Curated test splits for studying Shapley-value explanations in multimodal large language models (text and audio inputs). Each configuration is a filtered, size-controlled subset built for reproducible benchmarking—not a full copy of the upstream corpora.
Configs follow the naming pattern {task}__{source} (for example single_sentence__voice_bench).
Pin a dataset revision for reproducibility (replace REVISION with the commit hash… See the full description on the dataset page:
https://huggingface.co/datasets/Pawlo77/mllm-shap.
