fleurs-sw ke.train.df83f55ff1eee7e5a3f14f3f53b0b77e3bf8b41807614b93d519eccc2841bd3f
fleurs-sw ke.train.df83f55ff1eee7e5a3f14f3f53b0b77e3bf8b41807614b93d519eccc2841bd3f: 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
- 22.68
- sampling rate
- 16000
- media ready
- False