fleurs-sw ke.train.fd5dd1bfc29a0e9fab3a999a8e1194d59737a6823cc2ca062a5cf3b3c50fbb36
fleurs-sw ke.train.fd5dd1bfc29a0e9fab3a999a8e1194d59737a6823cc2ca062a5cf3b3c50fbb36: 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
- 12.96
- sampling rate
- 16000
- media ready
- False