{"url":"/dataset/twitter-cyberthreat-detection-dataset","name":"Twitter Cyberthreat Detection Dataset","full_name":null,"description_markdown":"Twitter Cyberthreat Detection Dataset is a dataset that contains tweets from two sets of accounts related to cybersecurity. The tweets are annotated with different information such as whether they contain security-related information and named entities.\r\n\r\nSource: [https://arxiv.org/pdf/1904.01127.pdf](https://arxiv.org/pdf/1904.01127.pdf)","description_withheld":null,"homepage":"https://github.com/ndionysus/twitter-cyberthreat-detection","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/cyberthreat-detection-from-twitter-using-deep","title":"Cyberthreat Detection from Twitter using Deep Neural Networks","first_author":"Nuno Dionísio","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"}],"languages":[],"variants":["Twitter Cyberthreat Detection Dataset"],"data_loaders":[{"repo":"https://github.com/ndionysus/twitter-cyberthreat-detection","url":"https://github.com/ndionysus/twitter-cyberthreat-detection","frameworks":["pytorch"]}],"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."}