fleurs-sw ke.train.e2750b999b8ba63c48c8e0ba4b7da7a979f4b9b0fd9e1ec8728c2e7fddd51931
fleurs-sw ke.train.e2750b999b8ba63c48c8e0ba4b7da7a979f4b9b0fd9e1ec8728c2e7fddd51931: 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
- 22.44
- sampling rate
- 16000
- media ready
- False