{"url":"/dataset/p2gb","name":"P2GB","full_name":null,"description_markdown":"A benchmark designed to evaluate MLLMs’ proficiency in understanding inter-object relationships and textual content.","description_withheld":null,"homepage":"https://huggingface.co/datasets/Valorix/P2GB","introduced_date":"2024-03-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/plug-and-play-grounding-of-reasoning-in","title":"Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models","first_author":"Jiaxing Chen","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"},{"name":"Visual Reasoning","url":"/task/visual-reasoning","datasets_with_task":"/datasets/task/visual-reasoning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["P2GB"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}