fleurs-sw ke.train.c89316e8b93ad442a077e4b8eb6893979ca92ac00cd3c6f48c73d0242ecec113
fleurs-sw ke.train.c89316e8b93ad442a077e4b8eb6893979ca92ac00cd3c6f48c73d0242ecec113: 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
- 13.62
- sampling rate
- 16000
- media ready
- False