fleurs-sw ke.train.87fc4eb4f3069d822def78e874ecbd76a1e6419653637ee8b9e5a8b0e0890929
fleurs-sw ke.train.87fc4eb4f3069d822def78e874ecbd76a1e6419653637ee8b9e5a8b0e0890929: 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
- 9.96
- sampling rate
- 16000
- media ready
- False