fleurs-sw ke.train.c2fe1b0f3a47d861c6c556b3cb865eab4d8d576a72376c01c7ffb791cd96c009
fleurs-sw ke.train.c2fe1b0f3a47d861c6c556b3cb865eab4d8d576a72376c01c7ffb791cd96c009: 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
- 11.52
- sampling rate
- 16000
- media ready
- False