fleurs-sw ke.train.e384bd4606359db0dafe0578435c908d0847cbff09ba582883bbab16d71ec786
fleurs-sw ke.train.e384bd4606359db0dafe0578435c908d0847cbff09ba582883bbab16d71ec786: 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
- 11.82
- sampling rate
- 16000
- media ready
- False