{"url":"/dataset/sndzoo","name":"SNDZoo","full_name":"The Softwarised Network Data Zoo","description_markdown":"The softwarised network data zoo (SNDZoo) is an open collection of software networking data sets aiming to streamline and ease machine learning research in the software networking domain. Most of the published data sets focus on, but are not limited to, the performance of virtualised network functions (VNFs). The data is collected using fully automated NFV benchmarking frameworks, such as tng-bench, developed by us or third party solutions like Gym. The collection of the presented data sets follows the general VNF benchmarking methodology described in.","description_withheld":null,"homepage":"https://sndzoo.github.io/","introduced_date":"2019-10-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-softwarised-network-data-zoo","title":"The Softwarised Network Data Zoo","first_author":"Manuel Peuster","url":null},"license":{"name":"Creative Commons Attribution-ShareAlike 4.0 International License","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"},{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[],"languages":[],"variants":["SNDZoo"],"data_loaders":[],"num_papers_in_archive":2,"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."}