fleurs-sw ke.train.e2cca90e02daeff4c2dd5675459044002632864e8c920f3d0b1835c6a1a5cdc3
fleurs-sw ke.train.e2cca90e02daeff4c2dd5675459044002632864e8c920f3d0b1835c6a1a5cdc3: 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
- 9.54
- sampling rate
- 16000
- media ready
- False