fleurs-sw ke.train.34e5d5bc4fd800508bb85d92ae55796af73826af8db1b803b183b64c5dd63f93
fleurs-sw ke.train.34e5d5bc4fd800508bb85d92ae55796af73826af8db1b803b183b64c5dd63f93: 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
- 32.22
- sampling rate
- 16000
- media ready
- False