fleurs-sw ke.train.36e6ee8f8d10ed488fcccd0eb3fddf1794d496672b135e632f741e8b25e9341a
fleurs-sw ke.train.36e6ee8f8d10ed488fcccd0eb3fddf1794d496672b135e632f741e8b25e9341a: 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
- 16.44
- sampling rate
- 16000
- media ready
- False