fleurs-sw ke.train.8465c70f4c4581cf266bcb216803ff32d83ba8585f886b8e78b0764f4a326803
fleurs-sw ke.train.8465c70f4c4581cf266bcb216803ff32d83ba8585f886b8e78b0764f4a326803: 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
- 14.58
- sampling rate
- 16000
- media ready
- False