fleurs-sw ke.train.3afa7b0afe1745d84a817edb8b6ba8acc89fb1c67809f9a947b66c1afa883a6f
fleurs-sw ke.train.3afa7b0afe1745d84a817edb8b6ba8acc89fb1c67809f9a947b66c1afa883a6f: 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
- 17.76
- sampling rate
- 16000
- media ready
- False