SimbaBench_dataset

SibmaBench Data Release & Benchmarking To evaluate your model on SimbaBench across all supported tasks (ASR, TTS, and SLID), simply load the corresponding configuration for the task and language you wish to benchmark. Each task is organized by configuration name (e.g., asr test afr, tts test wol, slid 61 test). Loading a configuration provides the standardized evaluation split for that specific benchmark.Example: from datasets import load dataset data =… See the full description on the dataset page: dataset.

Source: Hugging Face Hub (UBC-NLP/SimbaBench_dataset). Metadata imported from the dataset’s Hub tags.