fleurs-sw ke.train.e1053fba881d935444bbf8a6966e51f11e8e3562cdd0dc4cb61becd2418436cf
fleurs-sw ke.train.e1053fba881d935444bbf8a6966e51f11e8e3562cdd0dc4cb61becd2418436cf: 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
- 14.88
- sampling rate
- 16000
- media ready
- False