fleurs-sw ke.train.fa95f42d0b7296e69f7cc0bf1e51d1ccc8946869f0dc50679ddf9a8a7e6bc0c5
fleurs-sw ke.train.fa95f42d0b7296e69f7cc0bf1e51d1ccc8946869f0dc50679ddf9a8a7e6bc0c5: 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
- 14.46
- sampling rate
- 16000
- media ready
- False