fleurs-sw ke.train.342bbdcd13ec3e61b728cebc4163d9a05bbb032a2a8cbf55ab8bc6b11bece217
fleurs-sw ke.train.342bbdcd13ec3e61b728cebc4163d9a05bbb032a2a8cbf55ab8bc6b11bece217: 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
- 27.12
- sampling rate
- 16000
- media ready
- False