fleurs-sw ke.train.a10793fbfde953befa3780cf396c37ea5972d2603cda656df4516a9dc4f7c553
fleurs-sw ke.train.a10793fbfde953befa3780cf396c37ea5972d2603cda656df4516a9dc4f7c553: 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
- 11.04
- sampling rate
- 16000
- media ready
- False