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The FLORES-101 Data Set: Helping Build Better Translation Syst | Data Science Digest

The FLORES-101 Data Set: Helping Build Better Translation Systems Around the World

Building on the success of machine translation systems like M2M-100, Facebook AI has open-sourced FLORES-101, a many-to-many evaluation data set covering 101 languages from all over the world, to enable researchers to rapidly test and improve upon multilingual translation models like M2M-100. In this article, you’ll delve into its basics.

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