fleurs-sw ke.train.fb2bbfbcfcf8e66db094d7ba4169b6e9dba57ce11e32322a77a1a0054b946e9a
fleurs-sw ke.train.fb2bbfbcfcf8e66db094d7ba4169b6e9dba57ce11e32322a77a1a0054b946e9a: 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
- 11.28
- sampling rate
- 16000
- media ready
- False