Data package for evaluating sequence-to-function deep learning models for ancestry-stratified regulatory variant effect prediction

This dataset contains derived summary resources supporting the manuscript Evaluating sequence-to-function deep learning models for ancestry-stratified regulatory variant effect prediction. The package includes source tables for manuscript figures and supplementary tables, model-score summaries, fine-mapping benchmark tables, AUROC bootstrap summaries, functional-annotation summaries, compact supporting inputs, negative-control sensitivity summaries, and row-level prediction tables used for the summary analyses. The top-level README and MANIFEST describe the included files. Analysis code for model scoring, summary analyses, and manuscript figure/table generation is available at https://github.com/Xinyu-Sun/s2f_snp_eqtl_analysis_code, commit f9b2ecaa1c1dc8270381310af1c7e3e50cdc9150.