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  license: cc-by-4.0
 
 
 
 
 
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  license: cc-by-4.0
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+ task_categories:
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+ - translation
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+ language:
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+ - it
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+ - en
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  ---
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+
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+ This dataset adapts the [GeNTE dataset](https://huggingface.co/datasets/FBK-MT/GeNTE) to be run on [ItaEval](https://rita-nlp.org/sprints/itaeval/).
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+ In particular, we selected the five initial instances from the dataset and used them as few-shot examples ("train" split in this release).
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+
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+ Please check the original dataset for more details on GeNTE. If you use the dataset, please consider citing the paper:
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+
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+ ```bibtex
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+ @inproceedings{piergentili-etal-2023-hi,
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+ title = "Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the {G}e{NTE} Corpus",
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+ author = "Piergentili, Andrea and
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+ Savoldi, Beatrice and
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+ Fucci, Dennis and
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+ Negri, Matteo and
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+ Bentivogli, Luisa",
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+ editor = "Bouamor, Houda and
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+ Pino, Juan and
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+ Bali, Kalika",
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+ booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
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+ month = dec,
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+ year = "2023",
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+ address = "Singapore",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2023.emnlp-main.873",
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+ doi = "10.18653/v1/2023.emnlp-main.873",
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+ pages = "14124--14140"
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+ }
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+ ```