fleurs-sw ke.train.35f7119ef28a0c9b1fc3977fe5f646b06fb4dc940145681178d1053ecce995cc
fleurs-sw ke.train.35f7119ef28a0c9b1fc3977fe5f646b06fb4dc940145681178d1053ecce995cc: 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
- 21.96
- sampling rate
- 16000
- media ready
- False