fleurs-sw ke.train.fbbb06aa85fbfdc65f0507c78f4b4c964bca26835796b8ab6039aa4576ae4f83
fleurs-sw ke.train.fbbb06aa85fbfdc65f0507c78f4b4c964bca26835796b8ab6039aa4576ae4f83: 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
- 17.16
- sampling rate
- 16000
- media ready
- False