fleurs-sw ke.train.e7a2d12061e7aa2dc4bd2a7e587f1881964ce465b83a798f203235189b4bb8ec
fleurs-sw ke.train.e7a2d12061e7aa2dc4bd2a7e587f1881964ce465b83a798f203235189b4bb8ec: 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
- 11.7
- sampling rate
- 16000
- media ready
- False