EstherrrCheng/mea-benchmark

MEA-Benchmark A benchmark dataset for evaluating explainability of neural network models across three modalities (tabular, vision, text) with ten question types (Q1–Q10). Dataset Structure Each split (train, test) is organized by modality and then by {dataset}_{model}_{q_type}.json: {split}/ ├── tabular/ │ ├── adult_2layernn_q1.json │ ├── adult_tabnn_q1.json │ ├── cancer_2layernn_q1.json │ ├── cancer_tabnn_q1.json │ └── ... ├── text/ │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/EstherrrCheng/mea-benchmark.