fleurs-sw ke.train.586317b2d8ece8a49237749db32b8e86b0d7fb80de87adc8db5656a6d051f531
fleurs-sw ke.train.586317b2d8ece8a49237749db32b8e86b0d7fb80de87adc8db5656a6d051f531: 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
- 11.88
- sampling rate
- 16000
- media ready
- False