fleurs-sw ke.train.be84cbfbc0cffed2cc231b6e8e836d5d1840b6476d5e6b0cfae8ffdae1a3806f
fleurs-sw ke.train.be84cbfbc0cffed2cc231b6e8e836d5d1840b6476d5e6b0cfae8ffdae1a3806f: 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
- 17.04
- sampling rate
- 16000
- media ready
- False