fleurs-sw ke.train.1e5b6204c7b2d2dad4fc520588b058f2d1273d6a605429afb239f99b5f3dbf4e
fleurs-sw ke.train.1e5b6204c7b2d2dad4fc520588b058f2d1273d6a605429afb239f99b5f3dbf4e: 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
- 10.2
- sampling rate
- 16000
- media ready
- False