Datasets:
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README.md
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pretty_name: TCGA
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# Dataset Card for 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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- **Curated by:**
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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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#### Who are the source data producers?
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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
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