fleurs-sw ke.train.ebfb3b5bac61909b93ab41cad0ae98b17050b0a47abb6907f1357973b2d47c61
fleurs-sw ke.train.ebfb3b5bac61909b93ab41cad0ae98b17050b0a47abb6907f1357973b2d47c61: 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
- 17.28
- sampling rate
- 16000
- media ready
- False