection of the largest movement… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-impressionist-landscapes.

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Dataset Card

OpenBrush Impressionist Landscapes

Cross-cut subset: Impressionist landscape paintings from OpenBrush-75K. The most-targeted style+genre combination for Impressionist landscape LoRA training.

Curated subset of [jaddai/openbrush](https://huggingface.co/datasets/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 4,308 you actually want.

Why this subset

The intersection of the largest movement (Impressionism) and the largest genre (landscape). Heavy on Monet, Pissarro, Sisley, Renoir, Boudin, Hassam. Surgical training on the canonical Impressionist landscape aesthetic — no portraits, no genre scenes, no non-Impressionist landscapes.

Filter equivalent on parent: style == "Impressionism" AND genre == "landscape"

Statistics

—Total images: 4,308
—Source: OpenBrush-75K v1.1 (filtered)
—License: CC0 1.0
—Caption schema: v2 structured (TAGS / SUBJECT / ACTION / SETTING / MOOD / STYLE / LIGHTING / COLOR / COMPOSITION)

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

python

from datasets import load_dataset

dataset = load_dataset("jaddai/openbrush-impressionist-landscapes")
print(len(dataset["train"]))  # 4,308

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

Relationship to the parent dataset

This is a filtered slice of jaddai/openbrush 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

Related datasets

Part of the OpenArt family of open, public-domain art datasets — the whole family is CC0-1.0 (public-domain dedication, no rights reserved; citation appreciated, not required). License shown beside each name for clarity.

OpenBrush — 2-D fine art (paintings, prints, drawings), WikiArt-sourced (curated public domain), CC0:

—openbrush — flagship — 75,313 public-domain paintings · CC0
—openbrush-anonymous-masters — unattributed old masters · CC0
—openbrush-impressionism — Impressionist movement · CC0
—openbrush-landscapes — landscape genre · CC0
—openbrush-portraits — portrait genre · CC0
—openbrush-religious-art — religious / biblical · CC0
—openbrush-renaissance — Renaissance period · CC0
—openbrush-baroque — Baroque period · CC0
—openbrush-van-gogh — Vincent van Gogh · CC0
—openbrush-ukiyo-e — Japanese woodblock prints · CC0
—openbrush-monet — Claude Monet · CC0
—openbrush-rembrandt — Rembrandt · CC0
—openbrush-renoir — Pierre-Auguste Renoir · CC0

OpenArt — mixed-medium subject collections (paintings + photographed objects), museum/library-sourced, CC0:

—openart-animals — animals & the natural world · CC0
—openart-items-artifacts — human-made objects & decorative arts · CC0
—openart-mythic-creatures — mythological & fantastical beings · CC0
—openart-painterly-foundations — painting-forward fine-art core · CC0
—openart-portraits-classical — the human figure & portraiture · CC0

Feedback & collaboration

I'm always open to feedback and to suggestions for other datasets worth publishing — open a discussion on this repo or reach out on the Hub. I'm also open to collaborations with others in the community.

License

CC0 1.0 (public-domain dedication). Underlying artworks are public domain (all artists died before 1954); the structured captions are released under CC0. No rights reserved — citation appreciated but not required.

Citation

bibtex

@dataset{openbrush_openbrush_impressionist_landscapes,
  title={OpenBrush Impressionist Landscapes},
  author={jaddai},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/jaddai/openbrush-impressionist-landscapes},
  note={Curated subset of jaddai/openbrush}
}

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