fleurs-sw ke.train.d024e3502eec9e5bf0df671ac95221533e1a08ef6ee2a6904e7f5915a5df2317
fleurs-sw ke.train.d024e3502eec9e5bf0df671ac95221533e1a08ef6ee2a6904e7f5915a5df2317: 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
- 14.88
- sampling rate
- 16000
- media ready
- False