Datasets:
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---
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"
}
``` |