fleurs-sw ke.train.37a00f0f8fa1b8b9ca6ff441cd0a9083a6c5b32cd3b6815572216eba5133ba48
fleurs-sw ke.train.37a00f0f8fa1b8b9ca6ff441cd0a9083a6c5b32cd3b6815572216eba5133ba48: 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
- 23.76
- sampling rate
- 16000
- media ready
- False