fleurs-sw ke.train.4ff68d48ebe53a340a4f963abe30030acbd760be11ae26855bafbe44630140eb
fleurs-sw ke.train.4ff68d48ebe53a340a4f963abe30030acbd760be11ae26855bafbe44630140eb: train task in FineEnvs/fleurs-asr-env, an RL environment on the Hugging Face Hub. Identify the language of this speech. Return only its FLEURS code, for example en us or hi in.
The task
Identify the language of this speech. Return only its FLEURS code, for example en_us or hi_in.
Task details
- language
- sw_ke
- language name
- Swahili
- family
- language_id
- mime
- audio/wav
- duration seconds
- 12.66
- sampling rate
- 16000
- media ready
- False