fleurs-sw ke.train.e89f4579a2b025a30c5857c509dadf33fd84a9b9e3b95c6b87e6f682a7d04d46
fleurs-sw ke.train.e89f4579a2b025a30c5857c509dadf33fd84a9b9e3b95c6b87e6f682a7d04d46: 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
- 24.6
- sampling rate
- 16000
- media ready
- False