fleurs-sw ke.train.f32edeee576964da7715e20cb5986e7e015c326a096c2d69e4678745fa993564
fleurs-sw ke.train.f32edeee576964da7715e20cb5986e7e015c326a096c2d69e4678745fa993564: 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
- 21.66
- sampling rate
- 16000
- media ready
- False