The Fleurs dataset is used for automatic speech recognition and speech classification. It is an n-way parallel speech dataset in 102 languages built on top of the FLoRes-101 benchmark, with approximately 12 hours of speech supervision per language. It covers 10 languages native to Southeast Asia and 3 other major languages (Mandarin Chinese, Portuguese, and Tamil) mostly spoken in a few Southeast Asian countries.
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Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.