fleurs-sw ke.train.b802edd3ffe90d3300eff4f0d7fe3e5b5f8834356ca8fe05199ab5ee627955c7
fleurs-sw ke.train.b802edd3ffe90d3300eff4f0d7fe3e5b5f8834356ca8fe05199ab5ee627955c7: 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
- 14.46
- sampling rate
- 16000
- media ready
- False