fleurs-sw ke.train.f04225696e23130757441cb0497386bc68791a8f02ac8c2f98bee099941cd355
fleurs-sw ke.train.f04225696e23130757441cb0497386bc68791a8f02ac8c2f98bee099941cd355: 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
- 47.64
- sampling rate
- 16000
- media ready
- False