--- 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 ```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 [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} } ```