{"url":"/dataset/hpo-b","name":"HPO-B","full_name":null,"description_markdown":"HPO-B is a benchmark for assessing the performance of HPO (Hyperparameter optimization) algorithms.","description_withheld":null,"homepage":"https://github.com/releaunifreiburg/HPO-B","introduced_date":"2021-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/hpo-b-a-large-scale-reproducible-benchmark","title":"HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML","first_author":"Sebastian Pineda Arango","url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["HPO-B"],"data_loaders":[{"repo":"https://github.com/releaunifreiburg/HPO-B","url":"https://github.com/releaunifreiburg/HPO-B","frameworks":[]}],"num_papers_in_archive":17,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}