{"url":"/dataset/osptrack-a-labeled-dataset-targeting","name":"OSPtrack: A Labeled Dataset Targeting Simulated Execution of Open-Source Software","full_name":null,"description_markdown":"capturing features generated duringthe execution of packages and libraries in isolated environments.The dataset includes 9,461 package reports, of which 1,962 are\r\nidentified as malicious, and encompasses both static and dynamic\r\nfeatures such as files, sockets, commands, and DNS records.\r\nEach report is labeled with verified information and detailed\r\nsub-labels for attack types, facilitating the identification of\r\nmalicious indicators when source code is unavailable. This dataset\r\nsupports runtime detection, enhances detection model training,\r\nand enables efficient comparative analysis across ecosystems,\r\ncontributing to the strengthening of supply chain security","description_withheld":null,"homepage":"https://zenodo.org/records/14680781","introduced_date":"2024-11-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/osptrack-a-labeled-dataset-targeting","title":"OSPtrack: A Labeled Dataset Targeting Simulated Execution of Open-Source Software","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["OSPtrack: A Labeled Dataset Targeting Simulated Execution of Open-Source Software"],"data_loaders":[],"num_papers_in_archive":1,"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."}