fleurs-sw ke.train.884858bada8f3fbf140d7cfb84200e603d2ce8976c17ef9f0a5609acc8f7b808
fleurs-sw ke.train.884858bada8f3fbf140d7cfb84200e603d2ce8976c17ef9f0a5609acc8f7b808: 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
- 15.54
- sampling rate
- 16000
- media ready
- False