fleurs-sw ke.train.6382d9c30dd9795d16613f5163f1bb4546c26ab02f7c9a5e12b3d1df9afd1f66
fleurs-sw ke.train.6382d9c30dd9795d16613f5163f1bb4546c26ab02f7c9a5e12b3d1df9afd1f66: 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
- 16.5
- sampling rate
- 16000
- media ready
- False