fleurs-sw ke.train.9eeda68f7b3424da05e14d754f2cf73d449f62dec43acb82efe536013d7b5b7e
fleurs-sw ke.train.9eeda68f7b3424da05e14d754f2cf73d449f62dec43acb82efe536013d7b5b7e: 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
- 10.32
- sampling rate
- 16000
- media ready
- False