UBC-NLP/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: https://huggingface.co/datasets/UBC-NLP/SimbaBench_dataset.