fleurs-sw ke.train.333889f6effd5abf2819de94f46c651d98098ad957f7a96f31506ee3e9b77e54
fleurs-sw ke.train.333889f6effd5abf2819de94f46c651d98098ad957f7a96f31506ee3e9b77e54: 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
- 23.64
- sampling rate
- 16000
- media ready
- False