Datasets:
Tasks:
Translation
Languages:
multilingual
Multilinguality:
multilingual
Source Datasets:
FLORES-101, FLORES-200, PAWS-X, XNLI, XTREME, WinoMT, Wino-X, MuCOW, EuroParl ConDisco, ParcorFull
ArXiv:
Tags:
License:
Update README.md
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chanberg
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README.md
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@@ -141,7 +141,18 @@ The ACES dataset is Creative Commons Attribution Non-Commercial Share Alike 4.0
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### Citation Information
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### Contact
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[Chantal Amrhein](mailto:amrhein@cl.uzh.ch) and [Nikita Moghe](mailto:nikita.moghe@ed.ac.uk) and [Liane Guillou](mailto:lguillou@ed.ac.uk)
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### Citation Information
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@inproceedings{amrhein-aces-2022,
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title = "{ACES}: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics",
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author = {Amrhein, Chantal and
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Moghe, Nikita and
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Guillou, Liane},
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booktitle = "Seventh Conference on Machine Translation (WMT22)",
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month = dec,
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year = "2022",
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address = "Abu Dhabi, United Arab Emirates",
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publisher = "Association for Computational Linguistics",
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eprint = {2210.15615}
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}
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### Contact
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[Chantal Amrhein](mailto:amrhein@cl.uzh.ch) and [Nikita Moghe](mailto:nikita.moghe@ed.ac.uk) and [Liane Guillou](mailto:lguillou@ed.ac.uk)
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