fleurs-sw ke.train.b80183b1df653e4e3ca44a4eb55d6e6fe95c4d0c682b91361fee4737b6f6cd06
fleurs-sw ke.train.b80183b1df653e4e3ca44a4eb55d6e6fe95c4d0c682b91361fee4737b6f6cd06: 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
- 22.2
- sampling rate
- 16000
- media ready
- False