fleurs-sw ke.train.c652e7575f81690f80763ee0bf16f76c66824bb6fc9a841dddc3c2bfe2935872
fleurs-sw ke.train.c652e7575f81690f80763ee0bf16f76c66824bb6fc9a841dddc3c2bfe2935872: 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
- 19.56
- sampling rate
- 16000
- media ready
- False