fleurs-sw ke.train.777aad389464f5099b49e2b1b6a7f111d9882c5b91ef23a9b68c5a11a7051eff
fleurs-sw ke.train.777aad389464f5099b49e2b1b6a7f111d9882c5b91ef23a9b68c5a11a7051eff: 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
- 21.48
- sampling rate
- 16000
- media ready
- False