fleurs-sw ke.train.f5859209bc6d5d65a00b41e411d1c4d83155c43d8f47f4031561f71595242c36
fleurs-sw ke.train.f5859209bc6d5d65a00b41e411d1c4d83155c43d8f47f4031561f71595242c36: 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
- 21.3
- sampling rate
- 16000
- media ready
- False