fleurs-sw ke.train.1f36e953bab673bc5cc9b8e631d83060caea8369cdda2f8d5ebd8b9a3a2d5cb4
fleurs-sw ke.train.1f36e953bab673bc5cc9b8e631d83060caea8369cdda2f8d5ebd8b9a3a2d5cb4: 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
- 32.28
- sampling rate
- 16000
- media ready
- False