fleurs-sw ke.train.0fb9bf6709a82cb6bf247f9c5933a8208be1863f4d4a3650e14bafc1a9e5cb48
fleurs-sw ke.train.0fb9bf6709a82cb6bf247f9c5933a8208be1863f4d4a3650e14bafc1a9e5cb48: 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
- 15.9
- sampling rate
- 16000
- media ready
- False