fleurs-sw ke.train.250af77949eeda11d85da833f673a28af9888ec1bff6eb3b137167d742a8dc63
fleurs-sw ke.train.250af77949eeda11d85da833f673a28af9888ec1bff6eb3b137167d742a8dc63: 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
- 10.86
- sampling rate
- 16000
- media ready
- False