{"url":"/dataset/crisismmd","name":"CrisisMMD","full_name":null,"description_markdown":"CrisisMMD is a large multi-modal dataset collected from Twitter during different natural disasters. It consists of several thousands of manually annotated tweets and images collected during seven major natural disasters including earthquakes, hurricanes, wildfires, and floods that happened in the year 2017 across different parts of the World. The provided datasets include three types of annotations.","description_withheld":null,"homepage":"https://crisisnlp.qcri.org/crisismmd.html","introduced_date":"2018-05-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/crisismmd-multimodal-twitter-datasets-from","title":"CrisisMMD: Multimodal Twitter Datasets from Natural Disasters","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Informativeness","url":"/task/informativeness","datasets_with_task":"/datasets/task/informativeness"},{"name":"Disaster Response","url":"/task/disaster-response","datasets_with_task":"/datasets/task/disaster-response"}],"languages":[],"variants":["CrisisMMD"],"data_loaders":[],"num_papers_in_archive":25,"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."}