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