---
license: apache-2.0
task_categories:
- text-retrieval
language:
- nl
size_categories:
- 1M<n<10M
configs:
  - config_name: default 
    data_files:
      - split: test
        path: qrels/test.jsonl
      - split: dev
        path: qrels/dev.jsonl
      - split: train
        path: qrels/train.jsonl
  - config_name: queries
    data_files:
      - split: queries
        path: queries.jsonl
  - config_name: corpus
    data_files:
      - split: corpus
        path: corpus.jsonl
---
# Dataset Card for BEIR-NL Benchmark

BEIR-NL is a Dutch-translated version of the BEIR benchmark, a diverse and heterogeneous collection of datasets covering various domains from biomedical and financial texts to general web content. Our benchmark is integrated into the [Massive Multilingual Text Embedding Benchmark (MMTEB)](https://mteb-leaderboard.hf.space/?benchmark_name=BEIR-NL).
### Source Data
mMarco repository on [GitHub](https://github.com/unicamp-dl/mMARCO).

## Additional Information
### Licensing Information

This dataset is licensed under the [Apache license 2.0](https://www.apache.org/licenses/)..

### Citation Information
We use this dataset in our work:
```
@misc{banar2024beirnlzeroshotinformationretrieval,
    title={BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language}, 
     author={Nikolay Banar and Ehsan Lotfi and Walter Daelemans},
     year={2024},
     eprint={2412.08329},
     archivePrefix={arXiv},
     primaryClass={cs.CL},
     url={https://arxiv.org/abs/2412.08329}, 
}
```
The original source of data:
```
@article{DBLP:journals/corr/abs-2108-13897,
  author       = {Luiz Bonifacio and
                  Israel Campiotti and
                  Roberto de Alencar Lotufo and
                  Rodrigo Frassetto Nogueira},
  title        = {mMARCO: {A} Multilingual Version of {MS} {MARCO} Passage Ranking Dataset},
  journal      = {CoRR},
  volume       = {abs/2108.13897},
  year         = {2021},
  url          = {https://arxiv.org/abs/2108.13897},
  eprinttype    = {arXiv},
  eprint       = {2108.13897},
  timestamp    = {Mon, 20 Mar 2023 15:35:34 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2108-13897.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
```