fleurs-sw ke.train.ec159884ca99d5a134af8b6464f4928b5532551b8e6ea704ac649f896faafdf8
fleurs-sw ke.train.ec159884ca99d5a134af8b6464f4928b5532551b8e6ea704ac649f896faafdf8: 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
- 16.86
- sampling rate
- 16000
- media ready
- False