fleurs-sw ke.train.3248a7f0add1a8a4b6e2ac3230045e0624148d704d0883e0c504ce5f7085de9a
fleurs-sw ke.train.3248a7f0add1a8a4b6e2ac3230045e0624148d704d0883e0c504ce5f7085de9a: 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
- 14.22
- sampling rate
- 16000
- media ready
- False