fleurs-sw ke.train.171563111b0cc41172e793ae5f7d09e66337590891907c98d2da4fceab6fb632
fleurs-sw ke.train.171563111b0cc41172e793ae5f7d09e66337590891907c98d2da4fceab6fb632: 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
- 22.5
- sampling rate
- 16000
- media ready
- False