fleurs-sw ke.train.7a97f30b1d298afa87b849dbc55de9fe200cfcfa0eebc81b8ac88b1c9eccc513
fleurs-sw ke.train.7a97f30b1d298afa87b849dbc55de9fe200cfcfa0eebc81b8ac88b1c9eccc513: 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
- 19.38
- sampling rate
- 16000
- media ready
- False