fleurs-sw ke.train.af95e7a5edc953ada83fa8696321cc8642910749df4a2b842a92242a9a6285ae
fleurs-sw ke.train.af95e7a5edc953ada83fa8696321cc8642910749df4a2b842a92242a9a6285ae: 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
- 23.52
- sampling rate
- 16000
- media ready
- False