fleurs-sw ke.train.bd149f2cb944dc0ee06fabddd3a5579caf08c416f3e3960fa8ee47a8a005fcda
fleurs-sw ke.train.bd149f2cb944dc0ee06fabddd3a5579caf08c416f3e3960fa8ee47a8a005fcda: 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
- 13.44
- sampling rate
- 16000
- media ready
- False