---
license: cc0-1.0
language:
- nl
---

 This dataset contains news headlines from a satirical news website (*Speld.nl*) and a regular news website that are annotated with binary sarcasm labels (1 indicating sarcasm, 0 indicating non-sarcasm). All headlines from *Speld.nl* are annotated as sarcastic, whereas all headlines from *nu.nl* are not.
 
## Citation Information

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
@misc{tuin_dutch_news_headlines_2020,
  author       = {Harro Tuin},
  title        = {Dutch news headlines for sarcasm detection},
  year         = {2020},
  publisher    = {Kaggle},
  url          = {https://www.kaggle.com/datasets/harrotuin/dutch-news-headlines},
  note         = {Kaggle dataset; last updated 2020; accessed 2025-08-14}
}
```