fleurs-sw ke.train.eda3ed804184c5ea3ea5eb4e187e7473204a0e8fcab63464bea8dac1859eb991
fleurs-sw ke.train.eda3ed804184c5ea3ea5eb4e187e7473204a0e8fcab63464bea8dac1859eb991: 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
- 19.02
- sampling rate
- 16000
- media ready
- False