fleurs-sw ke.train.17e601ba56e310f16ef37fe1070efd1b3ed5c3e37b7c0b1ad814c9c5ab0d0a74
fleurs-sw ke.train.17e601ba56e310f16ef37fe1070efd1b3ed5c3e37b7c0b1ad814c9c5ab0d0a74: 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
- 11.28
- sampling rate
- 16000
- media ready
- False