fleurs-sw ke.train.9f877b59b4edeca5e94531724a91cacafbbce8d8e9393efa320bee3bb79218b3
fleurs-sw ke.train.9f877b59b4edeca5e94531724a91cacafbbce8d8e9393efa320bee3bb79218b3: 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
- 10.62
- sampling rate
- 16000
- media ready
- False