fleurs-sw ke.train.778c52d4a43d9c317273cdbf44b64171d49eab4e5cbc3d020bc3e6f41c7b0d40
fleurs-sw ke.train.778c52d4a43d9c317273cdbf44b64171d49eab4e5cbc3d020bc3e6f41c7b0d40: 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
- 13.8
- sampling rate
- 16000
- media ready
- False