{"url":"/dataset/csl","name":"CSL","full_name":null,"description_markdown":"CSL is a synthetic dataset introduced in [Murphy et al. (2019)](https://paperswithcode.com/paper/relational-pooling-for-graph-representations) to test the expressivity of GNNs. In particular, graphs are isomorphic if they have the same degree and the task is to classify non-isomorphic graphs.\r\n\r\nSource: [Benchmarking Graph Neural Networks](/paper/benchmarking-graph-neural-networks)","description_withheld":null,"homepage":"https://github.com/graphdeeplearning/benchmarking-gnns","introduced_date":"2020-03-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/benchmarking-graph-neural-networks","title":"Benchmarking Graph Neural Networks","first_author":"Vijay Prakash Dwivedi","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"},{"name":"Graph Classification","url":"/task/graph-classification","datasets_with_task":"/datasets/task/graph-classification"}],"languages":[],"variants":["CSL"],"data_loaders":[],"num_papers_in_archive":34,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/graph-classification-on-csl","task":"Graph Classification","dataset_variant":"CSL","rows":1,"metrics":["Acc"],"first_row_in_archive_order":{"model":"CIN","paper":"/paper/weisfeiler-and-lehman-go-cellular-cw-networks","metrics":{"Acc":"1"},"code_links":[{"title":"twitter-research/cwn","url":"https://github.com/twitter-research/cwn"},{"title":"josefhoppe/cwn-random-ccs","url":"https://github.com/josefhoppe/cwn-random-ccs"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/text-generation-on-csl","task":"Text Generation","dataset_variant":"CSL","rows":1,"metrics":["ROUGE-L"],"first_row_in_archive_order":{"model":"BART (TextBox 2.0)","paper":"/paper/textbox-2-0-a-text-generation-library-with","metrics":{"ROUGE-L":"64.34"},"code_links":[{"title":"RUCAIBox/TextBox","url":"https://github.com/RUCAIBox/TextBox"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/textbox-2-0-a-text-generation-library-with","title":"TextBox 2.0: A Text Generation Library with Pre-trained Language Models","date":"2022-12-26","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/weisfeiler-and-lehman-go-cellular-cw-networks","title":"Weisfeiler and Lehman Go Cellular: CW Networks","date":"2021-06-23","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"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."}