{"url":"/dataset/b-xaic","name":"B-XAIC","full_name":null,"description_markdown":"B-XAIC consists of 50K small molecules represented as graphs and includes 7 graph classification tasks, each with ground truth labels and corresponding explanations.","description_withheld":null,"homepage":"https://huggingface.co/datasets/mproszewska/B-XAIC","introduced_date":"2025-05-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/b-xaic-dataset-benchmarking-explainable-ai","title":"B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data","first_author":"Magdalena Proszewska","url":null},"license":{"name":"cc-by-sa-4.0","url":"https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/cc-by-sa-4.0.md"},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Graph Classification","url":"/task/graph-classification","datasets_with_task":"/datasets/task/graph-classification"},{"name":"Explainable Artificial Intelligence (XAI)","url":"/task/xai","datasets_with_task":"/datasets/task/xai"},{"name":"Explainable Models","url":"/task/explainable-models","datasets_with_task":"/datasets/task/explainable-models"}],"languages":[],"variants":["B-XAIC"],"data_loaders":[],"num_papers_in_archive":1,"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."}