datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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: https://huggingface.co/datasets/Peng-AI/hescape-pyarrow.p3hw1-pen-detection
P3HW1 — Pen Detection (Binary) — 224×224
Purpose
Binary image classification: does the image contain a pen?
A compact dataset for course assignments and demos.
Dataset Composition
Original split (normalized to 224×224): 34 images
pen: 17
no pen: 17
Augmented split (also 224×224): 306 images
Contains the 34 resized originals plus 272 label‑preserving augmentations.
All 34 original images were student‑captured (17 pen, 17 no pen) under varied backgrounds… See the full description on the dataset page: https://huggingface.co/datasets/0408happyfeet/p3hw1-pen-detection.