fleurs-sw ke.train.a2f60b7710ef31d856e5c98a9c8d24e11eabfddd6ac9d4790d6708e6f5913835
fleurs-sw ke.train.a2f60b7710ef31d856e5c98a9c8d24e11eabfddd6ac9d4790d6708e6f5913835: 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
- 19.08
- sampling rate
- 16000
- media ready
- False