| # Dataset Description | |
| ## Dataset Summary | |
| This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database. | |
| It contains the most recent version (2016-Full-genome), composed of 1,609 high-quality full-length genomes. | |
| The genes within these sequences were processed using the GeneCutter tool and translated into corresponding amino acid sequences using the BioPython library Seq.translate function. | |
| Supported Tasks and Leaderboards: None | |
| Languages: English | |
| ## Dataset Structure | |
| ### Data Instances | |
| Each column represents the protein amino acid sequence of the HIV genome. | |
| The ID field indicates the Genbank reference ID for future cross-referencing. | |
| There are 1,609 full length HIV genomes. | |
| Data Fields: ID, gag, pol, env, nef, tat, rev, proteome | |
| Data Splits: None | |
| ## Dataset Creation | |
| Curation Rationale: This dataset was curated to train a model (HIV-BERT) designed to predict a variety of sequence-dependent features regarding HIV. | |
| Initial Data Collection and Normalization: Dataset was downloaded and curated on 12/21/2021. | |
| ## Considerations for Using the Data | |
| Social Impact of Dataset: This dataset can be used to study sequence-dependent features of HIV, a virus that has claimed the lives of many individuals globally in the last few decades. | |
| Discussion of Biases: This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database full genome database and contains a representative sample from each subtype and geographic region. | |
| ## Additional Information: | |
| - Dataset Curators: Will Dampier | |
| - Citation Information: TBA |