fleurs-sw ke.train.1e228bd97f0dc658c5d6fe8c2b07d838b8d3438aa817b577dec1378183d173f1
fleurs-sw ke.train.1e228bd97f0dc658c5d6fe8c2b07d838b8d3438aa817b577dec1378183d173f1: 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
- 17.64
- sampling rate
- 16000
- media ready
- False