fleurs-sw ke.train.e57f4fd336286a36771e8e0bc0d0417cef19a85eeead5a11b53d08f962e61ea1
fleurs-sw ke.train.e57f4fd336286a36771e8e0bc0d0417cef19a85eeead5a11b53d08f962e61ea1: 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
- 13.98
- sampling rate
- 16000
- media ready
- False