FLEURS

FLEURS is a comprehensive multilingual speech evaluation benchmark spanning 102 languages with approximately 12 hours of speech per language, built on the FLoRes-101 machine translation benchmark. This dataset supports automatic speech recognition, speech language identification, and speech translation tasks, providing parallel speech data for advancing low-resource speech understanding and multilingual speech technology research.