KITScenes-LongTail: Rare Driving Scenarios in FiftyOne

KITScenes-LongTail is a curated dataset focusing on rare driving scenarios that pose significant challenges for autonomous driving systems. Comprising 103 real nine-second events, the dataset is integrated into the FiftyOne platform, offering six-camera video captures, a VGGT-Omega 3D reconstruction, and expert reasoning traces in English, Spanish, and Chinese. These scenarios highlight the "long-tail" problem, where autonomous models often lack exposure to infrequent but critical events like foggy conditions or complex maneuvers. The dataset emphasizes the importance of including rare occurrences that standard models typically overlook, aiming to enhance model robustness and safety. It provides a rich resource for benchmarking model performance using multi-maneuver scores and exploring multilingual reasoning, with pre-computed Qwen3-VL embeddings for advanced analytics. The dataset, released under CC BY-NC 4.0, is not for commercial use and represents a significant step towards addressing the statistical challenges in autonomous driving data collection.

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