fleurs-sw ke.train.abf4e9ff1312d4c177048fd23489ee087f9c2f83fe508483fe48eb37802e77ca
fleurs-sw ke.train.abf4e9ff1312d4c177048fd23489ee087f9c2f83fe508483fe48eb37802e77ca: 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
- 12.96
- sampling rate
- 16000
- media ready
- False