fleurs-sw ke.train.ece13ea3d7cfaa1f4d7cf6eca5e802fb67314d511d9eb0d5b69eb06195fabda3
fleurs-sw ke.train.ece13ea3d7cfaa1f4d7cf6eca5e802fb67314d511d9eb0d5b69eb06195fabda3: 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
- 15.42
- sampling rate
- 16000
- media ready
- False