fleurs-sw ke.train.fd2b96a8cb623c1feb6271993177b9f21cd2f601c0e025d11f91bb818ad4a42c
fleurs-sw ke.train.fd2b96a8cb623c1feb6271993177b9f21cd2f601c0e025d11f91bb818ad4a42c: 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
- 22.44
- sampling rate
- 16000
- media ready
- False