fleurs-sw ke.train.a83499b73d8c9c7986f33fd140feb6dbd3c9a4df7375fdc1096ed2a0903c9f58
fleurs-sw ke.train.a83499b73d8c9c7986f33fd140feb6dbd3c9a4df7375fdc1096ed2a0903c9f58: 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
- 19.86
- sampling rate
- 16000
- media ready
- False