Omkar2118/datasets huggingface dataset:
Summaries of genetic variation

The dataset represents data generated from a commonly used model in population genetics. It comprises a matrix of 1,000,000 rows and 9 columns, representing parameters and summaries generated by an infinite-sites coalescent model for genetic variation. The first two columns encode the scaled mutation rate (theta) and scaled recombination rate (rho). The subsequent seven columns are data summaries: number of segregating sites (C1), standard uniform random noise acting as a distractor (C2), pairwise mean number of nucleotidic differences (C3), mean $R^2$ across pairs separated by <10% of the simulated genomic regions (C4), number of distinct haplotypes (C5), frequency of the most common haplotype (C6), number of singleton haplotypes (C7).

(this text is not original and adapted from https://journal.r-project.org/archive/2015-2/nunes-prangle.pdf).

Introducing paper: On Optimal Selection of Summary Statistics for Approximate Bayesian Computation