fleurs-sw ke.train.b2d85437f6a25f45d8a9a3802fd78429b6608ee27bf121583a572e1b03b2093a
fleurs-sw ke.train.b2d85437f6a25f45d8a9a3802fd78429b6608ee27bf121583a572e1b03b2093a: 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
- 24.3
- sampling rate
- 16000
- media ready
- False