fleurs-sw ke.train.bebca6817aeac6145e3f3f6b2399e04b348d82254ed4a2d2dc0e09ba8031e7d6
fleurs-sw ke.train.bebca6817aeac6145e3f3f6b2399e04b348d82254ed4a2d2dc0e09ba8031e7d6: 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
- 21.66
- sampling rate
- 16000
- media ready
- False