fleurs-sw ke.train.74ff4aa5541ecc89c9c6cace741c4f7123a0971b448b976cefe964005566abe9
fleurs-sw ke.train.74ff4aa5541ecc89c9c6cace741c4f7123a0971b448b976cefe964005566abe9: 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
- 14.7
- sampling rate
- 16000
- media ready
- False