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  pretty_name: TCGA
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  ---
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- # Dataset Card for Dataset Name
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  <!-- Provide a quick summary of the dataset. -->
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  ## Dataset Details
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  ### Dataset Description
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- <!-- Provide a longer summary of what this dataset is. -->
 
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- - **Curated by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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  ## Uses
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  ## Dataset Creation
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- ### Curation Rationale
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- <!-- Motivation for the creation of this dataset. -->
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- [More Information Needed]
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- ### Source Data
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- <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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  #### Data Collection and Processing
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- <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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- [More Information Needed]
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  #### Who are the source data producers?
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- <!-- 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. -->
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- [More Information Needed]
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  ## Citation
 
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  pretty_name: TCGA
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+ # Dataset Card for The Cancer Genome Atlas (TCGA) Multimodal Dataset
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  <!-- Provide a quick summary of the dataset. -->
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  ## Dataset Details
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  ### Dataset Description
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+ The Cancer Genome Atlas (TCGA) Multimodal Dataset is a comprehensive collection of clinical data, pathology reports, and slide images for cancer patients.
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+ 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 and UNI.
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+ - **Curated by:** Lab Rasool
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+ - **Language(s) (NLP):** English
 
 
 
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  ## Uses
 
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  ## Dataset Creation
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  #### Data Collection and Processing
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+ The raw data for this dataset was acquired using MINDS, a multimodal data aggregation tool developed by Lab Rasool.
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+ The collected data includes clinical information, pathology reports, and whole slide images from The Cancer Genome Atlas (TCGA).
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+ The embeddings were generated using the HoneyBee embedding processing tool, which utilizes foundational models such as GatorTron and UNI.
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  #### Who are the source data producers?
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+ The source data for this dataset was originally collected and maintained by The Cancer Genome Atlas (TCGA) program, a landmark cancer genomics project jointly managed by the National Cancer Institute (NCI).
 
 
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  ## Citation