fleurs-sw ke.train.dce4d3deed58a4bb560559b41161a40bbb873a40677d40b1d8cc019179e02a45
fleurs-sw ke.train.dce4d3deed58a4bb560559b41161a40bbb873a40677d40b1d8cc019179e02a45: 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
- 5.76
- sampling rate
- 16000
- media ready
- False