{"url":"/dataset/cti-to-mitre","name":"CTI-to-MITRE","full_name":null,"description_markdown":"This dataset contains samples of CTI (Cyber Threat Intelligence) data in natural language, labeled with the corresponding adversarial techniques from the MITRE ATT&CK framework.\r\n\r\nThis dataset can be used for research on analyzing tactics and techniques of cyber attacks from text in natural language.","description_withheld":null,"homepage":"https://github.com/dessertlab/cti-to-mitre-with-nlp","introduced_date":"2022-08-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/automatic-mapping-of-unstructured-cyber","title":"Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study","first_author":"Vittorio Orbinato","url":null},"license":{"name":"CC-BY-SA-4.0 license","url":"https://github.com/dessertlab/cti-to-mitre-with-nlp/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CTI-to-MITRE"],"data_loaders":[],"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."}