Omkar2118/datasets huggingface dataset:
MoleculeCLA

We present MoleculeCLA: a large-scale dataset consisting of approximately 140,000 small molecules derived from computational ligand-target binding analysis, providing nine properties that cover chemical, physical, and biological aspects.

Introducing paper: MoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding Analysis
BrokenChairs-180K

The dataset contains around 180K rendered images with 100K classified as anomaly and 80K normal.
Different types of abnormalities include: missing parts, broken parts, swapped components, mis-alignments.
The query pose is unknown.
Testing is performed on previously unseen instances.

Introducing paper: Looking 3D: Anomaly Detection with 2D-3D Alignment