---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  - name: link
    dtype: string
  splits:
  - name: train
    num_bytes: 19444314153
    num_examples: 115818
  - name: validation
    num_bytes: 4201166538
    num_examples: 25701
  - name: test
    num_bytes: 1547637231
    num_examples: 9911
  download_size: 24003659385
  dataset_size: 25193117922
license: apache-2.0
task_categories:
- image-text-to-image
- visual-document-retrieval
pretty_name: SemArtPlus
size_categories:
- 100K<n<1M
---


# 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](https://scholar.google.com/citations?hl=it&user=D7hppo0AAAAJ)
- **Language(s) (NLP):** English
- **License:** Apache 2.0

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **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}, 
}
```


## Dataset Card Authors [optional]

- [Ludovica Schaerf](https://scholar.google.com/citations?user=wsURxPUAAAAJ)
- [Antonio Purificato](https://scholar.google.com/citations?hl=it&user=D7hppo0AAAAJ)
- [Piera Riccio](http://scholar.google.com/citations?user=ejhiyEIAAAAJ)
- [Fabrizio Silvestri](https://scholar.google.com/citations?user=pi985dQAAAAJ)
- [Noa Garcia](https://scholar.google.com/citations?user=m137748AAAAJ)

## Dataset Card Contact

- [Antonio Purificato](https://scholar.google.com/citations?hl=it&user=D7hppo0AAAAJ)