fleurs-sw ke.train.590fe5bb9298e810f4a3c3c5d1dbeb3ca9a3273f7dd999a4ec90bbd68393c9ce
fleurs-sw ke.train.590fe5bb9298e810f4a3c3c5d1dbeb3ca9a3273f7dd999a4ec90bbd68393c9ce: 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
- 12.72
- sampling rate
- 16000
- media ready
- False