fleurs-sw ke.train.3bf0f17f7738476245e231ceed09f4d39abf8e5dce136a0c696558b04ce1a2e5
fleurs-sw ke.train.3bf0f17f7738476245e231ceed09f4d39abf8e5dce136a0c696558b04ce1a2e5: 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
- 9.24
- sampling rate
- 16000
- media ready
- False