fleurs-sw ke.train.118adcaeba5bc2a12c671d7ab49a667e3d4c0e53f91abf8853502a5be4bbeddc
fleurs-sw ke.train.118adcaeba5bc2a12c671d7ab49a667e3d4c0e53f91abf8853502a5be4bbeddc: 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
- 17.28
- sampling rate
- 16000
- media ready
- False