fleurs-sw ke.train.3a4499b7a3e834e2b98c9e855671a4bd2fe39de8632d506a920fc74f0bea782f
fleurs-sw ke.train.3a4499b7a3e834e2b98c9e855671a4bd2fe39de8632d506a920fc74f0bea782f: 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
- 17.04
- sampling rate
- 16000
- media ready
- False