fleurs-sw ke.train.9e42e262f45a84b7a0e8cad376ad31ed7b202267ac214bdbf07ecc83163b3559
fleurs-sw ke.train.9e42e262f45a84b7a0e8cad376ad31ed7b202267ac214bdbf07ecc83163b3559: 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
- 14.04
- sampling rate
- 16000
- media ready
- False