fleurs-sw ke.train.f073483ca6f1400b831d2ee91c82c0178959777f3686d18a33a4a3e3103c6718
fleurs-sw ke.train.f073483ca6f1400b831d2ee91c82c0178959777f3686d18a33a4a3e3103c6718: 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
- 16.92
- sampling rate
- 16000
- media ready
- False