hescape-pyarrow

HESCAPE • PyArrow Format 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:

Source: Hugging Face Hub (Peng-AI/hescape-pyarrow). Metadata imported from the dataset’s Hub tags.