fleurs-sw ke.train.eff77533ea51ba66f7a4d63f389e2eaddda5bf0f6b23135cec4bb2297425fd5f
fleurs-sw ke.train.eff77533ea51ba66f7a4d63f389e2eaddda5bf0f6b23135cec4bb2297425fd5f: 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
- 8.88
- sampling rate
- 16000
- media ready
- False