clips/mteb-nl-legalqa
This dataset consists of Dutch legislative articles, with queries formulated based on subordinating conjunctions. 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}… See the full description on the dataset page: https://huggingface.co/datasets/clips/mteb-nl-legalqa.
This dataset consists of Dutch legislative articles, with queries formulated based on subordinating conjunctions.
## 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:
@inproceedings{redelaar-etal-2024-attributed,
title = "Attributed Question Answering for Preconditions in the {D}utch Law",
author = "Redelaar, Felicia and
Van Drie, Romy and
Verberne, Suzan and
De Boer, Maaike",
editor = "Aletras, Nikolaos and
Chalkidis, Ilias and
Barrett, Leslie and
Goanț{\u{a}}, C{\u{a}}t{\u{a}}lina and
Preoțiuc-Pietro, Daniel and
Spanakis, Gerasimos",
booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2024",
month = nov,
year = "2024",
address = "Miami, FL, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.nllp-1.12/",
doi = "10.18653/v1/2024.nllp-1.12",
pages = "154--165",
}