fleurs-sw ke.train.6d9fb7dba4332b42ef04447d2ad5b4ee422bdd64336b28e3c384541f4b5a7e3c
fleurs-sw ke.train.6d9fb7dba4332b42ef04447d2ad5b4ee422bdd64336b28e3c384541f4b5a7e3c: 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
- 13.32
- sampling rate
- 16000
- media ready
- False