fleurs-sw ke.train.9f764ecee3dc3b0091882c4abb1be7f25f52057850eb754846c6434f5b64dc95
fleurs-sw ke.train.9f764ecee3dc3b0091882c4abb1be7f25f52057850eb754846c6434f5b64dc95: 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
- 10.86
- sampling rate
- 16000
- media ready
- False