fleurs-sw ke.train.dd497f1bd399d674a5b138ad4ef69933c0e94a7c5eb683796dd2cffc43009301
fleurs-sw ke.train.dd497f1bd399d674a5b138ad4ef69933c0e94a7c5eb683796dd2cffc43009301: 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
- 12.6
- sampling rate
- 16000
- media ready
- False