{"url":"/dataset/two-path","name":"Two-Path","full_name":null,"description_markdown":"Two-Path Computational Graph (CG) family introduced in \"GENNAPE: Towards Generalized Neural Architecture Performance Estimators\", accepted to AAAI-23. Contains 6.9k CIFAR-10 networks with an accuracy range of [85.53%, 92.34%].","description_withheld":null,"homepage":"https://github.com/Ascend-Research/GENNAPE","introduced_date":"2022-11-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/gennape-towards-generalized-neural","title":"GENNAPE: Towards Generalized Neural Architecture Performance Estimators","first_author":"Keith G. Mills","url":null},"license":{"name":"MIT License","url":"https://github.com/Ascend-Research/GENNAPE/blob/master/LICENSE"},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Two-Path"],"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."}