flores101

One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, or are low quality because they are constructed using semi-automatic procedures. In this work, we introduce the FLORES evaluation benchmark, consisting of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translato

Type: Dataset
Imported from Hugging Face
Popularity: 33 likes on Hugging Face
License: cc-by-sa-4.0
Source: https://huggingface.co/datasets/gsarti/flores_101
Tags: annotations_creators:found, language_creators:expert-generated, multilinguality:multilingual, multilinguality:translation, source_datasets:extended|flores, conditional-text-generation
Updated: 2026-10-01

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