{"url":"/dataset/molopt","name":"MolOpt","full_name":"Molecular Optimization","description_markdown":"Open-source benchmark for Practical Molecular Optimization (PMO), to facilitate the transparent and reproducible evaluation of algorithmic advances in molecular optimization. This repository supports 25 molecular design algorithms on 23 tasks with a particular focus on sample efficiency (oracle calls).","description_withheld":null,"homepage":"https://github.com/wenhao-gao/mol_opt","introduced_date":"2022-06-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/sample-efficiency-matters-a-benchmark-for","title":"Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization","first_author":null,"url":null},"license":{"name":"MIT","url":"https://github.com/wenhao-gao/mol_opt/blob/main/LICENSE"},"modalities":[],"tasks":[],"languages":[],"variants":[],"data_loaders":[],"num_papers_in_archive":5,"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."}