fleurs-sw ke.train.ce846069fa5d962c8886445e7c323da959ddcfcef877d2c240ff027dfd689918
fleurs-sw ke.train.ce846069fa5d962c8886445e7c323da959ddcfcef877d2c240ff027dfd689918: 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
- 14.04
- sampling rate
- 16000
- media ready
- False