fleurs-sw ke.train.f9a0911addd983bae67af99ef1ea62e2f46d20f379aab126f71e2bba5bd32e81
fleurs-sw ke.train.f9a0911addd983bae67af99ef1ea62e2f46d20f379aab126f71e2bba5bd32e81: 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
- 16.8
- sampling rate
- 16000
- media ready
- False