fleurs-sw ke.train.a0cfa08f51706a86cdcd6b3c4b79e87f5c080024ac132dc7a50eb307aafa4d31
fleurs-sw ke.train.a0cfa08f51706a86cdcd6b3c4b79e87f5c080024ac132dc7a50eb307aafa4d31: 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
- 10.98
- sampling rate
- 16000
- media ready
- False