fleurs-sw ke.train.39da257217a12d2f11664d68a144e473c1b0d8c5061da2880279cf008d93cbb0
fleurs-sw ke.train.39da257217a12d2f11664d68a144e473c1b0d8c5061da2880279cf008d93cbb0: 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
- 23.1
- sampling rate
- 16000
- media ready
- False