fleurs-sw ke.train.da3d196ee4bea3dadd27c0ce39d8497455f15045de5d17afbdd0edd0cd006f97
fleurs-sw ke.train.da3d196ee4bea3dadd27c0ce39d8497455f15045de5d17afbdd0edd0cd006f97: 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
- 15.96
- sampling rate
- 16000
- media ready
- False