fleurs-sw ke.train.34e5543e8ba89db3eb3d6d4b9c2a72682faae2a0d8abf220fb5fcf827af4eaff
fleurs-sw ke.train.34e5543e8ba89db3eb3d6d4b9c2a72682faae2a0d8abf220fb5fcf827af4eaff: 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
- 24.06
- sampling rate
- 16000
- media ready
- False