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}, 
}

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",
}