fleurs-sw ke.train.38a4f922f980091d4b1aaa756035f932a96b9cbc0c1f3ee8c75a9c224f877ee1
fleurs-sw ke.train.38a4f922f980091d4b1aaa756035f932a96b9cbc0c1f3ee8c75a9c224f877ee1: 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
- 20.04
- sampling rate
- 16000
- media ready
- False