fleurs-sw ke.train.78dbf96da539ed196be5b4fd9a697809618392c17f53276262ccc33eae9315eb
fleurs-sw ke.train.78dbf96da539ed196be5b4fd9a697809618392c17f53276262ccc33eae9315eb: 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
- 16.8
- sampling rate
- 16000
- media ready
- False