fleurs-sw ke.train.9f31716b369d57dd8659d0c87477e5b26d55661002ecaacb2a1d7dd4adf94300
fleurs-sw ke.train.9f31716b369d57dd8659d0c87477e5b26d55661002ecaacb2a1d7dd4adf94300: 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
- 13.08
- sampling rate
- 16000
- media ready
- False