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TCGA / README.md
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---
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
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **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
<!-- Address questions around how the dataset is intended to be used. -->
```python
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
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
```
@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}
}
```