fleurs-sw ke.train.9802a6e88839183859c8b15666d849bb22af865f6027b34df3dd8a11f1a9a52a
fleurs-sw ke.train.9802a6e88839183859c8b15666d849bb22af865f6027b34df3dd8a11f1a9a52a: 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
- 22.56
- sampling rate
- 16000
- media ready
- False