fleurs-sw ke.train.78573b3f13d0009f7ee4232f5f8d8266ca7413c63874bb632fba4cce19bfd6a7
fleurs-sw ke.train.78573b3f13d0009f7ee4232f5f8d8266ca7413c63874bb632fba4cce19bfd6a7: 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
- 8.64
- sampling rate
- 16000
- media ready
- False