---
license: cc-by-4.0
task_categories:
- translation
language:
- it
- en
---

This dataset adapts the [GeNTE dataset](https://huggingface.co/datasets/FBK-MT/GeNTE) to be run on [ItaEval](https://rita-nlp.org/sprints/itaeval/).
In particular, we selected the five initial instances from the dataset and used them as few-shot examples ("train" split in this release).

Please check the original dataset for more details on GeNTE. If you use the dataset, please consider citing the paper:

```bibtex
@inproceedings{piergentili-etal-2023-hi,
    title = "Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the {G}e{NTE} Corpus",
    author = "Piergentili, Andrea and 
      Savoldi, Beatrice  and
      Fucci, Dennis  and
      Negri, Matteo  and
      Bentivogli, Luisa",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-main.873",
    doi = "10.18653/v1/2023.emnlp-main.873",
    pages = "14124--14140"
}
```