fleurs-sw ke.train.a57fd5a01f0c1f6489e492fb39ab1028dfcaebb3826550f66889d3b3e4d8f82c
fleurs-sw ke.train.a57fd5a01f0c1f6489e492fb39ab1028dfcaebb3826550f66889d3b3e4d8f82c: 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
- 11.22
- sampling rate
- 16000
- media ready
- False