fleurs-sw ke.train.3aa5ff7be2d765a5686a9e7d4f99880cc72699a74c78b41614b03c7fc921afc8
fleurs-sw ke.train.3aa5ff7be2d765a5686a9e7d4f99880cc72699a74c78b41614b03c7fc921afc8: 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
- 9.3
- sampling rate
- 16000
- media ready
- False