fleurs-sw ke.train.a19e7ebf0de7b0db3f1f82ec67acd31481bf2363f03f10c295d409e8f2f69397
fleurs-sw ke.train.a19e7ebf0de7b0db3f1f82ec67acd31481bf2363f03f10c295d409e8f2f69397: 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
- 13.56
- sampling rate
- 16000
- media ready
- False