fleurs-sw ke.train.23164ec361bba37e979261d8174c7e7e692ea2f7dd70be5a3b69af581d1ddc73
fleurs-sw ke.train.23164ec361bba37e979261d8174c7e7e692ea2f7dd70be5a3b69af581d1ddc73: 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
- 18.12
- sampling rate
- 16000
- media ready
- False