fleurs-sw ke.train.f33d7e4ea842749e1aad8d45a30fbc7c5dc461cb20659d3db5b0ad6a5a6f792c
fleurs-sw ke.train.f33d7e4ea842749e1aad8d45a30fbc7c5dc461cb20659d3db5b0ad6a5a6f792c: 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
- 13.32
- sampling rate
- 16000
- media ready
- False