fleurs-sw ke.train.18d36fae39ef0f857cff3809f55a4ea8e0e3712591effce4bb52dfe2b52efa4a
fleurs-sw ke.train.18d36fae39ef0f857cff3809f55a4ea8e0e3712591effce4bb52dfe2b52efa4a: 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