{"url":"/dataset/tumtraffic-videoqa","name":"TUMTraffic-VideoQA","full_name":null,"description_markdown":"TUMTraffic-VideoQA is a novel dataset designed to understand spatiotemporal video in complex roadside traffic scenarios. The dataset comprises 1,000 videos, featuring 85,000 multiple-choice QA pairs, 2,300 object captioning, and 5,700 object grounding annotations, encompassing diverse real-world conditions such as adverse weather and traffic anomalies. By incorporating tuple-based spatiotemporal object expressions, TUMTraffic-VideoQA unifies three essential tasks—multiple-choice video question answering, referred object captioning, and spatiotemporal object grounding—within a cohesive evaluation framework.","description_withheld":null,"homepage":"https://innovation-mobility.com/en/project-providentia/a9-dataset/","introduced_date":"2025-02-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/tumtraffic-videoqa-a-benchmark-for-unified","title":"TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes","first_author":"Xingcheng Zhou","url":null},"license":{"name":"CC BY-NC 4.0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Multiple-choice","url":"/task/multiple-choice","datasets_with_task":"/datasets/task/multiple-choice"},{"name":"Temporal Localization","url":"/task/temporal-localization","datasets_with_task":"/datasets/task/temporal-localization"},{"name":"3D Object Captioning","url":"/task/3d-object-captioning","datasets_with_task":"/datasets/task/3d-object-captioning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["TUMTraffic-VideoQA"],"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":"2026-09-25T09:33:49+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."}