fleurs-sw ke.train.acf67cd77a83623892ccc40044fd5089f460b3af9e0bed48205b2cbee4bc2eb9
fleurs-sw ke.train.acf67cd77a83623892ccc40044fd5089f460b3af9e0bed48205b2cbee4bc2eb9: 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
- 22.68
- sampling rate
- 16000
- media ready
- False