fleurs-sw ke.train.1a01e8c3cad119d2f8ab90aeb617c5a23d706788b1b9c45ca30e2f3f602cd701
fleurs-sw ke.train.1a01e8c3cad119d2f8ab90aeb617c5a23d706788b1b9c45ca30e2f3f602cd701: 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
- 15.0
- sampling rate
- 16000
- media ready
- False