---
license: cc-by-4.0
task_categories:
- image-to-text
- text-to-image
language:
- en
- ja
pretty_name: Art Museums PD 440K
tags:
- legal
size_categories:
- 100K<n<1M
---
# Art Museums PD 440K

![ArtMuseumsPD](ArtMuseumsPD.jpg)

# Summary
This is a dataset to train text-to-image or any text and image multimodal models with minimized copyright/licensing concerns.
All images and texts in this dataset are orignally shared under CC0 or public domain, and no pretrained models or any AI models are used to build this dataset except for our [ElanMT model](https://huggingface.co/Mitsua/elan-mt-bt-en-ja) to translate English captions to Japanese.
ElanMT model is trained solely on licensed corpus.

# Data sources
Images and metadata collected from these museums open access. All images and metadata are shared under CC0 or Public Domain. We created image caption only from these metadata.
- [Smithsonian Open Access](https://www.si.edu/openaccess) (CC0)
- [The Metropolitan Museum of Art Open Access](https://github.com/metmuseum/openaccess) (CC0)
- [The Cleveland Museum of Art Open Access](https://github.com/ClevelandMuseumArt/openaccess) (CC0)
- [The Art Institute of Chicago Open Access](https://www.artic.edu/open-access/open-access-images) (CC0)
- Curated by ELAN MITSUA Project / Abstract Engine.

# Filtering
- Word based pre-filtering is conducted for mitigating harmful or NSFW content.

# License
- The images and original metadata are licensed under CC0 by these museums.
- The dataset itself and compiled/translated captions are licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) by [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine.
- This means you can use, adapt and redistribute this dataset **as long as you give appropriate credit**.