fleurs-sw ke.train.a0f5dd5578a57b8c84ecdd1b0b29f55137cf8d992e1bb3746076abea26db0a87
fleurs-sw ke.train.a0f5dd5578a57b8c84ecdd1b0b29f55137cf8d992e1bb3746076abea26db0a87: 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
- 9.72
- sampling rate
- 16000
- media ready
- False