fleurs-sw ke.train.86a600052df248513259fa65051f9593d428627b3160de0b2a7582d2e1e81523
fleurs-sw ke.train.86a600052df248513259fa65051f9593d428627b3160de0b2a7582d2e1e81523: 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
- 10.14
- sampling rate
- 16000
- media ready
- False