FLORES is a benchmark dataset for machine translation between English and low-resource languages.
The creation of FLORES-200 doubles the existing language coverage of FLORES-101.
Given the nature of the new languages, which have less standardization and require
more specialized professional translations, the verification process became more complex.
This required modifications to the translation workflow. FLORES-200 has… See the full description on the dataset page: https://huggingface.co/datasets/neulab/PangeaBench-flores.
