fleurs-sw ke.train.a2d9f06826ed5e7f9789871cb0c0add7938d3587b4c44cce2e032553cb6b90cc
fleurs-sw ke.train.a2d9f06826ed5e7f9789871cb0c0add7938d3587b4c44cce2e032553cb6b90cc: 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
- 9.06
- sampling rate
- 16000
- media ready
- False