fleurs-sw ke.train.a58bee3bdf9f48c889e365d8e2e57888b90ceaff2d31d444405cd3be6946b408
fleurs-sw ke.train.a58bee3bdf9f48c889e365d8e2e57888b90ceaff2d31d444405cd3be6946b408: 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
- 12.06
- sampling rate
- 16000
- media ready
- False