fleurs-sw ke.train.e97883a859e2bc7017afc0cf8792b73bd92aa0e78765e6e6b4ddcc6c73b56618
fleurs-sw ke.train.e97883a859e2bc7017afc0cf8792b73bd92aa0e78765e6e6b4ddcc6c73b56618: 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
- 13.32
- sampling rate
- 16000
- media ready
- False