HESCAPE (H&E + Spatial Contrastive Pretraining Benchmark) is a large-scale benchmark for multimodal learning in spatial transcriptomics.This repository hosts the PyArrow-formatted Hugging Face datasets for HESCAPE, organized by panel as dataset configs.

Available Configs (Panels)

This dataset repo exposes the following configs:

human-5k-panel
human-breast-panel
human-colon-panel
human-immuno-oncology-panel
human-lung-healthy-panel… See the full description on the dataset page: https://huggingface.co/datasets/Peng-AI/hescape-pyarrow.