fleurs-sw ke.train.7e3f6aa7610f96b1d409110637d0b02c578c06a3ff8e4317649fef5b0aa554c6
fleurs-sw ke.train.7e3f6aa7610f96b1d409110637d0b02c578c06a3ff8e4317649fef5b0aa554c6: 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
- 21.54
- sampling rate
- 16000
- media ready
- False