{"url":"/dataset/enron-email-dataset","name":"Enron Emails","full_name":null,"description_markdown":"This dataset was collected and prepared by the CALO Project (A Cognitive Assistant that Learns and Organizes). It contains data from about 150 users, mostly senior management of Enron, organized into folders. The corpus contains a total of about 0.5M messages. This data was originally made public, and posted to the web, by the Federal Energy Regulatory Commission during its investigation.","description_withheld":null,"homepage":"https://www.cs.cmu.edu/~enron/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Dynamic Link Prediction","url":"/task/dynamic-link-prediction","datasets_with_task":"/datasets/task/dynamic-link-prediction"},{"name":"Actionable Phrase Detection","url":"/task/actionable-phrase-detection","datasets_with_task":"/datasets/task/actionable-phrase-detection"},{"name":"Authorship Verification","url":"/task/authorship-verification","datasets_with_task":"/datasets/task/authorship-verification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Enron Emails"],"data_loaders":[],"num_papers_in_archive":18,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/dynamic-link-prediction-on-enron-email","task":"Dynamic Link Prediction","dataset_variant":"Enron Emails","rows":7,"metrics":["AP","AUC","MRR"],"first_row_in_archive_order":{"model":"Euler","paper":"/paper/euler-detecting-network-lateral-movement-via","metrics":{"AP":"94.10","AUC":"93.15"},"code_links":[{"title":"iHeartGraph/Euler","url":"https://github.com/iHeartGraph/Euler"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/contrastive-representation-learning-for-3","title":"Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks","date":"2024-08-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/euler-detecting-network-lateral-movement-via","title":"Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction","date":"2022-04-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/variational-graph-recurrent-neural-networks","title":"Variational Graph Recurrent Neural Networks","date":"2019-08-26","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/evolvegcn-evolving-graph-convolutional","title":"EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs","date":"2019-02-26","rows_on_this_dataset":2,"code_links":10,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":3,"samples_unverified":8,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dyngraph2vec-capturing-network-dynamics-using","title":"dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning","date":"2018-09-07","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":12,"samples_ran":4,"samples_unverified":8,"pointer_only_for_licence":2,"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."}