PanCancer Multimodal (HoneyBee)

Dataset Card for The Cancer Genome Atlas (TCGA) Multimodal Dataset

The Cancer Genome Atlas (TCGA) Multimodal Dataset is a comprehensive collection of clinical data, pathology reports, molecular, and slide images for cancer patients. This dataset aims to facilitate research in multimodal machine learning for oncology by providing embeddings generated using state-of-the-art models such as GatorTron, SeNMo, and UNI.

• Curated by: Lab Rasool
• Language(s) (NLP): English

Uses

from datasets import load_dataset

clinical_dataset = load_dataset("Lab-Rasool/TCGA", "clinical", split="train")
pathology_report_dataset = load_dataset("Lab-Rasool/TCGA", "pathology_report", split="train")
wsi_dataset = load_dataset("Lab-Rasool/TCGA", "wsi", split="train")
molecular_dataset = load_dataset("Lab-Rasool/TCGA", "molecular", split="train")