FLORES-101 is a high-quality, human-translated evaluation benchmark for low-resource and multilingual machine translation. It contains 3,001 sentences extracted from English Wikipedia and professionally translated into 101 languages through a carefully controlled process, producing a multilingually-aligned set useful for many-to-many MT evaluation. FLORES-101 was released to provide broad coverage of low-resource languages and to enable more reliable comparison of translation quality (commonly used as the dev/devtest evaluation benchmark). The dataset is distributed under a CC BY-SA 4.0 license.
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