fleurs-sw ke.train.c36b436d9760c80cbd2086b79cf42bce0fcf321d6e8b510c7fa7100a1bde6719
fleurs-sw ke.train.c36b436d9760c80cbd2086b79cf42bce0fcf321d6e8b510c7fa7100a1bde6719: 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
- 7.32
- sampling rate
- 16000
- media ready
- False