museums
Datasets
All datasets matching “museums”art-museums-pd-440k
Art Museums PD 440K
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 to translate English captions to Japanese.
ElanMT model is trained solely on licensed corpus.
Data sources
Images and… See the full description on the dataset page: https://huggingface.co/datasets/Mitsua/art-museums-pd-440k.museums-open-italy
Museums Open — Italy 2026 Q2
Registry of Italian museums and galleries derived from OpenStreetMap (ODbL-1.0) and enriched with Wikidata (CC0) identifiers. First iteration of the Museums Open index; v2.0 will add MiC accessibility data and the UK + France extension.
Registro di musei e gallerie italiani derivato da OpenStreetMap (ODbL-1.0) e arricchito con gli identificatori Wikidata (CC0). Prima iterazione del dataset Museums Open; v2.0 aggiungerà i dati MiC di accessibilità e… See the full description on the dataset page: https://huggingface.co/datasets/FedCal/museums-open-italy.Museum-Scan-Intake
Museum Scan Intake
Digitization packages awaiting a portal-routing decision.
Intake status: frozen
Package register
package_id
batch
rights_code
rights_checked
privacy_flag
assessed_on
files
MU-120
scan-a
CC BY 4.0
yes
clear
2025-02-10
70
MU-210
scan-b
PDM-1.0
yes
clear
2024-11-09
90
MU-305
scan-c
CC BY-NC 4.0
yes
clear
2025-03-01
110
MU-440
scan-d
NOASSERTION
yes
clear
2025-01-15
45
MU-510
scan-e
PDM-1.0
yes
clear
2025-04-05
95
MU-620
scan-f… See the full description on the dataset page: https://huggingface.co/datasets/SOTAagi2030/Museum-Scan-Intake.museums-artworksWho are the source data producers?
The source data producers include the ASTOUND team for generating and evaluating the dialogues. Also include the ArtEmis team for artwork data and annotators for emotion attributions.
ASTOUND is an EIC funded project (No. 101071191) under the HORIZON-EIC-2021-PATHFINDERCHALLENGES-01 call. Website: https://www.astound-project.eu
Pics_from_museumsMuseums3kThis Reprositroy is for downloading Museums3k dataset. The more information at dataset website.