antoniopuri/SemArtPlus
Dataset Card for Dataset Name SemArt+ is a multi-relational multimodal benchmark for art understanding, built by combining the original SemArt dataset with per-sentence aspect annotations from Explain Me the Painting. It contains 34,770 images of European paintings from the 3rd to 19th centuries, connected to 62,289 texts through 151,430 typed semantic edges. Curated by: - Antonio Purificato Language(s) (NLP): English License: Apache 2.0 Dataset Sources… See the full description on the dataset page: https://huggingface.co/datasets/antoniopuri/SemArtPlus.
Dataset Card for Dataset Name
SemArt+ is a multi-relational multimodal benchmark for art understanding, built by combining the original SemArt dataset with per-sentence aspect annotations from Explain Me the Painting. It contains 34,770 images of European paintings from the 3rd to 19th centuries, connected to 62,289 texts through 151,430 typed semantic edges.
- Curated by: - Antonio Purificato
- Language(s) (NLP): English
- License: Apache 2.0
Dataset Sources
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- Repository: https://github.com/antoniopurificato/artistic_sheaf/blob/stable
- Paper: https://arxiv.org/abs/2607.16321v1
Dataset Structure
Image: the image from the WikiArt dataset.Link: type of relation presented in the text.Text: Description related to the given image.
Citation
@misc{schaerf2026artsemanticssheafinformedcontrastive,
title={Art Beyond Semantics: Sheaf-Informed Contrastive Learning for Multi-Relational Representations},
author={Ludovica Schaerf and Antonio Purificato and Piera Riccio and Fabrizio Silvestri and Noa Garcia},
year={2026},
eprint={2607.16321},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2607.16321},
}