fleurs-sw ke.train.74c3c8ce9d8f5cbc132b0bded9ba4b21494fca4e0a78f109fcdf37e0d5b540ee
fleurs-sw ke.train.74c3c8ce9d8f5cbc132b0bded9ba4b21494fca4e0a78f109fcdf37e0d5b540ee: 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
- 17.64
- sampling rate
- 16000
- media ready
- False