fleurs-sw ke.train.cf39e102842f1cde0c77617b99de955b9b12236f6f2a9a2983b457b15a384e96
fleurs-sw ke.train.cf39e102842f1cde0c77617b99de955b9b12236f6f2a9a2983b457b15a384e96: 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
- 23.22
- sampling rate
- 16000
- media ready
- False