fleurs-sw ke.train.c0f68cbe4c44ef2ba5e9520ad1d6d2b53e2c9ca51b00203f3c3268539babb6fa
fleurs-sw ke.train.c0f68cbe4c44ef2ba5e9520ad1d6d2b53e2c9ca51b00203f3c3268539babb6fa: 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
- 17.76
- sampling rate
- 16000
- media ready
- False