fleurs-sw ke.train.ec37f4eae28d701aea0d4de1fd56f27d29fb287c1180dabbc21f95f147c4d571
fleurs-sw ke.train.ec37f4eae28d701aea0d4de1fd56f27d29fb287c1180dabbc21f95f147c4d571: 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
- 17.88
- sampling rate
- 16000
- media ready
- False