Datasets › B-XAIC

B-XAIC

Introduced by Magdalena Proszewska et al. in B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data28 May 2025 archive 2025-07-28

B-XAIC consists of 50K small molecules represented as graphs and includes 7 graph classification tasks, each with ground truth labels and corresponding explanations.

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Classification Graph Classification Explainable Artificial Intelligence (XAI)Explainable Models

License archive 2025-07-28

cc-by-sa-4.0

Modalities archive 2025-07-28

Graphs

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

B-XAIC

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections