fleurs-sw ke.train.b7dd3faa6e94e269c06df2cb5ddeae3e0aaa7f96301e8ec8896b8cf35dd60add
fleurs-sw ke.train.b7dd3faa6e94e269c06df2cb5ddeae3e0aaa7f96301e8ec8896b8cf35dd60add: 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
- 14.76
- sampling rate
- 16000
- media ready
- False