fleurs-sw ke.train.2eaf216e13e8c89cf8c6e236d4f7093a1ce18a5b5afedebe62f3ea9786bf5639
fleurs-sw ke.train.2eaf216e13e8c89cf8c6e236d4f7093a1ce18a5b5afedebe62f3ea9786bf5639: 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
- 25.8
- sampling rate
- 16000
- media ready
- False