fleurs-sw ke.train.cad54cfed2f640e6a1768e5a550b2365b333878cf4d5c877acab0a6eb8b8f190
fleurs-sw ke.train.cad54cfed2f640e6a1768e5a550b2365b333878cf4d5c877acab0a6eb8b8f190: 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
- 17.04
- sampling rate
- 16000
- media ready
- False