fleurs-sw ke.train.3dff412a3c6386047a99ea0f0e08e33a058ce3854ce3a2b6cda0159d3fd28f52
fleurs-sw ke.train.3dff412a3c6386047a99ea0f0e08e33a058ce3854ce3a2b6cda0159d3fd28f52: train task in FineEnvs/fleurs-asr-env, an RL environment on the Hugging Face Hub. Transcribe this Swahili speech exactly as spoken, in Swahili, preserving capitalization, punctuation, and numerals. Return only the…
The task
Transcribe this Swahili speech exactly as spoken, in Swahili, preserving capitalization, punctuation, and numerals. Return only the transcription.
Task details
- language
- sw_ke
- language name
- Swahili
- family
- verbatim_transcription
- mime
- audio/wav
- duration seconds
- 18.66
- sampling rate
- 16000
- media ready
- False