fleurs-sw ke.train.b801200633d36481347ac63eeb9bc3f62699a3d3f6b761bf0456fe6742dee6ae
fleurs-sw ke.train.b801200633d36481347ac63eeb9bc3f62699a3d3f6b761bf0456fe6742dee6ae: 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
- 8.76
- sampling rate
- 16000
- media ready
- False