fleurs-sw ke.train.0ac4eaba5ed2abb3ef35229f686d726e281a5f89d1036118115b9e12459f53c8
fleurs-sw ke.train.0ac4eaba5ed2abb3ef35229f686d726e281a5f89d1036118115b9e12459f53c8: 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
- 9.42
- sampling rate
- 16000
- media ready
- False