fleurs-sw ke.train.f1467ac93e16055edb3d684ed410de956c1b0a03f5d33f7aba481695a5d864b4
fleurs-sw ke.train.f1467ac93e16055edb3d684ed410de956c1b0a03f5d33f7aba481695a5d864b4: 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
- 15.24
- sampling rate
- 16000
- media ready
- False