Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Languages:
Dutch
Size:
10K - 100K
ArXiv:
License:
fix citations
Browse files
README.md
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@@ -85,7 +85,7 @@ Building on the Belgian Statutory Article Retrieval Dataset (BSARD) in French, w
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| Reference | https://aclanthology.org/2025.regnlp-1.3.pdf |
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Source datasets:
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- [clips/
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## How to evaluate on this task
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## Citation
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If you use this dataset, please cite the dataset as well as
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```bibtex
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}
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@
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}
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@article{muennighoff2022mteb,
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author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Loïc and Reimers, Nils},
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title = {MTEB: Massive Text Embedding Benchmark},
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publisher = {arXiv},
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journal={arXiv preprint arXiv:2210.07316},
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year = {2022}
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url = {https://arxiv.org/abs/2210.07316},
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doi = {10.48550/ARXIV.2210.07316},
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}
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```
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</details>
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---
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*This dataset card was automatically generated using [MTEB](https://github.com/embeddings-benchmark/mteb)*
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| Reference | https://aclanthology.org/2025.regnlp-1.3.pdf |
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Source datasets:
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- [clips/bBSARD](https://huggingface.co/datasets/clips/bBSARD)
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## How to evaluate on this task
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## Citation
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If you use this dataset, please cite the dataset as well as MTEB-NL, as this dataset includes additional processing.
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```bibtex
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}
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@misc{banar2025mtebnle5nlembeddingbenchmark,
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title={MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch},
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author={Nikolay Banar and Ehsan Lotfi and Jens Van Nooten and Cristina Arhiliuc and Marija Kliocaite and Walter Daelemans},
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year={2025},
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eprint={2509.12340},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2509.12340},
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}
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```
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</details>
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---
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