fleurs-sw ke.train.86b2b2669c19fdff825148b43995db436b273a9494071ca1f78efd5b4bfc0c30
fleurs-sw ke.train.86b2b2669c19fdff825148b43995db436b273a9494071ca1f78efd5b4bfc0c30: 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
- 13.14
- sampling rate
- 16000
- media ready
- False