fleurs-sw ke.train.afe369da0eefbafd288487feadd94163724f8b3e3184c73909f5d3443079a3e2
fleurs-sw ke.train.afe369da0eefbafd288487feadd94163724f8b3e3184c73909f5d3443079a3e2: 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
- 8.46
- sampling rate
- 16000
- media ready
- False