fleurs-sw ke.train.7a077c8b0b1da405d4f0bc4d5601bbab349421bdb4f68c922e0a493fa7bd8cc0
fleurs-sw ke.train.7a077c8b0b1da405d4f0bc4d5601bbab349421bdb4f68c922e0a493fa7bd8cc0: 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
- 9.54
- sampling rate
- 16000
- media ready
- False