{"url":"/dataset/gvlqa","name":"GVLQA","full_name":"Graph Vision-Language Question-Answering","description_markdown":"GVLQA is the first vision-language QA dataset for general graph reasoning. \r\nContains a base set GVLQA-BASE and four image-augmented subsets GVLQA-AUGLY, GVLQA-AUGNO, GVLQA-AUGNS, GVLQA-AUGET, where the samples are relatively corresponding with the base set.\r\nContains 7 graph reasoning tasks: detecting cycle, connectivity, computing topological ordering, shortest path, maximum flow, bipartite matching num, and Hamilton path.\r\nUtility: \r\n1) evaluate the graph reasoning capabilities of VLMs or LLMs; \r\n2) help models acquire fundamental graph comprehension and reasoning abilities as a pretraining dataset.","description_withheld":null,"homepage":"https://huggingface.co/collections/Yanbin99/gvlqa-datasets-65c705c9488606617e246bd3","introduced_date":"2024-02-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/rendering-graphs-for-graph-reasoning-in","title":"GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning","first_author":"Yanbin Wei","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Graph Classification","url":"/task/graph-classification","datasets_with_task":"/datasets/task/graph-classification"},{"name":"Graph Regression","url":"/task/graph-regression","datasets_with_task":"/datasets/task/graph-regression"},{"name":"Graph Learning","url":"/task/graph-learning","datasets_with_task":"/datasets/task/graph-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["GVLQA"],"data_loaders":[],"num_papers_in_archive":2,"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."}