fleurs-sw ke.train.87a529b170588dd49153e818cbdcf1a7791e77d2bc6e2c659188d9ba1d57255e
fleurs-sw ke.train.87a529b170588dd49153e818cbdcf1a7791e77d2bc6e2c659188d9ba1d57255e: 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
- 12.72
- sampling rate
- 16000
- media ready
- False