clips/mteb-nl-iconclass-cls
Iconclass is a hierarchical system for classifying the subjects and content of artworks. Each artwork can be annotated with one or more Iconclass codes, where each code represents a specific concept depicted in the work. The dataset is sourced from the Netherlands Institute for Art History and includes annotations linked to artwork titles. Citation Information If you find our paper, benchmark or models helpful, please consider cite as follows:… See the full description on the dataset page: https://huggingface.co/datasets/clips/mteb-nl-iconclass-cls.
Iconclass is a hierarchical system for classifying the subjects and content of artworks. Each artwork can be annotated with one or more Iconclass codes, where each code represents a specific concept depicted in the work. The dataset is sourced from the Netherlands Institute for Art History and includes annotations linked to artwork titles.
Citation Information
If you find our paper, benchmark or models helpful, please consider cite as follows:
@misc{banar2025mtebnle5nlembeddingbenchmark,
title={MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch},
author={Nikolay Banar and Ehsan Lotfi and Jens Van Nooten and Cristina Arhiliuc and Marija Kliocaite and Walter Daelemans},
year={2025},
eprint={2509.12340},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2509.12340},
}[//]: # (https://arxiv.org/abs/2509.12340)
The data source:
@article{banar2023transfer,
title={Transfer learning for the visual arts: The multi-modal retrieval of iconclass codes},
author={Banar, Nikolay and Daelemans, Walter and Kestemont, Mike},
journal={ACM Journal on Computing and Cultural Heritage},
volume={16},
number={2},
pages={1--16},
year={2023},
publisher={ACM New York, NY}
}