fleurs-sw ke.train.aedf72fd29785c54b6f4ed3bae3e77dd8433298d3c1530416264b7213a254900
fleurs-sw ke.train.aedf72fd29785c54b6f4ed3bae3e77dd8433298d3c1530416264b7213a254900: 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
- 10.56
- sampling rate
- 16000
- media ready
- False