fleurs-sw ke.train.783faf7e5e34966baec48ffe2f1307345f19c37bf9cb5a9a824132c91f93e333
fleurs-sw ke.train.783faf7e5e34966baec48ffe2f1307345f19c37bf9cb5a9a824132c91f93e333: 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
- 13.86
- sampling rate
- 16000
- media ready
- False