fleurs-sw ke.train.e270221a8113cce32f4051c31d791b00378931c9e53d1f8680c3283f4c50498a
fleurs-sw ke.train.e270221a8113cce32f4051c31d791b00378931c9e53d1f8680c3283f4c50498a: 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
- 6.66
- sampling rate
- 16000
- media ready
- False