fleurs-sw ke.train.5943f5ef6f406e46e7d0f65a86a57f8987739f4788f38a41bc4244383838cd69
fleurs-sw ke.train.5943f5ef6f406e46e7d0f65a86a57f8987739f4788f38a41bc4244383838cd69: 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
- 19.38
- sampling rate
- 16000
- media ready
- False