fleurs-sw ke.train.03d6a75c011f5b1dee7bbb946807f44f3db0f7332c81374357281335555baac2
fleurs-sw ke.train.03d6a75c011f5b1dee7bbb946807f44f3db0f7332c81374357281335555baac2: 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
- 25.8
- sampling rate
- 16000
- media ready
- False