fleurs-sw ke.train.d8c45c79e3d4a91e7db3976318a8ce2bb4b8fc7ef346dc1c2c26d3598b7e7f0d
fleurs-sw ke.train.d8c45c79e3d4a91e7db3976318a8ce2bb4b8fc7ef346dc1c2c26d3598b7e7f0d: 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
- 10.32
- sampling rate
- 16000
- media ready
- False