{"url":"/dataset/cap-data","name":"CAP-DATA","full_name":null,"description_markdown":"**CAP-DATA** is a large-scale benchmark consisting of 11,727 in-the-wild accident videos with over 2.19 million frames together with labeled fact-effect-reason-introspection description and temporal accident frame label. It can support many useful tasks for accident inference, such as accident detection and prediction (AccidentDet/Pre), causal inference of accident (Accident-Causal), accident classification (Accident-Cla), text-video based accident retrieval (Accident-Retri), and question answering in an accident (Accident-QA) of the driving scene.\r\n\r\nSource: [Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark](https://arxiv.org/pdf/2212.09381v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2212.09381v1.pdf](https://arxiv.org/pdf/2212.09381v1.pdf)","description_withheld":null,"homepage":"https://github.com/JWFanggit/LOTVS-CAP","introduced_date":"2022-12-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/cognitive-accident-prediction-in-driving","title":"Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark","first_author":"Jianwu Fang","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Traffic Accident Detection","url":"/task/traffic-accident-detection","datasets_with_task":"/datasets/task/traffic-accident-detection"},{"name":"Accident Anticipation","url":"/task/accident-anticipation","datasets_with_task":"/datasets/task/accident-anticipation"}],"languages":[],"variants":["CAP-DATA"],"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."}