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The dataset originates from the Los Alamos National Laboratory (LANL) HIV sequence database and contains 1,609 high‑quality full‑genome HIV sequences from the 2016 release. Sequences were processed with the GeneCutter tool and translated to amino‑acid sequences using BioPython's `Seq.translate`. The dataset is intended to train an HIV‑BERT model for predicting various HIV‑related features. It includes fields such as ID, gag, pol, env, nef, tat, rev, and proteome, each representing the protein amino‑acid sequence of the corresponding HIV gene. The dataset can be used for research on HIV sequence characteristics, a virus that has caused millions of deaths globally over past decades.
