fleurs-sw ke.train.ec15bce67f5bb2caf03dada1493a922247cb5bf5c46735730c7f93879779a567
fleurs-sw ke.train.ec15bce67f5bb2caf03dada1493a922247cb5bf5c46735730c7f93879779a567: 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
- 8.1
- sampling rate
- 16000
- media ready
- False