Improving data card

README.md

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+# Dataset Description 
+
+
+## Dataset Summary
+
+This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database. 
+It contains 2,935 HIV V3 loop protein sequences, which can interact with either CCR5 receptors on T-Cells or CXCR4 receptors on macrophages. 
+
+Supported Tasks and Leaderboards: None 
+
+Languages: English 
+ 
+## Dataset Structure
+
+### Data Instances
+Data Instances: Each column represents the protein amino acid sequence of the HIV V3 loop. 
+The ID field indicates the Genbank reference ID for future cross-referencing. 
+There are 2,935 total V3 sequences, with 91% being CCR5 tropic and 23% CXCR4 tropic. 
+Data Fields: ID, sequence, fold, CCR5, CXCR4 
+Data Splits: None 
+ 
+## Dataset Creation
+
+Curation Rationale: This dataset was curated to train a model (HIV-BERT-V3) designed to predict whether an HIV V3 loop would be CCR5 or CXCR4 tropic. 
+
+Initial Data Collection and Normalization: Dataset was downloaded and curated on 12/20/2021.  
+
+## Considerations for Using the Data
+
+Social Impact of Dataset: This dataset can be used to study the mechanism by which HIV V3 loops allow for entry into T-cells and macrophages. 
+
+Discussion of Biases: Due to the sampling nature of this database, it is predominantly composed of subtype B sequences from North America and Europe with only minor contributions of Subtype C, A, and D. 
+Currently, there was no effort made to balance the performance across these classes. 
+As such, one should consider refinement with additional sequences to perform well on non-B sequences. 
+
+## Additional Information: 
+ - Dataset Curators: Will Dampier 
+ - Citation Information: TBA
+
+
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 license: mit
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