fleurs-sw ke.train.78a5af5c078a1bbb95e6cbd22a6920c2313f12571cb3dd1ba6de8afd7dbee1fa
fleurs-sw ke.train.78a5af5c078a1bbb95e6cbd22a6920c2313f12571cb3dd1ba6de8afd7dbee1fa: 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
- 16.56
- sampling rate
- 16000
- media ready
- False