fleurs-sw ke.train.1598bd8a39603af09aba1da36dbe707f5f42b946b4914d2d5d4e8aad6d9d3a77
fleurs-sw ke.train.1598bd8a39603af09aba1da36dbe707f5f42b946b4914d2d5d4e8aad6d9d3a77: 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
- 18.24
- sampling rate
- 16000
- media ready
- False