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README.md

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+# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
+{}
+---
+
+# Dataset Card for ClinVar Exomic Downstream Dataset
+
+The ClinVar dataset is derived from ClinVar, a publicly accessible database maintained by the [National Center for Biotechnology Information (NCBI)](https://www.ncbi.nlm.nih.gov/clinvar). ClinVar provides comprehensive information on the clinical significance of genetic variants and their associations with human diseases. This dataset focuses on variants located in exome-specific regions and includes input sequences generated from the Human Reference Genome (HRG).
+
+This dataset provides a valuable resource for researchers and practitioners working on genetic variant analysis and its clinical implications. By focusing on exome-specific regions and using sequences from the Human Reference Genome, this dataset enables robust evaluation of models on clinically significant tasks.
+
+## Dataset Details
+
+### Methods
+
+#### Data Collection
+
+1. **Source**: Variants are sourced from the ClinVar database.
+2. **Clinical Significance**: ClinVar provides detailed information on the clinical significance of each variant and its association with human diseases.
+
+#### Data Filtering
+
+1. **Exome-Specific Regions**: Filter the variants to include only those located in exome-specific regions.
+
+#### Sequence Generation
+
+1. **Human Reference Genome (HRG)**: For each variant, generate input sequences from the HRG.
+2. **Sequence Length**: The length of the sequences is a parameter, typically set to 100 base pairs (bp).
+3. **Variant Positioning**: The variant is centered within the sequence.
+
+### Tasks
+
+There are 7 tasks created using the ClinVar data.
+
+1. **Exome Pathogenicity Prediction**: Same as above, but variants are stratified between train/test sets to ensure that variants from the same gene don't appear in both. 
+2. **Exome Variants and Non-Variants**: Predict whether an exome sequence is a mutation or not. 
+3. **Phenotype Prediction**:
+    1. **Cancer-Predisposing Syndrome**: Predict whether a variant is associated with the phenotype of Hereditary Cancer-Predisposing Syndrome. 
+    2. **Cardiovascular Phenotypes**: Predict whether a variant is associated with cardiovascular phenotypes.
+5. **Gene Prediction**:
+    1. **BRCA**: Predict whether a variant belongs to BRCA1, BRCA2, or neither (breast cancer genes).
+    2. **TTN**: Predict whether a variant belongs to the TTN gene. 
+    3. **Top Ten Genes**: Predict whether a variant belongs to one of five (ten?) possible gene pools. 
+
+
+- **Curated by:** [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. -->
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+
+[More Information Needed]
+
+
+## Dataset Card Contact
+
+[More Information Needed]