This dataset adapts the GeNTE dataset to be run on 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:
@inproceedings{piergentili-etal-2023-hi,
title = "Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the {G}e{NTE} Corpus",
author = "Piergentili… See the full description on the dataset page:
https://huggingface.co/datasets/RiTA-nlp/GeNTE_ita-eval.
