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@@ -3,14 +3,12 @@ configs:
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  - config_name: main
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  data_files:
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  - split: test
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- path:
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- - "en-es.tsv"
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  default: true
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  - config_name: common
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  data_files:
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  - split: test
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- path:
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- - "en-es_common.tsv"
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@@ -19,8 +17,6 @@ annotations_creators:
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  language:
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  - en
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  - it
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- - es
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- - de
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  language_creators:
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  - expert-generated
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  license:
@@ -151,5 +147,29 @@ The authors of GeNTE are the dataset curators.
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  The GeNTE corpus is released under a Creative Commons Attribution 4.0 International license (CC BY 4.0).
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  ## Contributions
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  Thanks to [@BSavoldi](https://huggingface.co/BSavoldi) for adding this dataset.
 
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  - config_name: main
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  data_files:
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  - split: test
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+ path: "GeNTE.tsv"
 
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  default: true
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  - config_name: common
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  data_files:
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  - split: test
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+ path: "GeNTE_common.tsv"
 
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  language:
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  - en
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  - it
 
 
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  language_creators:
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  - expert-generated
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  license:
 
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  The GeNTE corpus is released under a Creative Commons Attribution 4.0 International license (CC BY 4.0).
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+ ## Citation
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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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+ ```
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+
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+
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  ## Contributions
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  Thanks to [@BSavoldi](https://huggingface.co/BSavoldi) for adding this dataset.