fleurs-sw ke.train.77f2ea43a133c3de77cab00178576a2ddaf3f5c19c99fb91b01a2e85b2a8fe5b
fleurs-sw ke.train.77f2ea43a133c3de77cab00178576a2ddaf3f5c19c99fb91b01a2e85b2a8fe5b: 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
- 15.66
- sampling rate
- 16000
- media ready
- False