fleurs-sw ke.train.04b67b75fccddf22ec07ae4d19d19c849b332a77265a75e2aba37e051c3a9d12
fleurs-sw ke.train.04b67b75fccddf22ec07ae4d19d19c849b332a77265a75e2aba37e051c3a9d12: 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
- 19.86
- sampling rate
- 16000
- media ready
- False