fleurs-sw ke.train.be321997c296555c72475aa13d73566c6fb0f5f44e973642e3c6b33d8697984a
fleurs-sw ke.train.be321997c296555c72475aa13d73566c6fb0f5f44e973642e3c6b33d8697984a: 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
- 19.32
- sampling rate
- 16000
- media ready
- False