fleurs-sw ke.train.313c48915e04379d1bc31a320fdd0d8b61f01187346b979fccd3e4f03be71ddd
fleurs-sw ke.train.313c48915e04379d1bc31a320fdd0d8b61f01187346b979fccd3e4f03be71ddd: 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
- 17.4
- sampling rate
- 16000
- media ready
- False