fleurs-sw ke.train.37c5fb8615968bd464dd070734401a6ef0f96e580ea1d7dc4e2f1e5c946008b3
fleurs-sw ke.train.37c5fb8615968bd464dd070734401a6ef0f96e580ea1d7dc4e2f1e5c946008b3: 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
- 12.6
- sampling rate
- 16000
- media ready
- False