fleurs-sw ke.train.d666afd50ac89c1f7a25e8bf0bca056fd4079dd2ca1e0ad8cce7e81bfbac26ce
fleurs-sw ke.train.d666afd50ac89c1f7a25e8bf0bca056fd4079dd2ca1e0ad8cce7e81bfbac26ce: 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
- 16.68
- sampling rate
- 16000
- media ready
- False