metadata
configs:
- config_name: clinical_data
data_files:
- split: train
path: Clinical Data (gatortron-base)/*
- config_name: pathology_report
data_files:
- split: train
path: Pathology Report (gatortron-base)/*
- config_name: slide_image
data_files:
- split: train
path: Slide Image (UNI)/*
language:
- en
tags:
- medical
pretty_name: TCGA
Dataset Card for Dataset Name
Dataset Details
Dataset Description
- Curated by: [More Information Needed]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
Uses
from datasets import load_dataset
clinical_dataset = load_dataset("Lab-Rasool/TCGA", "clinical_data", split="train")
pathology_report_dataset = load_dataset("Lab-Rasool/TCGA", "pathology_report", split="train")
slide_dataset = load_dataset("Lab-Rasool/TCGA", "slide_image", split="train")
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Data Collection and Processing
[More Information Needed]
Who are the source data producers?
[More Information Needed]
Citation
@article{honeybee,
title={HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models},
author={Aakash Tripathi and Asim Waqas and Yasin Yilmaz and Ghulam Rasool},
year={2024},
eprint={2405.07460},
archivePrefix={arXiv},
primaryClass={cs.LG}
}