{"url":"/dataset/interaction-dataset","name":"INTERACTION Dataset","full_name":null,"description_markdown":"The INTERACTION dataset contains naturalistic motions of various traffic participants in a variety of highly interactive driving scenarios from different countries. The dataset can serve for many behavior-related research areas, such as \r\n\r\n- 1) intention/behavior/motion prediction, \r\n- 2) behavior cloning and imitation learning,\r\n- 3) behavior analysis and modeling,\r\n- 4) motion pattern and representation learning,\r\n- 5) interactive behavior extraction and categorization,\r\n- 6) social and human-like behavior generation,\r\n- 7) decision-making and planning algorithm development and verification,\r\n- 8) driving scenario/case generation, etc. \r\n\r\nSource: [https://interaction-dataset.com/](https://interaction-dataset.com/)\r\nImage Source: [https://interaction-dataset.com/](https://interaction-dataset.com/)","description_withheld":null,"homepage":"https://interaction-dataset.com/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/interaction-dataset-an-international","title":"INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps","first_author":"Wei Zhan","url":null},"license":{"name":"Custom (non-commercial)","url":"https://interaction-dataset.com/terms-for-non-commercial-use"},"modalities":[],"tasks":[{"name":"Autonomous Vehicles","url":"/task/autonomous-vehicles","datasets_with_task":"/datasets/task/autonomous-vehicles"},{"name":"Trajectory Prediction","url":"/task/trajectory-prediction","datasets_with_task":"/datasets/task/trajectory-prediction"},{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"Imitation Learning","url":"/task/imitation-learning","datasets_with_task":"/datasets/task/imitation-learning"}],"languages":[],"variants":["INTERACTION Dataset","INTERACTION Dataset - Validation ADE","INTERACTION Dataset - Validation FDE","INTERACTION Dataset - Validation"],"data_loaders":[],"num_papers_in_archive":81,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/trajectory-prediction-on-interaction-dataset-2","task":"Trajectory Prediction","dataset_variant":"INTERACTION Dataset - Validation","rows":4,"metrics":["minADE6","minFDE6","minFDE1"],"first_row_in_archive_order":{"model":"ITRA","paper":"/paper/imagining-the-road-ahead-multi-agent","metrics":{"minADE6":"0.17","minFDE6":"0.49"},"code_links":[{"title":"inverted-ai/torchdrivesim","url":"https://github.com/inverted-ai/torchdrivesim"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/gohome-graph-oriented-heatmap-output","title":"GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation","date":"2021-09-04","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/imagining-the-road-ahead-multi-agent","title":"Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation","date":"2021-04-22","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":0,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/tnt-target-driven-trajectory-prediction","title":"TNT: Target-driveN Trajectory Prediction","date":"2020-08-19","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/desire-distant-future-prediction-in-dynamic","title":"DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents","date":"2017-04-14","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":10,"samples_ran":1,"samples_unverified":9,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":1,"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."}