fleurs-sw ke.train.d1370b66e32bf76b6d97b3f5c6e3d9ba8f1a03bad1957b866bc550d943a57b58
fleurs-sw ke.train.d1370b66e32bf76b6d97b3f5c6e3d9ba8f1a03bad1957b866bc550d943a57b58: 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
- 14.1
- sampling rate
- 16000
- media ready
- False