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Add the link to the new tool and dataset (#1)
Browse files- Add the link to the new tool and dataset (47a04423cfbb06078c945cd0947eeb8e00e83c24)
Co-authored-by: David Dale <[email protected]>
app.py
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@@ -377,14 +377,18 @@ We are inviting everyone to contribute to BOUQuET π - a project aimed at bui
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evaluation dataset for massively multilingual text-to-text machine translation systems.
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You are very welcome to provide your language translation choosing the source you feel more comfortable with,
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including English, Mandarin Chinese, German, French, Hindi, Indonesian, Russian or Spanish.
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Please take a look at Contributor guidelines that will further inform you on how to proceed.
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You can also find more details on BOUQuET π scientific context and purpose in the [paper \\[OmnilingualMT team et al., 2025\\]](https://arxiv.org/pdf/2502.04314).
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If you want to contribute, check out
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### Reference
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# Welcome to the BOUQuET π , the Open-initiative for Universal Quality Evaluation in Translation.
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""")
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intro_tab()
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login_tab()
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guidelines_tab()
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dla_tab()
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evaluation dataset for massively multilingual text-to-text machine translation systems.
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You are very welcome to provide your language translation choosing the source you feel more comfortable with,
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including English, Egyptian Arabic, Mandarin Chinese, German, French, Hindi, Indonesian, Russian or Spanish.
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Please take a look at Contributor guidelines that will further inform you on how to proceed.
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You can also find more details on BOUQuET π scientific context and purpose in the [paper \\[OmnilingualMT team et al., 2025\\]](https://arxiv.org/pdf/2502.04314).
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### Dataset
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The dataset is accessible at https://huggingface.co/datasets/facebook/bouquet. We are going to update it regularly, as the contributions in new languages are completed and validated.
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### Contribute
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If you want to contribute dataset translations for a new language or validate existing translations, check out our crowdsourcing system: https://bouquet.metademolab.com.
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### Reference
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# Welcome to the BOUQuET π , the Open-initiative for Universal Quality Evaluation in Translation.
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""")
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intro_tab()
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# login_tab()
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guidelines_tab()
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dla_tab()
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