fleurs-sw ke.train.36d544f57bf550cbcb9398cdbced1a7e686d10605d0ac9eae0a4007d952c587d
fleurs-sw ke.train.36d544f57bf550cbcb9398cdbced1a7e686d10605d0ac9eae0a4007d952c587d: 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
- 16.32
- sampling rate
- 16000
- media ready
- False