fleurs-sw ke.train.c2357fb360e1c9dd373cb724067312f58662cbf60f76aa4b2d5b1ea2ce5697f2
fleurs-sw ke.train.c2357fb360e1c9dd373cb724067312f58662cbf60f76aa4b2d5b1ea2ce5697f2: 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
- 17.4
- sampling rate
- 16000
- media ready
- False