fleurs-sw ke.train.64afa884f94578231fe9b862d2e16c3f284d252248acb515fc1b60296d99972c
fleurs-sw ke.train.64afa884f94578231fe9b862d2e16c3f284d252248acb515fc1b60296d99972c: 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
- 25.68
- sampling rate
- 16000
- media ready
- False