fleurs-sw ke.train.1c5df8cc3e3b682b10fd27b6059dd1fd4704a2949bf9f79d7feee6a4ca5f9671
fleurs-sw ke.train.1c5df8cc3e3b682b10fd27b6059dd1fd4704a2949bf9f79d7feee6a4ca5f9671: 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
- 36.78
- sampling rate
- 16000
- media ready
- False