fleurs-sw ke.train.a83b8a4908edaf7d1d7b0287ab965aec7756b3adce9630555081dc154c254e92
fleurs-sw ke.train.a83b8a4908edaf7d1d7b0287ab965aec7756b3adce9630555081dc154c254e92: 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
- 17.94
- sampling rate
- 16000
- media ready
- False