fleurs-sw ke.train.b6ae51f0bd4b5ee1edc08e54f942a3059d152e5cbf69207fbc304b1ffb2a289e
fleurs-sw ke.train.b6ae51f0bd4b5ee1edc08e54f942a3059d152e5cbf69207fbc304b1ffb2a289e: 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
- 18.6
- sampling rate
- 16000
- media ready
- False