fleurs-sw ke.train.ccb0ce20476e0b0b6bcfebd6238055967b11e64d658e5cc50f0cecaa90f2d789
fleurs-sw ke.train.ccb0ce20476e0b0b6bcfebd6238055967b11e64d658e5cc50f0cecaa90f2d789: 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
- 19.56
- sampling rate
- 16000
- media ready
- False