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clips/mteb-nl-COVID-19-disinformation

192 downloads in 30 days1 likesLast modified 24 Sep 2025View on Hugging Face
Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence
cc-by-4.0, from the tagEvidence: README.md at 5563bca
Licence files
No licence file at the top level of the repositoryEvidence: file list at 5563bca
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

If you find our paper, benchmark or models helpful, please consider cite as follows:
```latex
@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:

```latex
@inproceedings{alam-etal-2021-fighting-covid,
    title = "Fighting the {COVID}-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society",
    author = "Alam, Firoj  and
      Shaar, Shaden  and
      Dalvi, Fahim  and
      Sajjad, Hassan  and
      Nikolov, Alex  and
      Mubarak, Hamdy  and
      Da San Martino, Giovanni  and
      Abdelali, Ahmed  and
      Durrani, Nadir  and
      Darwish, Kareem  and
      Al-Homaid, Abdulaziz  and
      Zaghouani, Wajdi  and
      Caselli, Tommaso  and
      Danoe, Gijs  and
      Stolk, Friso  and
      Bruntink, Britt  and
      Nakov, Preslav",
    editor = "Moens, Marie-Francine  and
      Huang, Xuanjing  and
      Specia, Lucia  and
      Yih, Scott Wen-tau",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
    month = nov,
    year = "2021",
    address = "Pun

The same facts for your agent

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dataset_licence({ "id": "clips/mteb-nl-COVID-19-disinformation" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0