Omkar2118/datasets huggingface dataset:
Placenta

**Placenta** is a benchmark dataset for node classification in an underexplored domain: predicting microanatomical tissue structures from cell graphs in placenta histology whole slide images. Cell graphs are large (>1 million nodes per image), node features are varied (64-dimensions of 11 types of cells), class labels are imbalanced (9 classes ranging from 0.21% of the data to 40.0%), and cellular communities cluster into heterogeneously distributed tissues of widely varying sizes (from 11 nodes to 44,671 nodes for a single structure).

Source: [A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs](https://arxiv.org/pdf/2211.06292v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.06292v1.pdf](https://arxiv.org/pdf/2211.06292v1.pdf)

Introducing paper: A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs