{"url":"/dataset/m2e2","name":"M2E2","full_name":null,"description_markdown":"Aims to extract events and their arguments from multimedia documents. Develops the first benchmark and collect a dataset of 245 multimedia news articles with extensively annotated events and arguments.\r\n\r\nSource: [Cross-media Structured Common Space for Multimedia Event Extraction](/paper/cross-media-structured-common-space-for)","description_withheld":null,"homepage":"http://blender.cs.illinois.edu/software/m2e2/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/cross-media-structured-common-space-for","title":"Cross-media Structured Common Space for Multimedia Event Extraction","first_author":"Manling Li","url":null},"license":null,"modalities":[],"tasks":[{"name":"Event Extraction","url":"/task/event-extraction","datasets_with_task":"/datasets/task/event-extraction"}],"languages":[],"variants":["M2E2"],"data_loaders":[],"num_papers_in_archive":16,"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."}